diff --git a/.gitignore b/.gitignore
index a2e55c3f..3a9ad0b8 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,9 +1,11 @@
node_modules
.rpt2_cache
.env*
+
tmp
proto
weights_uncompressed
weights_unused
docs
-out
\ No newline at end of file
+out
+build
\ No newline at end of file
diff --git a/.npmignore b/.npmignore
index f0284d72..48c03f67 100644
--- a/.npmignore
+++ b/.npmignore
@@ -6,6 +6,7 @@ proto
weights
weights_uncompressed
weights_unused
+src
test
tools
docs
\ No newline at end of file
diff --git a/.travis.yml b/.travis.yml
index 317e775f..70b26bae 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -1,11 +1,15 @@
sudo: required
language: node_js
node_js:
- - "node"
+ #- "node"
+ - "12"
+ - "11"
- "10"
- "8"
# node 6 is not compatible with tfjs-node
# - "6"
+services:
+ - xvfb
env:
global:
- BACKEND_CPU=true EXCLUDE_UNCOMPRESSED=true
@@ -15,9 +19,6 @@ env:
addons:
chrome: stable
install: npm install
-before_install:
- - export DISPLAY=:99.0
- - sh -e /etc/init.d/xvfb start
script:
- if [ $ENV == 'browser' ]; then npm run test-browser; fi
- if [ $ENV == 'node' ]; then npm run test-node; fi
diff --git a/README.md b/README.md
index 7d84e0d2..df98850e 100644
--- a/README.md
+++ b/README.md
@@ -3,86 +3,63 @@
[](https://travis-ci.org/justadudewhohacks/face-api.js)
[](https://slack.bri.im)
-**JavaScript API for face detection and face recognition in the browser implemented on top of the tensorflow.js core API ([tensorflow/tfjs-core](https://github.com/tensorflow/tfjs-core))**
+**JavaScript face recognition API for the browser and nodejs implemented on top of tensorflow.js core ([tensorflow/tfjs-core](https://github.com/tensorflow/tfjs))**
-Table of Contents:
+
-* **[Resources](#resources)**
- * **[Live Demos](#live-demos)**
- * **[Tutorials](#tutorials)**
-* **[Examples](#examples)**
- * **[Running the Examples](#running-the-examples)**
-* **[Available Models](#models)**
- * **[Face Detection Models](#models-face-detection)**
- * **[68 Point Face Landmark Detection Models](#models-face-landmark-detection)**
- * **[Face Recognition Model](#models-face-recognition)**
- * **[Face Expression Recognition Model](#models-face-expression-recognition)**
-* **[Getting Started](#getting-started)**
- * **[face-api.js for the Browser](#getting-started-browser)**
- * **[face-api.js for Nodejs](#getting-started-nodejs)**
-* **[Usage](#usage)**
- * **[Loading the Models](#usage-loading-models)**
- * **[High Level API](#usage-high-level-api)**
- * **[Displaying Detection Results](#usage-displaying-detection-results)**
- * **[Face Detection Options](#usage-face-detection-options)**
- * **[Utility Classes](#usage-utility-classes)**
- * **[Other Useful Utility](#other-useful-utility)**
-* **[API Documentation](https://justadudewhohacks.github.io/face-api.js/docs/globals.html)**
-
-
-
-# Resources
-
-
-
-## Live Demos
-
-**[Check out the live demos!](https://justadudewhohacks.github.io/face-api.js/)**
-
-
+## **[Click me for Live Demos!](https://justadudewhohacks.github.io/face-api.js/)**
## Tutorials
-Check out my face-api.js tutorials:
-
* **[face-api.js — JavaScript API for Face Recognition in the Browser with tensorflow.js](https://itnext.io/face-api-js-javascript-api-for-face-recognition-in-the-browser-with-tensorflow-js-bcc2a6c4cf07)**
* **[Realtime JavaScript Face Tracking and Face Recognition using face-api.js’ MTCNN Face Detector](https://itnext.io/realtime-javascript-face-tracking-and-face-recognition-using-face-api-js-mtcnn-face-detector-d924dd8b5740)**
+* **[Realtime Webcam Face Detection And Emotion Recognition - Video](https://youtu.be/CVClHLwv-4I)**
+* **[Easy Face Recognition Tutorial With JavaScript - Video](https://youtu.be/AZ4PdALMqx0)**
+* **[Using face-api.js with Vue.js and Electron](https://medium.com/@andreas.schallwig/do-not-laugh-a-simple-ai-powered-game-3e22ad0f8166)**
+* **[Add Masks to People - Gant Laborde on Learn with Jason](https://www.learnwithjason.dev/fun-with-machine-learning-pt-2)**
+
+## Table of Contents
+
+* **[Features](#features)**
+* **[Running the Examples](#running-the-examples)**
+* **[face-api.js for the Browser](#face-api.js-for-the-browser)**
+* **[face-api.js for Nodejs](#face-api.js-for-nodejs)**
+* **[Usage](#getting-started)**
+ * **[Loading the Models](#getting-started-loading-models)**
+ * **[High Level API](#high-level-api)**
+ * **[Displaying Detection Results](#getting-started-displaying-detection-results)**
+ * **[Face Detection Options](#getting-started-face-detection-options)**
+ * **[Utility Classes](#getting-started-utility-classes)**
+ * **[Other Useful Utility](#other-useful-utility)**
+* **[Available Models](#models)**
+ * **[Face Detection](#models-face-detection)**
+ * **[Face Landmark Detection](#models-face-landmark-detection)**
+ * **[Face Recognition](#models-face-recognition)**
+ * **[Face Expression Recognition](#models-face-expression-recognition)**
+ * **[Age Estimation and Gender Recognition](#models-age-and-gender-recognition)**
+* **[API Documentation](https://justadudewhohacks.github.io/face-api.js/docs/globals.html)**
-
-
-# Examples
+# Features
## Face Recognition
-
+
-
-
-## Face Similarity
+## Face Landmark Detection
-
+
## Face Expression Recognition
-## Face Landmark Detection
-
-
-
-
-
-## Realtime Face Tracking
-
-
+## Age Estimation & Gender Recognition
-## MTCNN
-
-
+
-## Running the Examples
+# Running the Examples
Clone the repository:
@@ -90,7 +67,7 @@ Clone the repository:
git clone https://github.com/justadudewhohacks/face-api.js.git
```
-### Running the Browser Examples
+## Running the Browser Examples
``` bash
cd face-api.js/examples/examples-browser
@@ -100,7 +77,7 @@ npm start
Browse to http://localhost:3000/.
-### Running the Nodejs Examples
+## Running the Nodejs Examples
``` bash
cd face-api.js/examples/examples-nodejs
@@ -120,65 +97,9 @@ tsc faceDetection.ts
node faceDetection.js
```
-
-
-# Available Models
-
-
-
-## Face Detection Models
-
-### SSD Mobilenet V1
-
-For face detection, this project implements a SSD (Single Shot Multibox Detector) based on MobileNetV1. The neural net will compute the locations of each face in an image and will return the bounding boxes together with it's probability for each face. This face detector is aiming towards obtaining high accuracy in detecting face bounding boxes instead of low inference time. The size of the quantized model is about 5.4 MB (**ssd_mobilenetv1_model**).
-
-The face detection model has been trained on the [WIDERFACE dataset](http://mmlab.ie.cuhk.edu.hk/projects/WIDERFace/) and the weights are provided by [yeephycho](https://github.com/yeephycho) in [this](https://github.com/yeephycho/tensorflow-face-detection) repo.
-
-### Tiny Face Detector
-
-The Tiny Face Detector is a very performant, realtime face detector, which is much faster, smaller and less resource consuming compared to the SSD Mobilenet V1 face detector, in return it performs slightly less well on detecting small faces. This model is extremely mobile and web friendly, thus it should be your GO-TO face detector on mobile devices and resource limited clients. The size of the quantized model is only 190 KB (**tiny_face_detector_model**).
-
-The face detector has been trained on a custom dataset of ~14K images labeled with bounding boxes. Furthermore the model has been trained to predict bounding boxes, which entirely cover facial feature points, thus it in general produces better results in combination with subsequent face landmark detection than SSD Mobilenet V1.
-
-This model is basically an even tinier version of Tiny Yolo V2, replacing the regular convolutions of Yolo with depthwise separable convolutions. Yolo is fully convolutional, thus can easily adapt to different input image sizes to trade off accuracy for performance (inference time).
-
-### MTCNN
-
-**Note, this model is mostly kept in this repo for experimental reasons. In general the other face detectors should perform better, but of course you are free to play around with MTCNN.**
-
-MTCNN (Multi-task Cascaded Convolutional Neural Networks) represents an alternative face detector to SSD Mobilenet v1 and Tiny Yolo v2, which offers much more room for configuration. By tuning the input parameters, MTCNN should be able to detect a wide range of face bounding box sizes. MTCNN is a 3 stage cascaded CNN, which simultaneously returns 5 face landmark points along with the bounding boxes and scores for each face. Additionally the model size is only 2MB.
-
-MTCNN has been presented in the paper [Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks](https://kpzhang93.github.io/MTCNN_face_detection_alignment/paper/spl.pdf) by Zhang et al. and the model weights are provided in the official [repo](https://github.com/kpzhang93/MTCNN_face_detection_alignment) of the MTCNN implementation.
-
-
-
-## 68 Point Face Landmark Detection Models
-
-This package implements a very lightweight and fast, yet accurate 68 point face landmark detector. The default model has a size of only 350kb (**face_landmark_68_model**) and the tiny model is only 80kb (**face_landmark_68_tiny_model**). Both models employ the ideas of depthwise separable convolutions as well as densely connected blocks. The models have been trained on a dataset of ~35k face images labeled with 68 face landmark points.
-
-
-
-## Face Recognition Model
-
-For face recognition, a ResNet-34 like architecture is implemented to compute a face descriptor (a feature vector with 128 values) from any given face image, which is used to describe the characteristics of a persons face. The model is **not** limited to the set of faces used for training, meaning you can use it for face recognition of any person, for example yourself. You can determine the similarity of two arbitrary faces by comparing their face descriptors, for example by computing the euclidean distance or using any other classifier of your choice.
-
-The neural net is equivalent to the **FaceRecognizerNet** used in [face-recognition.js](https://github.com/justadudewhohacks/face-recognition.js) and the net used in the [dlib](https://github.com/davisking/dlib/blob/master/examples/dnn_face_recognition_ex.cpp) face recognition example. The weights have been trained by [davisking](https://github.com/davisking) and the model achieves a prediction accuracy of 99.38% on the LFW (Labeled Faces in the Wild) benchmark for face recognition.
-
-The size of the quantized model is roughly 6.2 MB (**face_recognition_model**).
-
-
-
-## Face Expression Recognition Model
-
-The face expression recognition model is lightweight, fast and provides reasonable accuracy. The model has a size of roughly 310kb and it employs depthwise separable convolutions and densely connected blocks. It has been trained on a variety of images from publicly available datasets as well as images scraped from the web. Note, that wearing glasses might decrease the accuracy of the prediction results.
-
-
-
-# Getting Started
-
-
+
-## face-api.js for the Browser
+# face-api.js for the Browser
Simply include the latest script from [dist/face-api.js](https://github.com/justadudewhohacks/face-api.js/tree/master/dist).
@@ -188,9 +109,9 @@ Or install it via npm:
npm i face-api.js
```
-
+
-## face-api.js for Nodejs
+# face-api.js for Nodejs
We can use the equivalent API in a nodejs environment by polyfilling some browser specifics, such as HTMLImageElement, HTMLCanvasElement and ImageData. The easiest way to do so is by installing the node-canvas package.
@@ -215,43 +136,43 @@ import * as canvas from 'canvas';
import * as faceapi from 'face-api.js';
// patch nodejs environment, we need to provide an implementation of
-// HTMLCanvasElement and HTMLImageElement, additionally an implementation
-// of ImageData is required, in case you want to use the MTCNN
+// HTMLCanvasElement and HTMLImageElement
const { Canvas, Image, ImageData } = canvas
faceapi.env.monkeyPatch({ Canvas, Image, ImageData })
```
-# Usage
-
-
-
-## Loading the Models
+
-To load a model, you have provide the corresponding manifest.json file as well as the model weight files (shards) as assets. Simply copy them to your public or assets folder. The manifest.json and shard files of a model have to be located in the same directory / accessible under the same route.
+# Getting Started
-Assuming the models reside in **public/models**:
+
-``` javascript
-await faceapi.loadSsdMobilenetv1Model('/models')
-// accordingly for the other models:
-// await faceapi.loadTinyFaceDetectorModel('/models')
-// await faceapi.loadMtcnnModel('/models')
-// await faceapi.loadFaceLandmarkModel('/models')
-// await faceapi.loadFaceLandmarkTinyModel('/models')
-// await faceapi.loadFaceRecognitionModel('/models')
-// await faceapi.loadFaceExpressionModel('/models')
-```
+## Loading the Models
All global neural network instances are exported via faceapi.nets:
``` javascript
console.log(faceapi.nets)
+// ageGenderNet
+// faceExpressionNet
+// faceLandmark68Net
+// faceLandmark68TinyNet
+// faceRecognitionNet
+// ssdMobilenetv1
+// tinyFaceDetector
+// tinyYolov2
```
-The following is equivalent to `await faceapi.loadSsdMobilenetv1Model('/models')`:
+To load a model, you have to provide the corresponding manifest.json file as well as the model weight files (shards) as assets. Simply copy them to your public or assets folder. The manifest.json and shard files of a model have to be located in the same directory / accessible under the same route.
+
+Assuming the models reside in **public/models**:
``` javascript
await faceapi.nets.ssdMobilenetv1.loadFromUri('/models')
+// accordingly for the other models:
+// await faceapi.nets.faceLandmark68Net.loadFromUri('/models')
+// await faceapi.nets.faceRecognitionNet.loadFromUri('/models')
+// ...
```
In a nodejs environment you can furthermore load the models directly from disk:
@@ -270,7 +191,7 @@ Alternatively, you can also create own instances of the neural nets:
``` javascript
const net = new faceapi.SsdMobilenetv1()
-await net.load('/models')
+await net.loadFromUri('/models')
```
You can also load the weights as a Float32Array (in case you want to use the uncompressed models):
@@ -285,6 +206,8 @@ const weights = new Float32Array(res.data)
net.load(weights)
```
+
+
## High Level API
In the following **input** can be an HTML img, video or canvas element or the id of that element.
@@ -322,22 +245,21 @@ By default **detectAllFaces** and **detectSingleFace** utilize the SSD Mobilenet
``` javascript
const detections1 = await faceapi.detectAllFaces(input, new faceapi.SsdMobilenetv1Options())
const detections2 = await faceapi.detectAllFaces(input, new faceapi.TinyFaceDetectorOptions())
-const detections3 = await faceapi.detectAllFaces(input, new faceapi.MtcnnOptions())
```
-You can tune the options of each face detector as shown [here](#usage-face-detection-options).
+You can tune the options of each face detector as shown [here](#getting-started-face-detection-options).
### Detecting 68 Face Landmark Points
**After face detection, we can furthermore predict the facial landmarks for each detected face as follows:**
-Detect all faces in an image + computes 68 Point Face Landmarks for each detected face. Returns **Array<[WithFaceLandmarks>](#usage-utility-classes)>**:
+Detect all faces in an image + computes 68 Point Face Landmarks for each detected face. Returns **Array<[WithFaceLandmarks>](#getting-started-utility-classes)>**:
``` javascript
const detectionsWithLandmarks = await faceapi.detectAllFaces(input).withFaceLandmarks()
```
-Detect the face with the highest confidence score in an image + computes 68 Point Face Landmarks for that face. Returns **[WithFaceLandmarks>](#usage-utility-classes) | undefined**:
+Detect the face with the highest confidence score in an image + computes 68 Point Face Landmarks for that face. Returns **[WithFaceLandmarks>](#getting-started-utility-classes) | undefined**:
``` javascript
const detectionWithLandmarks = await faceapi.detectSingleFace(input).withFaceLandmarks()
@@ -354,13 +276,13 @@ const detectionsWithLandmarks = await faceapi.detectAllFaces(input).withFaceLand
**After face detection and facial landmark prediction the face descriptors for each face can be computed as follows:**
-Detect all faces in an image + computes 68 Point Face Landmarks for each detected face. Returns **Array<[WithFaceDescriptor>>](#usage-utility-classes)>**:
+Detect all faces in an image + compute 68 Point Face Landmarks for each detected face. Returns **Array<[WithFaceDescriptor>>](#getting-started-utility-classes)>**:
``` javascript
const results = await faceapi.detectAllFaces(input).withFaceLandmarks().withFaceDescriptors()
```
-Detect the face with the highest confidence score in an image + computes 68 Point Face Landmarks and face descriptor for that face. Returns **[WithFaceDescriptor>>](#usage-utility-classes) | undefined**:
+Detect the face with the highest confidence score in an image + compute 68 Point Face Landmarks and face descriptor for that face. Returns **[WithFaceDescriptor>>](#getting-started-utility-classes) | undefined**:
``` javascript
const result = await faceapi.detectSingleFace(input).withFaceLandmarks().withFaceDescriptor()
@@ -370,18 +292,62 @@ const result = await faceapi.detectSingleFace(input).withFaceLandmarks().withFac
**Face expression recognition can be performed for detected faces as follows:**
-Detect all faces in an image + recognize face expressions. Returns **Array<[WithFaceExpressions>](#usage-utility-classes)>**:
+Detect all faces in an image + recognize face expressions of each face. Returns **Array<[WithFaceExpressions>>](#getting-started-utility-classes)>**:
+
+``` javascript
+const detectionsWithExpressions = await faceapi.detectAllFaces(input).withFaceLandmarks().withFaceExpressions()
+```
+
+Detect the face with the highest confidence score in an image + recognize the face expressions for that face. Returns **[WithFaceExpressions>>](#getting-started-utility-classes) | undefined**:
+
+``` javascript
+const detectionWithExpressions = await faceapi.detectSingleFace(input).withFaceLandmarks().withFaceExpressions()
+```
+
+**You can also skip .withFaceLandmarks(), which will skip the face alignment step (less stable accuracy):**
+
+Detect all faces without face alignment + recognize face expressions of each face. Returns **Array<[WithFaceExpressions>](#getting-started-utility-classes)>**:
``` javascript
const detectionsWithExpressions = await faceapi.detectAllFaces(input).withFaceExpressions()
```
-Detect the face with the highest confidence score in an image + recognize the face expression for that face. Returns **[WithFaceExpressions>](#usage-utility-classes) | undefined**:
+Detect the face with the highest confidence score without face alignment + recognize the face expression for that face. Returns **[WithFaceExpressions>](#getting-started-utility-classes) | undefined**:
``` javascript
const detectionWithExpressions = await faceapi.detectSingleFace(input).withFaceExpressions()
```
+### Age Estimation and Gender Recognition
+
+**Age estimation and gender recognition from detected faces can be done as follows:**
+
+Detect all faces in an image + estimate age and recognize gender of each face. Returns **Array<[WithAge>>>](#getting-started-utility-classes)>**:
+
+``` javascript
+const detectionsWithAgeAndGender = await faceapi.detectAllFaces(input).withFaceLandmarks().withAgeAndGender()
+```
+
+Detect the face with the highest confidence score in an image + estimate age and recognize gender for that face. Returns **[WithAge>>>](#getting-started-utility-classes) | undefined**:
+
+``` javascript
+const detectionWithAgeAndGender = await faceapi.detectSingleFace(input).withFaceLandmarks().withAgeAndGender()
+```
+
+**You can also skip .withFaceLandmarks(), which will skip the face alignment step (less stable accuracy):**
+
+Detect all faces without face alignment + estimate age and recognize gender of each face. Returns **Array<[WithAge>>](#getting-started-utility-classes)>**:
+
+``` javascript
+const detectionsWithAgeAndGender = await faceapi.detectAllFaces(input).withAgeAndGender()
+```
+
+Detect the face with the highest confidence score without face alignment + estimate age and recognize gender for that face. Returns **[WithAge>>](#getting-started-utility-classes) | undefined**:
+
+``` javascript
+const detectionWithAgeAndGender = await faceapi.detectSingleFace(input).withAgeAndGender()
+```
+
### Composition of Tasks
**Tasks can be composed as follows:**
@@ -391,22 +357,26 @@ const detectionWithExpressions = await faceapi.detectSingleFace(input).withFaceE
await faceapi.detectAllFaces(input)
await faceapi.detectAllFaces(input).withFaceExpressions()
await faceapi.detectAllFaces(input).withFaceLandmarks()
-await faceapi.detectAllFaces(input).withFaceExpressions().withFaceLandmarks()
-await faceapi.detectAllFaces(input).withFaceExpressions().withFaceLandmarks().withFaceDescriptors()
+await faceapi.detectAllFaces(input).withFaceLandmarks().withFaceExpressions()
+await faceapi.detectAllFaces(input).withFaceLandmarks().withFaceExpressions().withFaceDescriptors()
+await faceapi.detectAllFaces(input).withFaceLandmarks().withAgeAndGender().withFaceDescriptors()
+await faceapi.detectAllFaces(input).withFaceLandmarks().withFaceExpressions().withAgeAndGender().withFaceDescriptors()
// single face
await faceapi.detectSingleFace(input)
await faceapi.detectSingleFace(input).withFaceExpressions()
await faceapi.detectSingleFace(input).withFaceLandmarks()
-await faceapi.detectSingleFace(input).withFaceExpressions().withFaceLandmarks()
-await faceapi.detectSingleFace(input).withFaceExpressions().withFaceLandmarks().withFaceDescriptor()
+await faceapi.detectSingleFace(input).withFaceLandmarks().withFaceExpressions()
+await faceapi.detectSingleFace(input).withFaceLandmarks().withFaceExpressions().withFaceDescriptor()
+await faceapi.detectSingleFace(input).withFaceLandmarks().withAgeAndGender().withFaceDescriptor()
+await faceapi.detectSingleFace(input).withFaceLandmarks().withFaceExpressions().withAgeAndGender().withFaceDescriptor()
```
### Face Recognition by Matching Descriptors
To perform face recognition, one can use faceapi.FaceMatcher to compare reference face descriptors to query face descriptors.
-First, we initialize the FaceMatcher with the reference data, for example we can simply detect faces in a **referenceImage** and match the descriptors of the detected faces to faces of subsquent images:
+First, we initialize the FaceMatcher with the reference data, for example we can simply detect faces in a **referenceImage** and match the descriptors of the detected faces to faces of subsequent images:
``` javascript
const results = await faceapi
@@ -468,53 +438,117 @@ const labeledDescriptors = [
const faceMatcher = new faceapi.FaceMatcher(labeledDescriptors)
```
-
+
## Displaying Detection Results
-Drawing the detected faces into a canvas:
+Preparing the overlay canvas:
``` javascript
-const detections = await faceapi.detectAllFaces(input)
-
-// resize the detected boxes in case your displayed image has a different size then the original
-const detectionsForSize = faceapi.resizeResults(detections, { width: input.width, height: input.height })
-// draw them into a canvas
+const displaySize = { width: input.width, height: input.height }
+// resize the overlay canvas to the input dimensions
const canvas = document.getElementById('overlay')
-canvas.width = input.width
-canvas.height = input.height
-faceapi.drawDetection(canvas, detectionsForSize, { withScore: true })
+faceapi.matchDimensions(canvas, displaySize)
```
-Drawing face landmarks into a canvas:
+face-api.js predefines some highlevel drawing functions, which you can utilize:
``` javascript
+/* Display detected face bounding boxes */
+const detections = await faceapi.detectAllFaces(input)
+// resize the detected boxes in case your displayed image has a different size than the original
+const resizedDetections = faceapi.resizeResults(detections, displaySize)
+// draw detections into the canvas
+faceapi.draw.drawDetections(canvas, resizedDetections)
+
+/* Display face landmarks */
const detectionsWithLandmarks = await faceapi
.detectAllFaces(input)
.withFaceLandmarks()
+// resize the detected boxes and landmarks in case your displayed image has a different size than the original
+const resizedResults = faceapi.resizeResults(detectionsWithLandmarks, displaySize)
+// draw detections into the canvas
+faceapi.draw.drawDetections(canvas, resizedResults)
+// draw the landmarks into the canvas
+faceapi.draw.drawFaceLandmarks(canvas, resizedResults)
-// resize the detected boxes and landmarks in case your displayed image has a different size then the original
-const detectionsWithLandmarksForSize = faceapi.resizeResults(detectionsWithLandmarks, { width: input.width, height: input.height })
-// draw them into a canvas
-const canvas = document.getElementById('overlay')
-canvas.width = input.width
-canvas.height = input.height
-faceapi.drawLandmarks(canvas, detectionsWithLandmarks, { drawLines: true })
+
+/* Display face expression results */
+const detectionsWithExpressions = await faceapi
+ .detectAllFaces(input)
+ .withFaceLandmarks()
+ .withFaceExpressions()
+// resize the detected boxes and landmarks in case your displayed image has a different size than the original
+const resizedResults = faceapi.resizeResults(detectionsWithExpressions, displaySize)
+// draw detections into the canvas
+faceapi.draw.drawDetections(canvas, resizedResults)
+// draw a textbox displaying the face expressions with minimum probability into the canvas
+const minProbability = 0.05
+faceapi.draw.drawFaceExpressions(canvas, resizedResults, minProbability)
+```
+
+You can also draw boxes with custom text ([DrawBox](https://github.com/justadudewhohacks/tfjs-image-recognition-base/blob/master/src/draw/DrawBox.ts)):
+
+``` javascript
+const box = { x: 50, y: 50, width: 100, height: 100 }
+// see DrawBoxOptions below
+const drawOptions = {
+ label: 'Hello I am a box!',
+ lineWidth: 2
+}
+const drawBox = new faceapi.draw.DrawBox(box, drawOptions)
+drawBox.draw(document.getElementById('myCanvas'))
+```
+
+DrawBox drawing options:
+
+``` javascript
+export interface IDrawBoxOptions {
+ boxColor?: string
+ lineWidth?: number
+ drawLabelOptions?: IDrawTextFieldOptions
+ label?: string
+}
```
-Finally you can also draw boxes with custom text:
+Finally you can draw custom text fields ([DrawTextField](https://github.com/justadudewhohacks/tfjs-image-recognition-base/blob/master/src/draw/DrawTextField.ts)):
``` javascript
-const boxesWithText = [
- new faceapi.BoxWithText(new faceapi.Rect(x, y, width, height), text))
- new faceapi.BoxWithText(new faceapi.Rect(0, 0, 50, 50), 'some text'))
+const text = [
+ 'This is a textline!',
+ 'This is another textline!'
]
+const anchor = { x: 200, y: 200 }
+// see DrawTextField below
+const drawOptions = {
+ anchorPosition: 'TOP_LEFT',
+ backgroundColor: 'rgba(0, 0, 0, 0.5)'
+}
+const drawBox = new faceapi.draw.DrawTextField(text, anchor, drawOptions)
+drawBox.draw(document.getElementById('myCanvas'))
+```
-const canvas = document.getElementById('overlay')
-faceapi.drawDetection(canvas, boxesWithText)
+DrawTextField drawing options:
+
+``` javascript
+export interface IDrawTextFieldOptions {
+ anchorPosition?: AnchorPosition
+ backgroundColor?: string
+ fontColor?: string
+ fontSize?: number
+ fontStyle?: string
+ padding?: number
+}
+
+export enum AnchorPosition {
+ TOP_LEFT = 'TOP_LEFT',
+ TOP_RIGHT = 'TOP_RIGHT',
+ BOTTOM_LEFT = 'BOTTOM_LEFT',
+ BOTTOM_RIGHT = 'BOTTOM_RIGHT'
+}
```
-
+
## Face Detection Options
@@ -556,41 +590,7 @@ export interface ITinyFaceDetectorOptions {
const options = new faceapi.TinyFaceDetectorOptions({ inputSize: 320 })
```
-### MtcnnOptions
-
-``` javascript
-export interface IMtcnnOptions {
- // minimum face size to expect, the higher the faster processing will be,
- // but smaller faces won't be detected
- // default: 20
- minFaceSize?: number
-
- // the score threshold values used to filter the bounding
- // boxes of stage 1, 2 and 3
- // default: [0.6, 0.7, 0.7]
- scoreThresholds?: number[]
-
- // scale factor used to calculate the scale steps of the image
- // pyramid used in stage 1
- // default: 0.709
- scaleFactor?: number
-
- // number of scaled versions of the input image passed through the CNN
- // of the first stage, lower numbers will result in lower inference time,
- // but will also be less accurate
- // default: 10
- maxNumScales?: number
-
- // instead of specifying scaleFactor and maxNumScales you can also
- // set the scaleSteps manually
- scaleSteps?: number[]
-}
-
-// example
-const options = new faceapi.MtcnnOptions({ minFaceSize: 100, scaleFactor: 0.8 })
-```
-
-
+
## Utility Classes
@@ -605,8 +605,6 @@ export interface IBox {
}
```
-
-
### IFaceDetection
``` javascript
@@ -616,8 +614,6 @@ export interface IFaceDetection {
}
```
-
-
### IFaceLandmarks
``` javascript
@@ -627,56 +623,63 @@ export interface IFaceLandmarks {
}
```
-
-
### WithFaceDetection
``` javascript
-export type WithFaceDetection TSource & {
+export type WithFaceDetection = TSource & {
detection: FaceDetection
}
```
-
-
### WithFaceLandmarks
``` javascript
-export type WithFaceLandmarks TSource & {
+export type WithFaceLandmarks = TSource & {
unshiftedLandmarks: FaceLandmarks
landmarks: FaceLandmarks
alignedRect: FaceDetection
}
```
-
-
### WithFaceDescriptor
``` javascript
-export type WithFaceDescriptor TSource & {
+export type WithFaceDescriptor = TSource & {
descriptor: Float32Array
}
```
-
-
### WithFaceExpressions
``` javascript
-export type FaceExpression = 'neutral' | 'happy' | 'sad' | 'angry' | 'fearful' | 'disgusted' | 'surprised'
+export type WithFaceExpressions = TSource & {
+ expressions: FaceExpressions
+}
+```
+
+### WithAge
+
+``` javascript
+export type WithAge = TSource & {
+ age: number
+}
+```
+
+### WithGender
-export type FaceExpressionPrediction = {
- expression: FaceExpression,
- probability: number
+``` javascript
+export type WithGender = TSource & {
+ gender: Gender
+ genderProbability: number
}
-export type WithFaceExpressions TSource & {
- expressions: FaceExpressionPrediction[]
+export enum Gender {
+ FEMALE = 'female',
+ MALE = 'male'
}
```
-
+
## Other Useful Utility
@@ -687,7 +690,6 @@ Instead of using the high level API, you can directly use the forward methods of
``` javascript
const detections1 = await faceapi.ssdMobilenetv1(input, options)
const detections2 = await faceapi.tinyFaceDetector(input, options)
-const detections3 = await faceapi.mtcnn(input, options)
const landmarks1 = await faceapi.detectFaceLandmarks(faceImage)
const landmarks2 = await faceapi.detectFaceLandmarksTiny(faceImage)
const descriptor = await faceapi.computeFaceDescriptor(alignedFaceImage)
@@ -777,3 +779,77 @@ async function uploadImage() {
const canvas1 = faceapi.createCanvasFromMedia(document.getElementById('myImg'))
const canvas2 = faceapi.createCanvasFromMedia(document.getElementById('myVideo'))
```
+
+
+
+# Available Models
+
+
+
+## Face Detection Models
+
+### SSD Mobilenet V1
+
+For face detection, this project implements a SSD (Single Shot Multibox Detector) based on MobileNetV1. The neural net will compute the locations of each face in an image and will return the bounding boxes together with it's probability for each face. This face detector is aiming towards obtaining high accuracy in detecting face bounding boxes instead of low inference time. The size of the quantized model is about 5.4 MB (**ssd_mobilenetv1_model**).
+
+The face detection model has been trained on the [WIDERFACE dataset](http://mmlab.ie.cuhk.edu.hk/projects/WIDERFace/) and the weights are provided by [yeephycho](https://github.com/yeephycho) in [this](https://github.com/yeephycho/tensorflow-face-detection) repo.
+
+### Tiny Face Detector
+
+The Tiny Face Detector is a very performant, realtime face detector, which is much faster, smaller and less resource consuming compared to the SSD Mobilenet V1 face detector, in return it performs slightly less well on detecting small faces. This model is extremely mobile and web friendly, thus it should be your GO-TO face detector on mobile devices and resource limited clients. The size of the quantized model is only 190 KB (**tiny_face_detector_model**).
+
+The face detector has been trained on a custom dataset of ~14K images labeled with bounding boxes. Furthermore the model has been trained to predict bounding boxes, which entirely cover facial feature points, thus it in general produces better results in combination with subsequent face landmark detection than SSD Mobilenet V1.
+
+This model is basically an even tinier version of Tiny Yolo V2, replacing the regular convolutions of Yolo with depthwise separable convolutions. Yolo is fully convolutional, thus can easily adapt to different input image sizes to trade off accuracy for performance (inference time).
+
+
+
+## 68 Point Face Landmark Detection Models
+
+This package implements a very lightweight and fast, yet accurate 68 point face landmark detector. The default model has a size of only 350kb (**face_landmark_68_model**) and the tiny model is only 80kb (**face_landmark_68_tiny_model**). Both models employ the ideas of depthwise separable convolutions as well as densely connected blocks. The models have been trained on a dataset of ~35k face images labeled with 68 face landmark points.
+
+
+
+## Face Recognition Model
+
+For face recognition, a ResNet-34 like architecture is implemented to compute a face descriptor (a feature vector with 128 values) from any given face image, which is used to describe the characteristics of a persons face. The model is **not** limited to the set of faces used for training, meaning you can use it for face recognition of any person, for example yourself. You can determine the similarity of two arbitrary faces by comparing their face descriptors, for example by computing the euclidean distance or using any other classifier of your choice.
+
+The neural net is equivalent to the **FaceRecognizerNet** used in [face-recognition.js](https://github.com/justadudewhohacks/face-recognition.js) and the net used in the [dlib](https://github.com/davisking/dlib/blob/master/examples/dnn_face_recognition_ex.cpp) face recognition example. The weights have been trained by [davisking](https://github.com/davisking) and the model achieves a prediction accuracy of 99.38% on the LFW (Labeled Faces in the Wild) benchmark for face recognition.
+
+The size of the quantized model is roughly 6.2 MB (**face_recognition_model**).
+
+
+
+## Face Expression Recognition Model
+
+The face expression recognition model is lightweight, fast and provides reasonable accuracy. The model has a size of roughly 310kb and it employs depthwise separable convolutions and densely connected blocks. It has been trained on a variety of images from publicly available datasets as well as images scraped from the web. Note, that wearing glasses might decrease the accuracy of the prediction results.
+
+
+
+## Age and Gender Recognition Model
+
+The age and gender recognition model is a multitask network, which employs a feature extraction layer, an age regression layer and a gender classifier. The model has a size of roughly 420kb and the feature extractor employs a tinier but very similar architecture to Xception.
+
+This model has been trained and tested on the following databases with an 80/20 train/test split each: UTK, FGNET, Chalearn, Wiki, IMDB*, CACD*, MegaAge, MegaAge-Asian. The `*` indicates, that these databases have been algorithmically cleaned up, since the initial databases are very noisy.
+
+### Total Test Results
+
+Total MAE (Mean Age Error): **4.54**
+
+Total Gender Accuracy: **95%**
+
+### Test results for each database
+
+The `-` indicates, that there are no gender labels available for these databases.
+
+Database | UTK | FGNET | Chalearn | Wiki | IMDB* | CACD* | MegaAge | MegaAge-Asian |
+----------------|-------:|------:|---------:|-----:|------:|------:|--------:|--------------:|
+MAE | 5.25 | 4.23 | 6.24 | 6.54 | 3.63 | 3.20 | 6.23 | 4.21 |
+Gender Accuracy | 0.93 | - | 0.94 | 0.95 | - | 0.97 | - | - |
+
+### Test results for different age category groups
+
+Age Range | 0 - 3 | 4 - 8 | 9 - 18 | 19 - 28 | 29 - 40 | 41 - 60 | 60 - 80 | 80+ |
+----------------|-------:|------:|-------:|--------:|--------:|--------:|--------:|--------:|
+MAE | 1.52 | 3.06 | 4.82 | 4.99 | 5.43 | 4.94 | 6.17 | 9.91 |
+Gender Accuracy | 0.69 | 0.80 | 0.88 | 0.96 | 0.97 | 0.97 | 0.96 | 0.9 |
diff --git a/build/commonjs/classes/FaceDetection.d.ts b/build/commonjs/classes/FaceDetection.d.ts
deleted file mode 100644
index 0fed6f3f..00000000
--- a/build/commonjs/classes/FaceDetection.d.ts
+++ /dev/null
@@ -1,9 +0,0 @@
-import { Box, IDimensions, ObjectDetection, Rect } from 'tfjs-image-recognition-base';
-export interface IFaceDetecion {
- score: number;
- box: Box;
-}
-export declare class FaceDetection extends ObjectDetection implements IFaceDetecion {
- constructor(score: number, relativeBox: Rect, imageDims: IDimensions);
- forSize(width: number, height: number): FaceDetection;
-}
diff --git a/build/commonjs/classes/FaceDetection.js b/build/commonjs/classes/FaceDetection.js
deleted file mode 100644
index 100615a3..00000000
--- a/build/commonjs/classes/FaceDetection.js
+++ /dev/null
@@ -1,16 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-var FaceDetection = /** @class */ (function (_super) {
- tslib_1.__extends(FaceDetection, _super);
- function FaceDetection(score, relativeBox, imageDims) {
- return _super.call(this, score, score, '', relativeBox, imageDims) || this;
- }
- FaceDetection.prototype.forSize = function (width, height) {
- return _super.prototype.forSize.call(this, width, height);
- };
- return FaceDetection;
-}(tfjs_image_recognition_base_1.ObjectDetection));
-exports.FaceDetection = FaceDetection;
-//# sourceMappingURL=FaceDetection.js.map
\ No newline at end of file
diff --git a/build/commonjs/classes/FaceDetection.js.map b/build/commonjs/classes/FaceDetection.js.map
deleted file mode 100644
index 168a0f88..00000000
--- a/build/commonjs/classes/FaceDetection.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"FaceDetection.js","sourceRoot":"","sources":["../../../src/classes/FaceDetection.ts"],"names":[],"mappings":";;;AAAA,2EAAsF;AAOtF;IAAmC,yCAAe;IAChD,uBACE,KAAa,EACb,WAAiB,EACjB,SAAsB;eAEtB,kBAAM,KAAK,EAAE,KAAK,EAAE,EAAE,EAAE,WAAW,EAAE,SAAS,CAAC;IACjD,CAAC;IAEM,+BAAO,GAAd,UAAe,KAAa,EAAE,MAAc;QAC1C,OAAO,iBAAM,OAAO,YAAC,KAAK,EAAE,MAAM,CAAC,CAAA;IACrC,CAAC;IACH,oBAAC;AAAD,CAAC,AAZD,CAAmC,6CAAe,GAYjD;AAZY,sCAAa"}
\ No newline at end of file
diff --git a/build/commonjs/classes/FaceLandmarks.d.ts b/build/commonjs/classes/FaceLandmarks.d.ts
deleted file mode 100644
index 48ea7c81..00000000
--- a/build/commonjs/classes/FaceLandmarks.d.ts
+++ /dev/null
@@ -1,33 +0,0 @@
-import { Dimensions, IDimensions, Point, Rect } from 'tfjs-image-recognition-base';
-import { FaceDetection } from './FaceDetection';
-export interface IFaceLandmarks {
- positions: Point[];
- shift: Point;
-}
-export declare class FaceLandmarks implements IFaceLandmarks {
- protected _shift: Point;
- protected _positions: Point[];
- protected _imgDims: Dimensions;
- constructor(relativeFaceLandmarkPositions: Point[], imgDims: IDimensions, shift?: Point);
- readonly shift: Point;
- readonly imageWidth: number;
- readonly imageHeight: number;
- readonly positions: Point[];
- readonly relativePositions: Point[];
- forSize(width: number, height: number): T;
- shiftBy(x: number, y: number): T;
- shiftByPoint(pt: Point): T;
- /**
- * Aligns the face landmarks after face detection from the relative positions of the faces
- * bounding box, or it's current shift. This function should be used to align the face images
- * after face detection has been performed, before they are passed to the face recognition net.
- * This will make the computed face descriptor more accurate.
- *
- * @param detection (optional) The bounding box of the face or the face detection result. If
- * no argument was passed the position of the face landmarks are assumed to be relative to
- * it's current shift.
- * @returns The bounding box of the aligned face.
- */
- align(detection?: FaceDetection | Rect): Rect;
- protected getRefPointsForAlignment(): Point[];
-}
diff --git a/build/commonjs/classes/FaceLandmarks.js b/build/commonjs/classes/FaceLandmarks.js
deleted file mode 100644
index 0b1ffa1e..00000000
--- a/build/commonjs/classes/FaceLandmarks.js
+++ /dev/null
@@ -1,89 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-var FaceDetection_1 = require("./FaceDetection");
-// face alignment constants
-var relX = 0.5;
-var relY = 0.43;
-var relScale = 0.45;
-var FaceLandmarks = /** @class */ (function () {
- function FaceLandmarks(relativeFaceLandmarkPositions, imgDims, shift) {
- if (shift === void 0) { shift = new tfjs_image_recognition_base_1.Point(0, 0); }
- var width = imgDims.width, height = imgDims.height;
- this._imgDims = new tfjs_image_recognition_base_1.Dimensions(width, height);
- this._shift = shift;
- this._positions = relativeFaceLandmarkPositions.map(function (pt) { return pt.mul(new tfjs_image_recognition_base_1.Point(width, height)).add(shift); });
- }
- Object.defineProperty(FaceLandmarks.prototype, "shift", {
- get: function () { return new tfjs_image_recognition_base_1.Point(this._shift.x, this._shift.y); },
- enumerable: true,
- configurable: true
- });
- Object.defineProperty(FaceLandmarks.prototype, "imageWidth", {
- get: function () { return this._imgDims.width; },
- enumerable: true,
- configurable: true
- });
- Object.defineProperty(FaceLandmarks.prototype, "imageHeight", {
- get: function () { return this._imgDims.height; },
- enumerable: true,
- configurable: true
- });
- Object.defineProperty(FaceLandmarks.prototype, "positions", {
- get: function () { return this._positions; },
- enumerable: true,
- configurable: true
- });
- Object.defineProperty(FaceLandmarks.prototype, "relativePositions", {
- get: function () {
- var _this = this;
- return this._positions.map(function (pt) { return pt.sub(_this._shift).div(new tfjs_image_recognition_base_1.Point(_this.imageWidth, _this.imageHeight)); });
- },
- enumerable: true,
- configurable: true
- });
- FaceLandmarks.prototype.forSize = function (width, height) {
- return new this.constructor(this.relativePositions, { width: width, height: height });
- };
- FaceLandmarks.prototype.shiftBy = function (x, y) {
- return new this.constructor(this.relativePositions, this._imgDims, new tfjs_image_recognition_base_1.Point(x, y));
- };
- FaceLandmarks.prototype.shiftByPoint = function (pt) {
- return this.shiftBy(pt.x, pt.y);
- };
- /**
- * Aligns the face landmarks after face detection from the relative positions of the faces
- * bounding box, or it's current shift. This function should be used to align the face images
- * after face detection has been performed, before they are passed to the face recognition net.
- * This will make the computed face descriptor more accurate.
- *
- * @param detection (optional) The bounding box of the face or the face detection result. If
- * no argument was passed the position of the face landmarks are assumed to be relative to
- * it's current shift.
- * @returns The bounding box of the aligned face.
- */
- FaceLandmarks.prototype.align = function (detection) {
- if (detection) {
- var box = detection instanceof FaceDetection_1.FaceDetection
- ? detection.box.floor()
- : detection;
- return this.shiftBy(box.x, box.y).align();
- }
- var centers = this.getRefPointsForAlignment();
- var leftEyeCenter = centers[0], rightEyeCenter = centers[1], mouthCenter = centers[2];
- var distToMouth = function (pt) { return mouthCenter.sub(pt).magnitude(); };
- var eyeToMouthDist = (distToMouth(leftEyeCenter) + distToMouth(rightEyeCenter)) / 2;
- var size = Math.floor(eyeToMouthDist / relScale);
- var refPoint = tfjs_image_recognition_base_1.getCenterPoint(centers);
- // TODO: pad in case rectangle is out of image bounds
- var x = Math.floor(Math.max(0, refPoint.x - (relX * size)));
- var y = Math.floor(Math.max(0, refPoint.y - (relY * size)));
- return new tfjs_image_recognition_base_1.Rect(x, y, Math.min(size, this.imageWidth + x), Math.min(size, this.imageHeight + y));
- };
- FaceLandmarks.prototype.getRefPointsForAlignment = function () {
- throw new Error('getRefPointsForAlignment not implemented by base class');
- };
- return FaceLandmarks;
-}());
-exports.FaceLandmarks = FaceLandmarks;
-//# sourceMappingURL=FaceLandmarks.js.map
\ No newline at end of file
diff --git a/build/commonjs/classes/FaceLandmarks.js.map b/build/commonjs/classes/FaceLandmarks.js.map
deleted file mode 100644
index 1dd9f20f..00000000
--- a/build/commonjs/classes/FaceLandmarks.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"FaceLandmarks.js","sourceRoot":"","sources":["../../../src/classes/FaceLandmarks.ts"],"names":[],"mappings":";;AAAA,2EAAmG;AAEnG,iDAAgD;AAEhD,2BAA2B;AAC3B,IAAM,IAAI,GAAG,GAAG,CAAA;AAChB,IAAM,IAAI,GAAG,IAAI,CAAA;AACjB,IAAM,QAAQ,GAAG,IAAI,CAAA;AAOrB;IAKE,uBACE,6BAAsC,EACtC,OAAoB,EACpB,KAA8B;QAA9B,sBAAA,EAAA,YAAmB,mCAAK,CAAC,CAAC,EAAE,CAAC,CAAC;QAEtB,IAAA,qBAAK,EAAE,uBAAM,CAAY;QACjC,IAAI,CAAC,QAAQ,GAAG,IAAI,wCAAU,CAAC,KAAK,EAAE,MAAM,CAAC,CAAA;QAC7C,IAAI,CAAC,MAAM,GAAG,KAAK,CAAA;QACnB,IAAI,CAAC,UAAU,GAAG,6BAA6B,CAAC,GAAG,CACjD,UAAA,EAAE,IAAI,OAAA,EAAE,CAAC,GAAG,CAAC,IAAI,mCAAK,CAAC,KAAK,EAAE,MAAM,CAAC,CAAC,CAAC,GAAG,CAAC,KAAK,CAAC,EAA3C,CAA2C,CAClD,CAAA;IACH,CAAC;IAED,sBAAW,gCAAK;aAAhB,cAA4B,OAAO,IAAI,mCAAK,CAAC,IAAI,CAAC,MAAM,CAAC,CAAC,EAAE,IAAI,CAAC,MAAM,CAAC,CAAC,CAAC,CAAA,CAAC,CAAC;;;OAAA;IAC5E,sBAAW,qCAAU;aAArB,cAAkC,OAAO,IAAI,CAAC,QAAQ,CAAC,KAAK,CAAA,CAAC,CAAC;;;OAAA;IAC9D,sBAAW,sCAAW;aAAtB,cAAmC,OAAO,IAAI,CAAC,QAAQ,CAAC,MAAM,CAAA,CAAC,CAAC;;;OAAA;IAChE,sBAAW,oCAAS;aAApB,cAAkC,OAAO,IAAI,CAAC,UAAU,CAAA,CAAC,CAAC;;;OAAA;IAC1D,sBAAW,4CAAiB;aAA5B;YAAA,iBAIC;YAHC,OAAO,IAAI,CAAC,UAAU,CAAC,GAAG,CACxB,UAAA,EAAE,IAAI,OAAA,EAAE,CAAC,GAAG,CAAC,KAAI,CAAC,MAAM,CAAC,CAAC,GAAG,CAAC,IAAI,mCAAK,CAAC,KAAI,CAAC,UAAU,EAAE,KAAI,CAAC,WAAW,CAAC,CAAC,EAArE,CAAqE,CAC5E,CAAA;QACH,CAAC;;;OAAA;IAEM,+BAAO,GAAd,UAAwC,KAAa,EAAE,MAAc;QACnE,OAAO,IAAK,IAAI,CAAC,WAAmB,CAClC,IAAI,CAAC,iBAAiB,EACtB,EAAE,KAAK,OAAA,EAAE,MAAM,QAAA,EAAE,CAClB,CAAA;IACH,CAAC;IAEM,+BAAO,GAAd,UAAwC,CAAS,EAAE,CAAS;QAC1D,OAAO,IAAK,IAAI,CAAC,WAAmB,CAClC,IAAI,CAAC,iBAAiB,EACtB,IAAI,CAAC,QAAQ,EACb,IAAI,mCAAK,CAAC,CAAC,EAAE,CAAC,CAAC,CAChB,CAAA;IACH,CAAC;IAEM,oCAAY,GAAnB,UAA6C,EAAS;QACpD,OAAO,IAAI,CAAC,OAAO,CAAC,EAAE,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAA;IACjC,CAAC;IAED;;;;;;;;;;OAUG;IACI,6BAAK,GAAZ,UACE,SAAgC;QAEhC,IAAI,SAAS,EAAE;YACb,IAAM,GAAG,GAAG,SAAS,YAAY,6BAAa;gBAC5C,CAAC,CAAC,SAAS,CAAC,GAAG,CAAC,KAAK,EAAE;gBACvB,CAAC,CAAC,SAAS,CAAA;YAEb,OAAO,IAAI,CAAC,OAAO,CAAC,GAAG,CAAC,CAAC,EAAE,GAAG,CAAC,CAAC,CAAC,CAAC,KAAK,EAAE,CAAA;SAC1C;QAED,IAAM,OAAO,GAAG,IAAI,CAAC,wBAAwB,EAAE,CAAA;QAExC,IAAA,0BAAa,EAAE,2BAAc,EAAE,wBAAW,CAAW;QAC5D,IAAM,WAAW,GAAG,UAAC,EAAS,IAAK,OAAA,WAAW,CAAC,GAAG,CAAC,EAAE,CAAC,CAAC,SAAS,EAAE,EAA/B,CAA+B,CAAA;QAClE,IAAM,cAAc,GAAG,CAAC,WAAW,CAAC,aAAa,CAAC,GAAG,WAAW,CAAC,cAAc,CAAC,CAAC,GAAG,CAAC,CAAA;QAErF,IAAM,IAAI,GAAG,IAAI,CAAC,KAAK,CAAC,cAAc,GAAG,QAAQ,CAAC,CAAA;QAElD,IAAM,QAAQ,GAAG,4CAAc,CAAC,OAAO,CAAC,CAAA;QACxC,qDAAqD;QACrD,IAAM,CAAC,GAAG,IAAI,CAAC,KAAK,CAAC,IAAI,CAAC,GAAG,CAAC,CAAC,EAAE,QAAQ,CAAC,CAAC,GAAG,CAAC,IAAI,GAAG,IAAI,CAAC,CAAC,CAAC,CAAA;QAC7D,IAAM,CAAC,GAAG,IAAI,CAAC,KAAK,CAAC,IAAI,CAAC,GAAG,CAAC,CAAC,EAAE,QAAQ,CAAC,CAAC,GAAG,CAAC,IAAI,GAAG,IAAI,CAAC,CAAC,CAAC,CAAA;QAE7D,OAAO,IAAI,kCAAI,CAAC,CAAC,EAAE,CAAC,EAAE,IAAI,CAAC,GAAG,CAAC,IAAI,EAAE,IAAI,CAAC,UAAU,GAAG,CAAC,CAAC,EAAE,IAAI,CAAC,GAAG,CAAC,IAAI,EAAE,IAAI,CAAC,WAAW,GAAG,CAAC,CAAC,CAAC,CAAA;IAClG,CAAC;IAES,gDAAwB,GAAlC;QACE,MAAM,IAAI,KAAK,CAAC,wDAAwD,CAAC,CAAA;IAC3E,CAAC;IACH,oBAAC;AAAD,CAAC,AAxFD,IAwFC;AAxFY,sCAAa"}
\ No newline at end of file
diff --git a/build/commonjs/classes/FaceLandmarks5.d.ts b/build/commonjs/classes/FaceLandmarks5.d.ts
deleted file mode 100644
index 554ce2f1..00000000
--- a/build/commonjs/classes/FaceLandmarks5.d.ts
+++ /dev/null
@@ -1,5 +0,0 @@
-import { Point } from 'tfjs-image-recognition-base';
-import { FaceLandmarks } from './FaceLandmarks';
-export declare class FaceLandmarks5 extends FaceLandmarks {
- protected getRefPointsForAlignment(): Point[];
-}
diff --git a/build/commonjs/classes/FaceLandmarks5.js b/build/commonjs/classes/FaceLandmarks5.js
deleted file mode 100644
index c62a0991..00000000
--- a/build/commonjs/classes/FaceLandmarks5.js
+++ /dev/null
@@ -1,22 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-var FaceLandmarks_1 = require("./FaceLandmarks");
-var FaceLandmarks5 = /** @class */ (function (_super) {
- tslib_1.__extends(FaceLandmarks5, _super);
- function FaceLandmarks5() {
- return _super !== null && _super.apply(this, arguments) || this;
- }
- FaceLandmarks5.prototype.getRefPointsForAlignment = function () {
- var pts = this.positions;
- return [
- pts[0],
- pts[1],
- tfjs_image_recognition_base_1.getCenterPoint([pts[3], pts[4]])
- ];
- };
- return FaceLandmarks5;
-}(FaceLandmarks_1.FaceLandmarks));
-exports.FaceLandmarks5 = FaceLandmarks5;
-//# sourceMappingURL=FaceLandmarks5.js.map
\ No newline at end of file
diff --git a/build/commonjs/classes/FaceLandmarks5.js.map b/build/commonjs/classes/FaceLandmarks5.js.map
deleted file mode 100644
index a4303925..00000000
--- a/build/commonjs/classes/FaceLandmarks5.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"FaceLandmarks5.js","sourceRoot":"","sources":["../../../src/classes/FaceLandmarks5.ts"],"names":[],"mappings":";;;AAAA,2EAAoE;AAEpE,iDAAgD;AAEhD;IAAoC,0CAAa;IAAjD;;IAUA,CAAC;IARW,iDAAwB,GAAlC;QACE,IAAM,GAAG,GAAG,IAAI,CAAC,SAAS,CAAA;QAC1B,OAAO;YACL,GAAG,CAAC,CAAC,CAAC;YACN,GAAG,CAAC,CAAC,CAAC;YACN,4CAAc,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,EAAE,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC;SACjC,CAAA;IACH,CAAC;IACH,qBAAC;AAAD,CAAC,AAVD,CAAoC,6BAAa,GAUhD;AAVY,wCAAc"}
\ No newline at end of file
diff --git a/build/commonjs/classes/FaceLandmarks68.d.ts b/build/commonjs/classes/FaceLandmarks68.d.ts
deleted file mode 100644
index 5ac3974e..00000000
--- a/build/commonjs/classes/FaceLandmarks68.d.ts
+++ /dev/null
@@ -1,12 +0,0 @@
-import { Point } from 'tfjs-image-recognition-base';
-import { FaceLandmarks } from '../classes/FaceLandmarks';
-export declare class FaceLandmarks68 extends FaceLandmarks {
- getJawOutline(): Point[];
- getLeftEyeBrow(): Point[];
- getRightEyeBrow(): Point[];
- getNose(): Point[];
- getLeftEye(): Point[];
- getRightEye(): Point[];
- getMouth(): Point[];
- protected getRefPointsForAlignment(): Point[];
-}
diff --git a/build/commonjs/classes/FaceLandmarks68.js b/build/commonjs/classes/FaceLandmarks68.js
deleted file mode 100644
index 8128068c..00000000
--- a/build/commonjs/classes/FaceLandmarks68.js
+++ /dev/null
@@ -1,42 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-var FaceLandmarks_1 = require("../classes/FaceLandmarks");
-var FaceLandmarks68 = /** @class */ (function (_super) {
- tslib_1.__extends(FaceLandmarks68, _super);
- function FaceLandmarks68() {
- return _super !== null && _super.apply(this, arguments) || this;
- }
- FaceLandmarks68.prototype.getJawOutline = function () {
- return this.positions.slice(0, 17);
- };
- FaceLandmarks68.prototype.getLeftEyeBrow = function () {
- return this.positions.slice(17, 22);
- };
- FaceLandmarks68.prototype.getRightEyeBrow = function () {
- return this.positions.slice(22, 27);
- };
- FaceLandmarks68.prototype.getNose = function () {
- return this.positions.slice(27, 36);
- };
- FaceLandmarks68.prototype.getLeftEye = function () {
- return this.positions.slice(36, 42);
- };
- FaceLandmarks68.prototype.getRightEye = function () {
- return this.positions.slice(42, 48);
- };
- FaceLandmarks68.prototype.getMouth = function () {
- return this.positions.slice(48, 68);
- };
- FaceLandmarks68.prototype.getRefPointsForAlignment = function () {
- return [
- this.getLeftEye(),
- this.getRightEye(),
- this.getMouth()
- ].map(tfjs_image_recognition_base_1.getCenterPoint);
- };
- return FaceLandmarks68;
-}(FaceLandmarks_1.FaceLandmarks));
-exports.FaceLandmarks68 = FaceLandmarks68;
-//# sourceMappingURL=FaceLandmarks68.js.map
\ No newline at end of file
diff --git a/build/commonjs/classes/FaceLandmarks68.js.map b/build/commonjs/classes/FaceLandmarks68.js.map
deleted file mode 100644
index a83cfd49..00000000
--- a/build/commonjs/classes/FaceLandmarks68.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"FaceLandmarks68.js","sourceRoot":"","sources":["../../../src/classes/FaceLandmarks68.ts"],"names":[],"mappings":";;;AAAA,2EAAoE;AAEpE,0DAAyD;AAEzD;IAAqC,2CAAa;IAAlD;;IAoCA,CAAC;IAnCQ,uCAAa,GAApB;QACE,OAAO,IAAI,CAAC,SAAS,CAAC,KAAK,CAAC,CAAC,EAAE,EAAE,CAAC,CAAA;IACpC,CAAC;IAEM,wCAAc,GAArB;QACE,OAAO,IAAI,CAAC,SAAS,CAAC,KAAK,CAAC,EAAE,EAAE,EAAE,CAAC,CAAA;IACrC,CAAC;IAEM,yCAAe,GAAtB;QACE,OAAO,IAAI,CAAC,SAAS,CAAC,KAAK,CAAC,EAAE,EAAE,EAAE,CAAC,CAAA;IACrC,CAAC;IAEM,iCAAO,GAAd;QACE,OAAO,IAAI,CAAC,SAAS,CAAC,KAAK,CAAC,EAAE,EAAE,EAAE,CAAC,CAAA;IACrC,CAAC;IAEM,oCAAU,GAAjB;QACE,OAAO,IAAI,CAAC,SAAS,CAAC,KAAK,CAAC,EAAE,EAAE,EAAE,CAAC,CAAA;IACrC,CAAC;IAEM,qCAAW,GAAlB;QACE,OAAO,IAAI,CAAC,SAAS,CAAC,KAAK,CAAC,EAAE,EAAE,EAAE,CAAC,CAAA;IACrC,CAAC;IAEM,kCAAQ,GAAf;QACE,OAAO,IAAI,CAAC,SAAS,CAAC,KAAK,CAAC,EAAE,EAAE,EAAE,CAAC,CAAA;IACrC,CAAC;IAES,kDAAwB,GAAlC;QACE,OAAO;YACL,IAAI,CAAC,UAAU,EAAE;YACjB,IAAI,CAAC,WAAW,EAAE;YAClB,IAAI,CAAC,QAAQ,EAAE;SAChB,CAAC,GAAG,CAAC,4CAAc,CAAC,CAAA;IACvB,CAAC;IACH,sBAAC;AAAD,CAAC,AApCD,CAAqC,6BAAa,GAoCjD;AApCY,0CAAe"}
\ No newline at end of file
diff --git a/build/commonjs/classes/FaceMatch.d.ts b/build/commonjs/classes/FaceMatch.d.ts
deleted file mode 100644
index 3c0befef..00000000
--- a/build/commonjs/classes/FaceMatch.d.ts
+++ /dev/null
@@ -1,12 +0,0 @@
-export interface IFaceMatch {
- label: string;
- distance: number;
-}
-export declare class FaceMatch implements IFaceMatch {
- private _label;
- private _distance;
- constructor(label: string, distance: number);
- readonly label: string;
- readonly distance: number;
- toString(withDistance?: boolean): string;
-}
diff --git a/build/commonjs/classes/FaceMatch.js b/build/commonjs/classes/FaceMatch.js
deleted file mode 100644
index 0dbbe68e..00000000
--- a/build/commonjs/classes/FaceMatch.js
+++ /dev/null
@@ -1,26 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-var FaceMatch = /** @class */ (function () {
- function FaceMatch(label, distance) {
- this._label = label;
- this._distance = distance;
- }
- Object.defineProperty(FaceMatch.prototype, "label", {
- get: function () { return this._label; },
- enumerable: true,
- configurable: true
- });
- Object.defineProperty(FaceMatch.prototype, "distance", {
- get: function () { return this._distance; },
- enumerable: true,
- configurable: true
- });
- FaceMatch.prototype.toString = function (withDistance) {
- if (withDistance === void 0) { withDistance = true; }
- return "" + this.label + (withDistance ? " (" + tfjs_image_recognition_base_1.round(this.distance) + ")" : '');
- };
- return FaceMatch;
-}());
-exports.FaceMatch = FaceMatch;
-//# sourceMappingURL=FaceMatch.js.map
\ No newline at end of file
diff --git a/build/commonjs/classes/FaceMatch.js.map b/build/commonjs/classes/FaceMatch.js.map
deleted file mode 100644
index f7016c12..00000000
--- a/build/commonjs/classes/FaceMatch.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"FaceMatch.js","sourceRoot":"","sources":["../../../src/classes/FaceMatch.ts"],"names":[],"mappings":";;AAAA,2EAAoD;AAOpD;IAIE,mBAAY,KAAa,EAAE,QAAgB;QACzC,IAAI,CAAC,MAAM,GAAG,KAAK,CAAA;QACnB,IAAI,CAAC,SAAS,GAAG,QAAQ,CAAA;IAC3B,CAAC;IAED,sBAAW,4BAAK;aAAhB,cAA6B,OAAO,IAAI,CAAC,MAAM,CAAA,CAAC,CAAC;;;OAAA;IACjD,sBAAW,+BAAQ;aAAnB,cAAgC,OAAO,IAAI,CAAC,SAAS,CAAA,CAAC,CAAC;;;OAAA;IAEhD,4BAAQ,GAAf,UAAgB,YAA4B;QAA5B,6BAAA,EAAA,mBAA4B;QAC1C,OAAO,KAAG,IAAI,CAAC,KAAK,IAAG,YAAY,CAAC,CAAC,CAAC,OAAK,mCAAK,CAAC,IAAI,CAAC,QAAQ,CAAC,MAAG,CAAC,CAAC,CAAC,EAAE,CAAE,CAAA;IAC3E,CAAC;IACH,gBAAC;AAAD,CAAC,AAfD,IAeC;AAfY,8BAAS"}
\ No newline at end of file
diff --git a/build/commonjs/classes/LabeledFaceDescriptors.d.ts b/build/commonjs/classes/LabeledFaceDescriptors.d.ts
deleted file mode 100644
index feb5da06..00000000
--- a/build/commonjs/classes/LabeledFaceDescriptors.d.ts
+++ /dev/null
@@ -1,7 +0,0 @@
-export declare class LabeledFaceDescriptors {
- private _label;
- private _descriptors;
- constructor(label: string, descriptors: Float32Array[]);
- readonly label: string;
- readonly descriptors: Float32Array[];
-}
diff --git a/build/commonjs/classes/LabeledFaceDescriptors.js b/build/commonjs/classes/LabeledFaceDescriptors.js
deleted file mode 100644
index 0fd67add..00000000
--- a/build/commonjs/classes/LabeledFaceDescriptors.js
+++ /dev/null
@@ -1,27 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var LabeledFaceDescriptors = /** @class */ (function () {
- function LabeledFaceDescriptors(label, descriptors) {
- if (!(typeof label === 'string')) {
- throw new Error('LabeledFaceDescriptors - constructor expected label to be a string');
- }
- if (!Array.isArray(descriptors) || descriptors.some(function (desc) { return !(desc instanceof Float32Array); })) {
- throw new Error('LabeledFaceDescriptors - constructor expected descriptors to be an array of Float32Array');
- }
- this._label = label;
- this._descriptors = descriptors;
- }
- Object.defineProperty(LabeledFaceDescriptors.prototype, "label", {
- get: function () { return this._label; },
- enumerable: true,
- configurable: true
- });
- Object.defineProperty(LabeledFaceDescriptors.prototype, "descriptors", {
- get: function () { return this._descriptors; },
- enumerable: true,
- configurable: true
- });
- return LabeledFaceDescriptors;
-}());
-exports.LabeledFaceDescriptors = LabeledFaceDescriptors;
-//# sourceMappingURL=LabeledFaceDescriptors.js.map
\ No newline at end of file
diff --git a/build/commonjs/classes/LabeledFaceDescriptors.js.map b/build/commonjs/classes/LabeledFaceDescriptors.js.map
deleted file mode 100644
index 0981d92d..00000000
--- a/build/commonjs/classes/LabeledFaceDescriptors.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"LabeledFaceDescriptors.js","sourceRoot":"","sources":["../../../src/classes/LabeledFaceDescriptors.ts"],"names":[],"mappings":";;AAAA;IAIE,gCAAY,KAAa,EAAE,WAA2B;QACpD,IAAI,CAAC,CAAC,OAAO,KAAK,KAAK,QAAQ,CAAC,EAAE;YAChC,MAAM,IAAI,KAAK,CAAC,oEAAoE,CAAC,CAAA;SACtF;QAED,IAAI,CAAC,KAAK,CAAC,OAAO,CAAC,WAAW,CAAC,IAAI,WAAW,CAAC,IAAI,CAAC,UAAA,IAAI,IAAI,OAAA,CAAC,CAAC,IAAI,YAAY,YAAY,CAAC,EAA/B,CAA+B,CAAC,EAAE;YAC5F,MAAM,IAAI,KAAK,CAAC,0FAA0F,CAAC,CAAA;SAC5G;QAED,IAAI,CAAC,MAAM,GAAG,KAAK,CAAA;QACnB,IAAI,CAAC,YAAY,GAAG,WAAW,CAAA;IACjC,CAAC;IAED,sBAAW,yCAAK;aAAhB,cAA6B,OAAO,IAAI,CAAC,MAAM,CAAA,CAAC,CAAC;;;OAAA;IACjD,sBAAW,+CAAW;aAAtB,cAA2C,OAAO,IAAI,CAAC,YAAY,CAAA,CAAC,CAAC;;;OAAA;IACvE,6BAAC;AAAD,CAAC,AAnBD,IAmBC;AAnBY,wDAAsB"}
\ No newline at end of file
diff --git a/build/commonjs/classes/index.d.ts b/build/commonjs/classes/index.d.ts
deleted file mode 100644
index 8d1b8ffe..00000000
--- a/build/commonjs/classes/index.d.ts
+++ /dev/null
@@ -1,6 +0,0 @@
-export * from './FaceDetection';
-export * from './FaceLandmarks';
-export * from './FaceLandmarks5';
-export * from './FaceLandmarks68';
-export * from './FaceMatch';
-export * from './LabeledFaceDescriptors';
diff --git a/build/commonjs/classes/index.js b/build/commonjs/classes/index.js
deleted file mode 100644
index cf4fa0fa..00000000
--- a/build/commonjs/classes/index.js
+++ /dev/null
@@ -1,10 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-tslib_1.__exportStar(require("./FaceDetection"), exports);
-tslib_1.__exportStar(require("./FaceLandmarks"), exports);
-tslib_1.__exportStar(require("./FaceLandmarks5"), exports);
-tslib_1.__exportStar(require("./FaceLandmarks68"), exports);
-tslib_1.__exportStar(require("./FaceMatch"), exports);
-tslib_1.__exportStar(require("./LabeledFaceDescriptors"), exports);
-//# sourceMappingURL=index.js.map
\ No newline at end of file
diff --git a/build/commonjs/classes/index.js.map b/build/commonjs/classes/index.js.map
deleted file mode 100644
index c50e2ffd..00000000
--- a/build/commonjs/classes/index.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"index.js","sourceRoot":"","sources":["../../../src/classes/index.ts"],"names":[],"mappings":";;;AAAA,0DAAgC;AAChC,0DAAgC;AAChC,2DAAiC;AACjC,4DAAkC;AAClC,sDAA4B;AAC5B,mEAAyC"}
\ No newline at end of file
diff --git a/build/commonjs/common/fullyConnectedLayer.d.ts b/build/commonjs/common/fullyConnectedLayer.d.ts
deleted file mode 100644
index baf23083..00000000
--- a/build/commonjs/common/fullyConnectedLayer.d.ts
+++ /dev/null
@@ -1,3 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-export declare function fullyConnectedLayer(x: tf.Tensor2D, params: TfjsImageRecognitionBase.FCParams): tf.Tensor2D;
diff --git a/build/commonjs/common/fullyConnectedLayer.js b/build/commonjs/common/fullyConnectedLayer.js
deleted file mode 100644
index 624c1d5e..00000000
--- a/build/commonjs/common/fullyConnectedLayer.js
+++ /dev/null
@@ -1,10 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tf = require("@tensorflow/tfjs-core");
-function fullyConnectedLayer(x, params) {
- return tf.tidy(function () {
- return tf.add(tf.matMul(x, params.weights), params.bias);
- });
-}
-exports.fullyConnectedLayer = fullyConnectedLayer;
-//# sourceMappingURL=fullyConnectedLayer.js.map
\ No newline at end of file
diff --git a/build/commonjs/common/fullyConnectedLayer.js.map b/build/commonjs/common/fullyConnectedLayer.js.map
deleted file mode 100644
index 9c759b6b..00000000
--- a/build/commonjs/common/fullyConnectedLayer.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"fullyConnectedLayer.js","sourceRoot":"","sources":["../../../src/common/fullyConnectedLayer.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAG5C,SAAgB,mBAAmB,CACjC,CAAc,EACd,MAAyC;IAEzC,OAAO,EAAE,CAAC,IAAI,CAAC;QACb,OAAA,EAAE,CAAC,GAAG,CACJ,EAAE,CAAC,MAAM,CAAC,CAAC,EAAE,MAAM,CAAC,OAAO,CAAC,EAC5B,MAAM,CAAC,IAAI,CACZ;IAHD,CAGC,CACF,CAAA;AACH,CAAC;AAVD,kDAUC"}
\ No newline at end of file
diff --git a/build/commonjs/dom/drawContour.d.ts b/build/commonjs/dom/drawContour.d.ts
deleted file mode 100644
index 78664e6b..00000000
--- a/build/commonjs/dom/drawContour.d.ts
+++ /dev/null
@@ -1,2 +0,0 @@
-import { Point } from 'tfjs-image-recognition-base';
-export declare function drawContour(ctx: CanvasRenderingContext2D, points: Point[], isClosed?: boolean): void;
diff --git a/build/commonjs/dom/drawContour.js b/build/commonjs/dom/drawContour.js
deleted file mode 100644
index 097275c3..00000000
--- a/build/commonjs/dom/drawContour.js
+++ /dev/null
@@ -1,24 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-function drawContour(ctx, points, isClosed) {
- if (isClosed === void 0) { isClosed = false; }
- ctx.beginPath();
- points.slice(1).forEach(function (_a, prevIdx) {
- var x = _a.x, y = _a.y;
- var from = points[prevIdx];
- ctx.moveTo(from.x, from.y);
- ctx.lineTo(x, y);
- });
- if (isClosed) {
- var from = points[points.length - 1];
- var to = points[0];
- if (!from || !to) {
- return;
- }
- ctx.moveTo(from.x, from.y);
- ctx.lineTo(to.x, to.y);
- }
- ctx.stroke();
-}
-exports.drawContour = drawContour;
-//# sourceMappingURL=drawContour.js.map
\ No newline at end of file
diff --git a/build/commonjs/dom/drawContour.js.map b/build/commonjs/dom/drawContour.js.map
deleted file mode 100644
index 6d7a3de8..00000000
--- a/build/commonjs/dom/drawContour.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"drawContour.js","sourceRoot":"","sources":["../../../src/dom/drawContour.ts"],"names":[],"mappings":";;AAEA,SAAgB,WAAW,CACzB,GAA6B,EAC7B,MAAe,EACf,QAAyB;IAAzB,yBAAA,EAAA,gBAAyB;IAEzB,GAAG,CAAC,SAAS,EAAE,CAAA;IAEf,MAAM,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,OAAO,CAAC,UAAC,EAAQ,EAAE,OAAO;YAAf,QAAC,EAAE,QAAC;QAC7B,IAAM,IAAI,GAAG,MAAM,CAAC,OAAO,CAAC,CAAA;QAC5B,GAAG,CAAC,MAAM,CAAC,IAAI,CAAC,CAAC,EAAE,IAAI,CAAC,CAAC,CAAC,CAAA;QAC1B,GAAG,CAAC,MAAM,CAAC,CAAC,EAAE,CAAC,CAAC,CAAA;IAClB,CAAC,CAAC,CAAA;IAEF,IAAI,QAAQ,EAAE;QACZ,IAAM,IAAI,GAAG,MAAM,CAAC,MAAM,CAAC,MAAM,GAAG,CAAC,CAAC,CAAA;QACtC,IAAM,EAAE,GAAG,MAAM,CAAC,CAAC,CAAC,CAAA;QACpB,IAAI,CAAC,IAAI,IAAI,CAAC,EAAE,EAAE;YAChB,OAAM;SACP;QAED,GAAG,CAAC,MAAM,CAAC,IAAI,CAAC,CAAC,EAAE,IAAI,CAAC,CAAC,CAAC,CAAA;QAC1B,GAAG,CAAC,MAAM,CAAC,EAAE,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAA;KACvB;IAED,GAAG,CAAC,MAAM,EAAE,CAAA;AACd,CAAC;AAzBD,kCAyBC"}
\ No newline at end of file
diff --git a/build/commonjs/dom/drawFaceExpressions.d.ts b/build/commonjs/dom/drawFaceExpressions.d.ts
deleted file mode 100644
index 50eaee66..00000000
--- a/build/commonjs/dom/drawFaceExpressions.d.ts
+++ /dev/null
@@ -1,2 +0,0 @@
-import { DrawFaceExpressionsInput, DrawFaceExpressionsOptions } from './types';
-export declare function drawFaceExpressions(canvasArg: string | HTMLCanvasElement, faceExpressions: DrawFaceExpressionsInput | DrawFaceExpressionsInput[], options?: DrawFaceExpressionsOptions): void;
diff --git a/build/commonjs/dom/drawFaceExpressions.js b/build/commonjs/dom/drawFaceExpressions.js
deleted file mode 100644
index 6e265ff2..00000000
--- a/build/commonjs/dom/drawFaceExpressions.js
+++ /dev/null
@@ -1,34 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-function drawFaceExpressions(canvasArg, faceExpressions, options) {
- var canvas = tfjs_image_recognition_base_1.resolveInput(canvasArg);
- if (!(canvas instanceof tfjs_image_recognition_base_1.env.getEnv().Canvas)) {
- throw new Error('drawFaceExpressions - expected canvas to be of type: HTMLCanvasElement');
- }
- var drawOptions = Object.assign(tfjs_image_recognition_base_1.getDefaultDrawOptions(options), (options || {}));
- var ctx = tfjs_image_recognition_base_1.getContext2dOrThrow(canvas);
- var _a = drawOptions.primaryColor, primaryColor = _a === void 0 ? 'red' : _a, _b = drawOptions.secondaryColor, secondaryColor = _b === void 0 ? 'blue' : _b, _c = drawOptions.primaryFontSize, primaryFontSize = _c === void 0 ? 22 : _c, _d = drawOptions.secondaryFontSize, secondaryFontSize = _d === void 0 ? 16 : _d, _e = drawOptions.minConfidence, minConfidence = _e === void 0 ? 0.2 : _e;
- var faceExpressionsArray = Array.isArray(faceExpressions)
- ? faceExpressions
- : [faceExpressions];
- faceExpressionsArray.forEach(function (_a) {
- var position = _a.position, expressions = _a.expressions;
- var x = position.x, y = position.y;
- var height = position.height || 0;
- var sorted = expressions.sort(function (a, b) { return b.probability - a.probability; });
- var resultsToDisplay = sorted.filter(function (expr) { return expr.probability > minConfidence; });
- var offset = (y + height + resultsToDisplay.length * primaryFontSize) > canvas.height
- ? -(resultsToDisplay.length * primaryFontSize)
- : 0;
- resultsToDisplay.forEach(function (expr, i) {
- var text = expr.expression + " (" + tfjs_image_recognition_base_1.round(expr.probability) + ")";
- tfjs_image_recognition_base_1.drawText(ctx, x, y + height + (i * primaryFontSize) + offset, text, {
- textColor: i === 0 ? primaryColor : secondaryColor,
- fontSize: i === 0 ? primaryFontSize : secondaryFontSize
- });
- });
- });
-}
-exports.drawFaceExpressions = drawFaceExpressions;
-//# sourceMappingURL=drawFaceExpressions.js.map
\ No newline at end of file
diff --git a/build/commonjs/dom/drawFaceExpressions.js.map b/build/commonjs/dom/drawFaceExpressions.js.map
deleted file mode 100644
index 3af202c8..00000000
--- a/build/commonjs/dom/drawFaceExpressions.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"drawFaceExpressions.js","sourceRoot":"","sources":["../../../src/dom/drawFaceExpressions.ts"],"names":[],"mappings":";;AAAA,2EAA6H;AAK7H,SAAgB,mBAAmB,CACjC,SAAqC,EACrC,eAAsE,EACtE,OAAoC;IAEpC,IAAM,MAAM,GAAG,0CAAY,CAAC,SAAS,CAAC,CAAA;IACtC,IAAI,CAAC,CAAC,MAAM,YAAY,iCAAG,CAAC,MAAM,EAAE,CAAC,MAAM,CAAC,EAAE;QAC5C,MAAM,IAAI,KAAK,CAAC,wEAAwE,CAAC,CAAA;KAC1F;IAED,IAAM,WAAW,GAAG,MAAM,CAAC,MAAM,CAC/B,mDAAqB,CAAC,OAAO,CAAC,EAC9B,CAAC,OAAO,IAAI,EAAE,CAAC,CAChB,CAAA;IAED,IAAM,GAAG,GAAG,iDAAmB,CAAC,MAAM,CAAC,CAAA;IAErC,IAAA,6BAAoB,EAApB,yCAAoB,EACpB,+BAAuB,EAAvB,4CAAuB,EACvB,gCAAoB,EAApB,yCAAoB,EACpB,kCAAsB,EAAtB,2CAAsB,EACtB,8BAAmB,EAAnB,wCAAmB,CACN;IAEf,IAAM,oBAAoB,GAAG,KAAK,CAAC,OAAO,CAAC,eAAe,CAAC;QACzD,CAAC,CAAC,eAAe;QACjB,CAAC,CAAC,CAAC,eAAe,CAAC,CAAA;IAErB,oBAAoB,CAAC,OAAO,CAAC,UAAC,EAAyB;YAAvB,sBAAQ,EAAE,4BAAW;QAC3C,IAAA,cAAC,EAAE,cAAC,CAAa;QACzB,IAAM,MAAM,GAAI,QAAkB,CAAC,MAAM,IAAI,CAAC,CAAA;QAC9C,IAAM,MAAM,GAAG,WAAW,CAAC,IAAI,CAAC,UAAC,CAAC,EAAE,CAAC,IAAK,OAAA,CAAC,CAAC,WAAW,GAAG,CAAC,CAAC,WAAW,EAA7B,CAA6B,CAAC,CAAA;QACxE,IAAM,gBAAgB,GAAG,MAAM,CAAC,MAAM,CAAC,UAAA,IAAI,IAAI,OAAA,IAAI,CAAC,WAAW,GAAG,aAAa,EAAhC,CAAgC,CAAC,CAAA;QAEhF,IAAI,MAAM,GAAG,CAAC,CAAC,GAAG,MAAM,GAAG,gBAAgB,CAAC,MAAM,GAAG,eAAe,CAAC,GAAG,MAAM,CAAC,MAAM;YACnF,CAAC,CAAC,CAAC,CAAC,gBAAgB,CAAC,MAAM,GAAG,eAAe,CAAC;YAC9C,CAAC,CAAC,CAAC,CAAA;QACL,gBAAgB,CAAC,OAAO,CAAC,UAAC,IAAI,EAAE,CAAC;YAC/B,IAAM,IAAI,GAAM,IAAI,CAAC,UAAU,UAAK,mCAAK,CAAC,IAAI,CAAC,WAAW,CAAC,MAAG,CAAA;YAC9D,sCAAQ,CACN,GAAG,EACH,CAAC,EACD,CAAC,GAAG,MAAM,GAAG,CAAC,CAAC,GAAG,eAAe,CAAC,GAAG,MAAM,EAC3C,IAAI,EACJ;gBACE,SAAS,EAAE,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,YAAY,CAAC,CAAC,CAAC,cAAc;gBAClD,QAAQ,EAAE,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,eAAe,CAAC,CAAC,CAAC,iBAAiB;aACxD,CACF,CAAA;QACH,CAAC,CAAC,CAAA;IACJ,CAAC,CAAC,CAAA;AAGJ,CAAC;AArDD,kDAqDC"}
\ No newline at end of file
diff --git a/build/commonjs/dom/drawLandmarks.d.ts b/build/commonjs/dom/drawLandmarks.d.ts
deleted file mode 100644
index 4a372873..00000000
--- a/build/commonjs/dom/drawLandmarks.d.ts
+++ /dev/null
@@ -1,3 +0,0 @@
-import { FaceLandmarks } from '../classes/FaceLandmarks';
-import { DrawLandmarksOptions } from './types';
-export declare function drawLandmarks(canvasArg: string | HTMLCanvasElement, faceLandmarks: FaceLandmarks | FaceLandmarks[], options?: DrawLandmarksOptions): void;
diff --git a/build/commonjs/dom/drawLandmarks.js b/build/commonjs/dom/drawLandmarks.js
deleted file mode 100644
index ed6c7c5c..00000000
--- a/build/commonjs/dom/drawLandmarks.js
+++ /dev/null
@@ -1,36 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-var FaceLandmarks68_1 = require("../classes/FaceLandmarks68");
-var drawContour_1 = require("./drawContour");
-function drawLandmarks(canvasArg, faceLandmarks, options) {
- var canvas = tfjs_image_recognition_base_1.resolveInput(canvasArg);
- if (!(canvas instanceof tfjs_image_recognition_base_1.env.getEnv().Canvas)) {
- throw new Error('drawLandmarks - expected canvas to be of type: HTMLCanvasElement');
- }
- var drawOptions = Object.assign(tfjs_image_recognition_base_1.getDefaultDrawOptions(options), (options || {}));
- var drawLines = Object.assign({ drawLines: false }, (options || {})).drawLines;
- var ctx = tfjs_image_recognition_base_1.getContext2dOrThrow(canvas);
- var lineWidth = drawOptions.lineWidth, _a = drawOptions.color, color = _a === void 0 ? 'blue' : _a;
- var faceLandmarksArray = Array.isArray(faceLandmarks) ? faceLandmarks : [faceLandmarks];
- faceLandmarksArray.forEach(function (landmarks) {
- if (drawLines && landmarks instanceof FaceLandmarks68_1.FaceLandmarks68) {
- ctx.strokeStyle = color;
- ctx.lineWidth = lineWidth;
- drawContour_1.drawContour(ctx, landmarks.getJawOutline());
- drawContour_1.drawContour(ctx, landmarks.getLeftEyeBrow());
- drawContour_1.drawContour(ctx, landmarks.getRightEyeBrow());
- drawContour_1.drawContour(ctx, landmarks.getNose());
- drawContour_1.drawContour(ctx, landmarks.getLeftEye(), true);
- drawContour_1.drawContour(ctx, landmarks.getRightEye(), true);
- drawContour_1.drawContour(ctx, landmarks.getMouth(), true);
- return;
- }
- // else draw points
- var ptOffset = lineWidth / 2;
- ctx.fillStyle = color;
- landmarks.positions.forEach(function (pt) { return ctx.fillRect(pt.x - ptOffset, pt.y - ptOffset, lineWidth, lineWidth); });
- });
-}
-exports.drawLandmarks = drawLandmarks;
-//# sourceMappingURL=drawLandmarks.js.map
\ No newline at end of file
diff --git a/build/commonjs/dom/drawLandmarks.js.map b/build/commonjs/dom/drawLandmarks.js.map
deleted file mode 100644
index 3d15c8a8..00000000
--- a/build/commonjs/dom/drawLandmarks.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"drawLandmarks.js","sourceRoot":"","sources":["../../../src/dom/drawLandmarks.ts"],"names":[],"mappings":";;AAAA,2EAA4G;AAG5G,8DAA6D;AAC7D,6CAA4C;AAG5C,SAAgB,aAAa,CAC3B,SAAqC,EACrC,aAA8C,EAC9C,OAA8B;IAE9B,IAAM,MAAM,GAAG,0CAAY,CAAC,SAAS,CAAC,CAAA;IACtC,IAAI,CAAC,CAAC,MAAM,YAAY,iCAAG,CAAC,MAAM,EAAE,CAAC,MAAM,CAAC,EAAE;QAC5C,MAAM,IAAI,KAAK,CAAC,kEAAkE,CAAC,CAAA;KACpF;IAED,IAAM,WAAW,GAAG,MAAM,CAAC,MAAM,CAC/B,mDAAqB,CAAC,OAAO,CAAC,EAC9B,CAAC,OAAO,IAAI,EAAE,CAAC,CAChB,CAAA;IAEO,IAAA,0EAAS,CAAyD;IAE1E,IAAM,GAAG,GAAG,iDAAmB,CAAC,MAAM,CAAC,CAAA;IAC/B,IAAA,iCAAS,EAAE,sBAAc,EAAd,mCAAc,CAAgB;IAEjD,IAAM,kBAAkB,GAAG,KAAK,CAAC,OAAO,CAAC,aAAa,CAAC,CAAC,CAAC,CAAC,aAAa,CAAC,CAAC,CAAC,CAAC,aAAa,CAAC,CAAA;IAEzF,kBAAkB,CAAC,OAAO,CAAC,UAAA,SAAS;QAClC,IAAI,SAAS,IAAI,SAAS,YAAY,iCAAe,EAAE;YACrD,GAAG,CAAC,WAAW,GAAG,KAAK,CAAA;YACvB,GAAG,CAAC,SAAS,GAAG,SAAS,CAAA;YACzB,yBAAW,CAAC,GAAG,EAAE,SAAS,CAAC,aAAa,EAAE,CAAC,CAAA;YAC3C,yBAAW,CAAC,GAAG,EAAE,SAAS,CAAC,cAAc,EAAE,CAAC,CAAA;YAC5C,yBAAW,CAAC,GAAG,EAAE,SAAS,CAAC,eAAe,EAAE,CAAC,CAAA;YAC7C,yBAAW,CAAC,GAAG,EAAE,SAAS,CAAC,OAAO,EAAE,CAAC,CAAA;YACrC,yBAAW,CAAC,GAAG,EAAE,SAAS,CAAC,UAAU,EAAE,EAAE,IAAI,CAAC,CAAA;YAC9C,yBAAW,CAAC,GAAG,EAAE,SAAS,CAAC,WAAW,EAAE,EAAE,IAAI,CAAC,CAAA;YAC/C,yBAAW,CAAC,GAAG,EAAE,SAAS,CAAC,QAAQ,EAAE,EAAE,IAAI,CAAC,CAAA;YAC5C,OAAM;SACP;QAED,mBAAmB;QACnB,IAAM,QAAQ,GAAG,SAAS,GAAG,CAAC,CAAA;QAC9B,GAAG,CAAC,SAAS,GAAG,KAAK,CAAA;QACrB,SAAS,CAAC,SAAS,CAAC,OAAO,CAAC,UAAA,EAAE,IAAI,OAAA,GAAG,CAAC,QAAQ,CAAC,EAAE,CAAC,CAAC,GAAG,QAAQ,EAAE,EAAE,CAAC,CAAC,GAAG,QAAQ,EAAE,SAAS,EAAE,SAAS,CAAC,EAApE,CAAoE,CAAC,CAAA;IACzG,CAAC,CAAC,CAAA;AACJ,CAAC;AAzCD,sCAyCC"}
\ No newline at end of file
diff --git a/build/commonjs/dom/extractFaceTensors.d.ts b/build/commonjs/dom/extractFaceTensors.d.ts
deleted file mode 100644
index 429ea46e..00000000
--- a/build/commonjs/dom/extractFaceTensors.d.ts
+++ /dev/null
@@ -1,14 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { Rect } from 'tfjs-image-recognition-base';
-import { FaceDetection } from '../classes/FaceDetection';
-/**
- * Extracts the tensors of the image regions containing the detected faces.
- * Useful if you want to compute the face descriptors for the face images.
- * Using this method is faster then extracting a canvas for each face and
- * converting them to tensors individually.
- *
- * @param imageTensor The image tensor that face detection has been performed on.
- * @param detections The face detection results or face bounding boxes for that image.
- * @returns Tensors of the corresponding image region for each detected face.
- */
-export declare function extractFaceTensors(imageTensor: tf.Tensor3D | tf.Tensor4D, detections: Array): Promise;
diff --git a/build/commonjs/dom/extractFaceTensors.js b/build/commonjs/dom/extractFaceTensors.js
deleted file mode 100644
index 129356a6..00000000
--- a/build/commonjs/dom/extractFaceTensors.js
+++ /dev/null
@@ -1,42 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-var tf = require("@tensorflow/tfjs-core");
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-var FaceDetection_1 = require("../classes/FaceDetection");
-/**
- * Extracts the tensors of the image regions containing the detected faces.
- * Useful if you want to compute the face descriptors for the face images.
- * Using this method is faster then extracting a canvas for each face and
- * converting them to tensors individually.
- *
- * @param imageTensor The image tensor that face detection has been performed on.
- * @param detections The face detection results or face bounding boxes for that image.
- * @returns Tensors of the corresponding image region for each detected face.
- */
-function extractFaceTensors(imageTensor, detections) {
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- return tslib_1.__generator(this, function (_a) {
- if (!tfjs_image_recognition_base_1.isTensor3D(imageTensor) && !tfjs_image_recognition_base_1.isTensor4D(imageTensor)) {
- throw new Error('extractFaceTensors - expected image tensor to be 3D or 4D');
- }
- if (tfjs_image_recognition_base_1.isTensor4D(imageTensor) && imageTensor.shape[0] > 1) {
- throw new Error('extractFaceTensors - batchSize > 1 not supported');
- }
- return [2 /*return*/, tf.tidy(function () {
- var _a = imageTensor.shape.slice(tfjs_image_recognition_base_1.isTensor4D(imageTensor) ? 1 : 0), imgHeight = _a[0], imgWidth = _a[1], numChannels = _a[2];
- var boxes = detections.map(function (det) { return det instanceof FaceDetection_1.FaceDetection
- ? det.forSize(imgWidth, imgHeight).box
- : det; })
- .map(function (box) { return box.clipAtImageBorders(imgWidth, imgHeight); });
- var faceTensors = boxes.map(function (_a) {
- var x = _a.x, y = _a.y, width = _a.width, height = _a.height;
- return tf.slice3d(imageTensor.as3D(imgHeight, imgWidth, numChannels), [y, x, 0], [height, width, numChannels]);
- });
- return faceTensors;
- })];
- });
- });
-}
-exports.extractFaceTensors = extractFaceTensors;
-//# sourceMappingURL=extractFaceTensors.js.map
\ No newline at end of file
diff --git a/build/commonjs/dom/extractFaceTensors.js.map b/build/commonjs/dom/extractFaceTensors.js.map
deleted file mode 100644
index 1ad7fb81..00000000
--- a/build/commonjs/dom/extractFaceTensors.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"extractFaceTensors.js","sourceRoot":"","sources":["../../../src/dom/extractFaceTensors.ts"],"names":[],"mappings":";;;AAAA,0CAA4C;AAC5C,2EAA2E;AAE3E,0DAAyD;AAEzD;;;;;;;;;GASG;AACH,SAAsB,kBAAkB,CACtC,WAAsC,EACtC,UAAuC;;;YAGvC,IAAI,CAAC,wCAAU,CAAC,WAAW,CAAC,IAAI,CAAC,wCAAU,CAAC,WAAW,CAAC,EAAE;gBACxD,MAAM,IAAI,KAAK,CAAC,2DAA2D,CAAC,CAAA;aAC7E;YAED,IAAI,wCAAU,CAAC,WAAW,CAAC,IAAI,WAAW,CAAC,KAAK,CAAC,CAAC,CAAC,GAAG,CAAC,EAAE;gBACvD,MAAM,IAAI,KAAK,CAAC,kDAAkD,CAAC,CAAA;aACpE;YAED,sBAAO,EAAE,CAAC,IAAI,CAAC;oBACP,IAAA,2FAA6F,EAA5F,iBAAS,EAAE,gBAAQ,EAAE,mBAAuE,CAAA;oBAEnG,IAAM,KAAK,GAAG,UAAU,CAAC,GAAG,CAC1B,UAAA,GAAG,IAAI,OAAA,GAAG,YAAY,6BAAa;wBACjC,CAAC,CAAC,GAAG,CAAC,OAAO,CAAC,QAAQ,EAAE,SAAS,CAAC,CAAC,GAAG;wBACtC,CAAC,CAAC,GAAG,EAFA,CAEA,CACR;yBACE,GAAG,CAAC,UAAA,GAAG,IAAI,OAAA,GAAG,CAAC,kBAAkB,CAAC,QAAQ,EAAE,SAAS,CAAC,EAA3C,CAA2C,CAAC,CAAA;oBAE1D,IAAM,WAAW,GAAG,KAAK,CAAC,GAAG,CAAC,UAAC,EAAuB;4BAArB,QAAC,EAAE,QAAC,EAAE,gBAAK,EAAE,kBAAM;wBAClD,OAAA,EAAE,CAAC,OAAO,CAAC,WAAW,CAAC,IAAI,CAAC,SAAS,EAAE,QAAQ,EAAE,WAAW,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,MAAM,EAAE,KAAK,EAAE,WAAW,CAAC,CAAC;oBAAvG,CAAuG,CACxG,CAAA;oBAED,OAAO,WAAW,CAAA;gBACpB,CAAC,CAAC,EAAA;;;CACH;AA7BD,gDA6BC"}
\ No newline at end of file
diff --git a/build/commonjs/dom/extractFaces.d.ts b/build/commonjs/dom/extractFaces.d.ts
deleted file mode 100644
index d7bf0e60..00000000
--- a/build/commonjs/dom/extractFaces.d.ts
+++ /dev/null
@@ -1,10 +0,0 @@
-import { Rect, TNetInput } from 'tfjs-image-recognition-base';
-import { FaceDetection } from '../classes/FaceDetection';
-/**
- * Extracts the image regions containing the detected faces.
- *
- * @param input The image that face detection has been performed on.
- * @param detections The face detection results or face bounding boxes for that image.
- * @returns The Canvases of the corresponding image region for each detected face.
- */
-export declare function extractFaces(input: TNetInput, detections: Array): Promise;
diff --git a/build/commonjs/dom/extractFaces.js b/build/commonjs/dom/extractFaces.js
deleted file mode 100644
index 1b81e57f..00000000
--- a/build/commonjs/dom/extractFaces.js
+++ /dev/null
@@ -1,57 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-var FaceDetection_1 = require("../classes/FaceDetection");
-/**
- * Extracts the image regions containing the detected faces.
- *
- * @param input The image that face detection has been performed on.
- * @param detections The face detection results or face bounding boxes for that image.
- * @returns The Canvases of the corresponding image region for each detected face.
- */
-function extractFaces(input, detections) {
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- var Canvas, canvas, netInput, tensorOrCanvas, _a, ctx, boxes;
- return tslib_1.__generator(this, function (_b) {
- switch (_b.label) {
- case 0:
- Canvas = tfjs_image_recognition_base_1.env.getEnv().Canvas;
- canvas = input;
- if (!!(input instanceof Canvas)) return [3 /*break*/, 5];
- return [4 /*yield*/, tfjs_image_recognition_base_1.toNetInput(input)];
- case 1:
- netInput = _b.sent();
- if (netInput.batchSize > 1) {
- throw new Error('extractFaces - batchSize > 1 not supported');
- }
- tensorOrCanvas = netInput.getInput(0);
- if (!(tensorOrCanvas instanceof Canvas)) return [3 /*break*/, 2];
- _a = tensorOrCanvas;
- return [3 /*break*/, 4];
- case 2: return [4 /*yield*/, tfjs_image_recognition_base_1.imageTensorToCanvas(tensorOrCanvas)];
- case 3:
- _a = _b.sent();
- _b.label = 4;
- case 4:
- canvas = _a;
- _b.label = 5;
- case 5:
- ctx = tfjs_image_recognition_base_1.getContext2dOrThrow(canvas);
- boxes = detections.map(function (det) { return det instanceof FaceDetection_1.FaceDetection
- ? det.forSize(canvas.width, canvas.height).box.floor()
- : det; })
- .map(function (box) { return box.clipAtImageBorders(canvas.width, canvas.height); });
- return [2 /*return*/, boxes.map(function (_a) {
- var x = _a.x, y = _a.y, width = _a.width, height = _a.height;
- var faceImg = tfjs_image_recognition_base_1.createCanvas({ width: width, height: height });
- tfjs_image_recognition_base_1.getContext2dOrThrow(faceImg)
- .putImageData(ctx.getImageData(x, y, width, height), 0, 0);
- return faceImg;
- })];
- }
- });
- });
-}
-exports.extractFaces = extractFaces;
-//# sourceMappingURL=extractFaces.js.map
\ No newline at end of file
diff --git a/build/commonjs/dom/extractFaces.js.map b/build/commonjs/dom/extractFaces.js.map
deleted file mode 100644
index 1eca00ca..00000000
--- a/build/commonjs/dom/extractFaces.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"extractFaces.js","sourceRoot":"","sources":["../../../src/dom/extractFaces.ts"],"names":[],"mappings":";;;AAAA,2EAQqC;AAErC,0DAAyD;AAEzD;;;;;;GAMG;AACH,SAAsB,YAAY,CAChC,KAAgB,EAChB,UAAuC;;;;;;oBAG/B,MAAM,GAAK,iCAAG,CAAC,MAAM,EAAE,OAAjB,CAAiB;oBAE3B,MAAM,GAAG,KAA0B,CAAA;yBAEnC,CAAC,CAAC,KAAK,YAAY,MAAM,CAAC,EAA1B,wBAA0B;oBACX,qBAAM,wCAAU,CAAC,KAAK,CAAC,EAAA;;oBAAlC,QAAQ,GAAG,SAAuB;oBAExC,IAAI,QAAQ,CAAC,SAAS,GAAG,CAAC,EAAE;wBAC1B,MAAM,IAAI,KAAK,CAAC,4CAA4C,CAAC,CAAA;qBAC9D;oBAEK,cAAc,GAAG,QAAQ,CAAC,QAAQ,CAAC,CAAC,CAAC,CAAA;yBAClC,CAAA,cAAc,YAAY,MAAM,CAAA,EAAhC,wBAAgC;oBACrC,KAAA,cAAc,CAAA;;wBACd,qBAAM,iDAAmB,CAAC,cAAc,CAAC,EAAA;;oBAAzC,KAAA,SAAyC,CAAA;;;oBAF7C,MAAM,KAEuC,CAAA;;;oBAGzC,GAAG,GAAG,iDAAmB,CAAC,MAAM,CAAC,CAAA;oBACjC,KAAK,GAAG,UAAU,CAAC,GAAG,CAC1B,UAAA,GAAG,IAAI,OAAA,GAAG,YAAY,6BAAa;wBACjC,CAAC,CAAC,GAAG,CAAC,OAAO,CAAC,MAAM,CAAC,KAAK,EAAE,MAAM,CAAC,MAAM,CAAC,CAAC,GAAG,CAAC,KAAK,EAAE;wBACtD,CAAC,CAAC,GAAG,EAFA,CAEA,CACR;yBACE,GAAG,CAAC,UAAA,GAAG,IAAI,OAAA,GAAG,CAAC,kBAAkB,CAAC,MAAM,CAAC,KAAK,EAAE,MAAM,CAAC,MAAM,CAAC,EAAnD,CAAmD,CAAC,CAAA;oBAElE,sBAAO,KAAK,CAAC,GAAG,CAAC,UAAC,EAAuB;gCAArB,QAAC,EAAE,QAAC,EAAE,gBAAK,EAAE,kBAAM;4BACrC,IAAM,OAAO,GAAG,0CAAY,CAAC,EAAE,KAAK,OAAA,EAAE,MAAM,QAAA,EAAE,CAAC,CAAA;4BAC/C,iDAAmB,CAAC,OAAO,CAAC;iCACzB,YAAY,CAAC,GAAG,CAAC,YAAY,CAAC,CAAC,EAAE,CAAC,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAA;4BAC5D,OAAO,OAAO,CAAA;wBAChB,CAAC,CAAC,EAAA;;;;CACH;AApCD,oCAoCC"}
\ No newline at end of file
diff --git a/build/commonjs/dom/index.d.ts b/build/commonjs/dom/index.d.ts
deleted file mode 100644
index 9b8d66e1..00000000
--- a/build/commonjs/dom/index.d.ts
+++ /dev/null
@@ -1,6 +0,0 @@
-export * from './drawContour';
-export * from './drawLandmarks';
-export * from './drawFaceExpressions';
-export * from './extractFaces';
-export * from './extractFaceTensors';
-export * from './types';
diff --git a/build/commonjs/dom/index.js b/build/commonjs/dom/index.js
deleted file mode 100644
index 70cc71bd..00000000
--- a/build/commonjs/dom/index.js
+++ /dev/null
@@ -1,9 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-tslib_1.__exportStar(require("./drawContour"), exports);
-tslib_1.__exportStar(require("./drawLandmarks"), exports);
-tslib_1.__exportStar(require("./drawFaceExpressions"), exports);
-tslib_1.__exportStar(require("./extractFaces"), exports);
-tslib_1.__exportStar(require("./extractFaceTensors"), exports);
-//# sourceMappingURL=index.js.map
\ No newline at end of file
diff --git a/build/commonjs/dom/index.js.map b/build/commonjs/dom/index.js.map
deleted file mode 100644
index 292d4409..00000000
--- a/build/commonjs/dom/index.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"index.js","sourceRoot":"","sources":["../../../src/dom/index.ts"],"names":[],"mappings":";;;AAAA,wDAA6B;AAC7B,0DAA+B;AAC/B,gEAAqC;AACrC,yDAA8B;AAC9B,+DAAoC"}
\ No newline at end of file
diff --git a/build/commonjs/dom/types.d.ts b/build/commonjs/dom/types.d.ts
deleted file mode 100644
index e1f3d6f6..00000000
--- a/build/commonjs/dom/types.d.ts
+++ /dev/null
@@ -1,17 +0,0 @@
-import { IPoint, IRect } from 'tfjs-image-recognition-base';
-import { WithFaceExpressions } from '../factories/WithFaceExpressions';
-export declare type DrawLandmarksOptions = {
- lineWidth?: number;
- color?: string;
- drawLines?: boolean;
-};
-export declare type DrawFaceExpressionsOptions = {
- primaryColor?: string;
- secondaryColor?: string;
- primaryFontSize?: number;
- secondaryFontSize?: number;
- minConfidence?: number;
-};
-export declare type DrawFaceExpressionsInput = WithFaceExpressions<{
- position: IPoint | IRect;
-}>;
diff --git a/build/commonjs/dom/types.js b/build/commonjs/dom/types.js
deleted file mode 100644
index 11e638d1..00000000
--- a/build/commonjs/dom/types.js
+++ /dev/null
@@ -1,3 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-//# sourceMappingURL=types.js.map
\ No newline at end of file
diff --git a/build/commonjs/dom/types.js.map b/build/commonjs/dom/types.js.map
deleted file mode 100644
index 81849c01..00000000
--- a/build/commonjs/dom/types.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"types.js","sourceRoot":"","sources":["../../../src/dom/types.ts"],"names":[],"mappings":""}
\ No newline at end of file
diff --git a/build/commonjs/euclideanDistance.d.ts b/build/commonjs/euclideanDistance.d.ts
deleted file mode 100644
index d555de27..00000000
--- a/build/commonjs/euclideanDistance.d.ts
+++ /dev/null
@@ -1 +0,0 @@
-export declare function euclideanDistance(arr1: number[] | Float32Array, arr2: number[] | Float32Array): number;
diff --git a/build/commonjs/euclideanDistance.js b/build/commonjs/euclideanDistance.js
deleted file mode 100644
index e263610d..00000000
--- a/build/commonjs/euclideanDistance.js
+++ /dev/null
@@ -1,13 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-function euclideanDistance(arr1, arr2) {
- if (arr1.length !== arr2.length)
- throw new Error('euclideanDistance: arr1.length !== arr2.length');
- var desc1 = Array.from(arr1);
- var desc2 = Array.from(arr2);
- return Math.sqrt(desc1
- .map(function (val, i) { return val - desc2[i]; })
- .reduce(function (res, diff) { return res + Math.pow(diff, 2); }, 0));
-}
-exports.euclideanDistance = euclideanDistance;
-//# sourceMappingURL=euclideanDistance.js.map
\ No newline at end of file
diff --git a/build/commonjs/euclideanDistance.js.map b/build/commonjs/euclideanDistance.js.map
deleted file mode 100644
index 268173bf..00000000
--- a/build/commonjs/euclideanDistance.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"euclideanDistance.js","sourceRoot":"","sources":["../../src/euclideanDistance.ts"],"names":[],"mappings":";;AAAA,SAAgB,iBAAiB,CAAC,IAA6B,EAAE,IAA6B;IAC5F,IAAI,IAAI,CAAC,MAAM,KAAK,IAAI,CAAC,MAAM;QAC7B,MAAM,IAAI,KAAK,CAAC,gDAAgD,CAAC,CAAA;IAEnE,IAAM,KAAK,GAAG,KAAK,CAAC,IAAI,CAAC,IAAI,CAAC,CAAA;IAC9B,IAAM,KAAK,GAAG,KAAK,CAAC,IAAI,CAAC,IAAI,CAAC,CAAA;IAE9B,OAAO,IAAI,CAAC,IAAI,CACd,KAAK;SACF,GAAG,CAAC,UAAC,GAAG,EAAE,CAAC,IAAK,OAAA,GAAG,GAAG,KAAK,CAAC,CAAC,CAAC,EAAd,CAAc,CAAC;SAC/B,MAAM,CAAC,UAAC,GAAG,EAAE,IAAI,IAAK,OAAA,GAAG,GAAG,IAAI,CAAC,GAAG,CAAC,IAAI,EAAE,CAAC,CAAC,EAAvB,CAAuB,EAAE,CAAC,CAAC,CACrD,CAAA;AACH,CAAC;AAZD,8CAYC"}
\ No newline at end of file
diff --git a/build/commonjs/faceExpressionNet/FaceExpressionNet.d.ts b/build/commonjs/faceExpressionNet/FaceExpressionNet.d.ts
deleted file mode 100644
index c65e2801..00000000
--- a/build/commonjs/faceExpressionNet/FaceExpressionNet.d.ts
+++ /dev/null
@@ -1,17 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { NetInput, TNetInput } from 'tfjs-image-recognition-base';
-import { FaceFeatureExtractor } from '../faceFeatureExtractor/FaceFeatureExtractor';
-import { FaceFeatureExtractorParams } from '../faceFeatureExtractor/types';
-import { FaceProcessor } from '../faceProcessor/FaceProcessor';
-import { FaceExpressionPrediction } from './types';
-export declare class FaceExpressionNet extends FaceProcessor {
- static getFaceExpressionLabel(faceExpression: string): number;
- static decodeProbabilites(probabilities: number[] | Float32Array): FaceExpressionPrediction[];
- constructor(faceFeatureExtractor?: FaceFeatureExtractor);
- forwardInput(input: NetInput | tf.Tensor4D): tf.Tensor2D;
- forward(input: TNetInput): Promise;
- predictExpressions(input: TNetInput): Promise;
- protected getDefaultModelName(): string;
- protected getClassifierChannelsIn(): number;
- protected getClassifierChannelsOut(): number;
-}
diff --git a/build/commonjs/faceExpressionNet/FaceExpressionNet.js b/build/commonjs/faceExpressionNet/FaceExpressionNet.js
deleted file mode 100644
index 5509a965..00000000
--- a/build/commonjs/faceExpressionNet/FaceExpressionNet.js
+++ /dev/null
@@ -1,94 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-var tf = require("@tensorflow/tfjs-core");
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-var FaceFeatureExtractor_1 = require("../faceFeatureExtractor/FaceFeatureExtractor");
-var FaceProcessor_1 = require("../faceProcessor/FaceProcessor");
-var types_1 = require("./types");
-var FaceExpressionNet = /** @class */ (function (_super) {
- tslib_1.__extends(FaceExpressionNet, _super);
- function FaceExpressionNet(faceFeatureExtractor) {
- if (faceFeatureExtractor === void 0) { faceFeatureExtractor = new FaceFeatureExtractor_1.FaceFeatureExtractor(); }
- return _super.call(this, 'FaceExpressionNet', faceFeatureExtractor) || this;
- }
- FaceExpressionNet.getFaceExpressionLabel = function (faceExpression) {
- var label = types_1.faceExpressionLabels[faceExpression];
- if (typeof label !== 'number') {
- throw new Error("getFaceExpressionLabel - no label for faceExpression: " + faceExpression);
- }
- return label;
- };
- FaceExpressionNet.decodeProbabilites = function (probabilities) {
- if (probabilities.length !== 7) {
- throw new Error("decodeProbabilites - expected probabilities.length to be 7, have: " + probabilities.length);
- }
- return Object.keys(types_1.faceExpressionLabels)
- .map(function (expression) { return ({ expression: expression, probability: probabilities[types_1.faceExpressionLabels[expression]] }); });
- };
- FaceExpressionNet.prototype.forwardInput = function (input) {
- var _this = this;
- return tf.tidy(function () { return tf.softmax(_this.runNet(input)); });
- };
- FaceExpressionNet.prototype.forward = function (input) {
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- var _a;
- return tslib_1.__generator(this, function (_b) {
- switch (_b.label) {
- case 0:
- _a = this.forwardInput;
- return [4 /*yield*/, tfjs_image_recognition_base_1.toNetInput(input)];
- case 1: return [2 /*return*/, _a.apply(this, [_b.sent()])];
- }
- });
- });
- };
- FaceExpressionNet.prototype.predictExpressions = function (input) {
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- var netInput, out, probabilitesByBatch, predictionsByBatch;
- var _this = this;
- return tslib_1.__generator(this, function (_a) {
- switch (_a.label) {
- case 0: return [4 /*yield*/, tfjs_image_recognition_base_1.toNetInput(input)];
- case 1:
- netInput = _a.sent();
- return [4 /*yield*/, this.forwardInput(netInput)];
- case 2:
- out = _a.sent();
- return [4 /*yield*/, Promise.all(tf.unstack(out).map(function (t) { return tslib_1.__awaiter(_this, void 0, void 0, function () {
- var data;
- return tslib_1.__generator(this, function (_a) {
- switch (_a.label) {
- case 0: return [4 /*yield*/, t.data()];
- case 1:
- data = _a.sent();
- t.dispose();
- return [2 /*return*/, data];
- }
- });
- }); }))];
- case 3:
- probabilitesByBatch = _a.sent();
- out.dispose();
- predictionsByBatch = probabilitesByBatch
- .map(function (propablities) { return FaceExpressionNet.decodeProbabilites(propablities); });
- return [2 /*return*/, netInput.isBatchInput
- ? predictionsByBatch
- : predictionsByBatch[0]];
- }
- });
- });
- };
- FaceExpressionNet.prototype.getDefaultModelName = function () {
- return 'face_expression_model';
- };
- FaceExpressionNet.prototype.getClassifierChannelsIn = function () {
- return 256;
- };
- FaceExpressionNet.prototype.getClassifierChannelsOut = function () {
- return 7;
- };
- return FaceExpressionNet;
-}(FaceProcessor_1.FaceProcessor));
-exports.FaceExpressionNet = FaceExpressionNet;
-//# sourceMappingURL=FaceExpressionNet.js.map
\ No newline at end of file
diff --git a/build/commonjs/faceExpressionNet/FaceExpressionNet.js.map b/build/commonjs/faceExpressionNet/FaceExpressionNet.js.map
deleted file mode 100644
index a65ad4fe..00000000
--- a/build/commonjs/faceExpressionNet/FaceExpressionNet.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"FaceExpressionNet.js","sourceRoot":"","sources":["../../../src/faceExpressionNet/FaceExpressionNet.ts"],"names":[],"mappings":";;;AAAA,0CAA4C;AAC5C,2EAA8E;AAE9E,qFAAoF;AAEpF,gEAA+D;AAC/D,iCAAyF;AAEzF;IAAuC,6CAAyC;IAqB9E,2BAAY,oBAAuE;QAAvE,qCAAA,EAAA,2BAAiD,2CAAoB,EAAE;eACjF,kBAAM,mBAAmB,EAAE,oBAAoB,CAAC;IAClD,CAAC;IArBa,wCAAsB,GAApC,UAAqC,cAAsB;QACzD,IAAM,KAAK,GAAG,4BAAoB,CAAC,cAAc,CAAC,CAAA;QAElD,IAAI,OAAO,KAAK,KAAK,QAAQ,EAAE;YAC7B,MAAM,IAAI,KAAK,CAAC,2DAAyD,cAAgB,CAAC,CAAA;SAC3F;QAED,OAAO,KAAK,CAAA;IACd,CAAC;IAEa,oCAAkB,GAAhC,UAAiC,aAAsC;QACrE,IAAI,aAAa,CAAC,MAAM,KAAK,CAAC,EAAE;YAC9B,MAAM,IAAI,KAAK,CAAC,uEAAqE,aAAa,CAAC,MAAQ,CAAC,CAAA;SAC7G;QAED,OAAQ,MAAM,CAAC,IAAI,CAAC,4BAAoB,CAAsB;aAC3D,GAAG,CAAC,UAAA,UAAU,IAAI,OAAA,CAAC,EAAE,UAAU,YAAA,EAAE,WAAW,EAAE,aAAa,CAAC,4BAAoB,CAAC,UAAU,CAAC,CAAC,EAAE,CAAC,EAA9E,CAA8E,CAAC,CAAA;IACtG,CAAC;IAMM,wCAAY,GAAnB,UAAoB,KAA6B;QAAjD,iBAEC;QADC,OAAO,EAAE,CAAC,IAAI,CAAC,cAAM,OAAA,EAAE,CAAC,OAAO,CAAC,KAAI,CAAC,MAAM,CAAC,KAAK,CAAC,CAAC,EAA9B,CAA8B,CAAC,CAAA;IACtD,CAAC;IAEY,mCAAO,GAApB,UAAqB,KAAgB;;;;;;wBAC5B,KAAA,IAAI,CAAC,YAAY,CAAA;wBAAC,qBAAM,wCAAU,CAAC,KAAK,CAAC,EAAA;4BAAhD,sBAAO,SAAA,IAAI,GAAc,SAAuB,EAAC,EAAA;;;;KAClD;IAEY,8CAAkB,GAA/B,UAAgC,KAAgB;;;;;;4BAC7B,qBAAM,wCAAU,CAAC,KAAK,CAAC,EAAA;;wBAAlC,QAAQ,GAAG,SAAuB;wBAC5B,qBAAM,IAAI,CAAC,YAAY,CAAC,QAAQ,CAAC,EAAA;;wBAAvC,GAAG,GAAG,SAAiC;wBACjB,qBAAM,OAAO,CAAC,GAAG,CAAC,EAAE,CAAC,OAAO,CAAC,GAAG,CAAC,CAAC,GAAG,CAAC,UAAM,CAAC;;;;gDAC1D,qBAAM,CAAC,CAAC,IAAI,EAAE,EAAA;;4CAArB,IAAI,GAAG,SAAc;4CAC3B,CAAC,CAAC,OAAO,EAAE,CAAA;4CACX,sBAAO,IAAI,EAAA;;;iCACZ,CAAC,CAAC,EAAA;;wBAJG,mBAAmB,GAAG,SAIzB;wBACH,GAAG,CAAC,OAAO,EAAE,CAAA;wBAEP,kBAAkB,GAAG,mBAAmB;6BAC3C,GAAG,CAAC,UAAA,YAAY,IAAI,OAAA,iBAAiB,CAAC,kBAAkB,CAAC,YAA4B,CAAC,EAAlE,CAAkE,CAAC,CAAA;wBAE1F,sBAAO,QAAQ,CAAC,YAAY;gCAC1B,CAAC,CAAC,kBAAkB;gCACpB,CAAC,CAAC,kBAAkB,CAAC,CAAC,CAAC,EAAA;;;;KAC1B;IAES,+CAAmB,GAA7B;QACE,OAAO,uBAAuB,CAAA;IAChC,CAAC;IAES,mDAAuB,GAAjC;QACE,OAAO,GAAG,CAAA;IACZ,CAAC;IAES,oDAAwB,GAAlC;QACE,OAAO,CAAC,CAAA;IACV,CAAC;IACH,wBAAC;AAAD,CAAC,AA9DD,CAAuC,6BAAa,GA8DnD;AA9DY,8CAAiB"}
\ No newline at end of file
diff --git a/build/commonjs/faceExpressionNet/index.d.ts b/build/commonjs/faceExpressionNet/index.d.ts
deleted file mode 100644
index 1c3a169f..00000000
--- a/build/commonjs/faceExpressionNet/index.d.ts
+++ /dev/null
@@ -1,2 +0,0 @@
-export * from './FaceExpressionNet';
-export * from './types';
diff --git a/build/commonjs/faceExpressionNet/index.js b/build/commonjs/faceExpressionNet/index.js
deleted file mode 100644
index 5450aa1a..00000000
--- a/build/commonjs/faceExpressionNet/index.js
+++ /dev/null
@@ -1,6 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-tslib_1.__exportStar(require("./FaceExpressionNet"), exports);
-tslib_1.__exportStar(require("./types"), exports);
-//# sourceMappingURL=index.js.map
\ No newline at end of file
diff --git a/build/commonjs/faceExpressionNet/index.js.map b/build/commonjs/faceExpressionNet/index.js.map
deleted file mode 100644
index 95834800..00000000
--- a/build/commonjs/faceExpressionNet/index.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"index.js","sourceRoot":"","sources":["../../../src/faceExpressionNet/index.ts"],"names":[],"mappings":";;;AAAA,8DAAoC;AACpC,kDAAwB"}
\ No newline at end of file
diff --git a/build/commonjs/faceExpressionNet/types.d.ts b/build/commonjs/faceExpressionNet/types.d.ts
deleted file mode 100644
index 154e48b2..00000000
--- a/build/commonjs/faceExpressionNet/types.d.ts
+++ /dev/null
@@ -1,14 +0,0 @@
-export declare const faceExpressionLabels: {
- neutral: number;
- happy: number;
- sad: number;
- angry: number;
- fearful: number;
- disgusted: number;
- surprised: number;
-};
-export declare type FaceExpression = 'neutral' | 'happy' | 'sad' | 'angry' | 'fearful' | 'disgusted' | 'surprised';
-export declare type FaceExpressionPrediction = {
- expression: FaceExpression;
- probability: number;
-};
diff --git a/build/commonjs/faceExpressionNet/types.js b/build/commonjs/faceExpressionNet/types.js
deleted file mode 100644
index 45b3c35f..00000000
--- a/build/commonjs/faceExpressionNet/types.js
+++ /dev/null
@@ -1,12 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-exports.faceExpressionLabels = {
- neutral: 0,
- happy: 1,
- sad: 2,
- angry: 3,
- fearful: 4,
- disgusted: 5,
- surprised: 6
-};
-//# sourceMappingURL=types.js.map
\ No newline at end of file
diff --git a/build/commonjs/faceExpressionNet/types.js.map b/build/commonjs/faceExpressionNet/types.js.map
deleted file mode 100644
index 389bbe64..00000000
--- a/build/commonjs/faceExpressionNet/types.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"types.js","sourceRoot":"","sources":["../../../src/faceExpressionNet/types.ts"],"names":[],"mappings":";;AAAa,QAAA,oBAAoB,GAAG;IAClC,OAAO,EAAE,CAAC;IACV,KAAK,EAAE,CAAC;IACR,GAAG,EAAE,CAAC;IACN,KAAK,EAAE,CAAC;IACR,OAAO,EAAE,CAAC;IACV,SAAS,EAAE,CAAC;IACZ,SAAS,EAAC,CAAC;CACZ,CAAA"}
\ No newline at end of file
diff --git a/build/commonjs/faceFeatureExtractor/FaceFeatureExtractor.d.ts b/build/commonjs/faceFeatureExtractor/FaceFeatureExtractor.d.ts
deleted file mode 100644
index 35b86231..00000000
--- a/build/commonjs/faceFeatureExtractor/FaceFeatureExtractor.d.ts
+++ /dev/null
@@ -1,17 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { NetInput, NeuralNetwork, TNetInput } from 'tfjs-image-recognition-base';
-import { FaceFeatureExtractorParams, IFaceFeatureExtractor } from './types';
-export declare class FaceFeatureExtractor extends NeuralNetwork implements IFaceFeatureExtractor {
- constructor();
- forwardInput(input: NetInput): tf.Tensor4D;
- forward(input: TNetInput): Promise;
- protected getDefaultModelName(): string;
- protected extractParamsFromWeigthMap(weightMap: tf.NamedTensorMap): {
- params: FaceFeatureExtractorParams;
- paramMappings: import("tfjs-image-recognition-base/build/commonjs/common").ParamMapping[];
- };
- protected extractParams(weights: Float32Array): {
- params: FaceFeatureExtractorParams;
- paramMappings: import("tfjs-image-recognition-base/build/commonjs/common").ParamMapping[];
- };
-}
diff --git a/build/commonjs/faceFeatureExtractor/FaceFeatureExtractor.js b/build/commonjs/faceFeatureExtractor/FaceFeatureExtractor.js
deleted file mode 100644
index a2994c01..00000000
--- a/build/commonjs/faceFeatureExtractor/FaceFeatureExtractor.js
+++ /dev/null
@@ -1,56 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-var tf = require("@tensorflow/tfjs-core");
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-var denseBlock_1 = require("./denseBlock");
-var extractParams_1 = require("./extractParams");
-var extractParamsFromWeigthMap_1 = require("./extractParamsFromWeigthMap");
-var FaceFeatureExtractor = /** @class */ (function (_super) {
- tslib_1.__extends(FaceFeatureExtractor, _super);
- function FaceFeatureExtractor() {
- return _super.call(this, 'FaceFeatureExtractor') || this;
- }
- FaceFeatureExtractor.prototype.forwardInput = function (input) {
- var params = this.params;
- if (!params) {
- throw new Error('FaceFeatureExtractor - load model before inference');
- }
- return tf.tidy(function () {
- var batchTensor = input.toBatchTensor(112, true);
- var meanRgb = [122.782, 117.001, 104.298];
- var normalized = tfjs_image_recognition_base_1.normalize(batchTensor, meanRgb).div(tf.scalar(255));
- var out = denseBlock_1.denseBlock4(normalized, params.dense0, true);
- out = denseBlock_1.denseBlock4(out, params.dense1);
- out = denseBlock_1.denseBlock4(out, params.dense2);
- out = denseBlock_1.denseBlock4(out, params.dense3);
- out = tf.avgPool(out, [7, 7], [2, 2], 'valid');
- return out;
- });
- };
- FaceFeatureExtractor.prototype.forward = function (input) {
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- var _a;
- return tslib_1.__generator(this, function (_b) {
- switch (_b.label) {
- case 0:
- _a = this.forwardInput;
- return [4 /*yield*/, tfjs_image_recognition_base_1.toNetInput(input)];
- case 1: return [2 /*return*/, _a.apply(this, [_b.sent()])];
- }
- });
- });
- };
- FaceFeatureExtractor.prototype.getDefaultModelName = function () {
- return 'face_feature_extractor_model';
- };
- FaceFeatureExtractor.prototype.extractParamsFromWeigthMap = function (weightMap) {
- return extractParamsFromWeigthMap_1.extractParamsFromWeigthMap(weightMap);
- };
- FaceFeatureExtractor.prototype.extractParams = function (weights) {
- return extractParams_1.extractParams(weights);
- };
- return FaceFeatureExtractor;
-}(tfjs_image_recognition_base_1.NeuralNetwork));
-exports.FaceFeatureExtractor = FaceFeatureExtractor;
-//# sourceMappingURL=FaceFeatureExtractor.js.map
\ No newline at end of file
diff --git a/build/commonjs/faceFeatureExtractor/FaceFeatureExtractor.js.map b/build/commonjs/faceFeatureExtractor/FaceFeatureExtractor.js.map
deleted file mode 100644
index 5b75fc14..00000000
--- a/build/commonjs/faceFeatureExtractor/FaceFeatureExtractor.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"FaceFeatureExtractor.js","sourceRoot":"","sources":["../../../src/faceFeatureExtractor/FaceFeatureExtractor.ts"],"names":[],"mappings":";;;AAAA,0CAA4C;AAC5C,2EAAwG;AAExG,2CAA2C;AAC3C,iDAAgD;AAChD,2EAA0E;AAG1E;IAA0C,gDAAyC;IAEjF;eACE,kBAAM,sBAAsB,CAAC;IAC/B,CAAC;IAEM,2CAAY,GAAnB,UAAoB,KAAe;QAEzB,IAAA,oBAAM,CAAS;QAEvB,IAAI,CAAC,MAAM,EAAE;YACX,MAAM,IAAI,KAAK,CAAC,oDAAoD,CAAC,CAAA;SACtE;QAED,OAAO,EAAE,CAAC,IAAI,CAAC;YACb,IAAM,WAAW,GAAG,KAAK,CAAC,aAAa,CAAC,GAAG,EAAE,IAAI,CAAC,CAAA;YAClD,IAAM,OAAO,GAAG,CAAC,OAAO,EAAE,OAAO,EAAE,OAAO,CAAC,CAAA;YAC3C,IAAM,UAAU,GAAG,uCAAS,CAAC,WAAW,EAAE,OAAO,CAAC,CAAC,GAAG,CAAC,EAAE,CAAC,MAAM,CAAC,GAAG,CAAC,CAAgB,CAAA;YAErF,IAAI,GAAG,GAAG,wBAAW,CAAC,UAAU,EAAE,MAAM,CAAC,MAAM,EAAE,IAAI,CAAC,CAAA;YACtD,GAAG,GAAG,wBAAW,CAAC,GAAG,EAAE,MAAM,CAAC,MAAM,CAAC,CAAA;YACrC,GAAG,GAAG,wBAAW,CAAC,GAAG,EAAE,MAAM,CAAC,MAAM,CAAC,CAAA;YACrC,GAAG,GAAG,wBAAW,CAAC,GAAG,EAAE,MAAM,CAAC,MAAM,CAAC,CAAA;YACrC,GAAG,GAAG,EAAE,CAAC,OAAO,CAAC,GAAG,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,OAAO,CAAC,CAAA;YAE9C,OAAO,GAAG,CAAA;QACZ,CAAC,CAAC,CAAA;IACJ,CAAC;IAEY,sCAAO,GAApB,UAAqB,KAAgB;;;;;;wBAC5B,KAAA,IAAI,CAAC,YAAY,CAAA;wBAAC,qBAAM,wCAAU,CAAC,KAAK,CAAC,EAAA;4BAAhD,sBAAO,SAAA,IAAI,GAAc,SAAuB,EAAC,EAAA;;;;KAClD;IAES,kDAAmB,GAA7B;QACE,OAAO,8BAA8B,CAAA;IACvC,CAAC;IAES,yDAA0B,GAApC,UAAqC,SAA4B;QAC/D,OAAO,uDAA0B,CAAC,SAAS,CAAC,CAAA;IAC9C,CAAC;IAES,4CAAa,GAAvB,UAAwB,OAAqB;QAC3C,OAAO,6BAAa,CAAC,OAAO,CAAC,CAAA;IAC/B,CAAC;IACH,2BAAC;AAAD,CAAC,AA5CD,CAA0C,2CAAa,GA4CtD;AA5CY,oDAAoB"}
\ No newline at end of file
diff --git a/build/commonjs/faceFeatureExtractor/TinyFaceFeatureExtractor.d.ts b/build/commonjs/faceFeatureExtractor/TinyFaceFeatureExtractor.d.ts
deleted file mode 100644
index 4e9957ca..00000000
--- a/build/commonjs/faceFeatureExtractor/TinyFaceFeatureExtractor.d.ts
+++ /dev/null
@@ -1,17 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { NetInput, NeuralNetwork, TNetInput } from 'tfjs-image-recognition-base';
-import { IFaceFeatureExtractor, TinyFaceFeatureExtractorParams } from './types';
-export declare class TinyFaceFeatureExtractor extends NeuralNetwork implements IFaceFeatureExtractor {
- constructor();
- forwardInput(input: NetInput): tf.Tensor4D;
- forward(input: TNetInput): Promise;
- protected getDefaultModelName(): string;
- protected extractParamsFromWeigthMap(weightMap: tf.NamedTensorMap): {
- params: TinyFaceFeatureExtractorParams;
- paramMappings: import("tfjs-image-recognition-base/build/commonjs/common").ParamMapping[];
- };
- protected extractParams(weights: Float32Array): {
- params: TinyFaceFeatureExtractorParams;
- paramMappings: import("tfjs-image-recognition-base/build/commonjs/common").ParamMapping[];
- };
-}
diff --git a/build/commonjs/faceFeatureExtractor/TinyFaceFeatureExtractor.js b/build/commonjs/faceFeatureExtractor/TinyFaceFeatureExtractor.js
deleted file mode 100644
index e70f8cb3..00000000
--- a/build/commonjs/faceFeatureExtractor/TinyFaceFeatureExtractor.js
+++ /dev/null
@@ -1,55 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-var tf = require("@tensorflow/tfjs-core");
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-var denseBlock_1 = require("./denseBlock");
-var extractParamsFromWeigthMapTiny_1 = require("./extractParamsFromWeigthMapTiny");
-var extractParamsTiny_1 = require("./extractParamsTiny");
-var TinyFaceFeatureExtractor = /** @class */ (function (_super) {
- tslib_1.__extends(TinyFaceFeatureExtractor, _super);
- function TinyFaceFeatureExtractor() {
- return _super.call(this, 'TinyFaceFeatureExtractor') || this;
- }
- TinyFaceFeatureExtractor.prototype.forwardInput = function (input) {
- var params = this.params;
- if (!params) {
- throw new Error('TinyFaceFeatureExtractor - load model before inference');
- }
- return tf.tidy(function () {
- var batchTensor = input.toBatchTensor(112, true);
- var meanRgb = [122.782, 117.001, 104.298];
- var normalized = tfjs_image_recognition_base_1.normalize(batchTensor, meanRgb).div(tf.scalar(255));
- var out = denseBlock_1.denseBlock3(normalized, params.dense0, true);
- out = denseBlock_1.denseBlock3(out, params.dense1);
- out = denseBlock_1.denseBlock3(out, params.dense2);
- out = tf.avgPool(out, [14, 14], [2, 2], 'valid');
- return out;
- });
- };
- TinyFaceFeatureExtractor.prototype.forward = function (input) {
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- var _a;
- return tslib_1.__generator(this, function (_b) {
- switch (_b.label) {
- case 0:
- _a = this.forwardInput;
- return [4 /*yield*/, tfjs_image_recognition_base_1.toNetInput(input)];
- case 1: return [2 /*return*/, _a.apply(this, [_b.sent()])];
- }
- });
- });
- };
- TinyFaceFeatureExtractor.prototype.getDefaultModelName = function () {
- return 'face_feature_extractor_tiny_model';
- };
- TinyFaceFeatureExtractor.prototype.extractParamsFromWeigthMap = function (weightMap) {
- return extractParamsFromWeigthMapTiny_1.extractParamsFromWeigthMapTiny(weightMap);
- };
- TinyFaceFeatureExtractor.prototype.extractParams = function (weights) {
- return extractParamsTiny_1.extractParamsTiny(weights);
- };
- return TinyFaceFeatureExtractor;
-}(tfjs_image_recognition_base_1.NeuralNetwork));
-exports.TinyFaceFeatureExtractor = TinyFaceFeatureExtractor;
-//# sourceMappingURL=TinyFaceFeatureExtractor.js.map
\ No newline at end of file
diff --git a/build/commonjs/faceFeatureExtractor/TinyFaceFeatureExtractor.js.map b/build/commonjs/faceFeatureExtractor/TinyFaceFeatureExtractor.js.map
deleted file mode 100644
index e4659264..00000000
--- a/build/commonjs/faceFeatureExtractor/TinyFaceFeatureExtractor.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"TinyFaceFeatureExtractor.js","sourceRoot":"","sources":["../../../src/faceFeatureExtractor/TinyFaceFeatureExtractor.ts"],"names":[],"mappings":";;;AAAA,0CAA4C;AAC5C,2EAAwG;AAExG,2CAA2C;AAC3C,mFAAkF;AAClF,yDAAwD;AAGxD;IAA8C,oDAA6C;IAEzF;eACE,kBAAM,0BAA0B,CAAC;IACnC,CAAC;IAEM,+CAAY,GAAnB,UAAoB,KAAe;QAEzB,IAAA,oBAAM,CAAS;QAEvB,IAAI,CAAC,MAAM,EAAE;YACX,MAAM,IAAI,KAAK,CAAC,wDAAwD,CAAC,CAAA;SAC1E;QAED,OAAO,EAAE,CAAC,IAAI,CAAC;YACb,IAAM,WAAW,GAAG,KAAK,CAAC,aAAa,CAAC,GAAG,EAAE,IAAI,CAAC,CAAA;YAClD,IAAM,OAAO,GAAG,CAAC,OAAO,EAAE,OAAO,EAAE,OAAO,CAAC,CAAA;YAC3C,IAAM,UAAU,GAAG,uCAAS,CAAC,WAAW,EAAE,OAAO,CAAC,CAAC,GAAG,CAAC,EAAE,CAAC,MAAM,CAAC,GAAG,CAAC,CAAgB,CAAA;YAErF,IAAI,GAAG,GAAG,wBAAW,CAAC,UAAU,EAAE,MAAM,CAAC,MAAM,EAAE,IAAI,CAAC,CAAA;YACtD,GAAG,GAAG,wBAAW,CAAC,GAAG,EAAE,MAAM,CAAC,MAAM,CAAC,CAAA;YACrC,GAAG,GAAG,wBAAW,CAAC,GAAG,EAAE,MAAM,CAAC,MAAM,CAAC,CAAA;YACrC,GAAG,GAAG,EAAE,CAAC,OAAO,CAAC,GAAG,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,OAAO,CAAC,CAAA;YAEhD,OAAO,GAAG,CAAA;QACZ,CAAC,CAAC,CAAA;IACJ,CAAC;IAEY,0CAAO,GAApB,UAAqB,KAAgB;;;;;;wBAC5B,KAAA,IAAI,CAAC,YAAY,CAAA;wBAAC,qBAAM,wCAAU,CAAC,KAAK,CAAC,EAAA;4BAAhD,sBAAO,SAAA,IAAI,GAAc,SAAuB,EAAC,EAAA;;;;KAClD;IAES,sDAAmB,GAA7B;QACE,OAAO,mCAAmC,CAAA;IAC5C,CAAC;IAES,6DAA0B,GAApC,UAAqC,SAA4B;QAC/D,OAAO,+DAA8B,CAAC,SAAS,CAAC,CAAA;IAClD,CAAC;IAES,gDAAa,GAAvB,UAAwB,OAAqB;QAC3C,OAAO,qCAAiB,CAAC,OAAO,CAAC,CAAA;IACnC,CAAC;IACH,+BAAC;AAAD,CAAC,AA3CD,CAA8C,2CAAa,GA2C1D;AA3CY,4DAAwB"}
\ No newline at end of file
diff --git a/build/commonjs/faceFeatureExtractor/denseBlock.d.ts b/build/commonjs/faceFeatureExtractor/denseBlock.d.ts
deleted file mode 100644
index 685af3ba..00000000
--- a/build/commonjs/faceFeatureExtractor/denseBlock.d.ts
+++ /dev/null
@@ -1,4 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { DenseBlock3Params, DenseBlock4Params } from './types';
-export declare function denseBlock3(x: tf.Tensor4D, denseBlockParams: DenseBlock3Params, isFirstLayer?: boolean): tf.Tensor4D;
-export declare function denseBlock4(x: tf.Tensor4D, denseBlockParams: DenseBlock4Params, isFirstLayer?: boolean, isScaleDown?: boolean): tf.Tensor4D;
diff --git a/build/commonjs/faceFeatureExtractor/denseBlock.js b/build/commonjs/faceFeatureExtractor/denseBlock.js
deleted file mode 100644
index a04c4749..00000000
--- a/build/commonjs/faceFeatureExtractor/denseBlock.js
+++ /dev/null
@@ -1,34 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tf = require("@tensorflow/tfjs-core");
-var depthwiseSeparableConv_1 = require("./depthwiseSeparableConv");
-function denseBlock3(x, denseBlockParams, isFirstLayer) {
- if (isFirstLayer === void 0) { isFirstLayer = false; }
- return tf.tidy(function () {
- var out1 = tf.relu(isFirstLayer
- ? tf.add(tf.conv2d(x, denseBlockParams.conv0.filters, [2, 2], 'same'), denseBlockParams.conv0.bias)
- : depthwiseSeparableConv_1.depthwiseSeparableConv(x, denseBlockParams.conv0, [2, 2]));
- var out2 = depthwiseSeparableConv_1.depthwiseSeparableConv(out1, denseBlockParams.conv1, [1, 1]);
- var in3 = tf.relu(tf.add(out1, out2));
- var out3 = depthwiseSeparableConv_1.depthwiseSeparableConv(in3, denseBlockParams.conv2, [1, 1]);
- return tf.relu(tf.add(out1, tf.add(out2, out3)));
- });
-}
-exports.denseBlock3 = denseBlock3;
-function denseBlock4(x, denseBlockParams, isFirstLayer, isScaleDown) {
- if (isFirstLayer === void 0) { isFirstLayer = false; }
- if (isScaleDown === void 0) { isScaleDown = true; }
- return tf.tidy(function () {
- var out1 = tf.relu(isFirstLayer
- ? tf.add(tf.conv2d(x, denseBlockParams.conv0.filters, isScaleDown ? [2, 2] : [1, 1], 'same'), denseBlockParams.conv0.bias)
- : depthwiseSeparableConv_1.depthwiseSeparableConv(x, denseBlockParams.conv0, isScaleDown ? [2, 2] : [1, 1]));
- var out2 = depthwiseSeparableConv_1.depthwiseSeparableConv(out1, denseBlockParams.conv1, [1, 1]);
- var in3 = tf.relu(tf.add(out1, out2));
- var out3 = depthwiseSeparableConv_1.depthwiseSeparableConv(in3, denseBlockParams.conv2, [1, 1]);
- var in4 = tf.relu(tf.add(out1, tf.add(out2, out3)));
- var out4 = depthwiseSeparableConv_1.depthwiseSeparableConv(in4, denseBlockParams.conv3, [1, 1]);
- return tf.relu(tf.add(out1, tf.add(out2, tf.add(out3, out4))));
- });
-}
-exports.denseBlock4 = denseBlock4;
-//# sourceMappingURL=denseBlock.js.map
\ No newline at end of file
diff --git a/build/commonjs/faceFeatureExtractor/denseBlock.js.map b/build/commonjs/faceFeatureExtractor/denseBlock.js.map
deleted file mode 100644
index 377425b6..00000000
--- a/build/commonjs/faceFeatureExtractor/denseBlock.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"denseBlock.js","sourceRoot":"","sources":["../../../src/faceFeatureExtractor/denseBlock.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAG5C,mEAAkE;AAGlE,SAAgB,WAAW,CACzB,CAAc,EACd,gBAAmC,EACnC,YAA6B;IAA7B,6BAAA,EAAA,oBAA6B;IAE7B,OAAO,EAAE,CAAC,IAAI,CAAC;QACb,IAAM,IAAI,GAAG,EAAE,CAAC,IAAI,CAClB,YAAY;YACV,CAAC,CAAC,EAAE,CAAC,GAAG,CACN,EAAE,CAAC,MAAM,CAAC,CAAC,EAAG,gBAAgB,CAAC,KAA6C,CAAC,OAAO,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,MAAM,CAAC,EACrG,gBAAgB,CAAC,KAAK,CAAC,IAAI,CAC5B;YACD,CAAC,CAAC,+CAAsB,CAAC,CAAC,EAAE,gBAAgB,CAAC,KAAqD,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAC/F,CAAA;QAChB,IAAM,IAAI,GAAG,+CAAsB,CAAC,IAAI,EAAE,gBAAgB,CAAC,KAAK,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QAEzE,IAAM,GAAG,GAAG,EAAE,CAAC,IAAI,CAAC,EAAE,CAAC,GAAG,CAAC,IAAI,EAAE,IAAI,CAAC,CAAgB,CAAA;QACtD,IAAM,IAAI,GAAG,+CAAsB,CAAC,GAAG,EAAE,gBAAgB,CAAC,KAAK,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QAExE,OAAO,EAAE,CAAC,IAAI,CAAC,EAAE,CAAC,GAAG,CAAC,IAAI,EAAE,EAAE,CAAC,GAAG,CAAC,IAAI,EAAE,IAAI,CAAC,CAAC,CAAgB,CAAA;IACjE,CAAC,CAAC,CAAA;AACJ,CAAC;AArBD,kCAqBC;AAED,SAAgB,WAAW,CACzB,CAAc,EACd,gBAAmC,EACnC,YAA6B,EAC7B,WAA2B;IAD3B,6BAAA,EAAA,oBAA6B;IAC7B,4BAAA,EAAA,kBAA2B;IAE3B,OAAO,EAAE,CAAC,IAAI,CAAC;QACb,IAAM,IAAI,GAAG,EAAE,CAAC,IAAI,CAClB,YAAY;YACV,CAAC,CAAC,EAAE,CAAC,GAAG,CACN,EAAE,CAAC,MAAM,CAAC,CAAC,EAAG,gBAAgB,CAAC,KAA6C,CAAC,OAAO,EAAE,WAAW,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,MAAM,CAAC,EAC5H,gBAAgB,CAAC,KAAK,CAAC,IAAI,CAC5B;YACD,CAAC,CAAC,+CAAsB,CAAC,CAAC,EAAE,gBAAgB,CAAC,KAAqD,EAAE,WAAW,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CACtH,CAAA;QAChB,IAAM,IAAI,GAAG,+CAAsB,CAAC,IAAI,EAAE,gBAAgB,CAAC,KAAK,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QAEzE,IAAM,GAAG,GAAG,EAAE,CAAC,IAAI,CAAC,EAAE,CAAC,GAAG,CAAC,IAAI,EAAE,IAAI,CAAC,CAAgB,CAAA;QACtD,IAAM,IAAI,GAAG,+CAAsB,CAAC,GAAG,EAAE,gBAAgB,CAAC,KAAK,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QAExE,IAAM,GAAG,GAAG,EAAE,CAAC,IAAI,CAAC,EAAE,CAAC,GAAG,CAAC,IAAI,EAAE,EAAE,CAAC,GAAG,CAAC,IAAI,EAAE,IAAI,CAAC,CAAC,CAAgB,CAAA;QACpE,IAAM,IAAI,GAAG,+CAAsB,CAAC,GAAG,EAAE,gBAAgB,CAAC,KAAK,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QAExE,OAAO,EAAE,CAAC,IAAI,CAAC,EAAE,CAAC,GAAG,CAAC,IAAI,EAAE,EAAE,CAAC,GAAG,CAAC,IAAI,EAAE,EAAE,CAAC,GAAG,CAAC,IAAI,EAAE,IAAI,CAAC,CAAC,CAAC,CAAgB,CAAA;IAC/E,CAAC,CAAC,CAAA;AACJ,CAAC;AAzBD,kCAyBC"}
\ No newline at end of file
diff --git a/build/commonjs/faceFeatureExtractor/depthwiseSeparableConv.d.ts b/build/commonjs/faceFeatureExtractor/depthwiseSeparableConv.d.ts
deleted file mode 100644
index 10ada1a9..00000000
--- a/build/commonjs/faceFeatureExtractor/depthwiseSeparableConv.d.ts
+++ /dev/null
@@ -1,3 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-export declare function depthwiseSeparableConv(x: tf.Tensor4D, params: TfjsImageRecognitionBase.SeparableConvParams, stride: [number, number]): tf.Tensor4D;
diff --git a/build/commonjs/faceFeatureExtractor/depthwiseSeparableConv.js b/build/commonjs/faceFeatureExtractor/depthwiseSeparableConv.js
deleted file mode 100644
index 969f2522..00000000
--- a/build/commonjs/faceFeatureExtractor/depthwiseSeparableConv.js
+++ /dev/null
@@ -1,12 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tf = require("@tensorflow/tfjs-core");
-function depthwiseSeparableConv(x, params, stride) {
- return tf.tidy(function () {
- var out = tf.separableConv2d(x, params.depthwise_filter, params.pointwise_filter, stride, 'same');
- out = tf.add(out, params.bias);
- return out;
- });
-}
-exports.depthwiseSeparableConv = depthwiseSeparableConv;
-//# sourceMappingURL=depthwiseSeparableConv.js.map
\ No newline at end of file
diff --git a/build/commonjs/faceFeatureExtractor/depthwiseSeparableConv.js.map b/build/commonjs/faceFeatureExtractor/depthwiseSeparableConv.js.map
deleted file mode 100644
index 637d26ca..00000000
--- a/build/commonjs/faceFeatureExtractor/depthwiseSeparableConv.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"depthwiseSeparableConv.js","sourceRoot":"","sources":["../../../src/faceFeatureExtractor/depthwiseSeparableConv.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAG5C,SAAgB,sBAAsB,CACpC,CAAc,EACd,MAAoD,EACpD,MAAwB;IAExB,OAAO,EAAE,CAAC,IAAI,CAAC;QACb,IAAI,GAAG,GAAG,EAAE,CAAC,eAAe,CAAC,CAAC,EAAE,MAAM,CAAC,gBAAgB,EAAE,MAAM,CAAC,gBAAgB,EAAE,MAAM,EAAE,MAAM,CAAC,CAAA;QACjG,GAAG,GAAG,EAAE,CAAC,GAAG,CAAC,GAAG,EAAE,MAAM,CAAC,IAAI,CAAC,CAAA;QAC9B,OAAO,GAAG,CAAA;IACZ,CAAC,CAAC,CAAA;AACJ,CAAC;AAVD,wDAUC"}
\ No newline at end of file
diff --git a/build/commonjs/faceFeatureExtractor/extractParams.d.ts b/build/commonjs/faceFeatureExtractor/extractParams.d.ts
deleted file mode 100644
index acbea252..00000000
--- a/build/commonjs/faceFeatureExtractor/extractParams.d.ts
+++ /dev/null
@@ -1,6 +0,0 @@
-import { FaceFeatureExtractorParams } from './types';
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-export declare function extractParams(weights: Float32Array): {
- params: FaceFeatureExtractorParams;
- paramMappings: TfjsImageRecognitionBase.ParamMapping[];
-};
diff --git a/build/commonjs/faceFeatureExtractor/extractParams.js b/build/commonjs/faceFeatureExtractor/extractParams.js
deleted file mode 100644
index c0fac2ad..00000000
--- a/build/commonjs/faceFeatureExtractor/extractParams.js
+++ /dev/null
@@ -1,22 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var extractorsFactory_1 = require("./extractorsFactory");
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-function extractParams(weights) {
- var paramMappings = [];
- var _a = tfjs_image_recognition_base_1.TfjsImageRecognitionBase.extractWeightsFactory(weights), extractWeights = _a.extractWeights, getRemainingWeights = _a.getRemainingWeights;
- var extractDenseBlock4Params = extractorsFactory_1.extractorsFactory(extractWeights, paramMappings).extractDenseBlock4Params;
- var dense0 = extractDenseBlock4Params(3, 32, 'dense0', true);
- var dense1 = extractDenseBlock4Params(32, 64, 'dense1');
- var dense2 = extractDenseBlock4Params(64, 128, 'dense2');
- var dense3 = extractDenseBlock4Params(128, 256, 'dense3');
- if (getRemainingWeights().length !== 0) {
- throw new Error("weights remaing after extract: " + getRemainingWeights().length);
- }
- return {
- paramMappings: paramMappings,
- params: { dense0: dense0, dense1: dense1, dense2: dense2, dense3: dense3 }
- };
-}
-exports.extractParams = extractParams;
-//# sourceMappingURL=extractParams.js.map
\ No newline at end of file
diff --git a/build/commonjs/faceFeatureExtractor/extractParams.js.map b/build/commonjs/faceFeatureExtractor/extractParams.js.map
deleted file mode 100644
index e6a02adb..00000000
--- a/build/commonjs/faceFeatureExtractor/extractParams.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"extractParams.js","sourceRoot":"","sources":["../../../src/faceFeatureExtractor/extractParams.ts"],"names":[],"mappings":";;AACA,yDAAwD;AAExD,2EAAuE;AAEvE,SAAgB,aAAa,CAAC,OAAqB;IAEjD,IAAM,aAAa,GAA4C,EAAE,CAAA;IAE3D,IAAA,0FAGqD,EAFzD,kCAAc,EACd,4CACyD,CAAA;IAGzD,IAAA,wHAAwB,CAC0B;IAEpD,IAAM,MAAM,GAAG,wBAAwB,CAAC,CAAC,EAAE,EAAE,EAAE,QAAQ,EAAE,IAAI,CAAC,CAAA;IAC9D,IAAM,MAAM,GAAG,wBAAwB,CAAC,EAAE,EAAE,EAAE,EAAE,QAAQ,CAAC,CAAA;IACzD,IAAM,MAAM,GAAG,wBAAwB,CAAC,EAAE,EAAE,GAAG,EAAE,QAAQ,CAAC,CAAA;IAC1D,IAAM,MAAM,GAAG,wBAAwB,CAAC,GAAG,EAAE,GAAG,EAAE,QAAQ,CAAC,CAAA;IAE3D,IAAI,mBAAmB,EAAE,CAAC,MAAM,KAAK,CAAC,EAAE;QACtC,MAAM,IAAI,KAAK,CAAC,oCAAkC,mBAAmB,EAAE,CAAC,MAAQ,CAAC,CAAA;KAClF;IAED,OAAO;QACL,aAAa,eAAA;QACb,MAAM,EAAE,EAAE,MAAM,QAAA,EAAE,MAAM,QAAA,EAAE,MAAM,QAAA,EAAE,MAAM,QAAA,EAAE;KAC3C,CAAA;AACH,CAAC;AA1BD,sCA0BC"}
\ No newline at end of file
diff --git a/build/commonjs/faceFeatureExtractor/extractParamsFromWeigthMap.d.ts b/build/commonjs/faceFeatureExtractor/extractParamsFromWeigthMap.d.ts
deleted file mode 100644
index 5c964fcc..00000000
--- a/build/commonjs/faceFeatureExtractor/extractParamsFromWeigthMap.d.ts
+++ /dev/null
@@ -1,7 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-import { FaceFeatureExtractorParams } from './types';
-export declare function extractParamsFromWeigthMap(weightMap: tf.NamedTensorMap): {
- params: FaceFeatureExtractorParams;
- paramMappings: TfjsImageRecognitionBase.ParamMapping[];
-};
diff --git a/build/commonjs/faceFeatureExtractor/extractParamsFromWeigthMap.js b/build/commonjs/faceFeatureExtractor/extractParamsFromWeigthMap.js
deleted file mode 100644
index 63408600..00000000
--- a/build/commonjs/faceFeatureExtractor/extractParamsFromWeigthMap.js
+++ /dev/null
@@ -1,18 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-var loadParamsFactory_1 = require("./loadParamsFactory");
-function extractParamsFromWeigthMap(weightMap) {
- var paramMappings = [];
- var extractDenseBlock4Params = loadParamsFactory_1.loadParamsFactory(weightMap, paramMappings).extractDenseBlock4Params;
- var params = {
- dense0: extractDenseBlock4Params('dense0', true),
- dense1: extractDenseBlock4Params('dense1'),
- dense2: extractDenseBlock4Params('dense2'),
- dense3: extractDenseBlock4Params('dense3')
- };
- tfjs_image_recognition_base_1.TfjsImageRecognitionBase.disposeUnusedWeightTensors(weightMap, paramMappings);
- return { params: params, paramMappings: paramMappings };
-}
-exports.extractParamsFromWeigthMap = extractParamsFromWeigthMap;
-//# sourceMappingURL=extractParamsFromWeigthMap.js.map
\ No newline at end of file
diff --git a/build/commonjs/faceFeatureExtractor/extractParamsFromWeigthMap.js.map b/build/commonjs/faceFeatureExtractor/extractParamsFromWeigthMap.js.map
deleted file mode 100644
index 1aa7ee06..00000000
--- a/build/commonjs/faceFeatureExtractor/extractParamsFromWeigthMap.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"extractParamsFromWeigthMap.js","sourceRoot":"","sources":["../../../src/faceFeatureExtractor/extractParamsFromWeigthMap.ts"],"names":[],"mappings":";;AACA,2EAAuE;AAEvE,yDAAwD;AAGxD,SAAgB,0BAA0B,CACxC,SAA4B;IAG5B,IAAM,aAAa,GAA4C,EAAE,CAAA;IAG/D,IAAA,mHAAwB,CACqB;IAE/C,IAAM,MAAM,GAAG;QACb,MAAM,EAAE,wBAAwB,CAAC,QAAQ,EAAE,IAAI,CAAC;QAChD,MAAM,EAAE,wBAAwB,CAAC,QAAQ,CAAC;QAC1C,MAAM,EAAE,wBAAwB,CAAC,QAAQ,CAAC;QAC1C,MAAM,EAAE,wBAAwB,CAAC,QAAQ,CAAC;KAC3C,CAAA;IAED,sDAAwB,CAAC,0BAA0B,CAAC,SAAS,EAAE,aAAa,CAAC,CAAA;IAE7E,OAAO,EAAE,MAAM,QAAA,EAAE,aAAa,eAAA,EAAE,CAAA;AAClC,CAAC;AApBD,gEAoBC"}
\ No newline at end of file
diff --git a/build/commonjs/faceFeatureExtractor/extractParamsFromWeigthMapTiny.d.ts b/build/commonjs/faceFeatureExtractor/extractParamsFromWeigthMapTiny.d.ts
deleted file mode 100644
index 7d597dd2..00000000
--- a/build/commonjs/faceFeatureExtractor/extractParamsFromWeigthMapTiny.d.ts
+++ /dev/null
@@ -1,7 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-import { TinyFaceFeatureExtractorParams } from './types';
-export declare function extractParamsFromWeigthMapTiny(weightMap: tf.NamedTensorMap): {
- params: TinyFaceFeatureExtractorParams;
- paramMappings: TfjsImageRecognitionBase.ParamMapping[];
-};
diff --git a/build/commonjs/faceFeatureExtractor/extractParamsFromWeigthMapTiny.js b/build/commonjs/faceFeatureExtractor/extractParamsFromWeigthMapTiny.js
deleted file mode 100644
index 51ef4701..00000000
--- a/build/commonjs/faceFeatureExtractor/extractParamsFromWeigthMapTiny.js
+++ /dev/null
@@ -1,17 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-var loadParamsFactory_1 = require("./loadParamsFactory");
-function extractParamsFromWeigthMapTiny(weightMap) {
- var paramMappings = [];
- var extractDenseBlock3Params = loadParamsFactory_1.loadParamsFactory(weightMap, paramMappings).extractDenseBlock3Params;
- var params = {
- dense0: extractDenseBlock3Params('dense0', true),
- dense1: extractDenseBlock3Params('dense1'),
- dense2: extractDenseBlock3Params('dense2')
- };
- tfjs_image_recognition_base_1.TfjsImageRecognitionBase.disposeUnusedWeightTensors(weightMap, paramMappings);
- return { params: params, paramMappings: paramMappings };
-}
-exports.extractParamsFromWeigthMapTiny = extractParamsFromWeigthMapTiny;
-//# sourceMappingURL=extractParamsFromWeigthMapTiny.js.map
\ No newline at end of file
diff --git a/build/commonjs/faceFeatureExtractor/extractParamsFromWeigthMapTiny.js.map b/build/commonjs/faceFeatureExtractor/extractParamsFromWeigthMapTiny.js.map
deleted file mode 100644
index 6ce31f00..00000000
--- a/build/commonjs/faceFeatureExtractor/extractParamsFromWeigthMapTiny.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"extractParamsFromWeigthMapTiny.js","sourceRoot":"","sources":["../../../src/faceFeatureExtractor/extractParamsFromWeigthMapTiny.ts"],"names":[],"mappings":";;AACA,2EAAuE;AAEvE,yDAAwD;AAGxD,SAAgB,8BAA8B,CAC5C,SAA4B;IAG5B,IAAM,aAAa,GAA4C,EAAE,CAAA;IAG/D,IAAA,mHAAwB,CACqB;IAE/C,IAAM,MAAM,GAAG;QACb,MAAM,EAAE,wBAAwB,CAAC,QAAQ,EAAE,IAAI,CAAC;QAChD,MAAM,EAAE,wBAAwB,CAAC,QAAQ,CAAC;QAC1C,MAAM,EAAE,wBAAwB,CAAC,QAAQ,CAAC;KAC3C,CAAA;IAED,sDAAwB,CAAC,0BAA0B,CAAC,SAAS,EAAE,aAAa,CAAC,CAAA;IAE7E,OAAO,EAAE,MAAM,QAAA,EAAE,aAAa,eAAA,EAAE,CAAA;AAClC,CAAC;AAnBD,wEAmBC"}
\ No newline at end of file
diff --git a/build/commonjs/faceFeatureExtractor/extractParamsTiny.d.ts b/build/commonjs/faceFeatureExtractor/extractParamsTiny.d.ts
deleted file mode 100644
index 4f623185..00000000
--- a/build/commonjs/faceFeatureExtractor/extractParamsTiny.d.ts
+++ /dev/null
@@ -1,6 +0,0 @@
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-import { TinyFaceFeatureExtractorParams } from './types';
-export declare function extractParamsTiny(weights: Float32Array): {
- params: TinyFaceFeatureExtractorParams;
- paramMappings: TfjsImageRecognitionBase.ParamMapping[];
-};
diff --git a/build/commonjs/faceFeatureExtractor/extractParamsTiny.js b/build/commonjs/faceFeatureExtractor/extractParamsTiny.js
deleted file mode 100644
index e32869d9..00000000
--- a/build/commonjs/faceFeatureExtractor/extractParamsTiny.js
+++ /dev/null
@@ -1,21 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-var extractorsFactory_1 = require("./extractorsFactory");
-function extractParamsTiny(weights) {
- var paramMappings = [];
- var _a = tfjs_image_recognition_base_1.TfjsImageRecognitionBase.extractWeightsFactory(weights), extractWeights = _a.extractWeights, getRemainingWeights = _a.getRemainingWeights;
- var extractDenseBlock3Params = extractorsFactory_1.extractorsFactory(extractWeights, paramMappings).extractDenseBlock3Params;
- var dense0 = extractDenseBlock3Params(3, 32, 'dense0', true);
- var dense1 = extractDenseBlock3Params(32, 64, 'dense1');
- var dense2 = extractDenseBlock3Params(64, 128, 'dense2');
- if (getRemainingWeights().length !== 0) {
- throw new Error("weights remaing after extract: " + getRemainingWeights().length);
- }
- return {
- paramMappings: paramMappings,
- params: { dense0: dense0, dense1: dense1, dense2: dense2 }
- };
-}
-exports.extractParamsTiny = extractParamsTiny;
-//# sourceMappingURL=extractParamsTiny.js.map
\ No newline at end of file
diff --git a/build/commonjs/faceFeatureExtractor/extractParamsTiny.js.map b/build/commonjs/faceFeatureExtractor/extractParamsTiny.js.map
deleted file mode 100644
index 3cbc7cef..00000000
--- a/build/commonjs/faceFeatureExtractor/extractParamsTiny.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"extractParamsTiny.js","sourceRoot":"","sources":["../../../src/faceFeatureExtractor/extractParamsTiny.ts"],"names":[],"mappings":";;AAAA,2EAAuE;AAEvE,yDAAwD;AAIxD,SAAgB,iBAAiB,CAAC,OAAqB;IAErD,IAAM,aAAa,GAA4C,EAAE,CAAA;IAE3D,IAAA,0FAGqD,EAFzD,kCAAc,EACd,4CACyD,CAAA;IAGzD,IAAA,wHAAwB,CAC0B;IAEpD,IAAM,MAAM,GAAG,wBAAwB,CAAC,CAAC,EAAE,EAAE,EAAE,QAAQ,EAAE,IAAI,CAAC,CAAA;IAC9D,IAAM,MAAM,GAAG,wBAAwB,CAAC,EAAE,EAAE,EAAE,EAAE,QAAQ,CAAC,CAAA;IACzD,IAAM,MAAM,GAAG,wBAAwB,CAAC,EAAE,EAAE,GAAG,EAAE,QAAQ,CAAC,CAAA;IAE1D,IAAI,mBAAmB,EAAE,CAAC,MAAM,KAAK,CAAC,EAAE;QACtC,MAAM,IAAI,KAAK,CAAC,oCAAkC,mBAAmB,EAAE,CAAC,MAAQ,CAAC,CAAA;KAClF;IAED,OAAO;QACL,aAAa,eAAA;QACb,MAAM,EAAE,EAAE,MAAM,QAAA,EAAE,MAAM,QAAA,EAAE,MAAM,QAAA,EAAE;KACnC,CAAA;AACH,CAAC;AAzBD,8CAyBC"}
\ No newline at end of file
diff --git a/build/commonjs/faceFeatureExtractor/extractorsFactory.d.ts b/build/commonjs/faceFeatureExtractor/extractorsFactory.d.ts
deleted file mode 100644
index 2c86c09e..00000000
--- a/build/commonjs/faceFeatureExtractor/extractorsFactory.d.ts
+++ /dev/null
@@ -1,6 +0,0 @@
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-import { DenseBlock3Params, DenseBlock4Params } from './types';
-export declare function extractorsFactory(extractWeights: TfjsImageRecognitionBase.ExtractWeightsFunction, paramMappings: TfjsImageRecognitionBase.ParamMapping[]): {
- extractDenseBlock3Params: (channelsIn: number, channelsOut: number, mappedPrefix: string, isFirstLayer?: boolean) => DenseBlock3Params;
- extractDenseBlock4Params: (channelsIn: number, channelsOut: number, mappedPrefix: string, isFirstLayer?: boolean) => DenseBlock4Params;
-};
diff --git a/build/commonjs/faceFeatureExtractor/extractorsFactory.js b/build/commonjs/faceFeatureExtractor/extractorsFactory.js
deleted file mode 100644
index bcf11d38..00000000
--- a/build/commonjs/faceFeatureExtractor/extractorsFactory.js
+++ /dev/null
@@ -1,35 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tf = require("@tensorflow/tfjs-core");
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-function extractorsFactory(extractWeights, paramMappings) {
- function extractSeparableConvParams(channelsIn, channelsOut, mappedPrefix) {
- var depthwise_filter = tf.tensor4d(extractWeights(3 * 3 * channelsIn), [3, 3, channelsIn, 1]);
- var pointwise_filter = tf.tensor4d(extractWeights(channelsIn * channelsOut), [1, 1, channelsIn, channelsOut]);
- var bias = tf.tensor1d(extractWeights(channelsOut));
- paramMappings.push({ paramPath: mappedPrefix + "/depthwise_filter" }, { paramPath: mappedPrefix + "/pointwise_filter" }, { paramPath: mappedPrefix + "/bias" });
- return new tfjs_image_recognition_base_1.TfjsImageRecognitionBase.SeparableConvParams(depthwise_filter, pointwise_filter, bias);
- }
- var extractConvParams = tfjs_image_recognition_base_1.TfjsImageRecognitionBase.extractConvParamsFactory(extractWeights, paramMappings);
- function extractDenseBlock3Params(channelsIn, channelsOut, mappedPrefix, isFirstLayer) {
- if (isFirstLayer === void 0) { isFirstLayer = false; }
- var conv0 = isFirstLayer
- ? extractConvParams(channelsIn, channelsOut, 3, mappedPrefix + "/conv0")
- : extractSeparableConvParams(channelsIn, channelsOut, mappedPrefix + "/conv0");
- var conv1 = extractSeparableConvParams(channelsOut, channelsOut, mappedPrefix + "/conv1");
- var conv2 = extractSeparableConvParams(channelsOut, channelsOut, mappedPrefix + "/conv2");
- return { conv0: conv0, conv1: conv1, conv2: conv2 };
- }
- function extractDenseBlock4Params(channelsIn, channelsOut, mappedPrefix, isFirstLayer) {
- if (isFirstLayer === void 0) { isFirstLayer = false; }
- var _a = extractDenseBlock3Params(channelsIn, channelsOut, mappedPrefix, isFirstLayer), conv0 = _a.conv0, conv1 = _a.conv1, conv2 = _a.conv2;
- var conv3 = extractSeparableConvParams(channelsOut, channelsOut, mappedPrefix + "/conv3");
- return { conv0: conv0, conv1: conv1, conv2: conv2, conv3: conv3 };
- }
- return {
- extractDenseBlock3Params: extractDenseBlock3Params,
- extractDenseBlock4Params: extractDenseBlock4Params
- };
-}
-exports.extractorsFactory = extractorsFactory;
-//# sourceMappingURL=extractorsFactory.js.map
\ No newline at end of file
diff --git a/build/commonjs/faceFeatureExtractor/extractorsFactory.js.map b/build/commonjs/faceFeatureExtractor/extractorsFactory.js.map
deleted file mode 100644
index 1606efd6..00000000
--- a/build/commonjs/faceFeatureExtractor/extractorsFactory.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"extractorsFactory.js","sourceRoot":"","sources":["../../../src/faceFeatureExtractor/extractorsFactory.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAC5C,2EAAuE;AAIvE,SAAgB,iBAAiB,CAAC,cAA+D,EAAE,aAAsD;IAEvJ,SAAS,0BAA0B,CAAC,UAAkB,EAAE,WAAmB,EAAE,YAAoB;QAC/F,IAAM,gBAAgB,GAAG,EAAE,CAAC,QAAQ,CAAC,cAAc,CAAC,CAAC,GAAG,CAAC,GAAG,UAAU,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,UAAU,EAAE,CAAC,CAAC,CAAC,CAAA;QAC/F,IAAM,gBAAgB,GAAG,EAAE,CAAC,QAAQ,CAAC,cAAc,CAAC,UAAU,GAAG,WAAW,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,UAAU,EAAE,WAAW,CAAC,CAAC,CAAA;QAC/G,IAAM,IAAI,GAAG,EAAE,CAAC,QAAQ,CAAC,cAAc,CAAC,WAAW,CAAC,CAAC,CAAA;QAErD,aAAa,CAAC,IAAI,CAChB,EAAE,SAAS,EAAK,YAAY,sBAAmB,EAAE,EACjD,EAAE,SAAS,EAAK,YAAY,sBAAmB,EAAE,EACjD,EAAE,SAAS,EAAK,YAAY,UAAO,EAAE,CACtC,CAAA;QAED,OAAO,IAAI,sDAAwB,CAAC,mBAAmB,CACrD,gBAAgB,EAChB,gBAAgB,EAChB,IAAI,CACL,CAAA;IACH,CAAC;IAED,IAAM,iBAAiB,GAAG,sDAAwB,CAAC,wBAAwB,CAAC,cAAc,EAAE,aAAa,CAAC,CAAA;IAE1G,SAAS,wBAAwB,CAAC,UAAkB,EAAE,WAAmB,EAAE,YAAoB,EAAE,YAA6B;QAA7B,6BAAA,EAAA,oBAA6B;QAE5H,IAAM,KAAK,GAAG,YAAY;YACxB,CAAC,CAAC,iBAAiB,CAAC,UAAU,EAAE,WAAW,EAAE,CAAC,EAAK,YAAY,WAAQ,CAAC;YACxE,CAAC,CAAC,0BAA0B,CAAC,UAAU,EAAE,WAAW,EAAK,YAAY,WAAQ,CAAC,CAAA;QAChF,IAAM,KAAK,GAAG,0BAA0B,CAAC,WAAW,EAAE,WAAW,EAAK,YAAY,WAAQ,CAAC,CAAA;QAC3F,IAAM,KAAK,GAAG,0BAA0B,CAAC,WAAW,EAAE,WAAW,EAAK,YAAY,WAAQ,CAAC,CAAA;QAE3F,OAAO,EAAE,KAAK,OAAA,EAAE,KAAK,OAAA,EAAE,KAAK,OAAA,EAAE,CAAA;IAChC,CAAC;IAED,SAAS,wBAAwB,CAAC,UAAkB,EAAE,WAAmB,EAAE,YAAoB,EAAE,YAA6B;QAA7B,6BAAA,EAAA,oBAA6B;QAEtH,IAAA,kFAAuG,EAArG,gBAAK,EAAE,gBAAK,EAAE,gBAAuF,CAAA;QAC7G,IAAM,KAAK,GAAG,0BAA0B,CAAC,WAAW,EAAE,WAAW,EAAK,YAAY,WAAQ,CAAC,CAAA;QAE3F,OAAO,EAAE,KAAK,OAAA,EAAE,KAAK,OAAA,EAAE,KAAK,OAAA,EAAE,KAAK,OAAA,EAAE,CAAA;IACvC,CAAC;IAED,OAAO;QACL,wBAAwB,0BAAA;QACxB,wBAAwB,0BAAA;KACzB,CAAA;AAEH,CAAC;AA9CD,8CA8CC"}
\ No newline at end of file
diff --git a/build/commonjs/faceFeatureExtractor/index.d.ts b/build/commonjs/faceFeatureExtractor/index.d.ts
deleted file mode 100644
index 99061f84..00000000
--- a/build/commonjs/faceFeatureExtractor/index.d.ts
+++ /dev/null
@@ -1,2 +0,0 @@
-export * from './FaceFeatureExtractor';
-export * from './TinyFaceFeatureExtractor';
diff --git a/build/commonjs/faceFeatureExtractor/index.js b/build/commonjs/faceFeatureExtractor/index.js
deleted file mode 100644
index 3debcd72..00000000
--- a/build/commonjs/faceFeatureExtractor/index.js
+++ /dev/null
@@ -1,6 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-tslib_1.__exportStar(require("./FaceFeatureExtractor"), exports);
-tslib_1.__exportStar(require("./TinyFaceFeatureExtractor"), exports);
-//# sourceMappingURL=index.js.map
\ No newline at end of file
diff --git a/build/commonjs/faceFeatureExtractor/index.js.map b/build/commonjs/faceFeatureExtractor/index.js.map
deleted file mode 100644
index 3206c516..00000000
--- a/build/commonjs/faceFeatureExtractor/index.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"index.js","sourceRoot":"","sources":["../../../src/faceFeatureExtractor/index.ts"],"names":[],"mappings":";;;AAAA,iEAAuC;AACvC,qEAA2C"}
\ No newline at end of file
diff --git a/build/commonjs/faceFeatureExtractor/loadParamsFactory.d.ts b/build/commonjs/faceFeatureExtractor/loadParamsFactory.d.ts
deleted file mode 100644
index eb88164e..00000000
--- a/build/commonjs/faceFeatureExtractor/loadParamsFactory.d.ts
+++ /dev/null
@@ -1,6 +0,0 @@
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-import { DenseBlock3Params, DenseBlock4Params } from './types';
-export declare function loadParamsFactory(weightMap: any, paramMappings: TfjsImageRecognitionBase.ParamMapping[]): {
- extractDenseBlock3Params: (prefix: string, isFirstLayer?: boolean) => DenseBlock3Params;
- extractDenseBlock4Params: (prefix: string, isFirstLayer?: boolean) => DenseBlock4Params;
-};
diff --git a/build/commonjs/faceFeatureExtractor/loadParamsFactory.js b/build/commonjs/faceFeatureExtractor/loadParamsFactory.js
deleted file mode 100644
index cc5ff761..00000000
--- a/build/commonjs/faceFeatureExtractor/loadParamsFactory.js
+++ /dev/null
@@ -1,42 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-function loadParamsFactory(weightMap, paramMappings) {
- var extractWeightEntry = tfjs_image_recognition_base_1.TfjsImageRecognitionBase.extractWeightEntryFactory(weightMap, paramMappings);
- function extractConvParams(prefix) {
- var filters = extractWeightEntry(prefix + "/filters", 4);
- var bias = extractWeightEntry(prefix + "/bias", 1);
- return { filters: filters, bias: bias };
- }
- function extractSeparableConvParams(prefix) {
- var depthwise_filter = extractWeightEntry(prefix + "/depthwise_filter", 4);
- var pointwise_filter = extractWeightEntry(prefix + "/pointwise_filter", 4);
- var bias = extractWeightEntry(prefix + "/bias", 1);
- return new tfjs_image_recognition_base_1.TfjsImageRecognitionBase.SeparableConvParams(depthwise_filter, pointwise_filter, bias);
- }
- function extractDenseBlock3Params(prefix, isFirstLayer) {
- if (isFirstLayer === void 0) { isFirstLayer = false; }
- var conv0 = isFirstLayer
- ? extractConvParams(prefix + "/conv0")
- : extractSeparableConvParams(prefix + "/conv0");
- var conv1 = extractSeparableConvParams(prefix + "/conv1");
- var conv2 = extractSeparableConvParams(prefix + "/conv2");
- return { conv0: conv0, conv1: conv1, conv2: conv2 };
- }
- function extractDenseBlock4Params(prefix, isFirstLayer) {
- if (isFirstLayer === void 0) { isFirstLayer = false; }
- var conv0 = isFirstLayer
- ? extractConvParams(prefix + "/conv0")
- : extractSeparableConvParams(prefix + "/conv0");
- var conv1 = extractSeparableConvParams(prefix + "/conv1");
- var conv2 = extractSeparableConvParams(prefix + "/conv2");
- var conv3 = extractSeparableConvParams(prefix + "/conv3");
- return { conv0: conv0, conv1: conv1, conv2: conv2, conv3: conv3 };
- }
- return {
- extractDenseBlock3Params: extractDenseBlock3Params,
- extractDenseBlock4Params: extractDenseBlock4Params
- };
-}
-exports.loadParamsFactory = loadParamsFactory;
-//# sourceMappingURL=loadParamsFactory.js.map
\ No newline at end of file
diff --git a/build/commonjs/faceFeatureExtractor/loadParamsFactory.js.map b/build/commonjs/faceFeatureExtractor/loadParamsFactory.js.map
deleted file mode 100644
index 87008c36..00000000
--- a/build/commonjs/faceFeatureExtractor/loadParamsFactory.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"loadParamsFactory.js","sourceRoot":"","sources":["../../../src/faceFeatureExtractor/loadParamsFactory.ts"],"names":[],"mappings":";;AACA,2EAAuE;AAIvE,SAAgB,iBAAiB,CAAC,SAAc,EAAE,aAAsD;IAEtG,IAAM,kBAAkB,GAAG,sDAAwB,CAAC,yBAAyB,CAAC,SAAS,EAAE,aAAa,CAAC,CAAA;IAEvG,SAAS,iBAAiB,CAAC,MAAc;QACvC,IAAM,OAAO,GAAG,kBAAkB,CAAiB,MAAM,aAAU,EAAE,CAAC,CAAC,CAAA;QACvE,IAAM,IAAI,GAAG,kBAAkB,CAAiB,MAAM,UAAO,EAAE,CAAC,CAAC,CAAA;QAEjE,OAAO,EAAE,OAAO,SAAA,EAAE,IAAI,MAAA,EAAE,CAAA;IAC1B,CAAC;IAED,SAAS,0BAA0B,CAAC,MAAc;QAChD,IAAM,gBAAgB,GAAG,kBAAkB,CAAiB,MAAM,sBAAmB,EAAE,CAAC,CAAC,CAAA;QACzF,IAAM,gBAAgB,GAAG,kBAAkB,CAAiB,MAAM,sBAAmB,EAAE,CAAC,CAAC,CAAA;QACzF,IAAM,IAAI,GAAG,kBAAkB,CAAiB,MAAM,UAAO,EAAE,CAAC,CAAC,CAAA;QAEjE,OAAO,IAAI,sDAAwB,CAAC,mBAAmB,CACrD,gBAAgB,EAChB,gBAAgB,EAChB,IAAI,CACL,CAAA;IACH,CAAC;IAED,SAAS,wBAAwB,CAAC,MAAc,EAAE,YAA6B;QAA7B,6BAAA,EAAA,oBAA6B;QAC7E,IAAM,KAAK,GAAG,YAAY;YACxB,CAAC,CAAC,iBAAiB,CAAI,MAAM,WAAQ,CAAC;YACtC,CAAC,CAAC,0BAA0B,CAAI,MAAM,WAAQ,CAAC,CAAA;QACjD,IAAM,KAAK,GAAG,0BAA0B,CAAI,MAAM,WAAQ,CAAC,CAAA;QAC3D,IAAM,KAAK,GAAG,0BAA0B,CAAI,MAAM,WAAQ,CAAC,CAAA;QAE3D,OAAO,EAAE,KAAK,OAAA,EAAE,KAAK,OAAA,EAAE,KAAK,OAAA,EAAE,CAAA;IAChC,CAAC;IAED,SAAS,wBAAwB,CAAC,MAAc,EAAE,YAA6B;QAA7B,6BAAA,EAAA,oBAA6B;QAC7E,IAAM,KAAK,GAAG,YAAY;YACxB,CAAC,CAAC,iBAAiB,CAAI,MAAM,WAAQ,CAAC;YACtC,CAAC,CAAC,0BAA0B,CAAI,MAAM,WAAQ,CAAC,CAAA;QACjD,IAAM,KAAK,GAAG,0BAA0B,CAAI,MAAM,WAAQ,CAAC,CAAA;QAC3D,IAAM,KAAK,GAAG,0BAA0B,CAAI,MAAM,WAAQ,CAAC,CAAA;QAC3D,IAAM,KAAK,GAAG,0BAA0B,CAAI,MAAM,WAAQ,CAAC,CAAA;QAE3D,OAAO,EAAE,KAAK,OAAA,EAAE,KAAK,OAAA,EAAE,KAAK,OAAA,EAAE,KAAK,OAAA,EAAE,CAAA;IACvC,CAAC;IAED,OAAO;QACL,wBAAwB,0BAAA;QACxB,wBAAwB,0BAAA;KACzB,CAAA;AACH,CAAC;AAhDD,8CAgDC"}
\ No newline at end of file
diff --git a/build/commonjs/faceFeatureExtractor/types.d.ts b/build/commonjs/faceFeatureExtractor/types.d.ts
deleted file mode 100644
index b6e3a222..00000000
--- a/build/commonjs/faceFeatureExtractor/types.d.ts
+++ /dev/null
@@ -1,38 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { NetInput, NeuralNetwork, TNetInput, TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-export declare type ConvWithBatchNormParams = BatchNormParams & {
- filter: tf.Tensor4D;
-};
-export declare type BatchNormParams = {
- mean: tf.Tensor1D;
- variance: tf.Tensor1D;
- scale: tf.Tensor1D;
- offset: tf.Tensor1D;
-};
-export declare type SeparableConvWithBatchNormParams = {
- depthwise: ConvWithBatchNormParams;
- pointwise: ConvWithBatchNormParams;
-};
-export declare type DenseBlock3Params = {
- conv0: TfjsImageRecognitionBase.SeparableConvParams | TfjsImageRecognitionBase.ConvParams;
- conv1: TfjsImageRecognitionBase.SeparableConvParams;
- conv2: TfjsImageRecognitionBase.SeparableConvParams;
-};
-export declare type DenseBlock4Params = DenseBlock3Params & {
- conv3: TfjsImageRecognitionBase.SeparableConvParams;
-};
-export declare type TinyFaceFeatureExtractorParams = {
- dense0: DenseBlock3Params;
- dense1: DenseBlock3Params;
- dense2: DenseBlock3Params;
-};
-export declare type FaceFeatureExtractorParams = {
- dense0: DenseBlock4Params;
- dense1: DenseBlock4Params;
- dense2: DenseBlock4Params;
- dense3: DenseBlock4Params;
-};
-export interface IFaceFeatureExtractor extends NeuralNetwork {
- forwardInput(input: NetInput): tf.Tensor4D;
- forward(input: TNetInput): Promise;
-}
diff --git a/build/commonjs/faceFeatureExtractor/types.js b/build/commonjs/faceFeatureExtractor/types.js
deleted file mode 100644
index 11e638d1..00000000
--- a/build/commonjs/faceFeatureExtractor/types.js
+++ /dev/null
@@ -1,3 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-//# sourceMappingURL=types.js.map
\ No newline at end of file
diff --git a/build/commonjs/faceFeatureExtractor/types.js.map b/build/commonjs/faceFeatureExtractor/types.js.map
deleted file mode 100644
index d4dd37d8..00000000
--- a/build/commonjs/faceFeatureExtractor/types.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"types.js","sourceRoot":"","sources":["../../../src/faceFeatureExtractor/types.ts"],"names":[],"mappings":""}
\ No newline at end of file
diff --git a/build/commonjs/faceLandmarkNet/FaceLandmark68Net.d.ts b/build/commonjs/faceLandmarkNet/FaceLandmark68Net.d.ts
deleted file mode 100644
index ba213c97..00000000
--- a/build/commonjs/faceLandmarkNet/FaceLandmark68Net.d.ts
+++ /dev/null
@@ -1,8 +0,0 @@
-import { FaceFeatureExtractor } from '../faceFeatureExtractor/FaceFeatureExtractor';
-import { FaceFeatureExtractorParams } from '../faceFeatureExtractor/types';
-import { FaceLandmark68NetBase } from './FaceLandmark68NetBase';
-export declare class FaceLandmark68Net extends FaceLandmark68NetBase {
- constructor(faceFeatureExtractor?: FaceFeatureExtractor);
- protected getDefaultModelName(): string;
- protected getClassifierChannelsIn(): number;
-}
diff --git a/build/commonjs/faceLandmarkNet/FaceLandmark68Net.js b/build/commonjs/faceLandmarkNet/FaceLandmark68Net.js
deleted file mode 100644
index 30e22a01..00000000
--- a/build/commonjs/faceLandmarkNet/FaceLandmark68Net.js
+++ /dev/null
@@ -1,21 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-var FaceFeatureExtractor_1 = require("../faceFeatureExtractor/FaceFeatureExtractor");
-var FaceLandmark68NetBase_1 = require("./FaceLandmark68NetBase");
-var FaceLandmark68Net = /** @class */ (function (_super) {
- tslib_1.__extends(FaceLandmark68Net, _super);
- function FaceLandmark68Net(faceFeatureExtractor) {
- if (faceFeatureExtractor === void 0) { faceFeatureExtractor = new FaceFeatureExtractor_1.FaceFeatureExtractor(); }
- return _super.call(this, 'FaceLandmark68Net', faceFeatureExtractor) || this;
- }
- FaceLandmark68Net.prototype.getDefaultModelName = function () {
- return 'face_landmark_68_model';
- };
- FaceLandmark68Net.prototype.getClassifierChannelsIn = function () {
- return 256;
- };
- return FaceLandmark68Net;
-}(FaceLandmark68NetBase_1.FaceLandmark68NetBase));
-exports.FaceLandmark68Net = FaceLandmark68Net;
-//# sourceMappingURL=FaceLandmark68Net.js.map
\ No newline at end of file
diff --git a/build/commonjs/faceLandmarkNet/FaceLandmark68Net.js.map b/build/commonjs/faceLandmarkNet/FaceLandmark68Net.js.map
deleted file mode 100644
index 12b554a2..00000000
--- a/build/commonjs/faceLandmarkNet/FaceLandmark68Net.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"FaceLandmark68Net.js","sourceRoot":"","sources":["../../../src/faceLandmarkNet/FaceLandmark68Net.ts"],"names":[],"mappings":";;;AAAA,qFAAoF;AAEpF,iEAAgE;AAEhE;IAAuC,6CAAiD;IAEtF,2BAAY,oBAAuE;QAAvE,qCAAA,EAAA,2BAAiD,2CAAoB,EAAE;eACjF,kBAAM,mBAAmB,EAAE,oBAAoB,CAAC;IAClD,CAAC;IAES,+CAAmB,GAA7B;QACE,OAAO,wBAAwB,CAAA;IACjC,CAAC;IAES,mDAAuB,GAAjC;QACE,OAAO,GAAG,CAAA;IACZ,CAAC;IACH,wBAAC;AAAD,CAAC,AAbD,CAAuC,6CAAqB,GAa3D;AAbY,8CAAiB"}
\ No newline at end of file
diff --git a/build/commonjs/faceLandmarkNet/FaceLandmark68NetBase.d.ts b/build/commonjs/faceLandmarkNet/FaceLandmark68NetBase.d.ts
deleted file mode 100644
index 49c9c774..00000000
--- a/build/commonjs/faceLandmarkNet/FaceLandmark68NetBase.d.ts
+++ /dev/null
@@ -1,12 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { IDimensions, NetInput, TNetInput } from 'tfjs-image-recognition-base';
-import { FaceLandmarks68 } from '../classes/FaceLandmarks68';
-import { FaceFeatureExtractorParams, TinyFaceFeatureExtractorParams } from '../faceFeatureExtractor/types';
-import { FaceProcessor } from '../faceProcessor/FaceProcessor';
-export declare abstract class FaceLandmark68NetBase extends FaceProcessor {
- postProcess(output: tf.Tensor2D, inputSize: number, originalDimensions: IDimensions[]): tf.Tensor2D;
- forwardInput(input: NetInput): tf.Tensor2D;
- forward(input: TNetInput): Promise;
- detectLandmarks(input: TNetInput): Promise;
- protected getClassifierChannelsOut(): number;
-}
diff --git a/build/commonjs/faceLandmarkNet/FaceLandmark68NetBase.js b/build/commonjs/faceLandmarkNet/FaceLandmark68NetBase.js
deleted file mode 100644
index 11339a9b..00000000
--- a/build/commonjs/faceLandmarkNet/FaceLandmark68NetBase.js
+++ /dev/null
@@ -1,114 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-var tf = require("@tensorflow/tfjs-core");
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-var FaceLandmarks68_1 = require("../classes/FaceLandmarks68");
-var FaceProcessor_1 = require("../faceProcessor/FaceProcessor");
-var FaceLandmark68NetBase = /** @class */ (function (_super) {
- tslib_1.__extends(FaceLandmark68NetBase, _super);
- function FaceLandmark68NetBase() {
- return _super !== null && _super.apply(this, arguments) || this;
- }
- FaceLandmark68NetBase.prototype.postProcess = function (output, inputSize, originalDimensions) {
- var inputDimensions = originalDimensions.map(function (_a) {
- var width = _a.width, height = _a.height;
- var scale = inputSize / Math.max(height, width);
- return {
- width: width * scale,
- height: height * scale
- };
- });
- var batchSize = inputDimensions.length;
- return tf.tidy(function () {
- var createInterleavedTensor = function (fillX, fillY) {
- return tf.stack([
- tf.fill([68], fillX),
- tf.fill([68], fillY)
- ], 1).as2D(1, 136).as1D();
- };
- var getPadding = function (batchIdx, cond) {
- var _a = inputDimensions[batchIdx], width = _a.width, height = _a.height;
- return cond(width, height) ? Math.abs(width - height) / 2 : 0;
- };
- var getPaddingX = function (batchIdx) { return getPadding(batchIdx, function (w, h) { return w < h; }); };
- var getPaddingY = function (batchIdx) { return getPadding(batchIdx, function (w, h) { return h < w; }); };
- var landmarkTensors = output
- .mul(tf.fill([batchSize, 136], inputSize))
- .sub(tf.stack(Array.from(Array(batchSize), function (_, batchIdx) {
- return createInterleavedTensor(getPaddingX(batchIdx), getPaddingY(batchIdx));
- })))
- .div(tf.stack(Array.from(Array(batchSize), function (_, batchIdx) {
- return createInterleavedTensor(inputDimensions[batchIdx].width, inputDimensions[batchIdx].height);
- })));
- return landmarkTensors;
- });
- };
- FaceLandmark68NetBase.prototype.forwardInput = function (input) {
- var _this = this;
- return tf.tidy(function () {
- var out = _this.runNet(input);
- return _this.postProcess(out, input.inputSize, input.inputDimensions.map(function (_a) {
- var height = _a[0], width = _a[1];
- return ({ height: height, width: width });
- }));
- });
- };
- FaceLandmark68NetBase.prototype.forward = function (input) {
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- var _a;
- return tslib_1.__generator(this, function (_b) {
- switch (_b.label) {
- case 0:
- _a = this.forwardInput;
- return [4 /*yield*/, tfjs_image_recognition_base_1.toNetInput(input)];
- case 1: return [2 /*return*/, _a.apply(this, [_b.sent()])];
- }
- });
- });
- };
- FaceLandmark68NetBase.prototype.detectLandmarks = function (input) {
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- var netInput, landmarkTensors, landmarksForBatch;
- var _this = this;
- return tslib_1.__generator(this, function (_a) {
- switch (_a.label) {
- case 0: return [4 /*yield*/, tfjs_image_recognition_base_1.toNetInput(input)];
- case 1:
- netInput = _a.sent();
- landmarkTensors = tf.tidy(function () { return tf.unstack(_this.forwardInput(netInput)); });
- return [4 /*yield*/, Promise.all(landmarkTensors.map(function (landmarkTensor, batchIdx) { return tslib_1.__awaiter(_this, void 0, void 0, function () {
- var landmarksArray, _a, _b, xCoords, yCoords;
- return tslib_1.__generator(this, function (_c) {
- switch (_c.label) {
- case 0:
- _b = (_a = Array).from;
- return [4 /*yield*/, landmarkTensor.data()];
- case 1:
- landmarksArray = _b.apply(_a, [_c.sent()]);
- xCoords = landmarksArray.filter(function (_, i) { return tfjs_image_recognition_base_1.isEven(i); });
- yCoords = landmarksArray.filter(function (_, i) { return !tfjs_image_recognition_base_1.isEven(i); });
- return [2 /*return*/, new FaceLandmarks68_1.FaceLandmarks68(Array(68).fill(0).map(function (_, i) { return new tfjs_image_recognition_base_1.Point(xCoords[i], yCoords[i]); }), {
- height: netInput.getInputHeight(batchIdx),
- width: netInput.getInputWidth(batchIdx),
- })];
- }
- });
- }); }))];
- case 2:
- landmarksForBatch = _a.sent();
- landmarkTensors.forEach(function (t) { return t.dispose(); });
- return [2 /*return*/, netInput.isBatchInput
- ? landmarksForBatch
- : landmarksForBatch[0]];
- }
- });
- });
- };
- FaceLandmark68NetBase.prototype.getClassifierChannelsOut = function () {
- return 136;
- };
- return FaceLandmark68NetBase;
-}(FaceProcessor_1.FaceProcessor));
-exports.FaceLandmark68NetBase = FaceLandmark68NetBase;
-//# sourceMappingURL=FaceLandmark68NetBase.js.map
\ No newline at end of file
diff --git a/build/commonjs/faceLandmarkNet/FaceLandmark68NetBase.js.map b/build/commonjs/faceLandmarkNet/FaceLandmark68NetBase.js.map
deleted file mode 100644
index 206c203d..00000000
--- a/build/commonjs/faceLandmarkNet/FaceLandmark68NetBase.js.map
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/build/commonjs/faceLandmarkNet/FaceLandmark68TinyNet.d.ts b/build/commonjs/faceLandmarkNet/FaceLandmark68TinyNet.d.ts
deleted file mode 100644
index 58111879..00000000
--- a/build/commonjs/faceLandmarkNet/FaceLandmark68TinyNet.d.ts
+++ /dev/null
@@ -1,8 +0,0 @@
-import { TinyFaceFeatureExtractor } from '../faceFeatureExtractor/TinyFaceFeatureExtractor';
-import { TinyFaceFeatureExtractorParams } from '../faceFeatureExtractor/types';
-import { FaceLandmark68NetBase } from './FaceLandmark68NetBase';
-export declare class FaceLandmark68TinyNet extends FaceLandmark68NetBase {
- constructor(faceFeatureExtractor?: TinyFaceFeatureExtractor);
- protected getDefaultModelName(): string;
- protected getClassifierChannelsIn(): number;
-}
diff --git a/build/commonjs/faceLandmarkNet/FaceLandmark68TinyNet.js b/build/commonjs/faceLandmarkNet/FaceLandmark68TinyNet.js
deleted file mode 100644
index 8f22cb6a..00000000
--- a/build/commonjs/faceLandmarkNet/FaceLandmark68TinyNet.js
+++ /dev/null
@@ -1,21 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-var TinyFaceFeatureExtractor_1 = require("../faceFeatureExtractor/TinyFaceFeatureExtractor");
-var FaceLandmark68NetBase_1 = require("./FaceLandmark68NetBase");
-var FaceLandmark68TinyNet = /** @class */ (function (_super) {
- tslib_1.__extends(FaceLandmark68TinyNet, _super);
- function FaceLandmark68TinyNet(faceFeatureExtractor) {
- if (faceFeatureExtractor === void 0) { faceFeatureExtractor = new TinyFaceFeatureExtractor_1.TinyFaceFeatureExtractor(); }
- return _super.call(this, 'FaceLandmark68TinyNet', faceFeatureExtractor) || this;
- }
- FaceLandmark68TinyNet.prototype.getDefaultModelName = function () {
- return 'face_landmark_68_tiny_model';
- };
- FaceLandmark68TinyNet.prototype.getClassifierChannelsIn = function () {
- return 128;
- };
- return FaceLandmark68TinyNet;
-}(FaceLandmark68NetBase_1.FaceLandmark68NetBase));
-exports.FaceLandmark68TinyNet = FaceLandmark68TinyNet;
-//# sourceMappingURL=FaceLandmark68TinyNet.js.map
\ No newline at end of file
diff --git a/build/commonjs/faceLandmarkNet/FaceLandmark68TinyNet.js.map b/build/commonjs/faceLandmarkNet/FaceLandmark68TinyNet.js.map
deleted file mode 100644
index 50fe0c30..00000000
--- a/build/commonjs/faceLandmarkNet/FaceLandmark68TinyNet.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"FaceLandmark68TinyNet.js","sourceRoot":"","sources":["../../../src/faceLandmarkNet/FaceLandmark68TinyNet.ts"],"names":[],"mappings":";;;AAAA,6FAA4F;AAE5F,iEAAgE;AAEhE;IAA2C,iDAAqD;IAE9F,+BAAY,oBAA+E;QAA/E,qCAAA,EAAA,2BAAqD,mDAAwB,EAAE;eACzF,kBAAM,uBAAuB,EAAE,oBAAoB,CAAC;IACtD,CAAC;IAES,mDAAmB,GAA7B;QACE,OAAO,6BAA6B,CAAA;IACtC,CAAC;IAES,uDAAuB,GAAjC;QACE,OAAO,GAAG,CAAA;IACZ,CAAC;IACH,4BAAC;AAAD,CAAC,AAbD,CAA2C,6CAAqB,GAa/D;AAbY,sDAAqB"}
\ No newline at end of file
diff --git a/build/commonjs/faceLandmarkNet/index.d.ts b/build/commonjs/faceLandmarkNet/index.d.ts
deleted file mode 100644
index b49c3e83..00000000
--- a/build/commonjs/faceLandmarkNet/index.d.ts
+++ /dev/null
@@ -1,5 +0,0 @@
-import { FaceLandmark68Net } from './FaceLandmark68Net';
-export * from './FaceLandmark68Net';
-export * from './FaceLandmark68TinyNet';
-export declare class FaceLandmarkNet extends FaceLandmark68Net {
-}
diff --git a/build/commonjs/faceLandmarkNet/index.js b/build/commonjs/faceLandmarkNet/index.js
deleted file mode 100644
index a85427c1..00000000
--- a/build/commonjs/faceLandmarkNet/index.js
+++ /dev/null
@@ -1,15 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-var FaceLandmark68Net_1 = require("./FaceLandmark68Net");
-tslib_1.__exportStar(require("./FaceLandmark68Net"), exports);
-tslib_1.__exportStar(require("./FaceLandmark68TinyNet"), exports);
-var FaceLandmarkNet = /** @class */ (function (_super) {
- tslib_1.__extends(FaceLandmarkNet, _super);
- function FaceLandmarkNet() {
- return _super !== null && _super.apply(this, arguments) || this;
- }
- return FaceLandmarkNet;
-}(FaceLandmark68Net_1.FaceLandmark68Net));
-exports.FaceLandmarkNet = FaceLandmarkNet;
-//# sourceMappingURL=index.js.map
\ No newline at end of file
diff --git a/build/commonjs/faceLandmarkNet/index.js.map b/build/commonjs/faceLandmarkNet/index.js.map
deleted file mode 100644
index a27a46ba..00000000
--- a/build/commonjs/faceLandmarkNet/index.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"index.js","sourceRoot":"","sources":["../../../src/faceLandmarkNet/index.ts"],"names":[],"mappings":";;;AAAA,yDAAwD;AAExD,8DAAoC;AACpC,kEAAwC;AAExC;IAAqC,2CAAiB;IAAtD;;IAAwD,CAAC;IAAD,sBAAC;AAAD,CAAC,AAAzD,CAAqC,qCAAiB,GAAG;AAA5C,0CAAe"}
\ No newline at end of file
diff --git a/build/commonjs/faceProcessor/FaceProcessor.d.ts b/build/commonjs/faceProcessor/FaceProcessor.d.ts
deleted file mode 100644
index b6d962c5..00000000
--- a/build/commonjs/faceProcessor/FaceProcessor.d.ts
+++ /dev/null
@@ -1,27 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { NetInput, NeuralNetwork } from 'tfjs-image-recognition-base';
-import { FaceFeatureExtractorParams, IFaceFeatureExtractor, TinyFaceFeatureExtractorParams } from '../faceFeatureExtractor/types';
-import { NetParams } from './types';
-export declare abstract class FaceProcessor extends NeuralNetwork {
- protected _faceFeatureExtractor: IFaceFeatureExtractor;
- constructor(_name: string, faceFeatureExtractor: IFaceFeatureExtractor);
- readonly faceFeatureExtractor: IFaceFeatureExtractor;
- protected abstract getDefaultModelName(): string;
- protected abstract getClassifierChannelsIn(): number;
- protected abstract getClassifierChannelsOut(): number;
- runNet(input: NetInput | tf.Tensor4D): tf.Tensor2D;
- dispose(throwOnRedispose?: boolean): void;
- loadClassifierParams(weights: Float32Array): void;
- extractClassifierParams(weights: Float32Array): {
- params: NetParams;
- paramMappings: import("tfjs-image-recognition-base/build/commonjs/common").ParamMapping[];
- };
- protected extractParamsFromWeigthMap(weightMap: tf.NamedTensorMap): {
- params: NetParams;
- paramMappings: import("tfjs-image-recognition-base/build/commonjs/common").ParamMapping[];
- };
- protected extractParams(weights: Float32Array): {
- params: NetParams;
- paramMappings: import("tfjs-image-recognition-base/build/commonjs/common").ParamMapping[];
- };
-}
diff --git a/build/commonjs/faceProcessor/FaceProcessor.js b/build/commonjs/faceProcessor/FaceProcessor.js
deleted file mode 100644
index 8cdc49be..00000000
--- a/build/commonjs/faceProcessor/FaceProcessor.js
+++ /dev/null
@@ -1,67 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-var tf = require("@tensorflow/tfjs-core");
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-var fullyConnectedLayer_1 = require("../common/fullyConnectedLayer");
-var extractParams_1 = require("./extractParams");
-var extractParamsFromWeigthMap_1 = require("./extractParamsFromWeigthMap");
-var util_1 = require("./util");
-var FaceProcessor = /** @class */ (function (_super) {
- tslib_1.__extends(FaceProcessor, _super);
- function FaceProcessor(_name, faceFeatureExtractor) {
- var _this = _super.call(this, _name) || this;
- _this._faceFeatureExtractor = faceFeatureExtractor;
- return _this;
- }
- Object.defineProperty(FaceProcessor.prototype, "faceFeatureExtractor", {
- get: function () {
- return this._faceFeatureExtractor;
- },
- enumerable: true,
- configurable: true
- });
- FaceProcessor.prototype.runNet = function (input) {
- var _this = this;
- var params = this.params;
- if (!params) {
- throw new Error(this._name + " - load model before inference");
- }
- return tf.tidy(function () {
- var bottleneckFeatures = input instanceof tfjs_image_recognition_base_1.NetInput
- ? _this.faceFeatureExtractor.forwardInput(input)
- : input;
- return fullyConnectedLayer_1.fullyConnectedLayer(bottleneckFeatures.as2D(bottleneckFeatures.shape[0], -1), params.fc);
- });
- };
- FaceProcessor.prototype.dispose = function (throwOnRedispose) {
- if (throwOnRedispose === void 0) { throwOnRedispose = true; }
- this.faceFeatureExtractor.dispose(throwOnRedispose);
- _super.prototype.dispose.call(this, throwOnRedispose);
- };
- FaceProcessor.prototype.loadClassifierParams = function (weights) {
- var _a = this.extractClassifierParams(weights), params = _a.params, paramMappings = _a.paramMappings;
- this._params = params;
- this._paramMappings = paramMappings;
- };
- FaceProcessor.prototype.extractClassifierParams = function (weights) {
- return extractParams_1.extractParams(weights, this.getClassifierChannelsIn(), this.getClassifierChannelsOut());
- };
- FaceProcessor.prototype.extractParamsFromWeigthMap = function (weightMap) {
- var _a = util_1.seperateWeightMaps(weightMap), featureExtractorMap = _a.featureExtractorMap, classifierMap = _a.classifierMap;
- this.faceFeatureExtractor.loadFromWeightMap(featureExtractorMap);
- return extractParamsFromWeigthMap_1.extractParamsFromWeigthMap(classifierMap);
- };
- FaceProcessor.prototype.extractParams = function (weights) {
- var cIn = this.getClassifierChannelsIn();
- var cOut = this.getClassifierChannelsOut();
- var classifierWeightSize = (cOut * cIn) + cOut;
- var featureExtractorWeights = weights.slice(0, weights.length - classifierWeightSize);
- var classifierWeights = weights.slice(weights.length - classifierWeightSize);
- this.faceFeatureExtractor.extractWeights(featureExtractorWeights);
- return this.extractClassifierParams(classifierWeights);
- };
- return FaceProcessor;
-}(tfjs_image_recognition_base_1.NeuralNetwork));
-exports.FaceProcessor = FaceProcessor;
-//# sourceMappingURL=FaceProcessor.js.map
\ No newline at end of file
diff --git a/build/commonjs/faceProcessor/FaceProcessor.js.map b/build/commonjs/faceProcessor/FaceProcessor.js.map
deleted file mode 100644
index 17bdf987..00000000
--- a/build/commonjs/faceProcessor/FaceProcessor.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"FaceProcessor.js","sourceRoot":"","sources":["../../../src/faceProcessor/FaceProcessor.ts"],"names":[],"mappings":";;;AAAA,0CAA4C;AAC5C,2EAAsE;AAEtE,qEAAoE;AAMpE,iDAAgD;AAChD,2EAA0E;AAE1E,+BAA4C;AAE5C;IAGU,yCAAwB;IAIhC,uBAAY,KAAa,EAAE,oBAA6D;QAAxF,YACE,kBAAM,KAAK,CAAC,SAEb;QADC,KAAI,CAAC,qBAAqB,GAAG,oBAAoB,CAAA;;IACnD,CAAC;IAED,sBAAW,+CAAoB;aAA/B;YACE,OAAO,IAAI,CAAC,qBAAqB,CAAA;QACnC,CAAC;;;OAAA;IAMM,8BAAM,GAAb,UAAc,KAA6B;QAA3C,iBAcC;QAZS,IAAA,oBAAM,CAAS;QAEvB,IAAI,CAAC,MAAM,EAAE;YACX,MAAM,IAAI,KAAK,CAAI,IAAI,CAAC,KAAK,mCAAgC,CAAC,CAAA;SAC/D;QAED,OAAO,EAAE,CAAC,IAAI,CAAC;YACb,IAAM,kBAAkB,GAAG,KAAK,YAAY,sCAAQ;gBAClD,CAAC,CAAC,KAAI,CAAC,oBAAoB,CAAC,YAAY,CAAC,KAAK,CAAC;gBAC/C,CAAC,CAAC,KAAK,CAAA;YACT,OAAO,yCAAmB,CAAC,kBAAkB,CAAC,IAAI,CAAC,kBAAkB,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,EAAE,MAAM,CAAC,EAAE,CAAC,CAAA;QACjG,CAAC,CAAC,CAAA;IACJ,CAAC;IAEM,+BAAO,GAAd,UAAe,gBAAgC;QAAhC,iCAAA,EAAA,uBAAgC;QAC7C,IAAI,CAAC,oBAAoB,CAAC,OAAO,CAAC,gBAAgB,CAAC,CAAA;QACnD,iBAAM,OAAO,YAAC,gBAAgB,CAAC,CAAA;IACjC,CAAC;IAEM,4CAAoB,GAA3B,UAA4B,OAAqB;QACzC,IAAA,0CAAiE,EAA/D,kBAAM,EAAE,gCAAuD,CAAA;QACvE,IAAI,CAAC,OAAO,GAAG,MAAM,CAAA;QACrB,IAAI,CAAC,cAAc,GAAG,aAAa,CAAA;IACrC,CAAC;IAEM,+CAAuB,GAA9B,UAA+B,OAAqB;QAClD,OAAO,6BAAa,CAAC,OAAO,EAAE,IAAI,CAAC,uBAAuB,EAAE,EAAE,IAAI,CAAC,wBAAwB,EAAE,CAAC,CAAA;IAChG,CAAC;IAES,kDAA0B,GAApC,UAAqC,SAA4B;QAEzD,IAAA,yCAAsE,EAApE,4CAAmB,EAAE,gCAA+C,CAAA;QAE5E,IAAI,CAAC,oBAAoB,CAAC,iBAAiB,CAAC,mBAAmB,CAAC,CAAA;QAEhE,OAAO,uDAA0B,CAAC,aAAa,CAAC,CAAA;IAClD,CAAC;IAES,qCAAa,GAAvB,UAAwB,OAAqB;QAE3C,IAAM,GAAG,GAAG,IAAI,CAAC,uBAAuB,EAAE,CAAA;QAC1C,IAAM,IAAI,GAAG,IAAI,CAAC,wBAAwB,EAAE,CAAA;QAC5C,IAAM,oBAAoB,GAAG,CAAC,IAAI,GAAG,GAAG,CAAE,GAAG,IAAI,CAAA;QAEjD,IAAM,uBAAuB,GAAG,OAAO,CAAC,KAAK,CAAC,CAAC,EAAE,OAAO,CAAC,MAAM,GAAG,oBAAoB,CAAC,CAAA;QACvF,IAAM,iBAAiB,GAAG,OAAO,CAAC,KAAK,CAAC,OAAO,CAAC,MAAM,GAAG,oBAAoB,CAAC,CAAA;QAE9E,IAAI,CAAC,oBAAoB,CAAC,cAAc,CAAC,uBAAuB,CAAC,CAAA;QACjE,OAAO,IAAI,CAAC,uBAAuB,CAAC,iBAAiB,CAAC,CAAA;IACxD,CAAC;IACH,oBAAC;AAAD,CAAC,AAxED,CAGU,2CAAa,GAqEtB;AAxEqB,sCAAa"}
\ No newline at end of file
diff --git a/build/commonjs/faceProcessor/extractParams.d.ts b/build/commonjs/faceProcessor/extractParams.d.ts
deleted file mode 100644
index 950e0aab..00000000
--- a/build/commonjs/faceProcessor/extractParams.d.ts
+++ /dev/null
@@ -1,6 +0,0 @@
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-import { NetParams } from './types';
-export declare function extractParams(weights: Float32Array, channelsIn: number, channelsOut: number): {
- params: NetParams;
- paramMappings: TfjsImageRecognitionBase.ParamMapping[];
-};
diff --git a/build/commonjs/faceProcessor/extractParams.js b/build/commonjs/faceProcessor/extractParams.js
deleted file mode 100644
index 9a8f9009..00000000
--- a/build/commonjs/faceProcessor/extractParams.js
+++ /dev/null
@@ -1,18 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-function extractParams(weights, channelsIn, channelsOut) {
- var paramMappings = [];
- var _a = tfjs_image_recognition_base_1.TfjsImageRecognitionBase.extractWeightsFactory(weights), extractWeights = _a.extractWeights, getRemainingWeights = _a.getRemainingWeights;
- var extractFCParams = tfjs_image_recognition_base_1.TfjsImageRecognitionBase.extractFCParamsFactory(extractWeights, paramMappings);
- var fc = extractFCParams(channelsIn, channelsOut, 'fc');
- if (getRemainingWeights().length !== 0) {
- throw new Error("weights remaing after extract: " + getRemainingWeights().length);
- }
- return {
- paramMappings: paramMappings,
- params: { fc: fc }
- };
-}
-exports.extractParams = extractParams;
-//# sourceMappingURL=extractParams.js.map
\ No newline at end of file
diff --git a/build/commonjs/faceProcessor/extractParams.js.map b/build/commonjs/faceProcessor/extractParams.js.map
deleted file mode 100644
index 3143e52b..00000000
--- a/build/commonjs/faceProcessor/extractParams.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"extractParams.js","sourceRoot":"","sources":["../../../src/faceProcessor/extractParams.ts"],"names":[],"mappings":";;AAAA,2EAAuE;AAIvE,SAAgB,aAAa,CAAC,OAAqB,EAAE,UAAkB,EAAE,WAAmB;IAE1F,IAAM,aAAa,GAA4C,EAAE,CAAA;IAE3D,IAAA,0FAGqD,EAFzD,kCAAc,EACd,4CACyD,CAAA;IAE3D,IAAM,eAAe,GAAG,sDAAwB,CAAC,sBAAsB,CAAC,cAAc,EAAE,aAAa,CAAC,CAAA;IAEtG,IAAM,EAAE,GAAG,eAAe,CAAC,UAAU,EAAE,WAAW,EAAE,IAAI,CAAC,CAAA;IAEzD,IAAI,mBAAmB,EAAE,CAAC,MAAM,KAAK,CAAC,EAAE;QACtC,MAAM,IAAI,KAAK,CAAC,oCAAkC,mBAAmB,EAAE,CAAC,MAAQ,CAAC,CAAA;KAClF;IAED,OAAO;QACL,aAAa,eAAA;QACb,MAAM,EAAE,EAAE,EAAE,IAAA,EAAE;KACf,CAAA;AACH,CAAC;AArBD,sCAqBC"}
\ No newline at end of file
diff --git a/build/commonjs/faceProcessor/extractParamsFromWeigthMap.d.ts b/build/commonjs/faceProcessor/extractParamsFromWeigthMap.d.ts
deleted file mode 100644
index 7bf5a66d..00000000
--- a/build/commonjs/faceProcessor/extractParamsFromWeigthMap.d.ts
+++ /dev/null
@@ -1,7 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-import { NetParams } from './types';
-export declare function extractParamsFromWeigthMap(weightMap: tf.NamedTensorMap): {
- params: NetParams;
- paramMappings: TfjsImageRecognitionBase.ParamMapping[];
-};
diff --git a/build/commonjs/faceProcessor/extractParamsFromWeigthMap.js b/build/commonjs/faceProcessor/extractParamsFromWeigthMap.js
deleted file mode 100644
index ef8cdd07..00000000
--- a/build/commonjs/faceProcessor/extractParamsFromWeigthMap.js
+++ /dev/null
@@ -1,19 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-function extractParamsFromWeigthMap(weightMap) {
- var paramMappings = [];
- var extractWeightEntry = tfjs_image_recognition_base_1.TfjsImageRecognitionBase.extractWeightEntryFactory(weightMap, paramMappings);
- function extractFcParams(prefix) {
- var weights = extractWeightEntry(prefix + "/weights", 2);
- var bias = extractWeightEntry(prefix + "/bias", 1);
- return { weights: weights, bias: bias };
- }
- var params = {
- fc: extractFcParams('fc')
- };
- tfjs_image_recognition_base_1.TfjsImageRecognitionBase.disposeUnusedWeightTensors(weightMap, paramMappings);
- return { params: params, paramMappings: paramMappings };
-}
-exports.extractParamsFromWeigthMap = extractParamsFromWeigthMap;
-//# sourceMappingURL=extractParamsFromWeigthMap.js.map
\ No newline at end of file
diff --git a/build/commonjs/faceProcessor/extractParamsFromWeigthMap.js.map b/build/commonjs/faceProcessor/extractParamsFromWeigthMap.js.map
deleted file mode 100644
index eacc0dfb..00000000
--- a/build/commonjs/faceProcessor/extractParamsFromWeigthMap.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"extractParamsFromWeigthMap.js","sourceRoot":"","sources":["../../../src/faceProcessor/extractParamsFromWeigthMap.ts"],"names":[],"mappings":";;AACA,2EAAuE;AAIvE,SAAgB,0BAA0B,CACxC,SAA4B;IAG5B,IAAM,aAAa,GAA4C,EAAE,CAAA;IAEjE,IAAM,kBAAkB,GAAG,sDAAwB,CAAC,yBAAyB,CAAC,SAAS,EAAE,aAAa,CAAC,CAAA;IAEvG,SAAS,eAAe,CAAC,MAAc;QACrC,IAAM,OAAO,GAAG,kBAAkB,CAAiB,MAAM,aAAU,EAAE,CAAC,CAAC,CAAA;QACvE,IAAM,IAAI,GAAG,kBAAkB,CAAiB,MAAM,UAAO,EAAE,CAAC,CAAC,CAAA;QACjE,OAAO,EAAE,OAAO,SAAA,EAAE,IAAI,MAAA,EAAE,CAAA;IAC1B,CAAC;IAED,IAAM,MAAM,GAAG;QACb,EAAE,EAAE,eAAe,CAAC,IAAI,CAAC;KAC1B,CAAA;IAED,sDAAwB,CAAC,0BAA0B,CAAC,SAAS,EAAE,aAAa,CAAC,CAAA;IAE7E,OAAO,EAAE,MAAM,QAAA,EAAE,aAAa,eAAA,EAAE,CAAA;AAClC,CAAC;AArBD,gEAqBC"}
\ No newline at end of file
diff --git a/build/commonjs/faceProcessor/index.d.ts b/build/commonjs/faceProcessor/index.d.ts
deleted file mode 100644
index 9e98e7d8..00000000
--- a/build/commonjs/faceProcessor/index.d.ts
+++ /dev/null
@@ -1 +0,0 @@
-export * from './FaceProcessor';
diff --git a/build/commonjs/faceProcessor/index.js b/build/commonjs/faceProcessor/index.js
deleted file mode 100644
index efde3701..00000000
--- a/build/commonjs/faceProcessor/index.js
+++ /dev/null
@@ -1,5 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-tslib_1.__exportStar(require("./FaceProcessor"), exports);
-//# sourceMappingURL=index.js.map
\ No newline at end of file
diff --git a/build/commonjs/faceProcessor/index.js.map b/build/commonjs/faceProcessor/index.js.map
deleted file mode 100644
index 3344454f..00000000
--- a/build/commonjs/faceProcessor/index.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"index.js","sourceRoot":"","sources":["../../../src/faceProcessor/index.ts"],"names":[],"mappings":";;;AAAA,0DAAgC"}
\ No newline at end of file
diff --git a/build/commonjs/faceProcessor/types.d.ts b/build/commonjs/faceProcessor/types.d.ts
deleted file mode 100644
index 3cc54402..00000000
--- a/build/commonjs/faceProcessor/types.d.ts
+++ /dev/null
@@ -1,4 +0,0 @@
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-export declare type NetParams = {
- fc: TfjsImageRecognitionBase.FCParams;
-};
diff --git a/build/commonjs/faceProcessor/types.js b/build/commonjs/faceProcessor/types.js
deleted file mode 100644
index 11e638d1..00000000
--- a/build/commonjs/faceProcessor/types.js
+++ /dev/null
@@ -1,3 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-//# sourceMappingURL=types.js.map
\ No newline at end of file
diff --git a/build/commonjs/faceProcessor/types.js.map b/build/commonjs/faceProcessor/types.js.map
deleted file mode 100644
index 42a7693f..00000000
--- a/build/commonjs/faceProcessor/types.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"types.js","sourceRoot":"","sources":["../../../src/faceProcessor/types.ts"],"names":[],"mappings":""}
\ No newline at end of file
diff --git a/build/commonjs/faceProcessor/util.d.ts b/build/commonjs/faceProcessor/util.d.ts
deleted file mode 100644
index e28fedc0..00000000
--- a/build/commonjs/faceProcessor/util.d.ts
+++ /dev/null
@@ -1,5 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-export declare function seperateWeightMaps(weightMap: tf.NamedTensorMap): {
- featureExtractorMap: tf.NamedTensorMap;
- classifierMap: tf.NamedTensorMap;
-};
diff --git a/build/commonjs/faceProcessor/util.js b/build/commonjs/faceProcessor/util.js
deleted file mode 100644
index fb1b4913..00000000
--- a/build/commonjs/faceProcessor/util.js
+++ /dev/null
@@ -1,13 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-function seperateWeightMaps(weightMap) {
- var featureExtractorMap = {};
- var classifierMap = {};
- Object.keys(weightMap).forEach(function (key) {
- var map = key.startsWith('fc') ? classifierMap : featureExtractorMap;
- map[key] = weightMap[key];
- });
- return { featureExtractorMap: featureExtractorMap, classifierMap: classifierMap };
-}
-exports.seperateWeightMaps = seperateWeightMaps;
-//# sourceMappingURL=util.js.map
\ No newline at end of file
diff --git a/build/commonjs/faceProcessor/util.js.map b/build/commonjs/faceProcessor/util.js.map
deleted file mode 100644
index 1b96a67d..00000000
--- a/build/commonjs/faceProcessor/util.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"util.js","sourceRoot":"","sources":["../../../src/faceProcessor/util.ts"],"names":[],"mappings":";;AAEA,SAAgB,kBAAkB,CAAC,SAA4B;IAE7D,IAAM,mBAAmB,GAAsB,EAAE,CAAA;IACjD,IAAM,aAAa,GAAsB,EAAE,CAAA;IAE3C,MAAM,CAAC,IAAI,CAAC,SAAS,CAAC,CAAC,OAAO,CAAC,UAAA,GAAG;QAChC,IAAM,GAAG,GAAG,GAAG,CAAC,UAAU,CAAC,IAAI,CAAC,CAAC,CAAC,CAAC,aAAa,CAAC,CAAC,CAAC,mBAAmB,CAAA;QACtE,GAAG,CAAC,GAAG,CAAC,GAAG,SAAS,CAAC,GAAG,CAAC,CAAA;IAC3B,CAAC,CAAC,CAAA;IAEF,OAAO,EAAE,mBAAmB,qBAAA,EAAE,aAAa,eAAA,EAAE,CAAA;AAE/C,CAAC;AAZD,gDAYC"}
\ No newline at end of file
diff --git a/build/commonjs/faceRecognitionNet/FaceRecognitionNet.d.ts b/build/commonjs/faceRecognitionNet/FaceRecognitionNet.d.ts
deleted file mode 100644
index 1fd59dab..00000000
--- a/build/commonjs/faceRecognitionNet/FaceRecognitionNet.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { NetInput, NeuralNetwork, TNetInput } from 'tfjs-image-recognition-base';
-import { NetParams } from './types';
-export declare class FaceRecognitionNet extends NeuralNetwork {
- constructor();
- forwardInput(input: NetInput): tf.Tensor2D;
- forward(input: TNetInput): Promise;
- computeFaceDescriptor(input: TNetInput): Promise;
- protected getDefaultModelName(): string;
- protected extractParamsFromWeigthMap(weightMap: tf.NamedTensorMap): {
- params: NetParams;
- paramMappings: import("tfjs-image-recognition-base/build/commonjs/common").ParamMapping[];
- };
- protected extractParams(weights: Float32Array): {
- params: NetParams;
- paramMappings: import("tfjs-image-recognition-base/build/commonjs/common").ParamMapping[];
- };
-}
diff --git a/build/commonjs/faceRecognitionNet/FaceRecognitionNet.js b/build/commonjs/faceRecognitionNet/FaceRecognitionNet.js
deleted file mode 100644
index 4cfc4800..00000000
--- a/build/commonjs/faceRecognitionNet/FaceRecognitionNet.js
+++ /dev/null
@@ -1,91 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-var tf = require("@tensorflow/tfjs-core");
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-var convLayer_1 = require("./convLayer");
-var extractParams_1 = require("./extractParams");
-var extractParamsFromWeigthMap_1 = require("./extractParamsFromWeigthMap");
-var residualLayer_1 = require("./residualLayer");
-var FaceRecognitionNet = /** @class */ (function (_super) {
- tslib_1.__extends(FaceRecognitionNet, _super);
- function FaceRecognitionNet() {
- return _super.call(this, 'FaceRecognitionNet') || this;
- }
- FaceRecognitionNet.prototype.forwardInput = function (input) {
- var params = this.params;
- if (!params) {
- throw new Error('FaceRecognitionNet - load model before inference');
- }
- return tf.tidy(function () {
- var batchTensor = input.toBatchTensor(150, true).toFloat();
- var meanRgb = [122.782, 117.001, 104.298];
- var normalized = tfjs_image_recognition_base_1.normalize(batchTensor, meanRgb).div(tf.scalar(256));
- var out = convLayer_1.convDown(normalized, params.conv32_down);
- out = tf.maxPool(out, 3, 2, 'valid');
- out = residualLayer_1.residual(out, params.conv32_1);
- out = residualLayer_1.residual(out, params.conv32_2);
- out = residualLayer_1.residual(out, params.conv32_3);
- out = residualLayer_1.residualDown(out, params.conv64_down);
- out = residualLayer_1.residual(out, params.conv64_1);
- out = residualLayer_1.residual(out, params.conv64_2);
- out = residualLayer_1.residual(out, params.conv64_3);
- out = residualLayer_1.residualDown(out, params.conv128_down);
- out = residualLayer_1.residual(out, params.conv128_1);
- out = residualLayer_1.residual(out, params.conv128_2);
- out = residualLayer_1.residualDown(out, params.conv256_down);
- out = residualLayer_1.residual(out, params.conv256_1);
- out = residualLayer_1.residual(out, params.conv256_2);
- out = residualLayer_1.residualDown(out, params.conv256_down_out);
- var globalAvg = out.mean([1, 2]);
- var fullyConnected = tf.matMul(globalAvg, params.fc);
- return fullyConnected;
- });
- };
- FaceRecognitionNet.prototype.forward = function (input) {
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- var _a;
- return tslib_1.__generator(this, function (_b) {
- switch (_b.label) {
- case 0:
- _a = this.forwardInput;
- return [4 /*yield*/, tfjs_image_recognition_base_1.toNetInput(input)];
- case 1: return [2 /*return*/, _a.apply(this, [_b.sent()])];
- }
- });
- });
- };
- FaceRecognitionNet.prototype.computeFaceDescriptor = function (input) {
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- var netInput, faceDescriptorTensors, faceDescriptorsForBatch;
- var _this = this;
- return tslib_1.__generator(this, function (_a) {
- switch (_a.label) {
- case 0: return [4 /*yield*/, tfjs_image_recognition_base_1.toNetInput(input)];
- case 1:
- netInput = _a.sent();
- faceDescriptorTensors = tf.tidy(function () { return tf.unstack(_this.forwardInput(netInput)); });
- return [4 /*yield*/, Promise.all(faceDescriptorTensors.map(function (t) { return t.data(); }))];
- case 2:
- faceDescriptorsForBatch = _a.sent();
- faceDescriptorTensors.forEach(function (t) { return t.dispose(); });
- return [2 /*return*/, netInput.isBatchInput
- ? faceDescriptorsForBatch
- : faceDescriptorsForBatch[0]];
- }
- });
- });
- };
- FaceRecognitionNet.prototype.getDefaultModelName = function () {
- return 'face_recognition_model';
- };
- FaceRecognitionNet.prototype.extractParamsFromWeigthMap = function (weightMap) {
- return extractParamsFromWeigthMap_1.extractParamsFromWeigthMap(weightMap);
- };
- FaceRecognitionNet.prototype.extractParams = function (weights) {
- return extractParams_1.extractParams(weights);
- };
- return FaceRecognitionNet;
-}(tfjs_image_recognition_base_1.NeuralNetwork));
-exports.FaceRecognitionNet = FaceRecognitionNet;
-//# sourceMappingURL=FaceRecognitionNet.js.map
\ No newline at end of file
diff --git a/build/commonjs/faceRecognitionNet/FaceRecognitionNet.js.map b/build/commonjs/faceRecognitionNet/FaceRecognitionNet.js.map
deleted file mode 100644
index 88c1f96d..00000000
--- a/build/commonjs/faceRecognitionNet/FaceRecognitionNet.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"FaceRecognitionNet.js","sourceRoot":"","sources":["../../../src/faceRecognitionNet/FaceRecognitionNet.ts"],"names":[],"mappings":";;;AAAA,0CAA4C;AAC5C,2EAAwG;AAExG,yCAAuC;AACvC,iDAAgD;AAChD,2EAA0E;AAC1E,iDAAyD;AAIzD;IAAwC,8CAAwB;IAE9D;eACE,kBAAM,oBAAoB,CAAC;IAC7B,CAAC;IAEM,yCAAY,GAAnB,UAAoB,KAAe;QAEzB,IAAA,oBAAM,CAAS;QAEvB,IAAI,CAAC,MAAM,EAAE;YACX,MAAM,IAAI,KAAK,CAAC,kDAAkD,CAAC,CAAA;SACpE;QAED,OAAO,EAAE,CAAC,IAAI,CAAC;YACb,IAAM,WAAW,GAAG,KAAK,CAAC,aAAa,CAAC,GAAG,EAAE,IAAI,CAAC,CAAC,OAAO,EAAE,CAAA;YAE5D,IAAM,OAAO,GAAG,CAAC,OAAO,EAAE,OAAO,EAAE,OAAO,CAAC,CAAA;YAC3C,IAAM,UAAU,GAAG,uCAAS,CAAC,WAAW,EAAE,OAAO,CAAC,CAAC,GAAG,CAAC,EAAE,CAAC,MAAM,CAAC,GAAG,CAAC,CAAgB,CAAA;YAErF,IAAI,GAAG,GAAG,oBAAQ,CAAC,UAAU,EAAE,MAAM,CAAC,WAAW,CAAC,CAAA;YAClD,GAAG,GAAG,EAAE,CAAC,OAAO,CAAC,GAAG,EAAE,CAAC,EAAE,CAAC,EAAE,OAAO,CAAC,CAAA;YAEpC,GAAG,GAAG,wBAAQ,CAAC,GAAG,EAAE,MAAM,CAAC,QAAQ,CAAC,CAAA;YACpC,GAAG,GAAG,wBAAQ,CAAC,GAAG,EAAE,MAAM,CAAC,QAAQ,CAAC,CAAA;YACpC,GAAG,GAAG,wBAAQ,CAAC,GAAG,EAAE,MAAM,CAAC,QAAQ,CAAC,CAAA;YAEpC,GAAG,GAAG,4BAAY,CAAC,GAAG,EAAE,MAAM,CAAC,WAAW,CAAC,CAAA;YAC3C,GAAG,GAAG,wBAAQ,CAAC,GAAG,EAAE,MAAM,CAAC,QAAQ,CAAC,CAAA;YACpC,GAAG,GAAG,wBAAQ,CAAC,GAAG,EAAE,MAAM,CAAC,QAAQ,CAAC,CAAA;YACpC,GAAG,GAAG,wBAAQ,CAAC,GAAG,EAAE,MAAM,CAAC,QAAQ,CAAC,CAAA;YAEpC,GAAG,GAAG,4BAAY,CAAC,GAAG,EAAE,MAAM,CAAC,YAAY,CAAC,CAAA;YAC5C,GAAG,GAAG,wBAAQ,CAAC,GAAG,EAAE,MAAM,CAAC,SAAS,CAAC,CAAA;YACrC,GAAG,GAAG,wBAAQ,CAAC,GAAG,EAAE,MAAM,CAAC,SAAS,CAAC,CAAA;YAErC,GAAG,GAAG,4BAAY,CAAC,GAAG,EAAE,MAAM,CAAC,YAAY,CAAC,CAAA;YAC5C,GAAG,GAAG,wBAAQ,CAAC,GAAG,EAAE,MAAM,CAAC,SAAS,CAAC,CAAA;YACrC,GAAG,GAAG,wBAAQ,CAAC,GAAG,EAAE,MAAM,CAAC,SAAS,CAAC,CAAA;YACrC,GAAG,GAAG,4BAAY,CAAC,GAAG,EAAE,MAAM,CAAC,gBAAgB,CAAC,CAAA;YAEhD,IAAM,SAAS,GAAG,GAAG,CAAC,IAAI,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAgB,CAAA;YACjD,IAAM,cAAc,GAAG,EAAE,CAAC,MAAM,CAAC,SAAS,EAAE,MAAM,CAAC,EAAE,CAAC,CAAA;YAEtD,OAAO,cAAc,CAAA;QACvB,CAAC,CAAC,CAAA;IACJ,CAAC;IAEY,oCAAO,GAApB,UAAqB,KAAgB;;;;;;wBAC5B,KAAA,IAAI,CAAC,YAAY,CAAA;wBAAC,qBAAM,wCAAU,CAAC,KAAK,CAAC,EAAA;4BAAhD,sBAAO,SAAA,IAAI,GAAc,SAAuB,EAAC,EAAA;;;;KAClD;IAEY,kDAAqB,GAAlC,UAAmC,KAAgB;;;;;;4BAChC,qBAAM,wCAAU,CAAC,KAAK,CAAC,EAAA;;wBAAlC,QAAQ,GAAG,SAAuB;wBAElC,qBAAqB,GAAG,EAAE,CAAC,IAAI,CACnC,cAAM,OAAA,EAAE,CAAC,OAAO,CAAC,KAAI,CAAC,YAAY,CAAC,QAAQ,CAAC,CAAC,EAAvC,CAAuC,CAC9C,CAAA;wBAE+B,qBAAM,OAAO,CAAC,GAAG,CAAC,qBAAqB,CAAC,GAAG,CACzE,UAAA,CAAC,IAAI,OAAA,CAAC,CAAC,IAAI,EAAE,EAAR,CAAQ,CACd,CAAC,EAAA;;wBAFI,uBAAuB,GAAG,SAEZ;wBAEpB,qBAAqB,CAAC,OAAO,CAAC,UAAA,CAAC,IAAI,OAAA,CAAC,CAAC,OAAO,EAAE,EAAX,CAAW,CAAC,CAAA;wBAE/C,sBAAO,QAAQ,CAAC,YAAY;gCAC1B,CAAC,CAAC,uBAAuB;gCACzB,CAAC,CAAC,uBAAuB,CAAC,CAAC,CAAC,EAAA;;;;KAC/B;IAES,gDAAmB,GAA7B;QACE,OAAO,wBAAwB,CAAA;IACjC,CAAC;IAES,uDAA0B,GAApC,UAAqC,SAA4B;QAC/D,OAAO,uDAA0B,CAAC,SAAS,CAAC,CAAA;IAC9C,CAAC;IAES,0CAAa,GAAvB,UAAwB,OAAqB;QAC3C,OAAO,6BAAa,CAAC,OAAO,CAAC,CAAA;IAC/B,CAAC;IACH,yBAAC;AAAD,CAAC,AAjFD,CAAwC,2CAAa,GAiFpD;AAjFY,gDAAkB"}
\ No newline at end of file
diff --git a/build/commonjs/faceRecognitionNet/convLayer.d.ts b/build/commonjs/faceRecognitionNet/convLayer.d.ts
deleted file mode 100644
index a750f6c4..00000000
--- a/build/commonjs/faceRecognitionNet/convLayer.d.ts
+++ /dev/null
@@ -1,5 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { ConvLayerParams } from './types';
-export declare function conv(x: tf.Tensor4D, params: ConvLayerParams): tf.Tensor;
-export declare function convNoRelu(x: tf.Tensor4D, params: ConvLayerParams): tf.Tensor;
-export declare function convDown(x: tf.Tensor4D, params: ConvLayerParams): tf.Tensor;
diff --git a/build/commonjs/faceRecognitionNet/convLayer.js b/build/commonjs/faceRecognitionNet/convLayer.js
deleted file mode 100644
index 4c4a2fcf..00000000
--- a/build/commonjs/faceRecognitionNet/convLayer.js
+++ /dev/null
@@ -1,25 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tf = require("@tensorflow/tfjs-core");
-var scaleLayer_1 = require("./scaleLayer");
-function convLayer(x, params, strides, withRelu, padding) {
- if (padding === void 0) { padding = 'same'; }
- var _a = params.conv, filters = _a.filters, bias = _a.bias;
- var out = tf.conv2d(x, filters, strides, padding);
- out = tf.add(out, bias);
- out = scaleLayer_1.scale(out, params.scale);
- return withRelu ? tf.relu(out) : out;
-}
-function conv(x, params) {
- return convLayer(x, params, [1, 1], true);
-}
-exports.conv = conv;
-function convNoRelu(x, params) {
- return convLayer(x, params, [1, 1], false);
-}
-exports.convNoRelu = convNoRelu;
-function convDown(x, params) {
- return convLayer(x, params, [2, 2], true, 'valid');
-}
-exports.convDown = convDown;
-//# sourceMappingURL=convLayer.js.map
\ No newline at end of file
diff --git a/build/commonjs/faceRecognitionNet/convLayer.js.map b/build/commonjs/faceRecognitionNet/convLayer.js.map
deleted file mode 100644
index f8daee38..00000000
--- a/build/commonjs/faceRecognitionNet/convLayer.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"convLayer.js","sourceRoot":"","sources":["../../../src/faceRecognitionNet/convLayer.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAE5C,2CAAqC;AAIrC,SAAS,SAAS,CAChB,CAAc,EACd,MAAuB,EACvB,OAAyB,EACzB,QAAiB,EACjB,OAAkC;IAAlC,wBAAA,EAAA,gBAAkC;IAE5B,IAAA,gBAA+B,EAA7B,oBAAO,EAAE,cAAoB,CAAA;IAErC,IAAI,GAAG,GAAG,EAAE,CAAC,MAAM,CAAC,CAAC,EAAE,OAAO,EAAE,OAAO,EAAE,OAAO,CAAC,CAAA;IACjD,GAAG,GAAG,EAAE,CAAC,GAAG,CAAC,GAAG,EAAE,IAAI,CAAC,CAAA;IACvB,GAAG,GAAG,kBAAK,CAAC,GAAG,EAAE,MAAM,CAAC,KAAK,CAAC,CAAA;IAC9B,OAAO,QAAQ,CAAC,CAAC,CAAC,EAAE,CAAC,IAAI,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,GAAG,CAAA;AACtC,CAAC;AAED,SAAgB,IAAI,CAAC,CAAc,EAAE,MAAuB;IAC1D,OAAO,SAAS,CAAC,CAAC,EAAE,MAAM,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,IAAI,CAAC,CAAA;AAC3C,CAAC;AAFD,oBAEC;AAED,SAAgB,UAAU,CAAC,CAAc,EAAE,MAAuB;IAChE,OAAO,SAAS,CAAC,CAAC,EAAE,MAAM,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,KAAK,CAAC,CAAA;AAC5C,CAAC;AAFD,gCAEC;AAED,SAAgB,QAAQ,CAAC,CAAc,EAAE,MAAuB;IAC9D,OAAO,SAAS,CAAC,CAAC,EAAE,MAAM,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,IAAI,EAAE,OAAO,CAAC,CAAA;AACpD,CAAC;AAFD,4BAEC"}
\ No newline at end of file
diff --git a/build/commonjs/faceRecognitionNet/extractParams.d.ts b/build/commonjs/faceRecognitionNet/extractParams.d.ts
deleted file mode 100644
index 14d45d2b..00000000
--- a/build/commonjs/faceRecognitionNet/extractParams.d.ts
+++ /dev/null
@@ -1,6 +0,0 @@
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-import { NetParams } from './types';
-export declare function extractParams(weights: Float32Array): {
- params: NetParams;
- paramMappings: TfjsImageRecognitionBase.ParamMapping[];
-};
diff --git a/build/commonjs/faceRecognitionNet/extractParams.js b/build/commonjs/faceRecognitionNet/extractParams.js
deleted file mode 100644
index 4662fd95..00000000
--- a/build/commonjs/faceRecognitionNet/extractParams.js
+++ /dev/null
@@ -1,90 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tf = require("@tensorflow/tfjs-core");
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-function extractorsFactory(extractWeights, paramMappings) {
- function extractFilterValues(numFilterValues, numFilters, filterSize) {
- var weights = extractWeights(numFilterValues);
- var depth = weights.length / (numFilters * filterSize * filterSize);
- if (tfjs_image_recognition_base_1.isFloat(depth)) {
- throw new Error("depth has to be an integer: " + depth + ", weights.length: " + weights.length + ", numFilters: " + numFilters + ", filterSize: " + filterSize);
- }
- return tf.tidy(function () { return tf.transpose(tf.tensor4d(weights, [numFilters, depth, filterSize, filterSize]), [2, 3, 1, 0]); });
- }
- function extractConvParams(numFilterValues, numFilters, filterSize, mappedPrefix) {
- var filters = extractFilterValues(numFilterValues, numFilters, filterSize);
- var bias = tf.tensor1d(extractWeights(numFilters));
- paramMappings.push({ paramPath: mappedPrefix + "/filters" }, { paramPath: mappedPrefix + "/bias" });
- return { filters: filters, bias: bias };
- }
- function extractScaleLayerParams(numWeights, mappedPrefix) {
- var weights = tf.tensor1d(extractWeights(numWeights));
- var biases = tf.tensor1d(extractWeights(numWeights));
- paramMappings.push({ paramPath: mappedPrefix + "/weights" }, { paramPath: mappedPrefix + "/biases" });
- return {
- weights: weights,
- biases: biases
- };
- }
- function extractConvLayerParams(numFilterValues, numFilters, filterSize, mappedPrefix) {
- var conv = extractConvParams(numFilterValues, numFilters, filterSize, mappedPrefix + "/conv");
- var scale = extractScaleLayerParams(numFilters, mappedPrefix + "/scale");
- return { conv: conv, scale: scale };
- }
- function extractResidualLayerParams(numFilterValues, numFilters, filterSize, mappedPrefix, isDown) {
- if (isDown === void 0) { isDown = false; }
- var conv1 = extractConvLayerParams((isDown ? 0.5 : 1) * numFilterValues, numFilters, filterSize, mappedPrefix + "/conv1");
- var conv2 = extractConvLayerParams(numFilterValues, numFilters, filterSize, mappedPrefix + "/conv2");
- return { conv1: conv1, conv2: conv2 };
- }
- return {
- extractConvLayerParams: extractConvLayerParams,
- extractResidualLayerParams: extractResidualLayerParams
- };
-}
-function extractParams(weights) {
- var _a = tfjs_image_recognition_base_1.TfjsImageRecognitionBase.extractWeightsFactory(weights), extractWeights = _a.extractWeights, getRemainingWeights = _a.getRemainingWeights;
- var paramMappings = [];
- var _b = extractorsFactory(extractWeights, paramMappings), extractConvLayerParams = _b.extractConvLayerParams, extractResidualLayerParams = _b.extractResidualLayerParams;
- var conv32_down = extractConvLayerParams(4704, 32, 7, 'conv32_down');
- var conv32_1 = extractResidualLayerParams(9216, 32, 3, 'conv32_1');
- var conv32_2 = extractResidualLayerParams(9216, 32, 3, 'conv32_2');
- var conv32_3 = extractResidualLayerParams(9216, 32, 3, 'conv32_3');
- var conv64_down = extractResidualLayerParams(36864, 64, 3, 'conv64_down', true);
- var conv64_1 = extractResidualLayerParams(36864, 64, 3, 'conv64_1');
- var conv64_2 = extractResidualLayerParams(36864, 64, 3, 'conv64_2');
- var conv64_3 = extractResidualLayerParams(36864, 64, 3, 'conv64_3');
- var conv128_down = extractResidualLayerParams(147456, 128, 3, 'conv128_down', true);
- var conv128_1 = extractResidualLayerParams(147456, 128, 3, 'conv128_1');
- var conv128_2 = extractResidualLayerParams(147456, 128, 3, 'conv128_2');
- var conv256_down = extractResidualLayerParams(589824, 256, 3, 'conv256_down', true);
- var conv256_1 = extractResidualLayerParams(589824, 256, 3, 'conv256_1');
- var conv256_2 = extractResidualLayerParams(589824, 256, 3, 'conv256_2');
- var conv256_down_out = extractResidualLayerParams(589824, 256, 3, 'conv256_down_out');
- var fc = tf.tidy(function () { return tf.transpose(tf.tensor2d(extractWeights(256 * 128), [128, 256]), [1, 0]); });
- paramMappings.push({ paramPath: "fc" });
- if (getRemainingWeights().length !== 0) {
- throw new Error("weights remaing after extract: " + getRemainingWeights().length);
- }
- var params = {
- conv32_down: conv32_down,
- conv32_1: conv32_1,
- conv32_2: conv32_2,
- conv32_3: conv32_3,
- conv64_down: conv64_down,
- conv64_1: conv64_1,
- conv64_2: conv64_2,
- conv64_3: conv64_3,
- conv128_down: conv128_down,
- conv128_1: conv128_1,
- conv128_2: conv128_2,
- conv256_down: conv256_down,
- conv256_1: conv256_1,
- conv256_2: conv256_2,
- conv256_down_out: conv256_down_out,
- fc: fc
- };
- return { params: params, paramMappings: paramMappings };
-}
-exports.extractParams = extractParams;
-//# sourceMappingURL=extractParams.js.map
\ No newline at end of file
diff --git a/build/commonjs/faceRecognitionNet/extractParams.js.map b/build/commonjs/faceRecognitionNet/extractParams.js.map
deleted file mode 100644
index 805aad60..00000000
--- a/build/commonjs/faceRecognitionNet/extractParams.js.map
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/build/commonjs/faceRecognitionNet/extractParamsFromWeigthMap.d.ts b/build/commonjs/faceRecognitionNet/extractParamsFromWeigthMap.d.ts
deleted file mode 100644
index 7bf5a66d..00000000
--- a/build/commonjs/faceRecognitionNet/extractParamsFromWeigthMap.d.ts
+++ /dev/null
@@ -1,7 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-import { NetParams } from './types';
-export declare function extractParamsFromWeigthMap(weightMap: tf.NamedTensorMap): {
- params: NetParams;
- paramMappings: TfjsImageRecognitionBase.ParamMapping[];
-};
diff --git a/build/commonjs/faceRecognitionNet/extractParamsFromWeigthMap.js b/build/commonjs/faceRecognitionNet/extractParamsFromWeigthMap.js
deleted file mode 100644
index 6fb24f4d..00000000
--- a/build/commonjs/faceRecognitionNet/extractParamsFromWeigthMap.js
+++ /dev/null
@@ -1,73 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-function extractorsFactory(weightMap, paramMappings) {
- var extractWeightEntry = tfjs_image_recognition_base_1.TfjsImageRecognitionBase.extractWeightEntryFactory(weightMap, paramMappings);
- function extractScaleLayerParams(prefix) {
- var weights = extractWeightEntry(prefix + "/scale/weights", 1);
- var biases = extractWeightEntry(prefix + "/scale/biases", 1);
- return { weights: weights, biases: biases };
- }
- function extractConvLayerParams(prefix) {
- var filters = extractWeightEntry(prefix + "/conv/filters", 4);
- var bias = extractWeightEntry(prefix + "/conv/bias", 1);
- var scale = extractScaleLayerParams(prefix);
- return { conv: { filters: filters, bias: bias }, scale: scale };
- }
- function extractResidualLayerParams(prefix) {
- return {
- conv1: extractConvLayerParams(prefix + "/conv1"),
- conv2: extractConvLayerParams(prefix + "/conv2")
- };
- }
- return {
- extractConvLayerParams: extractConvLayerParams,
- extractResidualLayerParams: extractResidualLayerParams
- };
-}
-function extractParamsFromWeigthMap(weightMap) {
- var paramMappings = [];
- var _a = extractorsFactory(weightMap, paramMappings), extractConvLayerParams = _a.extractConvLayerParams, extractResidualLayerParams = _a.extractResidualLayerParams;
- var conv32_down = extractConvLayerParams('conv32_down');
- var conv32_1 = extractResidualLayerParams('conv32_1');
- var conv32_2 = extractResidualLayerParams('conv32_2');
- var conv32_3 = extractResidualLayerParams('conv32_3');
- var conv64_down = extractResidualLayerParams('conv64_down');
- var conv64_1 = extractResidualLayerParams('conv64_1');
- var conv64_2 = extractResidualLayerParams('conv64_2');
- var conv64_3 = extractResidualLayerParams('conv64_3');
- var conv128_down = extractResidualLayerParams('conv128_down');
- var conv128_1 = extractResidualLayerParams('conv128_1');
- var conv128_2 = extractResidualLayerParams('conv128_2');
- var conv256_down = extractResidualLayerParams('conv256_down');
- var conv256_1 = extractResidualLayerParams('conv256_1');
- var conv256_2 = extractResidualLayerParams('conv256_2');
- var conv256_down_out = extractResidualLayerParams('conv256_down_out');
- var fc = weightMap['fc'];
- paramMappings.push({ originalPath: 'fc', paramPath: 'fc' });
- if (!tfjs_image_recognition_base_1.isTensor2D(fc)) {
- throw new Error("expected weightMap[fc] to be a Tensor2D, instead have " + fc);
- }
- var params = {
- conv32_down: conv32_down,
- conv32_1: conv32_1,
- conv32_2: conv32_2,
- conv32_3: conv32_3,
- conv64_down: conv64_down,
- conv64_1: conv64_1,
- conv64_2: conv64_2,
- conv64_3: conv64_3,
- conv128_down: conv128_down,
- conv128_1: conv128_1,
- conv128_2: conv128_2,
- conv256_down: conv256_down,
- conv256_1: conv256_1,
- conv256_2: conv256_2,
- conv256_down_out: conv256_down_out,
- fc: fc
- };
- tfjs_image_recognition_base_1.TfjsImageRecognitionBase.disposeUnusedWeightTensors(weightMap, paramMappings);
- return { params: params, paramMappings: paramMappings };
-}
-exports.extractParamsFromWeigthMap = extractParamsFromWeigthMap;
-//# sourceMappingURL=extractParamsFromWeigthMap.js.map
\ No newline at end of file
diff --git a/build/commonjs/faceRecognitionNet/extractParamsFromWeigthMap.js.map b/build/commonjs/faceRecognitionNet/extractParamsFromWeigthMap.js.map
deleted file mode 100644
index 3f512874..00000000
--- a/build/commonjs/faceRecognitionNet/extractParamsFromWeigthMap.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"extractParamsFromWeigthMap.js","sourceRoot":"","sources":["../../../src/faceRecognitionNet/extractParamsFromWeigthMap.ts"],"names":[],"mappings":";;AACA,2EAAmF;AAInF,SAAS,iBAAiB,CAAC,SAAc,EAAE,aAAsD;IAE/F,IAAM,kBAAkB,GAAG,sDAAwB,CAAC,yBAAyB,CAAC,SAAS,EAAE,aAAa,CAAC,CAAA;IAEvG,SAAS,uBAAuB,CAAC,MAAc;QAE7C,IAAM,OAAO,GAAG,kBAAkB,CAAiB,MAAM,mBAAgB,EAAE,CAAC,CAAC,CAAA;QAC7E,IAAM,MAAM,GAAG,kBAAkB,CAAiB,MAAM,kBAAe,EAAE,CAAC,CAAC,CAAA;QAE3E,OAAO,EAAE,OAAO,SAAA,EAAE,MAAM,QAAA,EAAE,CAAA;IAC5B,CAAC;IAED,SAAS,sBAAsB,CAAC,MAAc;QAE5C,IAAM,OAAO,GAAG,kBAAkB,CAAiB,MAAM,kBAAe,EAAE,CAAC,CAAC,CAAA;QAC5E,IAAM,IAAI,GAAG,kBAAkB,CAAiB,MAAM,eAAY,EAAE,CAAC,CAAC,CAAA;QACtE,IAAM,KAAK,GAAG,uBAAuB,CAAC,MAAM,CAAC,CAAA;QAE7C,OAAO,EAAE,IAAI,EAAE,EAAE,OAAO,SAAA,EAAE,IAAI,MAAA,EAAE,EAAE,KAAK,OAAA,EAAE,CAAA;IAC3C,CAAC;IAED,SAAS,0BAA0B,CAAC,MAAc;QAChD,OAAO;YACL,KAAK,EAAE,sBAAsB,CAAI,MAAM,WAAQ,CAAC;YAChD,KAAK,EAAE,sBAAsB,CAAI,MAAM,WAAQ,CAAC;SACjD,CAAA;IACH,CAAC;IAED,OAAO;QACL,sBAAsB,wBAAA;QACtB,0BAA0B,4BAAA;KAC3B,CAAA;AAEH,CAAC;AAED,SAAgB,0BAA0B,CACxC,SAA4B;IAG5B,IAAM,aAAa,GAA4C,EAAE,CAAA;IAE3D,IAAA,gDAGyC,EAF7C,kDAAsB,EACtB,0DAC6C,CAAA;IAE/C,IAAM,WAAW,GAAG,sBAAsB,CAAC,aAAa,CAAC,CAAA;IACzD,IAAM,QAAQ,GAAG,0BAA0B,CAAC,UAAU,CAAC,CAAA;IACvD,IAAM,QAAQ,GAAG,0BAA0B,CAAC,UAAU,CAAC,CAAA;IACvD,IAAM,QAAQ,GAAG,0BAA0B,CAAC,UAAU,CAAC,CAAA;IAEvD,IAAM,WAAW,GAAG,0BAA0B,CAAC,aAAa,CAAC,CAAA;IAC7D,IAAM,QAAQ,GAAG,0BAA0B,CAAC,UAAU,CAAC,CAAA;IACvD,IAAM,QAAQ,GAAG,0BAA0B,CAAC,UAAU,CAAC,CAAA;IACvD,IAAM,QAAQ,GAAG,0BAA0B,CAAC,UAAU,CAAC,CAAA;IAEvD,IAAM,YAAY,GAAG,0BAA0B,CAAC,cAAc,CAAC,CAAA;IAC/D,IAAM,SAAS,GAAG,0BAA0B,CAAC,WAAW,CAAC,CAAA;IACzD,IAAM,SAAS,GAAG,0BAA0B,CAAC,WAAW,CAAC,CAAA;IAEzD,IAAM,YAAY,GAAG,0BAA0B,CAAC,cAAc,CAAC,CAAA;IAC/D,IAAM,SAAS,GAAG,0BAA0B,CAAC,WAAW,CAAC,CAAA;IACzD,IAAM,SAAS,GAAG,0BAA0B,CAAC,WAAW,CAAC,CAAA;IACzD,IAAM,gBAAgB,GAAG,0BAA0B,CAAC,kBAAkB,CAAC,CAAA;IAEvE,IAAM,EAAE,GAAG,SAAS,CAAC,IAAI,CAAC,CAAA;IAC1B,aAAa,CAAC,IAAI,CAAC,EAAE,YAAY,EAAE,IAAI,EAAE,SAAS,EAAE,IAAI,EAAE,CAAC,CAAA;IAE3D,IAAI,CAAC,wCAAU,CAAC,EAAE,CAAC,EAAE;QACnB,MAAM,IAAI,KAAK,CAAC,2DAAyD,EAAI,CAAC,CAAA;KAC/E;IAED,IAAM,MAAM,GAAG;QACb,WAAW,aAAA;QACX,QAAQ,UAAA;QACR,QAAQ,UAAA;QACR,QAAQ,UAAA;QACR,WAAW,aAAA;QACX,QAAQ,UAAA;QACR,QAAQ,UAAA;QACR,QAAQ,UAAA;QACR,YAAY,cAAA;QACZ,SAAS,WAAA;QACT,SAAS,WAAA;QACT,YAAY,cAAA;QACZ,SAAS,WAAA;QACT,SAAS,WAAA;QACT,gBAAgB,kBAAA;QAChB,EAAE,IAAA;KACH,CAAA;IAED,sDAAwB,CAAC,0BAA0B,CAAC,SAAS,EAAE,aAAa,CAAC,CAAA;IAE7E,OAAO,EAAE,MAAM,QAAA,EAAE,aAAa,eAAA,EAAE,CAAA;AAClC,CAAC;AA3DD,gEA2DC"}
\ No newline at end of file
diff --git a/build/commonjs/faceRecognitionNet/index.d.ts b/build/commonjs/faceRecognitionNet/index.d.ts
deleted file mode 100644
index 487d6af4..00000000
--- a/build/commonjs/faceRecognitionNet/index.d.ts
+++ /dev/null
@@ -1,3 +0,0 @@
-import { FaceRecognitionNet } from './FaceRecognitionNet';
-export * from './FaceRecognitionNet';
-export declare function createFaceRecognitionNet(weights: Float32Array): FaceRecognitionNet;
diff --git a/build/commonjs/faceRecognitionNet/index.js b/build/commonjs/faceRecognitionNet/index.js
deleted file mode 100644
index 926218e3..00000000
--- a/build/commonjs/faceRecognitionNet/index.js
+++ /dev/null
@@ -1,12 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-var FaceRecognitionNet_1 = require("./FaceRecognitionNet");
-tslib_1.__exportStar(require("./FaceRecognitionNet"), exports);
-function createFaceRecognitionNet(weights) {
- var net = new FaceRecognitionNet_1.FaceRecognitionNet();
- net.extractWeights(weights);
- return net;
-}
-exports.createFaceRecognitionNet = createFaceRecognitionNet;
-//# sourceMappingURL=index.js.map
\ No newline at end of file
diff --git a/build/commonjs/faceRecognitionNet/index.js.map b/build/commonjs/faceRecognitionNet/index.js.map
deleted file mode 100644
index 5047539f..00000000
--- a/build/commonjs/faceRecognitionNet/index.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"index.js","sourceRoot":"","sources":["../../../src/faceRecognitionNet/index.ts"],"names":[],"mappings":";;;AAAA,2DAA0D;AAE1D,+DAAqC;AAErC,SAAgB,wBAAwB,CAAC,OAAqB;IAC5D,IAAM,GAAG,GAAG,IAAI,uCAAkB,EAAE,CAAA;IACpC,GAAG,CAAC,cAAc,CAAC,OAAO,CAAC,CAAA;IAC3B,OAAO,GAAG,CAAA;AACZ,CAAC;AAJD,4DAIC"}
\ No newline at end of file
diff --git a/build/commonjs/faceRecognitionNet/residualLayer.d.ts b/build/commonjs/faceRecognitionNet/residualLayer.d.ts
deleted file mode 100644
index 1656e0a0..00000000
--- a/build/commonjs/faceRecognitionNet/residualLayer.d.ts
+++ /dev/null
@@ -1,4 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { ResidualLayerParams } from './types';
-export declare function residual(x: tf.Tensor4D, params: ResidualLayerParams): tf.Tensor4D;
-export declare function residualDown(x: tf.Tensor4D, params: ResidualLayerParams): tf.Tensor4D;
diff --git a/build/commonjs/faceRecognitionNet/residualLayer.js b/build/commonjs/faceRecognitionNet/residualLayer.js
deleted file mode 100644
index 04c60b23..00000000
--- a/build/commonjs/faceRecognitionNet/residualLayer.js
+++ /dev/null
@@ -1,36 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tf = require("@tensorflow/tfjs-core");
-var convLayer_1 = require("./convLayer");
-function residual(x, params) {
- var out = convLayer_1.conv(x, params.conv1);
- out = convLayer_1.convNoRelu(out, params.conv2);
- out = tf.add(out, x);
- out = tf.relu(out);
- return out;
-}
-exports.residual = residual;
-function residualDown(x, params) {
- var out = convLayer_1.convDown(x, params.conv1);
- out = convLayer_1.convNoRelu(out, params.conv2);
- var pooled = tf.avgPool(x, 2, 2, 'valid');
- var zeros = tf.zeros(pooled.shape);
- var isPad = pooled.shape[3] !== out.shape[3];
- var isAdjustShape = pooled.shape[1] !== out.shape[1] || pooled.shape[2] !== out.shape[2];
- if (isAdjustShape) {
- var padShapeX = out.shape.slice();
- padShapeX[1] = 1;
- var zerosW = tf.zeros(padShapeX);
- out = tf.concat([out, zerosW], 1);
- var padShapeY = out.shape.slice();
- padShapeY[2] = 1;
- var zerosH = tf.zeros(padShapeY);
- out = tf.concat([out, zerosH], 2);
- }
- pooled = isPad ? tf.concat([pooled, zeros], 3) : pooled;
- out = tf.add(pooled, out);
- out = tf.relu(out);
- return out;
-}
-exports.residualDown = residualDown;
-//# sourceMappingURL=residualLayer.js.map
\ No newline at end of file
diff --git a/build/commonjs/faceRecognitionNet/residualLayer.js.map b/build/commonjs/faceRecognitionNet/residualLayer.js.map
deleted file mode 100644
index 7577f722..00000000
--- a/build/commonjs/faceRecognitionNet/residualLayer.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"residualLayer.js","sourceRoot":"","sources":["../../../src/faceRecognitionNet/residualLayer.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAE5C,yCAAyD;AAGzD,SAAgB,QAAQ,CAAC,CAAc,EAAE,MAA2B;IAClE,IAAI,GAAG,GAAG,gBAAI,CAAC,CAAC,EAAE,MAAM,CAAC,KAAK,CAAC,CAAA;IAC/B,GAAG,GAAG,sBAAU,CAAC,GAAG,EAAE,MAAM,CAAC,KAAK,CAAC,CAAA;IACnC,GAAG,GAAG,EAAE,CAAC,GAAG,CAAC,GAAG,EAAE,CAAC,CAAC,CAAA;IACpB,GAAG,GAAG,EAAE,CAAC,IAAI,CAAC,GAAG,CAAC,CAAA;IAClB,OAAO,GAAG,CAAA;AACZ,CAAC;AAND,4BAMC;AAED,SAAgB,YAAY,CAAC,CAAc,EAAE,MAA2B;IACtE,IAAI,GAAG,GAAG,oBAAQ,CAAC,CAAC,EAAE,MAAM,CAAC,KAAK,CAAC,CAAA;IACnC,GAAG,GAAG,sBAAU,CAAC,GAAG,EAAE,MAAM,CAAC,KAAK,CAAC,CAAA;IAEnC,IAAI,MAAM,GAAG,EAAE,CAAC,OAAO,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,OAAO,CAAgB,CAAA;IACxD,IAAM,KAAK,GAAG,EAAE,CAAC,KAAK,CAAa,MAAM,CAAC,KAAK,CAAC,CAAA;IAChD,IAAM,KAAK,GAAG,MAAM,CAAC,KAAK,CAAC,CAAC,CAAC,KAAK,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,CAAA;IAC9C,IAAM,aAAa,GAAG,MAAM,CAAC,KAAK,CAAC,CAAC,CAAC,KAAK,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,IAAI,MAAM,CAAC,KAAK,CAAC,CAAC,CAAC,KAAK,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,CAAA;IAE1F,IAAI,aAAa,EAAE;QACjB,IAAM,SAAS,GAAO,GAAG,CAAC,KAAK,QAAqC,CAAA;QACpE,SAAS,CAAC,CAAC,CAAC,GAAG,CAAC,CAAA;QAChB,IAAM,MAAM,GAAG,EAAE,CAAC,KAAK,CAAa,SAAS,CAAC,CAAA;QAC9C,GAAG,GAAG,EAAE,CAAC,MAAM,CAAC,CAAC,GAAG,EAAE,MAAM,CAAC,EAAE,CAAC,CAAC,CAAA;QAEjC,IAAM,SAAS,GAAO,GAAG,CAAC,KAAK,QAAqC,CAAA;QACpE,SAAS,CAAC,CAAC,CAAC,GAAG,CAAC,CAAA;QAChB,IAAM,MAAM,GAAG,EAAE,CAAC,KAAK,CAAa,SAAS,CAAC,CAAA;QAC9C,GAAG,GAAG,EAAE,CAAC,MAAM,CAAC,CAAC,GAAG,EAAE,MAAM,CAAC,EAAE,CAAC,CAAC,CAAA;KAClC;IAED,MAAM,GAAG,KAAK,CAAC,CAAC,CAAC,EAAE,CAAC,MAAM,CAAC,CAAC,MAAM,EAAE,KAAK,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,MAAM,CAAA;IACvD,GAAG,GAAG,EAAE,CAAC,GAAG,CAAC,MAAM,EAAE,GAAG,CAAgB,CAAA;IAExC,GAAG,GAAG,EAAE,CAAC,IAAI,CAAC,GAAG,CAAC,CAAA;IAClB,OAAO,GAAG,CAAA;AACZ,CAAC;AA1BD,oCA0BC"}
\ No newline at end of file
diff --git a/build/commonjs/faceRecognitionNet/scaleLayer.d.ts b/build/commonjs/faceRecognitionNet/scaleLayer.d.ts
deleted file mode 100644
index 07a866ea..00000000
--- a/build/commonjs/faceRecognitionNet/scaleLayer.d.ts
+++ /dev/null
@@ -1,3 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { ScaleLayerParams } from './types';
-export declare function scale(x: tf.Tensor4D, params: ScaleLayerParams): tf.Tensor4D;
diff --git a/build/commonjs/faceRecognitionNet/scaleLayer.js b/build/commonjs/faceRecognitionNet/scaleLayer.js
deleted file mode 100644
index e00e7958..00000000
--- a/build/commonjs/faceRecognitionNet/scaleLayer.js
+++ /dev/null
@@ -1,8 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tf = require("@tensorflow/tfjs-core");
-function scale(x, params) {
- return tf.add(tf.mul(x, params.weights), params.biases);
-}
-exports.scale = scale;
-//# sourceMappingURL=scaleLayer.js.map
\ No newline at end of file
diff --git a/build/commonjs/faceRecognitionNet/scaleLayer.js.map b/build/commonjs/faceRecognitionNet/scaleLayer.js.map
deleted file mode 100644
index f68f8974..00000000
--- a/build/commonjs/faceRecognitionNet/scaleLayer.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"scaleLayer.js","sourceRoot":"","sources":["../../../src/faceRecognitionNet/scaleLayer.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAI5C,SAAgB,KAAK,CAAC,CAAc,EAAE,MAAwB;IAC5D,OAAO,EAAE,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,CAAC,CAAC,EAAE,MAAM,CAAC,OAAO,CAAC,EAAE,MAAM,CAAC,MAAM,CAAC,CAAA;AACzD,CAAC;AAFD,sBAEC"}
\ No newline at end of file
diff --git a/build/commonjs/faceRecognitionNet/types.d.ts b/build/commonjs/faceRecognitionNet/types.d.ts
deleted file mode 100644
index a390ee87..00000000
--- a/build/commonjs/faceRecognitionNet/types.d.ts
+++ /dev/null
@@ -1,32 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-export declare type ScaleLayerParams = {
- weights: tf.Tensor1D;
- biases: tf.Tensor1D;
-};
-export declare type ResidualLayerParams = {
- conv1: ConvLayerParams;
- conv2: ConvLayerParams;
-};
-export declare type ConvLayerParams = {
- conv: TfjsImageRecognitionBase.ConvParams;
- scale: ScaleLayerParams;
-};
-export declare type NetParams = {
- conv32_down: ConvLayerParams;
- conv32_1: ResidualLayerParams;
- conv32_2: ResidualLayerParams;
- conv32_3: ResidualLayerParams;
- conv64_down: ResidualLayerParams;
- conv64_1: ResidualLayerParams;
- conv64_2: ResidualLayerParams;
- conv64_3: ResidualLayerParams;
- conv128_down: ResidualLayerParams;
- conv128_1: ResidualLayerParams;
- conv128_2: ResidualLayerParams;
- conv256_down: ResidualLayerParams;
- conv256_1: ResidualLayerParams;
- conv256_2: ResidualLayerParams;
- conv256_down_out: ResidualLayerParams;
- fc: tf.Tensor2D;
-};
diff --git a/build/commonjs/faceRecognitionNet/types.js b/build/commonjs/faceRecognitionNet/types.js
deleted file mode 100644
index 11e638d1..00000000
--- a/build/commonjs/faceRecognitionNet/types.js
+++ /dev/null
@@ -1,3 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-//# sourceMappingURL=types.js.map
\ No newline at end of file
diff --git a/build/commonjs/faceRecognitionNet/types.js.map b/build/commonjs/faceRecognitionNet/types.js.map
deleted file mode 100644
index 3e899768..00000000
--- a/build/commonjs/faceRecognitionNet/types.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"types.js","sourceRoot":"","sources":["../../../src/faceRecognitionNet/types.ts"],"names":[],"mappings":""}
\ No newline at end of file
diff --git a/build/commonjs/factories/WithFaceDescriptor.d.ts b/build/commonjs/factories/WithFaceDescriptor.d.ts
deleted file mode 100644
index 45175ba6..00000000
--- a/build/commonjs/factories/WithFaceDescriptor.d.ts
+++ /dev/null
@@ -1,4 +0,0 @@
-export declare type WithFaceDescriptor = TSource & {
- descriptor: Float32Array;
-};
-export declare function extendWithFaceDescriptor(sourceObj: TSource, descriptor: Float32Array): WithFaceDescriptor;
diff --git a/build/commonjs/factories/WithFaceDescriptor.js b/build/commonjs/factories/WithFaceDescriptor.js
deleted file mode 100644
index 72a97ed5..00000000
--- a/build/commonjs/factories/WithFaceDescriptor.js
+++ /dev/null
@@ -1,8 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-function extendWithFaceDescriptor(sourceObj, descriptor) {
- var extension = { descriptor: descriptor };
- return Object.assign({}, sourceObj, extension);
-}
-exports.extendWithFaceDescriptor = extendWithFaceDescriptor;
-//# sourceMappingURL=WithFaceDescriptor.js.map
\ No newline at end of file
diff --git a/build/commonjs/factories/WithFaceDescriptor.js.map b/build/commonjs/factories/WithFaceDescriptor.js.map
deleted file mode 100644
index cf9f56ab..00000000
--- a/build/commonjs/factories/WithFaceDescriptor.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"WithFaceDescriptor.js","sourceRoot":"","sources":["../../../src/factories/WithFaceDescriptor.ts"],"names":[],"mappings":";;AAIA,SAAgB,wBAAwB,CAGtC,SAAkB,EAClB,UAAwB;IAGxB,IAAM,SAAS,GAAG,EAAE,UAAU,YAAA,EAAE,CAAA;IAChC,OAAO,MAAM,CAAC,MAAM,CAAC,EAAE,EAAE,SAAS,EAAE,SAAS,CAAC,CAAA;AAChD,CAAC;AATD,4DASC"}
\ No newline at end of file
diff --git a/build/commonjs/factories/WithFaceDetection.d.ts b/build/commonjs/factories/WithFaceDetection.d.ts
deleted file mode 100644
index dd91b175..00000000
--- a/build/commonjs/factories/WithFaceDetection.d.ts
+++ /dev/null
@@ -1,5 +0,0 @@
-import { FaceDetection } from '../classes/FaceDetection';
-export declare type WithFaceDetection = TSource & {
- detection: FaceDetection;
-};
-export declare function extendWithFaceDetection(sourceObj: TSource, detection: FaceDetection): WithFaceDetection;
diff --git a/build/commonjs/factories/WithFaceDetection.js b/build/commonjs/factories/WithFaceDetection.js
deleted file mode 100644
index 2dc7bc7b..00000000
--- a/build/commonjs/factories/WithFaceDetection.js
+++ /dev/null
@@ -1,8 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-function extendWithFaceDetection(sourceObj, detection) {
- var extension = { detection: detection };
- return Object.assign({}, sourceObj, extension);
-}
-exports.extendWithFaceDetection = extendWithFaceDetection;
-//# sourceMappingURL=WithFaceDetection.js.map
\ No newline at end of file
diff --git a/build/commonjs/factories/WithFaceDetection.js.map b/build/commonjs/factories/WithFaceDetection.js.map
deleted file mode 100644
index d5943666..00000000
--- a/build/commonjs/factories/WithFaceDetection.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"WithFaceDetection.js","sourceRoot":"","sources":["../../../src/factories/WithFaceDetection.ts"],"names":[],"mappings":";;AAMA,SAAgB,uBAAuB,CAGrC,SAAkB,EAClB,SAAwB;IAGxB,IAAM,SAAS,GAAG,EAAE,SAAS,WAAA,EAAE,CAAA;IAC/B,OAAO,MAAM,CAAC,MAAM,CAAC,EAAE,EAAE,SAAS,EAAE,SAAS,CAAC,CAAA;AAChD,CAAC;AATD,0DASC"}
\ No newline at end of file
diff --git a/build/commonjs/factories/WithFaceExpressions.d.ts b/build/commonjs/factories/WithFaceExpressions.d.ts
deleted file mode 100644
index 2309d8ea..00000000
--- a/build/commonjs/factories/WithFaceExpressions.d.ts
+++ /dev/null
@@ -1,5 +0,0 @@
-import { FaceExpressionPrediction } from '../faceExpressionNet/types';
-export declare type WithFaceExpressions = TSource & {
- expressions: FaceExpressionPrediction[];
-};
-export declare function extendWithFaceExpressions(sourceObj: TSource, expressions: FaceExpressionPrediction[]): WithFaceExpressions;
diff --git a/build/commonjs/factories/WithFaceExpressions.js b/build/commonjs/factories/WithFaceExpressions.js
deleted file mode 100644
index 84a6fa73..00000000
--- a/build/commonjs/factories/WithFaceExpressions.js
+++ /dev/null
@@ -1,8 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-function extendWithFaceExpressions(sourceObj, expressions) {
- var extension = { expressions: expressions };
- return Object.assign({}, sourceObj, extension);
-}
-exports.extendWithFaceExpressions = extendWithFaceExpressions;
-//# sourceMappingURL=WithFaceExpressions.js.map
\ No newline at end of file
diff --git a/build/commonjs/factories/WithFaceExpressions.js.map b/build/commonjs/factories/WithFaceExpressions.js.map
deleted file mode 100644
index cd9187cc..00000000
--- a/build/commonjs/factories/WithFaceExpressions.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"WithFaceExpressions.js","sourceRoot":"","sources":["../../../src/factories/WithFaceExpressions.ts"],"names":[],"mappings":";;AAMA,SAAgB,yBAAyB,CAGvC,SAAkB,EAClB,WAAuC;IAGvC,IAAM,SAAS,GAAG,EAAE,WAAW,aAAA,EAAE,CAAA;IACjC,OAAO,MAAM,CAAC,MAAM,CAAC,EAAE,EAAE,SAAS,EAAE,SAAS,CAAC,CAAA;AAChD,CAAC;AATD,8DASC"}
\ No newline at end of file
diff --git a/build/commonjs/factories/WithFaceLandmarks.d.ts b/build/commonjs/factories/WithFaceLandmarks.d.ts
deleted file mode 100644
index 36840d24..00000000
--- a/build/commonjs/factories/WithFaceLandmarks.d.ts
+++ /dev/null
@@ -1,10 +0,0 @@
-import { FaceDetection } from '../classes/FaceDetection';
-import { FaceLandmarks } from '../classes/FaceLandmarks';
-import { FaceLandmarks68 } from '../classes/FaceLandmarks68';
-import { WithFaceDetection } from './WithFaceDetection';
-export declare type WithFaceLandmarks, TFaceLandmarks extends FaceLandmarks = FaceLandmarks68> = TSource & {
- landmarks: TFaceLandmarks;
- unshiftedLandmarks: TFaceLandmarks;
- alignedRect: FaceDetection;
-};
-export declare function extendWithFaceLandmarks, TFaceLandmarks extends FaceLandmarks = FaceLandmarks68>(sourceObj: TSource, unshiftedLandmarks: TFaceLandmarks): WithFaceLandmarks;
diff --git a/build/commonjs/factories/WithFaceLandmarks.js b/build/commonjs/factories/WithFaceLandmarks.js
deleted file mode 100644
index fc7ca0f9..00000000
--- a/build/commonjs/factories/WithFaceLandmarks.js
+++ /dev/null
@@ -1,18 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var FaceDetection_1 = require("../classes/FaceDetection");
-function extendWithFaceLandmarks(sourceObj, unshiftedLandmarks) {
- var shift = sourceObj.detection.box;
- var landmarks = unshiftedLandmarks.shiftBy(shift.x, shift.y);
- var rect = landmarks.align();
- var imageDims = sourceObj.detection.imageDims;
- var alignedRect = new FaceDetection_1.FaceDetection(sourceObj.detection.score, rect.rescale(imageDims.reverse()), imageDims);
- var extension = {
- landmarks: landmarks,
- unshiftedLandmarks: unshiftedLandmarks,
- alignedRect: alignedRect
- };
- return Object.assign({}, sourceObj, extension);
-}
-exports.extendWithFaceLandmarks = extendWithFaceLandmarks;
-//# sourceMappingURL=WithFaceLandmarks.js.map
\ No newline at end of file
diff --git a/build/commonjs/factories/WithFaceLandmarks.js.map b/build/commonjs/factories/WithFaceLandmarks.js.map
deleted file mode 100644
index 0624e046..00000000
--- a/build/commonjs/factories/WithFaceLandmarks.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"WithFaceLandmarks.js","sourceRoot":"","sources":["../../../src/factories/WithFaceLandmarks.ts"],"names":[],"mappings":";;AAAA,0DAAyD;AAczD,SAAgB,uBAAuB,CAIrC,SAAkB,EAClB,kBAAkC;IAG1B,IAAA,+BAAU,CAAwB;IAC1C,IAAM,SAAS,GAAG,kBAAkB,CAAC,OAAO,CAAiB,KAAK,CAAC,CAAC,EAAE,KAAK,CAAC,CAAC,CAAC,CAAA;IAE9E,IAAM,IAAI,GAAG,SAAS,CAAC,KAAK,EAAE,CAAA;IACtB,IAAA,yCAAS,CAAwB;IACzC,IAAM,WAAW,GAAG,IAAI,6BAAa,CAAC,SAAS,CAAC,SAAS,CAAC,KAAK,EAAE,IAAI,CAAC,OAAO,CAAC,SAAS,CAAC,OAAO,EAAE,CAAC,EAAE,SAAS,CAAC,CAAA;IAE9G,IAAM,SAAS,GAAG;QAChB,SAAS,WAAA;QACT,kBAAkB,oBAAA;QAClB,WAAW,aAAA;KACZ,CAAA;IAED,OAAO,MAAM,CAAC,MAAM,CAAC,EAAE,EAAE,SAAS,EAAE,SAAS,CAAC,CAAA;AAChD,CAAC;AAtBD,0DAsBC"}
\ No newline at end of file
diff --git a/build/commonjs/factories/index.d.ts b/build/commonjs/factories/index.d.ts
deleted file mode 100644
index c4b351df..00000000
--- a/build/commonjs/factories/index.d.ts
+++ /dev/null
@@ -1,4 +0,0 @@
-export * from './WithFaceDescriptor';
-export * from './WithFaceDetection';
-export * from './WithFaceExpressions';
-export * from './WithFaceLandmarks';
diff --git a/build/commonjs/factories/index.js b/build/commonjs/factories/index.js
deleted file mode 100644
index dc041752..00000000
--- a/build/commonjs/factories/index.js
+++ /dev/null
@@ -1,8 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-tslib_1.__exportStar(require("./WithFaceDescriptor"), exports);
-tslib_1.__exportStar(require("./WithFaceDetection"), exports);
-tslib_1.__exportStar(require("./WithFaceExpressions"), exports);
-tslib_1.__exportStar(require("./WithFaceLandmarks"), exports);
-//# sourceMappingURL=index.js.map
\ No newline at end of file
diff --git a/build/commonjs/factories/index.js.map b/build/commonjs/factories/index.js.map
deleted file mode 100644
index 36f22829..00000000
--- a/build/commonjs/factories/index.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"index.js","sourceRoot":"","sources":["../../../src/factories/index.ts"],"names":[],"mappings":";;;AAAA,+DAAoC;AACpC,8DAAmC;AACnC,gEAAqC;AACrC,8DAAmC"}
\ No newline at end of file
diff --git a/build/commonjs/globalApi/ComposableTask.d.ts b/build/commonjs/globalApi/ComposableTask.d.ts
deleted file mode 100644
index b7203e33..00000000
--- a/build/commonjs/globalApi/ComposableTask.d.ts
+++ /dev/null
@@ -1,4 +0,0 @@
-export declare class ComposableTask {
- then(onfulfilled: (value: T) => T | PromiseLike): Promise;
- run(): Promise;
-}
diff --git a/build/commonjs/globalApi/ComposableTask.js b/build/commonjs/globalApi/ComposableTask.js
deleted file mode 100644
index 7c111ee7..00000000
--- a/build/commonjs/globalApi/ComposableTask.js
+++ /dev/null
@@ -1,30 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-var ComposableTask = /** @class */ (function () {
- function ComposableTask() {
- }
- ComposableTask.prototype.then = function (onfulfilled) {
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- var _a;
- return tslib_1.__generator(this, function (_b) {
- switch (_b.label) {
- case 0:
- _a = onfulfilled;
- return [4 /*yield*/, this.run()];
- case 1: return [2 /*return*/, _a.apply(void 0, [_b.sent()])];
- }
- });
- });
- };
- ComposableTask.prototype.run = function () {
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- return tslib_1.__generator(this, function (_a) {
- throw new Error('ComposableTask - run is not implemented');
- });
- });
- };
- return ComposableTask;
-}());
-exports.ComposableTask = ComposableTask;
-//# sourceMappingURL=ComposableTask.js.map
\ No newline at end of file
diff --git a/build/commonjs/globalApi/ComposableTask.js.map b/build/commonjs/globalApi/ComposableTask.js.map
deleted file mode 100644
index 97bdd610..00000000
--- a/build/commonjs/globalApi/ComposableTask.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"ComposableTask.js","sourceRoot":"","sources":["../../../src/globalApi/ComposableTask.ts"],"names":[],"mappings":";;;AAAA;IAAA;IAWA,CAAC;IATc,6BAAI,GAAjB,UACE,WAA6C;;;;;;wBAEtC,KAAA,WAAW,CAAA;wBAAC,qBAAM,IAAI,CAAC,GAAG,EAAE,EAAA;4BAAnC,sBAAO,kBAAY,SAAgB,EAAC,EAAA;;;;KACrC;IAEY,4BAAG,GAAhB;;;gBACE,MAAM,IAAI,KAAK,CAAC,yCAAyC,CAAC,CAAA;;;KAC3D;IACH,qBAAC;AAAD,CAAC,AAXD,IAWC;AAXY,wCAAc"}
\ No newline at end of file
diff --git a/build/commonjs/globalApi/ComputeFaceDescriptorsTasks.d.ts b/build/commonjs/globalApi/ComputeFaceDescriptorsTasks.d.ts
deleted file mode 100644
index 3cf96b39..00000000
--- a/build/commonjs/globalApi/ComputeFaceDescriptorsTasks.d.ts
+++ /dev/null
@@ -1,16 +0,0 @@
-import { TNetInput } from 'tfjs-image-recognition-base';
-import { WithFaceDescriptor } from '../factories/WithFaceDescriptor';
-import { WithFaceDetection } from '../factories/WithFaceDetection';
-import { WithFaceLandmarks } from '../factories/WithFaceLandmarks';
-import { ComposableTask } from './ComposableTask';
-export declare class ComputeFaceDescriptorsTaskBase extends ComposableTask {
- protected parentTask: ComposableTask | Promise;
- protected input: TNetInput;
- constructor(parentTask: ComposableTask | Promise, input: TNetInput);
-}
-export declare class ComputeAllFaceDescriptorsTask>> extends ComputeFaceDescriptorsTaskBase[], TSource[]> {
- run(): Promise[]>;
-}
-export declare class ComputeSingleFaceDescriptorTask>> extends ComputeFaceDescriptorsTaskBase | undefined, TSource | undefined> {
- run(): Promise | undefined>;
-}
diff --git a/build/commonjs/globalApi/ComputeFaceDescriptorsTasks.js b/build/commonjs/globalApi/ComputeFaceDescriptorsTasks.js
deleted file mode 100644
index 79bc63e6..00000000
--- a/build/commonjs/globalApi/ComputeFaceDescriptorsTasks.js
+++ /dev/null
@@ -1,111 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-var tf = require("@tensorflow/tfjs-core");
-var dom_1 = require("../dom");
-var WithFaceDescriptor_1 = require("../factories/WithFaceDescriptor");
-var ComposableTask_1 = require("./ComposableTask");
-var nets_1 = require("./nets");
-var ComputeFaceDescriptorsTaskBase = /** @class */ (function (_super) {
- tslib_1.__extends(ComputeFaceDescriptorsTaskBase, _super);
- function ComputeFaceDescriptorsTaskBase(parentTask, input) {
- var _this = _super.call(this) || this;
- _this.parentTask = parentTask;
- _this.input = input;
- return _this;
- }
- return ComputeFaceDescriptorsTaskBase;
-}(ComposableTask_1.ComposableTask));
-exports.ComputeFaceDescriptorsTaskBase = ComputeFaceDescriptorsTaskBase;
-var ComputeAllFaceDescriptorsTask = /** @class */ (function (_super) {
- tslib_1.__extends(ComputeAllFaceDescriptorsTask, _super);
- function ComputeAllFaceDescriptorsTask() {
- return _super !== null && _super.apply(this, arguments) || this;
- }
- ComputeAllFaceDescriptorsTask.prototype.run = function () {
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- var parentResults, alignedRects, alignedFaces, _a, results;
- var _this = this;
- return tslib_1.__generator(this, function (_b) {
- switch (_b.label) {
- case 0: return [4 /*yield*/, this.parentTask];
- case 1:
- parentResults = _b.sent();
- alignedRects = parentResults.map(function (_a) {
- var alignedRect = _a.alignedRect;
- return alignedRect;
- });
- if (!(this.input instanceof tf.Tensor)) return [3 /*break*/, 3];
- return [4 /*yield*/, dom_1.extractFaceTensors(this.input, alignedRects)];
- case 2:
- _a = _b.sent();
- return [3 /*break*/, 5];
- case 3: return [4 /*yield*/, dom_1.extractFaces(this.input, alignedRects)];
- case 4:
- _a = _b.sent();
- _b.label = 5;
- case 5:
- alignedFaces = _a;
- return [4 /*yield*/, Promise.all(parentResults.map(function (parentResult, i) { return tslib_1.__awaiter(_this, void 0, void 0, function () {
- var descriptor;
- return tslib_1.__generator(this, function (_a) {
- switch (_a.label) {
- case 0: return [4 /*yield*/, nets_1.nets.faceRecognitionNet.computeFaceDescriptor(alignedFaces[i])];
- case 1:
- descriptor = _a.sent();
- return [2 /*return*/, WithFaceDescriptor_1.extendWithFaceDescriptor(parentResult, descriptor)];
- }
- });
- }); }))];
- case 6:
- results = _b.sent();
- alignedFaces.forEach(function (f) { return f instanceof tf.Tensor && f.dispose(); });
- return [2 /*return*/, results];
- }
- });
- });
- };
- return ComputeAllFaceDescriptorsTask;
-}(ComputeFaceDescriptorsTaskBase));
-exports.ComputeAllFaceDescriptorsTask = ComputeAllFaceDescriptorsTask;
-var ComputeSingleFaceDescriptorTask = /** @class */ (function (_super) {
- tslib_1.__extends(ComputeSingleFaceDescriptorTask, _super);
- function ComputeSingleFaceDescriptorTask() {
- return _super !== null && _super.apply(this, arguments) || this;
- }
- ComputeSingleFaceDescriptorTask.prototype.run = function () {
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- var parentResult, alignedRect, alignedFaces, _a, descriptor;
- return tslib_1.__generator(this, function (_b) {
- switch (_b.label) {
- case 0: return [4 /*yield*/, this.parentTask];
- case 1:
- parentResult = _b.sent();
- if (!parentResult) {
- return [2 /*return*/];
- }
- alignedRect = parentResult.alignedRect;
- if (!(this.input instanceof tf.Tensor)) return [3 /*break*/, 3];
- return [4 /*yield*/, dom_1.extractFaceTensors(this.input, [alignedRect])];
- case 2:
- _a = _b.sent();
- return [3 /*break*/, 5];
- case 3: return [4 /*yield*/, dom_1.extractFaces(this.input, [alignedRect])];
- case 4:
- _a = _b.sent();
- _b.label = 5;
- case 5:
- alignedFaces = _a;
- return [4 /*yield*/, nets_1.nets.faceRecognitionNet.computeFaceDescriptor(alignedFaces[0])];
- case 6:
- descriptor = _b.sent();
- alignedFaces.forEach(function (f) { return f instanceof tf.Tensor && f.dispose(); });
- return [2 /*return*/, WithFaceDescriptor_1.extendWithFaceDescriptor(parentResult, descriptor)];
- }
- });
- });
- };
- return ComputeSingleFaceDescriptorTask;
-}(ComputeFaceDescriptorsTaskBase));
-exports.ComputeSingleFaceDescriptorTask = ComputeSingleFaceDescriptorTask;
-//# sourceMappingURL=ComputeFaceDescriptorsTasks.js.map
\ No newline at end of file
diff --git a/build/commonjs/globalApi/ComputeFaceDescriptorsTasks.js.map b/build/commonjs/globalApi/ComputeFaceDescriptorsTasks.js.map
deleted file mode 100644
index fe1d225f..00000000
--- a/build/commonjs/globalApi/ComputeFaceDescriptorsTasks.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"ComputeFaceDescriptorsTasks.js","sourceRoot":"","sources":["../../../src/globalApi/ComputeFaceDescriptorsTasks.ts"],"names":[],"mappings":";;;AAAA,0CAA4C;AAG5C,8BAA0D;AAC1D,sEAA+F;AAG/F,mDAAkD;AAClD,+BAA8B;AAE9B;IAA4E,0DAAuB;IACjG,wCACY,UAAkE,EAClE,KAAgB;QAF5B,YAIE,iBAAO,SACR;QAJW,gBAAU,GAAV,UAAU,CAAwD;QAClE,WAAK,GAAL,KAAK,CAAW;;IAG5B,CAAC;IACH,qCAAC;AAAD,CAAC,AAPD,CAA4E,+BAAc,GAOzF;AAPY,wEAA8B;AAS3C;IAEU,yDAAwE;IAFlF;;IAsBA,CAAC;IAlBc,2CAAG,GAAhB;;;;;;4BAEwB,qBAAM,IAAI,CAAC,UAAU,EAAA;;wBAArC,aAAa,GAAG,SAAqB;wBAErC,YAAY,GAAG,aAAa,CAAC,GAAG,CAAC,UAAC,EAAe;gCAAb,4BAAW;4BAAO,OAAA,WAAW;wBAAX,CAAW,CAAC,CAAA;6BACX,CAAA,IAAI,CAAC,KAAK,YAAY,EAAE,CAAC,MAAM,CAAA,EAA/B,wBAA+B;wBACxF,qBAAM,wBAAkB,CAAC,IAAI,CAAC,KAAK,EAAE,YAAY,CAAC,EAAA;;wBAAlD,KAAA,SAAkD,CAAA;;4BAClD,qBAAM,kBAAY,CAAC,IAAI,CAAC,KAAK,EAAE,YAAY,CAAC,EAAA;;wBAA5C,KAAA,SAA4C,CAAA;;;wBAF1C,YAAY,KAE8B;wBAEhC,qBAAM,OAAO,CAAC,GAAG,CAAC,aAAa,CAAC,GAAG,CAAC,UAAO,YAAY,EAAE,CAAC;;;;gDACrD,qBAAM,WAAI,CAAC,kBAAkB,CAAC,qBAAqB,CAAC,YAAY,CAAC,CAAC,CAAC,CAAC,EAAA;;4CAAjF,UAAU,GAAG,SAAoF;4CACvG,sBAAO,6CAAwB,CAAU,YAAY,EAAE,UAAU,CAAC,EAAA;;;iCACnE,CAAC,CAAC,EAAA;;wBAHG,OAAO,GAAG,SAGb;wBAEH,YAAY,CAAC,OAAO,CAAC,UAAA,CAAC,IAAI,OAAA,CAAC,YAAY,EAAE,CAAC,MAAM,IAAI,CAAC,CAAC,OAAO,EAAE,EAArC,CAAqC,CAAC,CAAA;wBAEhE,sBAAO,OAAO,EAAA;;;;KACf;IACH,oCAAC;AAAD,CAAC,AAtBD,CAEU,8BAA8B,GAoBvC;AAtBY,sEAA6B;AAwB1C;IAEU,2DAA4F;IAFtG;;IAqBA,CAAC;IAjBc,6CAAG,GAAhB;;;;;4BAEuB,qBAAM,IAAI,CAAC,UAAU,EAAA;;wBAApC,YAAY,GAAG,SAAqB;wBAC1C,IAAI,CAAC,YAAY,EAAE;4BACjB,sBAAM;yBACP;wBAEO,WAAW,GAAK,YAAY,YAAjB,CAAiB;6BACyB,CAAA,IAAI,CAAC,KAAK,YAAY,EAAE,CAAC,MAAM,CAAA,EAA/B,wBAA+B;wBACxF,qBAAM,wBAAkB,CAAC,IAAI,CAAC,KAAK,EAAE,CAAC,WAAW,CAAC,CAAC,EAAA;;wBAAnD,KAAA,SAAmD,CAAA;;4BACnD,qBAAM,kBAAY,CAAC,IAAI,CAAC,KAAK,EAAE,CAAC,WAAW,CAAC,CAAC,EAAA;;wBAA7C,KAAA,SAA6C,CAAA;;;wBAF3C,YAAY,KAE+B;wBAC9B,qBAAM,WAAI,CAAC,kBAAkB,CAAC,qBAAqB,CAAC,YAAY,CAAC,CAAC,CAAC,CAAC,EAAA;;wBAAjF,UAAU,GAAG,SAAoF;wBAEvG,YAAY,CAAC,OAAO,CAAC,UAAA,CAAC,IAAI,OAAA,CAAC,YAAY,EAAE,CAAC,MAAM,IAAI,CAAC,CAAC,OAAO,EAAE,EAArC,CAAqC,CAAC,CAAA;wBAEhE,sBAAO,6CAAwB,CAAC,YAAY,EAAE,UAAU,CAAC,EAAA;;;;KAC1D;IACH,sCAAC;AAAD,CAAC,AArBD,CAEU,8BAA8B,GAmBvC;AArBY,0EAA+B"}
\ No newline at end of file
diff --git a/build/commonjs/globalApi/DetectFaceLandmarksTasks.d.ts b/build/commonjs/globalApi/DetectFaceLandmarksTasks.d.ts
deleted file mode 100644
index 2c528911..00000000
--- a/build/commonjs/globalApi/DetectFaceLandmarksTasks.d.ts
+++ /dev/null
@@ -1,22 +0,0 @@
-import { TNetInput } from 'tfjs-image-recognition-base';
-import { FaceLandmark68Net } from '../faceLandmarkNet/FaceLandmark68Net';
-import { FaceLandmark68TinyNet } from '../faceLandmarkNet/FaceLandmark68TinyNet';
-import { WithFaceDetection } from '../factories/WithFaceDetection';
-import { WithFaceLandmarks } from '../factories/WithFaceLandmarks';
-import { ComposableTask } from './ComposableTask';
-import { ComputeAllFaceDescriptorsTask, ComputeSingleFaceDescriptorTask } from './ComputeFaceDescriptorsTasks';
-export declare class DetectFaceLandmarksTaskBase extends ComposableTask {
- protected parentTask: ComposableTask | Promise;
- protected input: TNetInput;
- protected useTinyLandmarkNet: boolean;
- constructor(parentTask: ComposableTask | Promise, input: TNetInput, useTinyLandmarkNet: boolean);
- protected readonly landmarkNet: FaceLandmark68Net | FaceLandmark68TinyNet;
-}
-export declare class DetectAllFaceLandmarksTask> extends DetectFaceLandmarksTaskBase[], TSource[]> {
- run(): Promise[]>;
- withFaceDescriptors(): ComputeAllFaceDescriptorsTask>;
-}
-export declare class DetectSingleFaceLandmarksTask> extends DetectFaceLandmarksTaskBase | undefined, TSource | undefined> {
- run(): Promise | undefined>;
- withFaceDescriptor(): ComputeSingleFaceDescriptorTask>;
-}
diff --git a/build/commonjs/globalApi/DetectFaceLandmarksTasks.js b/build/commonjs/globalApi/DetectFaceLandmarksTasks.js
deleted file mode 100644
index ca7190e9..00000000
--- a/build/commonjs/globalApi/DetectFaceLandmarksTasks.js
+++ /dev/null
@@ -1,117 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-var tf = require("@tensorflow/tfjs-core");
-var dom_1 = require("../dom");
-var WithFaceLandmarks_1 = require("../factories/WithFaceLandmarks");
-var ComposableTask_1 = require("./ComposableTask");
-var ComputeFaceDescriptorsTasks_1 = require("./ComputeFaceDescriptorsTasks");
-var nets_1 = require("./nets");
-var DetectFaceLandmarksTaskBase = /** @class */ (function (_super) {
- tslib_1.__extends(DetectFaceLandmarksTaskBase, _super);
- function DetectFaceLandmarksTaskBase(parentTask, input, useTinyLandmarkNet) {
- var _this = _super.call(this) || this;
- _this.parentTask = parentTask;
- _this.input = input;
- _this.useTinyLandmarkNet = useTinyLandmarkNet;
- return _this;
- }
- Object.defineProperty(DetectFaceLandmarksTaskBase.prototype, "landmarkNet", {
- get: function () {
- return this.useTinyLandmarkNet
- ? nets_1.nets.faceLandmark68TinyNet
- : nets_1.nets.faceLandmark68Net;
- },
- enumerable: true,
- configurable: true
- });
- return DetectFaceLandmarksTaskBase;
-}(ComposableTask_1.ComposableTask));
-exports.DetectFaceLandmarksTaskBase = DetectFaceLandmarksTaskBase;
-var DetectAllFaceLandmarksTask = /** @class */ (function (_super) {
- tslib_1.__extends(DetectAllFaceLandmarksTask, _super);
- function DetectAllFaceLandmarksTask() {
- return _super !== null && _super.apply(this, arguments) || this;
- }
- DetectAllFaceLandmarksTask.prototype.run = function () {
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- var parentResults, detections, faces, _a, faceLandmarksByFace;
- var _this = this;
- return tslib_1.__generator(this, function (_b) {
- switch (_b.label) {
- case 0: return [4 /*yield*/, this.parentTask];
- case 1:
- parentResults = _b.sent();
- detections = parentResults.map(function (res) { return res.detection; });
- if (!(this.input instanceof tf.Tensor)) return [3 /*break*/, 3];
- return [4 /*yield*/, dom_1.extractFaceTensors(this.input, detections)];
- case 2:
- _a = _b.sent();
- return [3 /*break*/, 5];
- case 3: return [4 /*yield*/, dom_1.extractFaces(this.input, detections)];
- case 4:
- _a = _b.sent();
- _b.label = 5;
- case 5:
- faces = _a;
- return [4 /*yield*/, Promise.all(faces.map(function (face) { return _this.landmarkNet.detectLandmarks(face); }))];
- case 6:
- faceLandmarksByFace = _b.sent();
- faces.forEach(function (f) { return f instanceof tf.Tensor && f.dispose(); });
- return [2 /*return*/, parentResults.map(function (parentResult, i) {
- return WithFaceLandmarks_1.extendWithFaceLandmarks(parentResult, faceLandmarksByFace[i]);
- })];
- }
- });
- });
- };
- DetectAllFaceLandmarksTask.prototype.withFaceDescriptors = function () {
- return new ComputeFaceDescriptorsTasks_1.ComputeAllFaceDescriptorsTask(this, this.input);
- };
- return DetectAllFaceLandmarksTask;
-}(DetectFaceLandmarksTaskBase));
-exports.DetectAllFaceLandmarksTask = DetectAllFaceLandmarksTask;
-var DetectSingleFaceLandmarksTask = /** @class */ (function (_super) {
- tslib_1.__extends(DetectSingleFaceLandmarksTask, _super);
- function DetectSingleFaceLandmarksTask() {
- return _super !== null && _super.apply(this, arguments) || this;
- }
- DetectSingleFaceLandmarksTask.prototype.run = function () {
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- var parentResult, detection, faces, _a, landmarks;
- return tslib_1.__generator(this, function (_b) {
- switch (_b.label) {
- case 0: return [4 /*yield*/, this.parentTask];
- case 1:
- parentResult = _b.sent();
- if (!parentResult) {
- return [2 /*return*/];
- }
- detection = parentResult.detection;
- if (!(this.input instanceof tf.Tensor)) return [3 /*break*/, 3];
- return [4 /*yield*/, dom_1.extractFaceTensors(this.input, [detection])];
- case 2:
- _a = _b.sent();
- return [3 /*break*/, 5];
- case 3: return [4 /*yield*/, dom_1.extractFaces(this.input, [detection])];
- case 4:
- _a = _b.sent();
- _b.label = 5;
- case 5:
- faces = _a;
- return [4 /*yield*/, this.landmarkNet.detectLandmarks(faces[0])];
- case 6:
- landmarks = _b.sent();
- faces.forEach(function (f) { return f instanceof tf.Tensor && f.dispose(); });
- return [2 /*return*/, WithFaceLandmarks_1.extendWithFaceLandmarks(parentResult, landmarks)];
- }
- });
- });
- };
- DetectSingleFaceLandmarksTask.prototype.withFaceDescriptor = function () {
- return new ComputeFaceDescriptorsTasks_1.ComputeSingleFaceDescriptorTask(this, this.input);
- };
- return DetectSingleFaceLandmarksTask;
-}(DetectFaceLandmarksTaskBase));
-exports.DetectSingleFaceLandmarksTask = DetectSingleFaceLandmarksTask;
-//# sourceMappingURL=DetectFaceLandmarksTasks.js.map
\ No newline at end of file
diff --git a/build/commonjs/globalApi/DetectFaceLandmarksTasks.js.map b/build/commonjs/globalApi/DetectFaceLandmarksTasks.js.map
deleted file mode 100644
index 9a341708..00000000
--- a/build/commonjs/globalApi/DetectFaceLandmarksTasks.js.map
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/build/commonjs/globalApi/DetectFacesTasks.d.ts b/build/commonjs/globalApi/DetectFacesTasks.d.ts
deleted file mode 100644
index a8c24840..00000000
--- a/build/commonjs/globalApi/DetectFacesTasks.d.ts
+++ /dev/null
@@ -1,24 +0,0 @@
-import { TNetInput } from 'tfjs-image-recognition-base';
-import { FaceDetection } from '../classes/FaceDetection';
-import { WithFaceDetection } from '../factories/WithFaceDetection';
-import { ComposableTask } from './ComposableTask';
-import { DetectAllFaceLandmarksTask, DetectSingleFaceLandmarksTask } from './DetectFaceLandmarksTasks';
-import { PredictAllFaceExpressionsTask, PredictSingleFaceExpressionTask } from './PredictFaceExpressionsTask';
-import { FaceDetectionOptions } from './types';
-export declare class DetectFacesTaskBase extends ComposableTask {
- protected input: TNetInput;
- protected options: FaceDetectionOptions;
- constructor(input: TNetInput, options?: FaceDetectionOptions);
-}
-export declare class DetectAllFacesTask extends DetectFacesTaskBase {
- run(): Promise;
- private runAndExtendWithFaceDetections;
- withFaceLandmarks(useTinyLandmarkNet?: boolean): DetectAllFaceLandmarksTask>;
- withFaceExpressions(): PredictAllFaceExpressionsTask>;
-}
-export declare class DetectSingleFaceTask extends DetectFacesTaskBase {
- run(): Promise;
- private runAndExtendWithFaceDetection;
- withFaceLandmarks(useTinyLandmarkNet?: boolean): DetectSingleFaceLandmarksTask>;
- withFaceExpressions(): PredictSingleFaceExpressionTask>;
-}
diff --git a/build/commonjs/globalApi/DetectFacesTasks.js b/build/commonjs/globalApi/DetectFacesTasks.js
deleted file mode 100644
index 4ee9e245..00000000
--- a/build/commonjs/globalApi/DetectFacesTasks.js
+++ /dev/null
@@ -1,129 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-var WithFaceDetection_1 = require("../factories/WithFaceDetection");
-var MtcnnOptions_1 = require("../mtcnn/MtcnnOptions");
-var SsdMobilenetv1Options_1 = require("../ssdMobilenetv1/SsdMobilenetv1Options");
-var TinyFaceDetectorOptions_1 = require("../tinyFaceDetector/TinyFaceDetectorOptions");
-var ComposableTask_1 = require("./ComposableTask");
-var DetectFaceLandmarksTasks_1 = require("./DetectFaceLandmarksTasks");
-var nets_1 = require("./nets");
-var PredictFaceExpressionsTask_1 = require("./PredictFaceExpressionsTask");
-var DetectFacesTaskBase = /** @class */ (function (_super) {
- tslib_1.__extends(DetectFacesTaskBase, _super);
- function DetectFacesTaskBase(input, options) {
- if (options === void 0) { options = new SsdMobilenetv1Options_1.SsdMobilenetv1Options(); }
- var _this = _super.call(this) || this;
- _this.input = input;
- _this.options = options;
- return _this;
- }
- return DetectFacesTaskBase;
-}(ComposableTask_1.ComposableTask));
-exports.DetectFacesTaskBase = DetectFacesTaskBase;
-var DetectAllFacesTask = /** @class */ (function (_super) {
- tslib_1.__extends(DetectAllFacesTask, _super);
- function DetectAllFacesTask() {
- return _super !== null && _super.apply(this, arguments) || this;
- }
- DetectAllFacesTask.prototype.run = function () {
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- var _a, input, options, faceDetectionFunction;
- return tslib_1.__generator(this, function (_b) {
- switch (_b.label) {
- case 0:
- _a = this, input = _a.input, options = _a.options;
- if (!(options instanceof MtcnnOptions_1.MtcnnOptions)) return [3 /*break*/, 2];
- return [4 /*yield*/, nets_1.nets.mtcnn.forward(input, options)];
- case 1: return [2 /*return*/, (_b.sent())
- .map(function (result) { return result.detection; })];
- case 2:
- faceDetectionFunction = options instanceof TinyFaceDetectorOptions_1.TinyFaceDetectorOptions
- ? function (input) { return nets_1.nets.tinyFaceDetector.locateFaces(input, options); }
- : (options instanceof SsdMobilenetv1Options_1.SsdMobilenetv1Options
- ? function (input) { return nets_1.nets.ssdMobilenetv1.locateFaces(input, options); }
- : (options instanceof tfjs_image_recognition_base_1.TfjsImageRecognitionBase.TinyYolov2Options
- ? function (input) { return nets_1.nets.tinyYolov2.locateFaces(input, options); }
- : null));
- if (!faceDetectionFunction) {
- throw new Error('detectFaces - expected options to be instance of TinyFaceDetectorOptions | SsdMobilenetv1Options | MtcnnOptions | TinyYolov2Options');
- }
- return [2 /*return*/, faceDetectionFunction(input)];
- }
- });
- });
- };
- DetectAllFacesTask.prototype.runAndExtendWithFaceDetections = function () {
- var _this = this;
- return new Promise(function (res) { return tslib_1.__awaiter(_this, void 0, void 0, function () {
- var detections;
- return tslib_1.__generator(this, function (_a) {
- switch (_a.label) {
- case 0: return [4 /*yield*/, this.run()];
- case 1:
- detections = _a.sent();
- return [2 /*return*/, res(detections.map(function (detection) { return WithFaceDetection_1.extendWithFaceDetection({}, detection); }))];
- }
- });
- }); });
- };
- DetectAllFacesTask.prototype.withFaceLandmarks = function (useTinyLandmarkNet) {
- if (useTinyLandmarkNet === void 0) { useTinyLandmarkNet = false; }
- return new DetectFaceLandmarksTasks_1.DetectAllFaceLandmarksTask(this.runAndExtendWithFaceDetections(), this.input, useTinyLandmarkNet);
- };
- DetectAllFacesTask.prototype.withFaceExpressions = function () {
- return new PredictFaceExpressionsTask_1.PredictAllFaceExpressionsTask(this.runAndExtendWithFaceDetections(), this.input);
- };
- return DetectAllFacesTask;
-}(DetectFacesTaskBase));
-exports.DetectAllFacesTask = DetectAllFacesTask;
-var DetectSingleFaceTask = /** @class */ (function (_super) {
- tslib_1.__extends(DetectSingleFaceTask, _super);
- function DetectSingleFaceTask() {
- return _super !== null && _super.apply(this, arguments) || this;
- }
- DetectSingleFaceTask.prototype.run = function () {
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- var faceDetections, faceDetectionWithHighestScore;
- return tslib_1.__generator(this, function (_a) {
- switch (_a.label) {
- case 0: return [4 /*yield*/, new DetectAllFacesTask(this.input, this.options)];
- case 1:
- faceDetections = _a.sent();
- faceDetectionWithHighestScore = faceDetections[0];
- faceDetections.forEach(function (faceDetection) {
- if (faceDetection.score > faceDetectionWithHighestScore.score) {
- faceDetectionWithHighestScore = faceDetection;
- }
- });
- return [2 /*return*/, faceDetectionWithHighestScore];
- }
- });
- });
- };
- DetectSingleFaceTask.prototype.runAndExtendWithFaceDetection = function () {
- var _this = this;
- return new Promise(function (res) { return tslib_1.__awaiter(_this, void 0, void 0, function () {
- var detection;
- return tslib_1.__generator(this, function (_a) {
- switch (_a.label) {
- case 0: return [4 /*yield*/, this.run()];
- case 1:
- detection = _a.sent();
- return [2 /*return*/, res(detection ? WithFaceDetection_1.extendWithFaceDetection({}, detection) : undefined)];
- }
- });
- }); });
- };
- DetectSingleFaceTask.prototype.withFaceLandmarks = function (useTinyLandmarkNet) {
- if (useTinyLandmarkNet === void 0) { useTinyLandmarkNet = false; }
- return new DetectFaceLandmarksTasks_1.DetectSingleFaceLandmarksTask(this.runAndExtendWithFaceDetection(), this.input, useTinyLandmarkNet);
- };
- DetectSingleFaceTask.prototype.withFaceExpressions = function () {
- return new PredictFaceExpressionsTask_1.PredictSingleFaceExpressionTask(this.runAndExtendWithFaceDetection(), this.input);
- };
- return DetectSingleFaceTask;
-}(DetectFacesTaskBase));
-exports.DetectSingleFaceTask = DetectSingleFaceTask;
-//# sourceMappingURL=DetectFacesTasks.js.map
\ No newline at end of file
diff --git a/build/commonjs/globalApi/DetectFacesTasks.js.map b/build/commonjs/globalApi/DetectFacesTasks.js.map
deleted file mode 100644
index ae67cfac..00000000
--- a/build/commonjs/globalApi/DetectFacesTasks.js.map
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/build/commonjs/globalApi/FaceMatcher.d.ts b/build/commonjs/globalApi/FaceMatcher.d.ts
deleted file mode 100644
index 5a9ef8d7..00000000
--- a/build/commonjs/globalApi/FaceMatcher.d.ts
+++ /dev/null
@@ -1,13 +0,0 @@
-import { FaceMatch } from '../classes/FaceMatch';
-import { LabeledFaceDescriptors } from '../classes/LabeledFaceDescriptors';
-import { WithFaceDescriptor } from '../factories';
-export declare class FaceMatcher {
- private _labeledDescriptors;
- private _distanceThreshold;
- constructor(inputs: LabeledFaceDescriptors | WithFaceDescriptor | Float32Array | Array | Float32Array>, distanceThreshold?: number);
- readonly labeledDescriptors: LabeledFaceDescriptors[];
- readonly distanceThreshold: number;
- computeMeanDistance(queryDescriptor: Float32Array, descriptors: Float32Array[]): number;
- matchDescriptor(queryDescriptor: Float32Array): FaceMatch;
- findBestMatch(queryDescriptor: Float32Array): FaceMatch;
-}
diff --git a/build/commonjs/globalApi/FaceMatcher.js b/build/commonjs/globalApi/FaceMatcher.js
deleted file mode 100644
index e7a362f8..00000000
--- a/build/commonjs/globalApi/FaceMatcher.js
+++ /dev/null
@@ -1,63 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var FaceMatch_1 = require("../classes/FaceMatch");
-var LabeledFaceDescriptors_1 = require("../classes/LabeledFaceDescriptors");
-var euclideanDistance_1 = require("../euclideanDistance");
-var FaceMatcher = /** @class */ (function () {
- function FaceMatcher(inputs, distanceThreshold) {
- if (distanceThreshold === void 0) { distanceThreshold = 0.6; }
- this._distanceThreshold = distanceThreshold;
- var inputArray = Array.isArray(inputs) ? inputs : [inputs];
- if (!inputArray.length) {
- throw new Error("FaceRecognizer.constructor - expected atleast one input");
- }
- var count = 1;
- var createUniqueLabel = function () { return "person " + count++; };
- this._labeledDescriptors = inputArray.map(function (desc) {
- if (desc instanceof LabeledFaceDescriptors_1.LabeledFaceDescriptors) {
- return desc;
- }
- if (desc instanceof Float32Array) {
- return new LabeledFaceDescriptors_1.LabeledFaceDescriptors(createUniqueLabel(), [desc]);
- }
- if (desc.descriptor && desc.descriptor instanceof Float32Array) {
- return new LabeledFaceDescriptors_1.LabeledFaceDescriptors(createUniqueLabel(), [desc.descriptor]);
- }
- throw new Error("FaceRecognizer.constructor - expected inputs to be of type LabeledFaceDescriptors | WithFaceDescriptor | Float32Array | Array | Float32Array>");
- });
- }
- Object.defineProperty(FaceMatcher.prototype, "labeledDescriptors", {
- get: function () { return this._labeledDescriptors; },
- enumerable: true,
- configurable: true
- });
- Object.defineProperty(FaceMatcher.prototype, "distanceThreshold", {
- get: function () { return this._distanceThreshold; },
- enumerable: true,
- configurable: true
- });
- FaceMatcher.prototype.computeMeanDistance = function (queryDescriptor, descriptors) {
- return descriptors
- .map(function (d) { return euclideanDistance_1.euclideanDistance(d, queryDescriptor); })
- .reduce(function (d1, d2) { return d1 + d2; }, 0)
- / (descriptors.length || 1);
- };
- FaceMatcher.prototype.matchDescriptor = function (queryDescriptor) {
- var _this = this;
- return this.labeledDescriptors
- .map(function (_a) {
- var descriptors = _a.descriptors, label = _a.label;
- return new FaceMatch_1.FaceMatch(label, _this.computeMeanDistance(queryDescriptor, descriptors));
- })
- .reduce(function (best, curr) { return best.distance < curr.distance ? best : curr; });
- };
- FaceMatcher.prototype.findBestMatch = function (queryDescriptor) {
- var bestMatch = this.matchDescriptor(queryDescriptor);
- return bestMatch.distance < this.distanceThreshold
- ? bestMatch
- : new FaceMatch_1.FaceMatch('unknown', bestMatch.distance);
- };
- return FaceMatcher;
-}());
-exports.FaceMatcher = FaceMatcher;
-//# sourceMappingURL=FaceMatcher.js.map
\ No newline at end of file
diff --git a/build/commonjs/globalApi/FaceMatcher.js.map b/build/commonjs/globalApi/FaceMatcher.js.map
deleted file mode 100644
index 8d55ad92..00000000
--- a/build/commonjs/globalApi/FaceMatcher.js.map
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/build/commonjs/globalApi/PredictFaceExpressionsTask.d.ts b/build/commonjs/globalApi/PredictFaceExpressionsTask.d.ts
deleted file mode 100644
index 3b164fe2..00000000
--- a/build/commonjs/globalApi/PredictFaceExpressionsTask.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-import { TNetInput } from 'tfjs-image-recognition-base';
-import { WithFaceDetection } from '../factories/WithFaceDetection';
-import { WithFaceExpressions } from '../factories/WithFaceExpressions';
-import { ComposableTask } from './ComposableTask';
-import { DetectAllFaceLandmarksTask, DetectSingleFaceLandmarksTask } from './DetectFaceLandmarksTasks';
-export declare class PredictFaceExpressionsTaskBase extends ComposableTask {
- protected parentTask: ComposableTask | Promise;
- protected input: TNetInput;
- constructor(parentTask: ComposableTask | Promise, input: TNetInput);
-}
-export declare class PredictAllFaceExpressionsTask> extends PredictFaceExpressionsTaskBase[], TSource[]> {
- run(): Promise[]>;
- withFaceLandmarks(): DetectAllFaceLandmarksTask>;
-}
-export declare class PredictSingleFaceExpressionTask> extends PredictFaceExpressionsTaskBase | undefined, TSource | undefined> {
- run(): Promise | undefined>;
- withFaceLandmarks(): DetectSingleFaceLandmarksTask>;
-}
diff --git a/build/commonjs/globalApi/PredictFaceExpressionsTask.js b/build/commonjs/globalApi/PredictFaceExpressionsTask.js
deleted file mode 100644
index 1845f7e2..00000000
--- a/build/commonjs/globalApi/PredictFaceExpressionsTask.js
+++ /dev/null
@@ -1,104 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-var tf = require("@tensorflow/tfjs-core");
-var dom_1 = require("../dom");
-var WithFaceExpressions_1 = require("../factories/WithFaceExpressions");
-var ComposableTask_1 = require("./ComposableTask");
-var DetectFaceLandmarksTasks_1 = require("./DetectFaceLandmarksTasks");
-var nets_1 = require("./nets");
-var PredictFaceExpressionsTaskBase = /** @class */ (function (_super) {
- tslib_1.__extends(PredictFaceExpressionsTaskBase, _super);
- function PredictFaceExpressionsTaskBase(parentTask, input) {
- var _this = _super.call(this) || this;
- _this.parentTask = parentTask;
- _this.input = input;
- return _this;
- }
- return PredictFaceExpressionsTaskBase;
-}(ComposableTask_1.ComposableTask));
-exports.PredictFaceExpressionsTaskBase = PredictFaceExpressionsTaskBase;
-var PredictAllFaceExpressionsTask = /** @class */ (function (_super) {
- tslib_1.__extends(PredictAllFaceExpressionsTask, _super);
- function PredictAllFaceExpressionsTask() {
- return _super !== null && _super.apply(this, arguments) || this;
- }
- PredictAllFaceExpressionsTask.prototype.run = function () {
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- var parentResults, detections, faces, _a, faceExpressionsByFace;
- return tslib_1.__generator(this, function (_b) {
- switch (_b.label) {
- case 0: return [4 /*yield*/, this.parentTask];
- case 1:
- parentResults = _b.sent();
- detections = parentResults.map(function (parentResult) { return parentResult.detection; });
- if (!(this.input instanceof tf.Tensor)) return [3 /*break*/, 3];
- return [4 /*yield*/, dom_1.extractFaceTensors(this.input, detections)];
- case 2:
- _a = _b.sent();
- return [3 /*break*/, 5];
- case 3: return [4 /*yield*/, dom_1.extractFaces(this.input, detections)];
- case 4:
- _a = _b.sent();
- _b.label = 5;
- case 5:
- faces = _a;
- return [4 /*yield*/, Promise.all(faces.map(function (face) { return nets_1.nets.faceExpressionNet.predictExpressions(face); }))];
- case 6:
- faceExpressionsByFace = _b.sent();
- faces.forEach(function (f) { return f instanceof tf.Tensor && f.dispose(); });
- return [2 /*return*/, parentResults.map(function (parentResult, i) { return WithFaceExpressions_1.extendWithFaceExpressions(parentResult, faceExpressionsByFace[i]); })];
- }
- });
- });
- };
- PredictAllFaceExpressionsTask.prototype.withFaceLandmarks = function () {
- return new DetectFaceLandmarksTasks_1.DetectAllFaceLandmarksTask(this, this.input, false);
- };
- return PredictAllFaceExpressionsTask;
-}(PredictFaceExpressionsTaskBase));
-exports.PredictAllFaceExpressionsTask = PredictAllFaceExpressionsTask;
-var PredictSingleFaceExpressionTask = /** @class */ (function (_super) {
- tslib_1.__extends(PredictSingleFaceExpressionTask, _super);
- function PredictSingleFaceExpressionTask() {
- return _super !== null && _super.apply(this, arguments) || this;
- }
- PredictSingleFaceExpressionTask.prototype.run = function () {
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- var parentResult, detection, faces, _a, faceExpressions;
- return tslib_1.__generator(this, function (_b) {
- switch (_b.label) {
- case 0: return [4 /*yield*/, this.parentTask];
- case 1:
- parentResult = _b.sent();
- if (!parentResult) {
- return [2 /*return*/];
- }
- detection = parentResult.detection;
- if (!(this.input instanceof tf.Tensor)) return [3 /*break*/, 3];
- return [4 /*yield*/, dom_1.extractFaceTensors(this.input, [detection])];
- case 2:
- _a = _b.sent();
- return [3 /*break*/, 5];
- case 3: return [4 /*yield*/, dom_1.extractFaces(this.input, [detection])];
- case 4:
- _a = _b.sent();
- _b.label = 5;
- case 5:
- faces = _a;
- return [4 /*yield*/, nets_1.nets.faceExpressionNet.predictExpressions(faces[0])];
- case 6:
- faceExpressions = _b.sent();
- faces.forEach(function (f) { return f instanceof tf.Tensor && f.dispose(); });
- return [2 /*return*/, WithFaceExpressions_1.extendWithFaceExpressions(parentResult, faceExpressions)];
- }
- });
- });
- };
- PredictSingleFaceExpressionTask.prototype.withFaceLandmarks = function () {
- return new DetectFaceLandmarksTasks_1.DetectSingleFaceLandmarksTask(this, this.input, false);
- };
- return PredictSingleFaceExpressionTask;
-}(PredictFaceExpressionsTaskBase));
-exports.PredictSingleFaceExpressionTask = PredictSingleFaceExpressionTask;
-//# sourceMappingURL=PredictFaceExpressionsTask.js.map
\ No newline at end of file
diff --git a/build/commonjs/globalApi/PredictFaceExpressionsTask.js.map b/build/commonjs/globalApi/PredictFaceExpressionsTask.js.map
deleted file mode 100644
index 92a59d42..00000000
--- a/build/commonjs/globalApi/PredictFaceExpressionsTask.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"PredictFaceExpressionsTask.js","sourceRoot":"","sources":["../../../src/globalApi/PredictFaceExpressionsTask.ts"],"names":[],"mappings":";;;AAAA,0CAA4C;AAG5C,8BAA0D;AAG1D,wEAAkG;AAClG,mDAAkD;AAClD,uEAAuG;AACvG,+BAA8B;AAE9B;IAA4E,0DAAuB;IACjG,wCACY,UAAkE,EAClE,KAAgB;QAF5B,YAIE,iBAAO,SACR;QAJW,gBAAU,GAAV,UAAU,CAAwD;QAClE,WAAK,GAAL,KAAK,CAAW;;IAG5B,CAAC;IACH,qCAAC;AAAD,CAAC,AAPD,CAA4E,+BAAc,GAOzF;AAPY,wEAA8B;AAS3C;IAEU,yDAAyE;IAFnF;;IA2BA,CAAC;IAvBc,2CAAG,GAAhB;;;;;4BAEwB,qBAAM,IAAI,CAAC,UAAU,EAAA;;wBAArC,aAAa,GAAG,SAAqB;wBAErC,UAAU,GAAG,aAAa,CAAC,GAAG,CAAC,UAAA,YAAY,IAAI,OAAA,YAAY,CAAC,SAAS,EAAtB,CAAsB,CAAC,CAAA;6BACtB,CAAA,IAAI,CAAC,KAAK,YAAY,EAAE,CAAC,MAAM,CAAA,EAA/B,wBAA+B;wBACjF,qBAAM,wBAAkB,CAAC,IAAI,CAAC,KAAK,EAAE,UAAU,CAAC,EAAA;;wBAAhD,KAAA,SAAgD,CAAA;;4BAChD,qBAAM,kBAAY,CAAC,IAAI,CAAC,KAAK,EAAE,UAAU,CAAC,EAAA;;wBAA1C,KAAA,SAA0C,CAAA;;;wBAFxC,KAAK,KAEmC;wBAEhB,qBAAM,OAAO,CAAC,GAAG,CAAC,KAAK,CAAC,GAAG,CACvD,UAAA,IAAI,IAAI,OAAA,WAAI,CAAC,iBAAiB,CAAC,kBAAkB,CAAC,IAAI,CAAC,EAA/C,CAA+C,CACxD,CAAC,EAAA;;wBAFI,qBAAqB,GAAG,SAEI;wBAElC,KAAK,CAAC,OAAO,CAAC,UAAA,CAAC,IAAI,OAAA,CAAC,YAAY,EAAE,CAAC,MAAM,IAAI,CAAC,CAAC,OAAO,EAAE,EAArC,CAAqC,CAAC,CAAA;wBAEzD,sBAAO,aAAa,CAAC,GAAG,CACtB,UAAC,YAAY,EAAE,CAAC,IAAK,OAAA,+CAAyB,CAAU,YAAY,EAAE,qBAAqB,CAAC,CAAC,CAAC,CAAC,EAA1E,CAA0E,CAChG,EAAA;;;;KACF;IAED,yDAAiB,GAAjB;QACE,OAAO,IAAI,qDAA0B,CAAC,IAAI,EAAE,IAAI,CAAC,KAAK,EAAE,KAAK,CAAC,CAAA;IAChE,CAAC;IACH,oCAAC;AAAD,CAAC,AA3BD,CAEU,8BAA8B,GAyBvC;AA3BY,sEAA6B;AA6B1C;IAEW,2DAA6F;IAFxG;;IA0BA,CAAC;IAtBc,6CAAG,GAAhB;;;;;4BAEuB,qBAAM,IAAI,CAAC,UAAU,EAAA;;wBAApC,YAAY,GAAG,SAAqB;wBAC1C,IAAI,CAAC,YAAY,EAAE;4BACjB,sBAAM;yBACP;wBAEO,SAAS,GAAK,YAAY,UAAjB,CAAiB;6BACoB,CAAA,IAAI,CAAC,KAAK,YAAY,EAAE,CAAC,MAAM,CAAA,EAA/B,wBAA+B;wBACjF,qBAAM,wBAAkB,CAAC,IAAI,CAAC,KAAK,EAAE,CAAC,SAAS,CAAC,CAAC,EAAA;;wBAAjD,KAAA,SAAiD,CAAA;;4BACjD,qBAAM,kBAAY,CAAC,IAAI,CAAC,KAAK,EAAE,CAAC,SAAS,CAAC,CAAC,EAAA;;wBAA3C,KAAA,SAA2C,CAAA;;;wBAFzC,KAAK,KAEoC;wBAEvB,qBAAM,WAAI,CAAC,iBAAiB,CAAC,kBAAkB,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,EAAA;;wBAA3E,eAAe,GAAG,SAAuF;wBAE/G,KAAK,CAAC,OAAO,CAAC,UAAA,CAAC,IAAI,OAAA,CAAC,YAAY,EAAE,CAAC,MAAM,IAAI,CAAC,CAAC,OAAO,EAAE,EAArC,CAAqC,CAAC,CAAA;wBAEzD,sBAAO,+CAAyB,CAAC,YAAY,EAAE,eAAe,CAAC,EAAA;;;;KAChE;IAED,2DAAiB,GAAjB;QACE,OAAO,IAAI,wDAA6B,CAAC,IAAI,EAAE,IAAI,CAAC,KAAK,EAAE,KAAK,CAAC,CAAA;IACnE,CAAC;IACH,sCAAC;AAAD,CAAC,AA1BD,CAEW,8BAA8B,GAwBxC;AA1BY,0EAA+B"}
\ No newline at end of file
diff --git a/build/commonjs/globalApi/allFaces.d.ts b/build/commonjs/globalApi/allFaces.d.ts
deleted file mode 100644
index a5b62f2f..00000000
--- a/build/commonjs/globalApi/allFaces.d.ts
+++ /dev/null
@@ -1,7 +0,0 @@
-import { TfjsImageRecognitionBase, TNetInput } from 'tfjs-image-recognition-base';
-import { WithFaceDescriptor, WithFaceDetection, WithFaceLandmarks } from '../factories';
-import { IMtcnnOptions } from '../mtcnn/MtcnnOptions';
-export declare function allFacesSsdMobilenetv1(input: TNetInput, minConfidence?: number): Promise>>[]>;
-export declare function allFacesTinyYolov2(input: TNetInput, forwardParams?: TfjsImageRecognitionBase.ITinyYolov2Options): Promise>>[]>;
-export declare function allFacesMtcnn(input: TNetInput, forwardParams?: IMtcnnOptions): Promise>>[]>;
-export declare const allFaces: typeof allFacesSsdMobilenetv1;
diff --git a/build/commonjs/globalApi/allFaces.js b/build/commonjs/globalApi/allFaces.js
deleted file mode 100644
index da39614a..00000000
--- a/build/commonjs/globalApi/allFaces.js
+++ /dev/null
@@ -1,51 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-var MtcnnOptions_1 = require("../mtcnn/MtcnnOptions");
-var ssdMobilenetv1_1 = require("../ssdMobilenetv1");
-var detectFaces_1 = require("./detectFaces");
-// export allFaces API for backward compatibility
-function allFacesSsdMobilenetv1(input, minConfidence) {
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- return tslib_1.__generator(this, function (_a) {
- switch (_a.label) {
- case 0: return [4 /*yield*/, detectFaces_1.detectAllFaces(input, new ssdMobilenetv1_1.SsdMobilenetv1Options(minConfidence ? { minConfidence: minConfidence } : {}))
- .withFaceLandmarks()
- .withFaceDescriptors()];
- case 1: return [2 /*return*/, _a.sent()];
- }
- });
- });
-}
-exports.allFacesSsdMobilenetv1 = allFacesSsdMobilenetv1;
-function allFacesTinyYolov2(input, forwardParams) {
- if (forwardParams === void 0) { forwardParams = {}; }
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- return tslib_1.__generator(this, function (_a) {
- switch (_a.label) {
- case 0: return [4 /*yield*/, detectFaces_1.detectAllFaces(input, new tfjs_image_recognition_base_1.TfjsImageRecognitionBase.TinyYolov2Options(forwardParams))
- .withFaceLandmarks()
- .withFaceDescriptors()];
- case 1: return [2 /*return*/, _a.sent()];
- }
- });
- });
-}
-exports.allFacesTinyYolov2 = allFacesTinyYolov2;
-function allFacesMtcnn(input, forwardParams) {
- if (forwardParams === void 0) { forwardParams = {}; }
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- return tslib_1.__generator(this, function (_a) {
- switch (_a.label) {
- case 0: return [4 /*yield*/, detectFaces_1.detectAllFaces(input, new MtcnnOptions_1.MtcnnOptions(forwardParams))
- .withFaceLandmarks()
- .withFaceDescriptors()];
- case 1: return [2 /*return*/, _a.sent()];
- }
- });
- });
-}
-exports.allFacesMtcnn = allFacesMtcnn;
-exports.allFaces = allFacesSsdMobilenetv1;
-//# sourceMappingURL=allFaces.js.map
\ No newline at end of file
diff --git a/build/commonjs/globalApi/allFaces.js.map b/build/commonjs/globalApi/allFaces.js.map
deleted file mode 100644
index e7975727..00000000
--- a/build/commonjs/globalApi/allFaces.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"allFaces.js","sourceRoot":"","sources":["../../../src/globalApi/allFaces.ts"],"names":[],"mappings":";;;AAAA,2EAAkF;AAGlF,sDAAoE;AACpE,oDAA0D;AAC1D,6CAA+C;AAE/C,iDAAiD;AAEjD,SAAsB,sBAAsB,CAC1C,KAAgB,EAChB,aAAsB;;;;wBAEf,qBAAM,4BAAc,CAAC,KAAK,EAAE,IAAI,sCAAqB,CAAC,aAAa,CAAC,CAAC,CAAC,EAAE,aAAa,eAAA,EAAE,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC;yBAClG,iBAAiB,EAAE;yBACnB,mBAAmB,EAAE,EAAA;wBAFxB,sBAAO,SAEiB,EAAA;;;;CACzB;AAPD,wDAOC;AAED,SAAsB,kBAAkB,CACtC,KAAgB,EAChB,aAA+D;IAA/D,8BAAA,EAAA,kBAA+D;;;;wBAExD,qBAAM,4BAAc,CAAC,KAAK,EAAE,IAAI,sDAAwB,CAAC,iBAAiB,CAAC,aAAa,CAAC,CAAC;yBAC9F,iBAAiB,EAAE;yBACnB,mBAAmB,EAAE,EAAA;wBAFxB,sBAAO,SAEiB,EAAA;;;;CACzB;AAPD,gDAOC;AAED,SAAsB,aAAa,CACjC,KAAgB,EAChB,aAAiC;IAAjC,8BAAA,EAAA,kBAAiC;;;;wBAE1B,qBAAM,4BAAc,CAAC,KAAK,EAAE,IAAI,2BAAY,CAAC,aAAa,CAAC,CAAC;yBAChE,iBAAiB,EAAE;yBACnB,mBAAmB,EAAE,EAAA;wBAFxB,sBAAO,SAEiB,EAAA;;;;CACzB;AAPD,sCAOC;AAEY,QAAA,QAAQ,GAAG,sBAAsB,CAAA"}
\ No newline at end of file
diff --git a/build/commonjs/globalApi/detectFaces.d.ts b/build/commonjs/globalApi/detectFaces.d.ts
deleted file mode 100644
index d1091c32..00000000
--- a/build/commonjs/globalApi/detectFaces.d.ts
+++ /dev/null
@@ -1,5 +0,0 @@
-import { TNetInput } from 'tfjs-image-recognition-base';
-import { DetectAllFacesTask, DetectSingleFaceTask } from './DetectFacesTasks';
-import { FaceDetectionOptions } from './types';
-export declare function detectSingleFace(input: TNetInput, options?: FaceDetectionOptions): DetectSingleFaceTask;
-export declare function detectAllFaces(input: TNetInput, options?: FaceDetectionOptions): DetectAllFacesTask;
diff --git a/build/commonjs/globalApi/detectFaces.js b/build/commonjs/globalApi/detectFaces.js
deleted file mode 100644
index 941040f8..00000000
--- a/build/commonjs/globalApi/detectFaces.js
+++ /dev/null
@@ -1,15 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var SsdMobilenetv1Options_1 = require("../ssdMobilenetv1/SsdMobilenetv1Options");
-var DetectFacesTasks_1 = require("./DetectFacesTasks");
-function detectSingleFace(input, options) {
- if (options === void 0) { options = new SsdMobilenetv1Options_1.SsdMobilenetv1Options(); }
- return new DetectFacesTasks_1.DetectSingleFaceTask(input, options);
-}
-exports.detectSingleFace = detectSingleFace;
-function detectAllFaces(input, options) {
- if (options === void 0) { options = new SsdMobilenetv1Options_1.SsdMobilenetv1Options(); }
- return new DetectFacesTasks_1.DetectAllFacesTask(input, options);
-}
-exports.detectAllFaces = detectAllFaces;
-//# sourceMappingURL=detectFaces.js.map
\ No newline at end of file
diff --git a/build/commonjs/globalApi/detectFaces.js.map b/build/commonjs/globalApi/detectFaces.js.map
deleted file mode 100644
index 0a202c61..00000000
--- a/build/commonjs/globalApi/detectFaces.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"detectFaces.js","sourceRoot":"","sources":["../../../src/globalApi/detectFaces.ts"],"names":[],"mappings":";;AAEA,iFAAgF;AAChF,uDAA8E;AAG9E,SAAgB,gBAAgB,CAC9B,KAAgB,EAChB,OAA2D;IAA3D,wBAAA,EAAA,cAAoC,6CAAqB,EAAE;IAE3D,OAAO,IAAI,uCAAoB,CAAC,KAAK,EAAE,OAAO,CAAC,CAAA;AACjD,CAAC;AALD,4CAKC;AAED,SAAgB,cAAc,CAC5B,KAAgB,EAChB,OAA2D;IAA3D,wBAAA,EAAA,cAAoC,6CAAqB,EAAE;IAE3D,OAAO,IAAI,qCAAkB,CAAC,KAAK,EAAE,OAAO,CAAC,CAAA;AAC/C,CAAC;AALD,wCAKC"}
\ No newline at end of file
diff --git a/build/commonjs/globalApi/index.d.ts b/build/commonjs/globalApi/index.d.ts
deleted file mode 100644
index de0e0c09..00000000
--- a/build/commonjs/globalApi/index.d.ts
+++ /dev/null
@@ -1,9 +0,0 @@
-export * from './allFaces';
-export * from './ComposableTask';
-export * from './ComputeFaceDescriptorsTasks';
-export * from './detectFaces';
-export * from './DetectFacesTasks';
-export * from './DetectFaceLandmarksTasks';
-export * from './FaceMatcher';
-export * from './nets';
-export * from './types';
diff --git a/build/commonjs/globalApi/index.js b/build/commonjs/globalApi/index.js
deleted file mode 100644
index 83ae0022..00000000
--- a/build/commonjs/globalApi/index.js
+++ /dev/null
@@ -1,12 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-tslib_1.__exportStar(require("./allFaces"), exports);
-tslib_1.__exportStar(require("./ComposableTask"), exports);
-tslib_1.__exportStar(require("./ComputeFaceDescriptorsTasks"), exports);
-tslib_1.__exportStar(require("./detectFaces"), exports);
-tslib_1.__exportStar(require("./DetectFacesTasks"), exports);
-tslib_1.__exportStar(require("./DetectFaceLandmarksTasks"), exports);
-tslib_1.__exportStar(require("./FaceMatcher"), exports);
-tslib_1.__exportStar(require("./nets"), exports);
-//# sourceMappingURL=index.js.map
\ No newline at end of file
diff --git a/build/commonjs/globalApi/index.js.map b/build/commonjs/globalApi/index.js.map
deleted file mode 100644
index 4d46a8e2..00000000
--- a/build/commonjs/globalApi/index.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"index.js","sourceRoot":"","sources":["../../../src/globalApi/index.ts"],"names":[],"mappings":";;;AAAA,qDAA0B;AAC1B,2DAAgC;AAChC,wEAA6C;AAC7C,wDAA6B;AAC7B,6DAAkC;AAClC,qEAA0C;AAC1C,wDAA6B;AAC7B,iDAAsB"}
\ No newline at end of file
diff --git a/build/commonjs/globalApi/nets.d.ts b/build/commonjs/globalApi/nets.d.ts
deleted file mode 100644
index bb7bb011..00000000
--- a/build/commonjs/globalApi/nets.d.ts
+++ /dev/null
@@ -1,111 +0,0 @@
-import { TfjsImageRecognitionBase, TNetInput } from 'tfjs-image-recognition-base';
-import { FaceDetection } from '../classes/FaceDetection';
-import { FaceLandmarks5 } from '../classes/FaceLandmarks5';
-import { FaceLandmarks68 } from '../classes/FaceLandmarks68';
-import { FaceExpressionNet } from '../faceExpressionNet/FaceExpressionNet';
-import { FaceExpressionPrediction } from '../faceExpressionNet/types';
-import { FaceLandmark68Net } from '../faceLandmarkNet/FaceLandmark68Net';
-import { FaceLandmark68TinyNet } from '../faceLandmarkNet/FaceLandmark68TinyNet';
-import { FaceRecognitionNet } from '../faceRecognitionNet/FaceRecognitionNet';
-import { WithFaceLandmarks } from '../factories/WithFaceLandmarks';
-import { Mtcnn } from '../mtcnn/Mtcnn';
-import { MtcnnOptions } from '../mtcnn/MtcnnOptions';
-import { SsdMobilenetv1 } from '../ssdMobilenetv1/SsdMobilenetv1';
-import { SsdMobilenetv1Options } from '../ssdMobilenetv1/SsdMobilenetv1Options';
-import { TinyFaceDetector } from '../tinyFaceDetector/TinyFaceDetector';
-import { TinyFaceDetectorOptions } from '../tinyFaceDetector/TinyFaceDetectorOptions';
-import { TinyYolov2 } from '../tinyYolov2';
-export declare const nets: {
- ssdMobilenetv1: SsdMobilenetv1;
- tinyFaceDetector: TinyFaceDetector;
- tinyYolov2: TinyYolov2;
- mtcnn: Mtcnn;
- faceLandmark68Net: FaceLandmark68Net;
- faceLandmark68TinyNet: FaceLandmark68TinyNet;
- faceRecognitionNet: FaceRecognitionNet;
- faceExpressionNet: FaceExpressionNet;
-};
-/**
- * Attempts to detect all faces in an image using SSD Mobilenetv1 Network.
- *
- * @param input The input image.
- * @param options (optional, default: see SsdMobilenetv1Options constructor for default parameters).
- * @returns Bounding box of each face with score.
- */
-export declare const ssdMobilenetv1: (input: TNetInput, options: SsdMobilenetv1Options) => Promise;
-/**
- * Attempts to detect all faces in an image using the Tiny Face Detector.
- *
- * @param input The input image.
- * @param options (optional, default: see TinyFaceDetectorOptions constructor for default parameters).
- * @returns Bounding box of each face with score.
- */
-export declare const tinyFaceDetector: (input: TNetInput, options: TinyFaceDetectorOptions) => Promise;
-/**
- * Attempts to detect all faces in an image using the Tiny Yolov2 Network.
- *
- * @param input The input image.
- * @param options (optional, default: see TinyYolov2Options constructor for default parameters).
- * @returns Bounding box of each face with score.
- */
-export declare const tinyYolov2: (input: TNetInput, options: TfjsImageRecognitionBase.ITinyYolov2Options) => Promise;
-/**
- * Attempts to detect all faces in an image and the 5 point face landmarks
- * of each detected face using the MTCNN Network.
- *
- * @param input The input image.
- * @param options (optional, default: see MtcnnOptions constructor for default parameters).
- * @returns Bounding box of each face with score and 5 point face landmarks.
- */
-export declare const mtcnn: (input: TNetInput, options: MtcnnOptions) => Promise[]>;
-/**
- * Detects the 68 point face landmark positions of the face shown in an image.
- *
- * @param inputs The face image extracted from the bounding box of a face. Can
- * also be an array of input images, which will be batch processed.
- * @returns 68 point face landmarks or array thereof in case of batch input.
- */
-export declare const detectFaceLandmarks: (input: TNetInput) => Promise;
-/**
- * Detects the 68 point face landmark positions of the face shown in an image
- * using a tinier version of the 68 point face landmark model, which is slightly
- * faster at inference, but also slightly less accurate.
- *
- * @param inputs The face image extracted from the bounding box of a face. Can
- * also be an array of input images, which will be batch processed.
- * @returns 68 point face landmarks or array thereof in case of batch input.
- */
-export declare const detectFaceLandmarksTiny: (input: TNetInput) => Promise;
-/**
- * Computes a 128 entry vector (face descriptor / face embeddings) from the face shown in an image,
- * which uniquely represents the features of that persons face. The computed face descriptor can
- * be used to measure the similarity between faces, by computing the euclidean distance of two
- * face descriptors.
- *
- * @param inputs The face image extracted from the aligned bounding box of a face. Can
- * also be an array of input images, which will be batch processed.
- * @returns Face descriptor with 128 entries or array thereof in case of batch input.
- */
-export declare const computeFaceDescriptor: (input: TNetInput) => Promise;
-/**
- * Recognizes the facial expressions of a face and returns the likelyhood of
- * each facial expression.
- *
- * @param inputs The face image extracted from the bounding box of a face. Can
- * also be an array of input images, which will be batch processed.
- * @returns An array of facial expressions with corresponding probabilities or array thereof in case of batch input.
- */
-export declare const recognizeFaceExpressions: (input: TNetInput) => Promise;
-export declare const loadSsdMobilenetv1Model: (url: string) => Promise;
-export declare const loadTinyFaceDetectorModel: (url: string) => Promise;
-export declare const loadMtcnnModel: (url: string) => Promise;
-export declare const loadTinyYolov2Model: (url: string) => Promise;
-export declare const loadFaceLandmarkModel: (url: string) => Promise;
-export declare const loadFaceLandmarkTinyModel: (url: string) => Promise;
-export declare const loadFaceRecognitionModel: (url: string) => Promise;
-export declare const loadFaceExpressionModel: (url: string) => Promise;
-export declare const loadFaceDetectionModel: (url: string) => Promise;
-export declare const locateFaces: (input: TNetInput, options: SsdMobilenetv1Options) => Promise;
-export declare const detectLandmarks: (input: TNetInput) => Promise;
diff --git a/build/commonjs/globalApi/nets.js b/build/commonjs/globalApi/nets.js
deleted file mode 100644
index 30e124f8..00000000
--- a/build/commonjs/globalApi/nets.js
+++ /dev/null
@@ -1,120 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var FaceExpressionNet_1 = require("../faceExpressionNet/FaceExpressionNet");
-var FaceLandmark68Net_1 = require("../faceLandmarkNet/FaceLandmark68Net");
-var FaceLandmark68TinyNet_1 = require("../faceLandmarkNet/FaceLandmark68TinyNet");
-var FaceRecognitionNet_1 = require("../faceRecognitionNet/FaceRecognitionNet");
-var Mtcnn_1 = require("../mtcnn/Mtcnn");
-var SsdMobilenetv1_1 = require("../ssdMobilenetv1/SsdMobilenetv1");
-var TinyFaceDetector_1 = require("../tinyFaceDetector/TinyFaceDetector");
-var tinyYolov2_1 = require("../tinyYolov2");
-exports.nets = {
- ssdMobilenetv1: new SsdMobilenetv1_1.SsdMobilenetv1(),
- tinyFaceDetector: new TinyFaceDetector_1.TinyFaceDetector(),
- tinyYolov2: new tinyYolov2_1.TinyYolov2(),
- mtcnn: new Mtcnn_1.Mtcnn(),
- faceLandmark68Net: new FaceLandmark68Net_1.FaceLandmark68Net(),
- faceLandmark68TinyNet: new FaceLandmark68TinyNet_1.FaceLandmark68TinyNet(),
- faceRecognitionNet: new FaceRecognitionNet_1.FaceRecognitionNet(),
- faceExpressionNet: new FaceExpressionNet_1.FaceExpressionNet()
-};
-/**
- * Attempts to detect all faces in an image using SSD Mobilenetv1 Network.
- *
- * @param input The input image.
- * @param options (optional, default: see SsdMobilenetv1Options constructor for default parameters).
- * @returns Bounding box of each face with score.
- */
-exports.ssdMobilenetv1 = function (input, options) {
- return exports.nets.ssdMobilenetv1.locateFaces(input, options);
-};
-/**
- * Attempts to detect all faces in an image using the Tiny Face Detector.
- *
- * @param input The input image.
- * @param options (optional, default: see TinyFaceDetectorOptions constructor for default parameters).
- * @returns Bounding box of each face with score.
- */
-exports.tinyFaceDetector = function (input, options) {
- return exports.nets.tinyFaceDetector.locateFaces(input, options);
-};
-/**
- * Attempts to detect all faces in an image using the Tiny Yolov2 Network.
- *
- * @param input The input image.
- * @param options (optional, default: see TinyYolov2Options constructor for default parameters).
- * @returns Bounding box of each face with score.
- */
-exports.tinyYolov2 = function (input, options) {
- return exports.nets.tinyYolov2.locateFaces(input, options);
-};
-/**
- * Attempts to detect all faces in an image and the 5 point face landmarks
- * of each detected face using the MTCNN Network.
- *
- * @param input The input image.
- * @param options (optional, default: see MtcnnOptions constructor for default parameters).
- * @returns Bounding box of each face with score and 5 point face landmarks.
- */
-exports.mtcnn = function (input, options) {
- return exports.nets.mtcnn.forward(input, options);
-};
-/**
- * Detects the 68 point face landmark positions of the face shown in an image.
- *
- * @param inputs The face image extracted from the bounding box of a face. Can
- * also be an array of input images, which will be batch processed.
- * @returns 68 point face landmarks or array thereof in case of batch input.
- */
-exports.detectFaceLandmarks = function (input) {
- return exports.nets.faceLandmark68Net.detectLandmarks(input);
-};
-/**
- * Detects the 68 point face landmark positions of the face shown in an image
- * using a tinier version of the 68 point face landmark model, which is slightly
- * faster at inference, but also slightly less accurate.
- *
- * @param inputs The face image extracted from the bounding box of a face. Can
- * also be an array of input images, which will be batch processed.
- * @returns 68 point face landmarks or array thereof in case of batch input.
- */
-exports.detectFaceLandmarksTiny = function (input) {
- return exports.nets.faceLandmark68TinyNet.detectLandmarks(input);
-};
-/**
- * Computes a 128 entry vector (face descriptor / face embeddings) from the face shown in an image,
- * which uniquely represents the features of that persons face. The computed face descriptor can
- * be used to measure the similarity between faces, by computing the euclidean distance of two
- * face descriptors.
- *
- * @param inputs The face image extracted from the aligned bounding box of a face. Can
- * also be an array of input images, which will be batch processed.
- * @returns Face descriptor with 128 entries or array thereof in case of batch input.
- */
-exports.computeFaceDescriptor = function (input) {
- return exports.nets.faceRecognitionNet.computeFaceDescriptor(input);
-};
-/**
- * Recognizes the facial expressions of a face and returns the likelyhood of
- * each facial expression.
- *
- * @param inputs The face image extracted from the bounding box of a face. Can
- * also be an array of input images, which will be batch processed.
- * @returns An array of facial expressions with corresponding probabilities or array thereof in case of batch input.
- */
-exports.recognizeFaceExpressions = function (input) {
- return exports.nets.faceExpressionNet.predictExpressions(input);
-};
-exports.loadSsdMobilenetv1Model = function (url) { return exports.nets.ssdMobilenetv1.load(url); };
-exports.loadTinyFaceDetectorModel = function (url) { return exports.nets.tinyFaceDetector.load(url); };
-exports.loadMtcnnModel = function (url) { return exports.nets.mtcnn.load(url); };
-exports.loadTinyYolov2Model = function (url) { return exports.nets.tinyYolov2.load(url); };
-exports.loadFaceLandmarkModel = function (url) { return exports.nets.faceLandmark68Net.load(url); };
-exports.loadFaceLandmarkTinyModel = function (url) { return exports.nets.faceLandmark68TinyNet.load(url); };
-exports.loadFaceRecognitionModel = function (url) { return exports.nets.faceRecognitionNet.load(url); };
-exports.loadFaceExpressionModel = function (url) { return exports.nets.faceExpressionNet.load(url); };
-// backward compatibility
-exports.loadFaceDetectionModel = exports.loadSsdMobilenetv1Model;
-exports.locateFaces = exports.ssdMobilenetv1;
-exports.detectLandmarks = exports.detectFaceLandmarks;
-//# sourceMappingURL=nets.js.map
\ No newline at end of file
diff --git a/build/commonjs/globalApi/nets.js.map b/build/commonjs/globalApi/nets.js.map
deleted file mode 100644
index a4f27013..00000000
--- a/build/commonjs/globalApi/nets.js.map
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/build/commonjs/globalApi/types.d.ts b/build/commonjs/globalApi/types.d.ts
deleted file mode 100644
index 9558c95e..00000000
--- a/build/commonjs/globalApi/types.d.ts
+++ /dev/null
@@ -1,7 +0,0 @@
-import { TfjsImageRecognitionBase, TNetInput } from 'tfjs-image-recognition-base';
-import { FaceDetection } from '../classes/FaceDetection';
-import { MtcnnOptions } from '../mtcnn/MtcnnOptions';
-import { SsdMobilenetv1Options } from '../ssdMobilenetv1/SsdMobilenetv1Options';
-import { TinyFaceDetectorOptions } from '../tinyFaceDetector/TinyFaceDetectorOptions';
-export declare type FaceDetectionOptions = TinyFaceDetectorOptions | SsdMobilenetv1Options | MtcnnOptions | TfjsImageRecognitionBase.TinyYolov2Options;
-export declare type FaceDetectionFunction = (input: TNetInput) => Promise;
diff --git a/build/commonjs/globalApi/types.js b/build/commonjs/globalApi/types.js
deleted file mode 100644
index 11e638d1..00000000
--- a/build/commonjs/globalApi/types.js
+++ /dev/null
@@ -1,3 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-//# sourceMappingURL=types.js.map
\ No newline at end of file
diff --git a/build/commonjs/globalApi/types.js.map b/build/commonjs/globalApi/types.js.map
deleted file mode 100644
index e079214c..00000000
--- a/build/commonjs/globalApi/types.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"types.js","sourceRoot":"","sources":["../../../src/globalApi/types.ts"],"names":[],"mappings":""}
\ No newline at end of file
diff --git a/build/commonjs/index.d.ts b/build/commonjs/index.d.ts
deleted file mode 100644
index d223ad53..00000000
--- a/build/commonjs/index.d.ts
+++ /dev/null
@@ -1,16 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-export { tf };
-export * from 'tfjs-image-recognition-base';
-export * from './classes/index';
-export * from './dom/index';
-export * from './faceExpressionNet/index';
-export * from './faceLandmarkNet/index';
-export * from './faceRecognitionNet/index';
-export * from './factories/index';
-export * from './globalApi/index';
-export * from './mtcnn/index';
-export * from './ssdMobilenetv1/index';
-export * from './tinyFaceDetector/index';
-export * from './tinyYolov2/index';
-export * from './euclideanDistance';
-export * from './resizeResults';
diff --git a/build/commonjs/index.js b/build/commonjs/index.js
deleted file mode 100644
index c97c881b..00000000
--- a/build/commonjs/index.js
+++ /dev/null
@@ -1,20 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-var tf = require("@tensorflow/tfjs-core");
-exports.tf = tf;
-tslib_1.__exportStar(require("tfjs-image-recognition-base"), exports);
-tslib_1.__exportStar(require("./classes/index"), exports);
-tslib_1.__exportStar(require("./dom/index"), exports);
-tslib_1.__exportStar(require("./faceExpressionNet/index"), exports);
-tslib_1.__exportStar(require("./faceLandmarkNet/index"), exports);
-tslib_1.__exportStar(require("./faceRecognitionNet/index"), exports);
-tslib_1.__exportStar(require("./factories/index"), exports);
-tslib_1.__exportStar(require("./globalApi/index"), exports);
-tslib_1.__exportStar(require("./mtcnn/index"), exports);
-tslib_1.__exportStar(require("./ssdMobilenetv1/index"), exports);
-tslib_1.__exportStar(require("./tinyFaceDetector/index"), exports);
-tslib_1.__exportStar(require("./tinyYolov2/index"), exports);
-tslib_1.__exportStar(require("./euclideanDistance"), exports);
-tslib_1.__exportStar(require("./resizeResults"), exports);
-//# sourceMappingURL=index.js.map
\ No newline at end of file
diff --git a/build/commonjs/index.js.map b/build/commonjs/index.js.map
deleted file mode 100644
index c453a423..00000000
--- a/build/commonjs/index.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"index.js","sourceRoot":"","sources":["../../src/index.ts"],"names":[],"mappings":";;;AAAA,0CAA4C;AAG1C,gBAAE;AAGJ,sEAA4C;AAE5C,0DAAgC;AAChC,sDAA2B;AAC3B,oEAA0C;AAC1C,kEAAwC;AACxC,qEAA2C;AAC3C,4DAAkC;AAClC,4DAAkC;AAClC,wDAA8B;AAC9B,iEAAuC;AACvC,mEAAyC;AACzC,6DAAmC;AAEnC,8DAAoC;AACpC,0DAAgC"}
\ No newline at end of file
diff --git a/build/commonjs/mtcnn/Mtcnn.d.ts b/build/commonjs/mtcnn/Mtcnn.d.ts
deleted file mode 100644
index 35384f72..00000000
--- a/build/commonjs/mtcnn/Mtcnn.d.ts
+++ /dev/null
@@ -1,25 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { NetInput, NeuralNetwork, TNetInput } from 'tfjs-image-recognition-base';
-import { IMtcnnOptions } from './MtcnnOptions';
-import { MtcnnResult, NetParams } from './types';
-export declare class Mtcnn extends NeuralNetwork {
- constructor();
- forwardInput(input: NetInput, forwardParams?: IMtcnnOptions): Promise<{
- results: MtcnnResult[];
- stats: any;
- }>;
- forward(input: TNetInput, forwardParams?: IMtcnnOptions): Promise;
- forwardWithStats(input: TNetInput, forwardParams?: IMtcnnOptions): Promise<{
- results: MtcnnResult[];
- stats: any;
- }>;
- protected getDefaultModelName(): string;
- protected extractParamsFromWeigthMap(weightMap: tf.NamedTensorMap): {
- params: NetParams;
- paramMappings: import("tfjs-image-recognition-base/build/commonjs/common").ParamMapping[];
- };
- protected extractParams(weights: Float32Array): {
- params: NetParams;
- paramMappings: import("tfjs-image-recognition-base/build/commonjs/common").ParamMapping[];
- };
-}
diff --git a/build/commonjs/mtcnn/Mtcnn.js b/build/commonjs/mtcnn/Mtcnn.js
deleted file mode 100644
index d94c270e..00000000
--- a/build/commonjs/mtcnn/Mtcnn.js
+++ /dev/null
@@ -1,137 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-var tf = require("@tensorflow/tfjs-core");
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-var FaceDetection_1 = require("../classes/FaceDetection");
-var FaceLandmarks5_1 = require("../classes/FaceLandmarks5");
-var factories_1 = require("../factories");
-var bgrToRgbTensor_1 = require("./bgrToRgbTensor");
-var config_1 = require("./config");
-var extractParams_1 = require("./extractParams");
-var extractParamsFromWeigthMap_1 = require("./extractParamsFromWeigthMap");
-var getSizesForScale_1 = require("./getSizesForScale");
-var MtcnnOptions_1 = require("./MtcnnOptions");
-var pyramidDown_1 = require("./pyramidDown");
-var stage1_1 = require("./stage1");
-var stage2_1 = require("./stage2");
-var stage3_1 = require("./stage3");
-var Mtcnn = /** @class */ (function (_super) {
- tslib_1.__extends(Mtcnn, _super);
- function Mtcnn() {
- return _super.call(this, 'Mtcnn') || this;
- }
- Mtcnn.prototype.forwardInput = function (input, forwardParams) {
- if (forwardParams === void 0) { forwardParams = {}; }
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- var params, inputCanvas, stats, tsTotal, imgTensor, onReturn, _a, height, width, _b, minFaceSize, scaleFactor, maxNumScales, scoreThresholds, scaleSteps, scales, ts, out1, out2, out3, results;
- return tslib_1.__generator(this, function (_c) {
- switch (_c.label) {
- case 0:
- params = this.params;
- if (!params) {
- throw new Error('Mtcnn - load model before inference');
- }
- inputCanvas = input.canvases[0];
- if (!inputCanvas) {
- throw new Error('Mtcnn - inputCanvas is not defined, note that passing tensors into Mtcnn.forwardInput is not supported yet.');
- }
- stats = {};
- tsTotal = Date.now();
- imgTensor = tf.tidy(function () {
- return bgrToRgbTensor_1.bgrToRgbTensor(tf.expandDims(tf.browser.fromPixels(inputCanvas)).toFloat());
- });
- onReturn = function (results) {
- // dispose tensors on return
- imgTensor.dispose();
- stats.total = Date.now() - tsTotal;
- return results;
- };
- _a = imgTensor.shape.slice(1), height = _a[0], width = _a[1];
- _b = new MtcnnOptions_1.MtcnnOptions(forwardParams), minFaceSize = _b.minFaceSize, scaleFactor = _b.scaleFactor, maxNumScales = _b.maxNumScales, scoreThresholds = _b.scoreThresholds, scaleSteps = _b.scaleSteps;
- scales = (scaleSteps || pyramidDown_1.pyramidDown(minFaceSize, scaleFactor, [height, width]))
- .filter(function (scale) {
- var sizes = getSizesForScale_1.getSizesForScale(scale, [height, width]);
- return Math.min(sizes.width, sizes.height) > config_1.CELL_SIZE;
- })
- .slice(0, maxNumScales);
- stats.scales = scales;
- stats.pyramid = scales.map(function (scale) { return getSizesForScale_1.getSizesForScale(scale, [height, width]); });
- ts = Date.now();
- return [4 /*yield*/, stage1_1.stage1(imgTensor, scales, scoreThresholds[0], params.pnet, stats)];
- case 1:
- out1 = _c.sent();
- stats.total_stage1 = Date.now() - ts;
- if (!out1.boxes.length) {
- return [2 /*return*/, onReturn({ results: [], stats: stats })];
- }
- stats.stage2_numInputBoxes = out1.boxes.length;
- // using the inputCanvas to extract and resize the image patches, since it is faster
- // than doing this on the gpu
- ts = Date.now();
- return [4 /*yield*/, stage2_1.stage2(inputCanvas, out1.boxes, scoreThresholds[1], params.rnet, stats)];
- case 2:
- out2 = _c.sent();
- stats.total_stage2 = Date.now() - ts;
- if (!out2.boxes.length) {
- return [2 /*return*/, onReturn({ results: [], stats: stats })];
- }
- stats.stage3_numInputBoxes = out2.boxes.length;
- ts = Date.now();
- return [4 /*yield*/, stage3_1.stage3(inputCanvas, out2.boxes, scoreThresholds[2], params.onet, stats)];
- case 3:
- out3 = _c.sent();
- stats.total_stage3 = Date.now() - ts;
- results = out3.boxes.map(function (box, idx) { return factories_1.extendWithFaceLandmarks(factories_1.extendWithFaceDetection({}, new FaceDetection_1.FaceDetection(out3.scores[idx], new tfjs_image_recognition_base_1.Rect(box.left / width, box.top / height, box.width / width, box.height / height), {
- height: height,
- width: width
- })), new FaceLandmarks5_1.FaceLandmarks5(out3.points[idx].map(function (pt) { return pt.sub(new tfjs_image_recognition_base_1.Point(box.left, box.top)).div(new tfjs_image_recognition_base_1.Point(box.width, box.height)); }), { width: box.width, height: box.height })); });
- return [2 /*return*/, onReturn({ results: results, stats: stats })];
- }
- });
- });
- };
- Mtcnn.prototype.forward = function (input, forwardParams) {
- if (forwardParams === void 0) { forwardParams = {}; }
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- var _a;
- return tslib_1.__generator(this, function (_b) {
- switch (_b.label) {
- case 0:
- _a = this.forwardInput;
- return [4 /*yield*/, tfjs_image_recognition_base_1.toNetInput(input)];
- case 1: return [4 /*yield*/, _a.apply(this, [_b.sent(),
- forwardParams])];
- case 2: return [2 /*return*/, (_b.sent()).results];
- }
- });
- });
- };
- Mtcnn.prototype.forwardWithStats = function (input, forwardParams) {
- if (forwardParams === void 0) { forwardParams = {}; }
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- var _a;
- return tslib_1.__generator(this, function (_b) {
- switch (_b.label) {
- case 0:
- _a = this.forwardInput;
- return [4 /*yield*/, tfjs_image_recognition_base_1.toNetInput(input)];
- case 1: return [2 /*return*/, _a.apply(this, [_b.sent(),
- forwardParams])];
- }
- });
- });
- };
- Mtcnn.prototype.getDefaultModelName = function () {
- return 'mtcnn_model';
- };
- Mtcnn.prototype.extractParamsFromWeigthMap = function (weightMap) {
- return extractParamsFromWeigthMap_1.extractParamsFromWeigthMap(weightMap);
- };
- Mtcnn.prototype.extractParams = function (weights) {
- return extractParams_1.extractParams(weights);
- };
- return Mtcnn;
-}(tfjs_image_recognition_base_1.NeuralNetwork));
-exports.Mtcnn = Mtcnn;
-//# sourceMappingURL=Mtcnn.js.map
\ No newline at end of file
diff --git a/build/commonjs/mtcnn/Mtcnn.js.map b/build/commonjs/mtcnn/Mtcnn.js.map
deleted file mode 100644
index 2f4b6f00..00000000
--- a/build/commonjs/mtcnn/Mtcnn.js.map
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/build/commonjs/mtcnn/MtcnnBox.d.ts b/build/commonjs/mtcnn/MtcnnBox.d.ts
deleted file mode 100644
index e61cf2f0..00000000
--- a/build/commonjs/mtcnn/MtcnnBox.d.ts
+++ /dev/null
@@ -1,4 +0,0 @@
-import { Box } from 'tfjs-image-recognition-base';
-export declare class MtcnnBox extends Box {
- constructor(left: number, top: number, right: number, bottom: number);
-}
diff --git a/build/commonjs/mtcnn/MtcnnBox.js b/build/commonjs/mtcnn/MtcnnBox.js
deleted file mode 100644
index 1759d29b..00000000
--- a/build/commonjs/mtcnn/MtcnnBox.js
+++ /dev/null
@@ -1,13 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-var MtcnnBox = /** @class */ (function (_super) {
- tslib_1.__extends(MtcnnBox, _super);
- function MtcnnBox(left, top, right, bottom) {
- return _super.call(this, { left: left, top: top, right: right, bottom: bottom }, true) || this;
- }
- return MtcnnBox;
-}(tfjs_image_recognition_base_1.Box));
-exports.MtcnnBox = MtcnnBox;
-//# sourceMappingURL=MtcnnBox.js.map
\ No newline at end of file
diff --git a/build/commonjs/mtcnn/MtcnnBox.js.map b/build/commonjs/mtcnn/MtcnnBox.js.map
deleted file mode 100644
index 68404922..00000000
--- a/build/commonjs/mtcnn/MtcnnBox.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"MtcnnBox.js","sourceRoot":"","sources":["../../../src/mtcnn/MtcnnBox.ts"],"names":[],"mappings":";;;AAAA,2EAAkD;AAElD;IAA8B,oCAAa;IACzC,kBAAY,IAAY,EAAE,GAAW,EAAE,KAAa,EAAE,MAAc;eAClE,kBAAM,EAAE,IAAI,MAAA,EAAE,GAAG,KAAA,EAAE,KAAK,OAAA,EAAE,MAAM,QAAA,EAAE,EAAE,IAAI,CAAC;IAC3C,CAAC;IACH,eAAC;AAAD,CAAC,AAJD,CAA8B,iCAAG,GAIhC;AAJY,4BAAQ"}
\ No newline at end of file
diff --git a/build/commonjs/mtcnn/MtcnnOptions.d.ts b/build/commonjs/mtcnn/MtcnnOptions.d.ts
deleted file mode 100644
index 140195e1..00000000
--- a/build/commonjs/mtcnn/MtcnnOptions.d.ts
+++ /dev/null
@@ -1,21 +0,0 @@
-export interface IMtcnnOptions {
- minFaceSize?: number;
- scaleFactor?: number;
- maxNumScales?: number;
- scoreThresholds?: number[];
- scaleSteps?: number[];
-}
-export declare class MtcnnOptions {
- protected _name: string;
- private _minFaceSize;
- private _scaleFactor;
- private _maxNumScales;
- private _scoreThresholds;
- private _scaleSteps;
- constructor({ minFaceSize, scaleFactor, maxNumScales, scoreThresholds, scaleSteps }?: IMtcnnOptions);
- readonly minFaceSize: number;
- readonly scaleFactor: number;
- readonly maxNumScales: number;
- readonly scoreThresholds: number[];
- readonly scaleSteps: number[] | undefined;
-}
diff --git a/build/commonjs/mtcnn/MtcnnOptions.js b/build/commonjs/mtcnn/MtcnnOptions.js
deleted file mode 100644
index 9581a200..00000000
--- a/build/commonjs/mtcnn/MtcnnOptions.js
+++ /dev/null
@@ -1,59 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var MtcnnOptions = /** @class */ (function () {
- function MtcnnOptions(_a) {
- var _b = _a === void 0 ? {} : _a, minFaceSize = _b.minFaceSize, scaleFactor = _b.scaleFactor, maxNumScales = _b.maxNumScales, scoreThresholds = _b.scoreThresholds, scaleSteps = _b.scaleSteps;
- this._name = 'MtcnnOptions';
- this._minFaceSize = minFaceSize || 20;
- this._scaleFactor = scaleFactor || 0.709;
- this._maxNumScales = maxNumScales || 10;
- this._scoreThresholds = scoreThresholds || [0.6, 0.7, 0.7];
- this._scaleSteps = scaleSteps;
- if (typeof this._minFaceSize !== 'number' || this._minFaceSize < 0) {
- throw new Error(this._name + " - expected minFaceSize to be a number > 0");
- }
- if (typeof this._scaleFactor !== 'number' || this._scaleFactor <= 0 || this._scaleFactor >= 1) {
- throw new Error(this._name + " - expected scaleFactor to be a number between 0 and 1");
- }
- if (typeof this._maxNumScales !== 'number' || this._maxNumScales < 0) {
- throw new Error(this._name + " - expected maxNumScales to be a number > 0");
- }
- if (!Array.isArray(this._scoreThresholds)
- || this._scoreThresholds.length !== 3
- || this._scoreThresholds.some(function (th) { return typeof th !== 'number'; })) {
- throw new Error(this._name + " - expected scoreThresholds to be an array of numbers of length 3");
- }
- if (this._scaleSteps
- && (!Array.isArray(this._scaleSteps) || this._scaleSteps.some(function (th) { return typeof th !== 'number'; }))) {
- throw new Error(this._name + " - expected scaleSteps to be an array of numbers");
- }
- }
- Object.defineProperty(MtcnnOptions.prototype, "minFaceSize", {
- get: function () { return this._minFaceSize; },
- enumerable: true,
- configurable: true
- });
- Object.defineProperty(MtcnnOptions.prototype, "scaleFactor", {
- get: function () { return this._scaleFactor; },
- enumerable: true,
- configurable: true
- });
- Object.defineProperty(MtcnnOptions.prototype, "maxNumScales", {
- get: function () { return this._maxNumScales; },
- enumerable: true,
- configurable: true
- });
- Object.defineProperty(MtcnnOptions.prototype, "scoreThresholds", {
- get: function () { return this._scoreThresholds; },
- enumerable: true,
- configurable: true
- });
- Object.defineProperty(MtcnnOptions.prototype, "scaleSteps", {
- get: function () { return this._scaleSteps; },
- enumerable: true,
- configurable: true
- });
- return MtcnnOptions;
-}());
-exports.MtcnnOptions = MtcnnOptions;
-//# sourceMappingURL=MtcnnOptions.js.map
\ No newline at end of file
diff --git a/build/commonjs/mtcnn/MtcnnOptions.js.map b/build/commonjs/mtcnn/MtcnnOptions.js.map
deleted file mode 100644
index d3f14f41..00000000
--- a/build/commonjs/mtcnn/MtcnnOptions.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"MtcnnOptions.js","sourceRoot":"","sources":["../../../src/mtcnn/MtcnnOptions.ts"],"names":[],"mappings":";;AAQA;IASE,sBAAY,EAA2F;YAA3F,4BAA2F,EAAzF,4BAAW,EAAE,4BAAW,EAAE,8BAAY,EAAE,oCAAe,EAAE,0BAAU;QARvE,UAAK,GAAW,cAAc,CAAA;QAStC,IAAI,CAAC,YAAY,GAAG,WAAW,IAAI,EAAE,CAAA;QACrC,IAAI,CAAC,YAAY,GAAG,WAAW,IAAI,KAAK,CAAA;QACxC,IAAI,CAAC,aAAa,GAAG,YAAY,IAAI,EAAE,CAAA;QACvC,IAAI,CAAC,gBAAgB,GAAG,eAAe,IAAI,CAAC,GAAG,EAAE,GAAG,EAAE,GAAG,CAAC,CAAA;QAC1D,IAAI,CAAC,WAAW,GAAG,UAAU,CAAA;QAE7B,IAAI,OAAO,IAAI,CAAC,YAAY,KAAK,QAAQ,IAAI,IAAI,CAAC,YAAY,GAAG,CAAC,EAAE;YAClE,MAAM,IAAI,KAAK,CAAI,IAAI,CAAC,KAAK,+CAA4C,CAAC,CAAA;SAC3E;QAED,IAAI,OAAO,IAAI,CAAC,YAAY,KAAK,QAAQ,IAAI,IAAI,CAAC,YAAY,IAAI,CAAC,IAAI,IAAI,CAAC,YAAY,IAAI,CAAC,EAAE;YAC7F,MAAM,IAAI,KAAK,CAAI,IAAI,CAAC,KAAK,2DAAwD,CAAC,CAAA;SACvF;QAED,IAAI,OAAO,IAAI,CAAC,aAAa,KAAK,QAAQ,IAAI,IAAI,CAAC,aAAa,GAAG,CAAC,EAAE;YACpE,MAAM,IAAI,KAAK,CAAI,IAAI,CAAC,KAAK,gDAA6C,CAAC,CAAA;SAC5E;QAED,IACE,CAAC,KAAK,CAAC,OAAO,CAAC,IAAI,CAAC,gBAAgB,CAAC;eAChC,IAAI,CAAC,gBAAgB,CAAC,MAAM,KAAK,CAAC;eAClC,IAAI,CAAC,gBAAgB,CAAC,IAAI,CAAC,UAAA,EAAE,IAAI,OAAA,OAAO,EAAE,KAAK,QAAQ,EAAtB,CAAsB,CAAC,EAC7D;YACA,MAAM,IAAI,KAAK,CAAI,IAAI,CAAC,KAAK,sEAAmE,CAAC,CAAA;SAClG;QAED,IACE,IAAI,CAAC,WAAW;eACX,CAAC,CAAC,KAAK,CAAC,OAAO,CAAC,IAAI,CAAC,WAAW,CAAC,IAAI,IAAI,CAAC,WAAW,CAAC,IAAI,CAAC,UAAA,EAAE,IAAI,OAAA,OAAO,EAAE,KAAK,QAAQ,EAAtB,CAAsB,CAAC,CAAC,EAC9F;YACA,MAAM,IAAI,KAAK,CAAI,IAAI,CAAC,KAAK,qDAAkD,CAAC,CAAA;SACjF;IACH,CAAC;IAED,sBAAI,qCAAW;aAAf,cAA4B,OAAO,IAAI,CAAC,YAAY,CAAA,CAAC,CAAC;;;OAAA;IACtD,sBAAI,qCAAW;aAAf,cAA4B,OAAO,IAAI,CAAC,YAAY,CAAA,CAAC,CAAC;;;OAAA;IACtD,sBAAI,sCAAY;aAAhB,cAA6B,OAAO,IAAI,CAAC,aAAa,CAAA,CAAC,CAAC;;;OAAA;IACxD,sBAAI,yCAAe;aAAnB,cAAkC,OAAO,IAAI,CAAC,gBAAgB,CAAA,CAAC,CAAC;;;OAAA;IAChE,sBAAI,oCAAU;aAAd,cAAyC,OAAO,IAAI,CAAC,WAAW,CAAA,CAAC,CAAC;;;OAAA;IACpE,mBAAC;AAAD,CAAC,AAjDD,IAiDC;AAjDY,oCAAY"}
\ No newline at end of file
diff --git a/build/commonjs/mtcnn/ONet.d.ts b/build/commonjs/mtcnn/ONet.d.ts
deleted file mode 100644
index dfc7f113..00000000
--- a/build/commonjs/mtcnn/ONet.d.ts
+++ /dev/null
@@ -1,7 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { ONetParams } from './types';
-export declare function ONet(x: tf.Tensor4D, params: ONetParams): {
- scores: tf.Tensor1D;
- regions: tf.Tensor2D;
- points: tf.Tensor2D;
-};
diff --git a/build/commonjs/mtcnn/ONet.js b/build/commonjs/mtcnn/ONet.js
deleted file mode 100644
index a8ae44c7..00000000
--- a/build/commonjs/mtcnn/ONet.js
+++ /dev/null
@@ -1,27 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tf = require("@tensorflow/tfjs-core");
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-var fullyConnectedLayer_1 = require("../common/fullyConnectedLayer");
-var prelu_1 = require("./prelu");
-var sharedLayers_1 = require("./sharedLayers");
-function ONet(x, params) {
- return tf.tidy(function () {
- var out = sharedLayers_1.sharedLayer(x, params);
- out = tf.maxPool(out, [2, 2], [2, 2], 'same');
- out = tfjs_image_recognition_base_1.TfjsImageRecognitionBase.convLayer(out, params.conv4, 'valid');
- out = prelu_1.prelu(out, params.prelu4_alpha);
- var vectorized = tf.reshape(out, [out.shape[0], params.fc1.weights.shape[0]]);
- var fc1 = fullyConnectedLayer_1.fullyConnectedLayer(vectorized, params.fc1);
- var prelu5 = prelu_1.prelu(fc1, params.prelu5_alpha);
- var fc2_1 = fullyConnectedLayer_1.fullyConnectedLayer(prelu5, params.fc2_1);
- var max = tf.expandDims(tf.max(fc2_1, 1), 1);
- var prob = tf.softmax(tf.sub(fc2_1, max), 1);
- var regions = fullyConnectedLayer_1.fullyConnectedLayer(prelu5, params.fc2_2);
- var points = fullyConnectedLayer_1.fullyConnectedLayer(prelu5, params.fc2_3);
- var scores = tf.unstack(prob, 1)[1];
- return { scores: scores, regions: regions, points: points };
- });
-}
-exports.ONet = ONet;
-//# sourceMappingURL=ONet.js.map
\ No newline at end of file
diff --git a/build/commonjs/mtcnn/ONet.js.map b/build/commonjs/mtcnn/ONet.js.map
deleted file mode 100644
index 7d5b6ccb..00000000
--- a/build/commonjs/mtcnn/ONet.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"ONet.js","sourceRoot":"","sources":["../../../src/mtcnn/ONet.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAC5C,2EAAuE;AAEvE,qEAAoE;AACpE,iCAAgC;AAChC,+CAA6C;AAG7C,SAAgB,IAAI,CAAC,CAAc,EAAE,MAAkB;IACrD,OAAO,EAAE,CAAC,IAAI,CAAC;QAEb,IAAI,GAAG,GAAG,0BAAW,CAAC,CAAC,EAAE,MAAM,CAAC,CAAA;QAChC,GAAG,GAAG,EAAE,CAAC,OAAO,CAAC,GAAG,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,MAAM,CAAC,CAAA;QAC7C,GAAG,GAAG,sDAAwB,CAAC,SAAS,CAAC,GAAG,EAAE,MAAM,CAAC,KAAK,EAAE,OAAO,CAAC,CAAA;QACpE,GAAG,GAAG,aAAK,CAAc,GAAG,EAAE,MAAM,CAAC,YAAY,CAAC,CAAA;QAElD,IAAM,UAAU,GAAG,EAAE,CAAC,OAAO,CAAC,GAAG,EAAE,CAAC,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE,MAAM,CAAC,GAAG,CAAC,OAAO,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,CAAgB,CAAA;QAC9F,IAAM,GAAG,GAAG,yCAAmB,CAAC,UAAU,EAAE,MAAM,CAAC,GAAG,CAAC,CAAA;QACvD,IAAM,MAAM,GAAG,aAAK,CAAc,GAAG,EAAE,MAAM,CAAC,YAAY,CAAC,CAAA;QAC3D,IAAM,KAAK,GAAG,yCAAmB,CAAC,MAAM,EAAE,MAAM,CAAC,KAAK,CAAC,CAAA;QACvD,IAAM,GAAG,GAAG,EAAE,CAAC,UAAU,CAAC,EAAE,CAAC,GAAG,CAAC,KAAK,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAA;QAE9C,IAAM,IAAI,GAAG,EAAE,CAAC,OAAO,CAAC,EAAE,CAAC,GAAG,CAAC,KAAK,EAAE,GAAG,CAAC,EAAE,CAAC,CAAgB,CAAA;QAC7D,IAAM,OAAO,GAAG,yCAAmB,CAAC,MAAM,EAAE,MAAM,CAAC,KAAK,CAAC,CAAA;QACzD,IAAM,MAAM,GAAG,yCAAmB,CAAC,MAAM,EAAE,MAAM,CAAC,KAAK,CAAC,CAAA;QAExD,IAAM,MAAM,GAAG,EAAE,CAAC,OAAO,CAAC,IAAI,EAAE,CAAC,CAAC,CAAC,CAAC,CAAgB,CAAA;QACpD,OAAO,EAAE,MAAM,QAAA,EAAE,OAAO,SAAA,EAAE,MAAM,QAAA,EAAE,CAAA;IACpC,CAAC,CAAC,CAAA;AACJ,CAAC;AArBD,oBAqBC"}
\ No newline at end of file
diff --git a/build/commonjs/mtcnn/PNet.d.ts b/build/commonjs/mtcnn/PNet.d.ts
deleted file mode 100644
index 74e2c841..00000000
--- a/build/commonjs/mtcnn/PNet.d.ts
+++ /dev/null
@@ -1,6 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { PNetParams } from './types';
-export declare function PNet(x: tf.Tensor4D, params: PNetParams): {
- prob: tf.Tensor4D;
- regions: tf.Tensor4D;
-};
diff --git a/build/commonjs/mtcnn/PNet.js b/build/commonjs/mtcnn/PNet.js
deleted file mode 100644
index ffd40a2e..00000000
--- a/build/commonjs/mtcnn/PNet.js
+++ /dev/null
@@ -1,17 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tf = require("@tensorflow/tfjs-core");
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-var sharedLayers_1 = require("./sharedLayers");
-function PNet(x, params) {
- return tf.tidy(function () {
- var out = sharedLayers_1.sharedLayer(x, params, true);
- var conv = tfjs_image_recognition_base_1.TfjsImageRecognitionBase.convLayer(out, params.conv4_1, 'valid');
- var max = tf.expandDims(tf.max(conv, 3), 3);
- var prob = tf.softmax(tf.sub(conv, max), 3);
- var regions = tfjs_image_recognition_base_1.TfjsImageRecognitionBase.convLayer(out, params.conv4_2, 'valid');
- return { prob: prob, regions: regions };
- });
-}
-exports.PNet = PNet;
-//# sourceMappingURL=PNet.js.map
\ No newline at end of file
diff --git a/build/commonjs/mtcnn/PNet.js.map b/build/commonjs/mtcnn/PNet.js.map
deleted file mode 100644
index 9aa12658..00000000
--- a/build/commonjs/mtcnn/PNet.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"PNet.js","sourceRoot":"","sources":["../../../src/mtcnn/PNet.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAC5C,2EAAuE;AAEvE,+CAA6C;AAG7C,SAAgB,IAAI,CAAC,CAAc,EAAE,MAAkB;IACrD,OAAO,EAAE,CAAC,IAAI,CAAC;QAEb,IAAI,GAAG,GAAG,0BAAW,CAAC,CAAC,EAAE,MAAM,EAAE,IAAI,CAAC,CAAA;QACtC,IAAM,IAAI,GAAG,sDAAwB,CAAC,SAAS,CAAC,GAAG,EAAE,MAAM,CAAC,OAAO,EAAE,OAAO,CAAC,CAAA;QAC7E,IAAM,GAAG,GAAG,EAAE,CAAC,UAAU,CAAC,EAAE,CAAC,GAAG,CAAC,IAAI,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAA;QAC7C,IAAM,IAAI,GAAG,EAAE,CAAC,OAAO,CAAC,EAAE,CAAC,GAAG,CAAC,IAAI,EAAE,GAAG,CAAC,EAAE,CAAC,CAAgB,CAAA;QAC5D,IAAM,OAAO,GAAG,sDAAwB,CAAC,SAAS,CAAC,GAAG,EAAE,MAAM,CAAC,OAAO,EAAE,OAAO,CAAC,CAAA;QAEhF,OAAO,EAAE,IAAI,MAAA,EAAE,OAAO,SAAA,EAAE,CAAA;IAC1B,CAAC,CAAC,CAAA;AACJ,CAAC;AAXD,oBAWC"}
\ No newline at end of file
diff --git a/build/commonjs/mtcnn/RNet.d.ts b/build/commonjs/mtcnn/RNet.d.ts
deleted file mode 100644
index c6883ff7..00000000
--- a/build/commonjs/mtcnn/RNet.d.ts
+++ /dev/null
@@ -1,6 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { RNetParams } from './types';
-export declare function RNet(x: tf.Tensor4D, params: RNetParams): {
- scores: tf.Tensor1D;
- regions: tf.Tensor2D;
-};
diff --git a/build/commonjs/mtcnn/RNet.js b/build/commonjs/mtcnn/RNet.js
deleted file mode 100644
index e00a33e5..00000000
--- a/build/commonjs/mtcnn/RNet.js
+++ /dev/null
@@ -1,22 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tf = require("@tensorflow/tfjs-core");
-var fullyConnectedLayer_1 = require("../common/fullyConnectedLayer");
-var prelu_1 = require("./prelu");
-var sharedLayers_1 = require("./sharedLayers");
-function RNet(x, params) {
- return tf.tidy(function () {
- var convOut = sharedLayers_1.sharedLayer(x, params);
- var vectorized = tf.reshape(convOut, [convOut.shape[0], params.fc1.weights.shape[0]]);
- var fc1 = fullyConnectedLayer_1.fullyConnectedLayer(vectorized, params.fc1);
- var prelu4 = prelu_1.prelu(fc1, params.prelu4_alpha);
- var fc2_1 = fullyConnectedLayer_1.fullyConnectedLayer(prelu4, params.fc2_1);
- var max = tf.expandDims(tf.max(fc2_1, 1), 1);
- var prob = tf.softmax(tf.sub(fc2_1, max), 1);
- var regions = fullyConnectedLayer_1.fullyConnectedLayer(prelu4, params.fc2_2);
- var scores = tf.unstack(prob, 1)[1];
- return { scores: scores, regions: regions };
- });
-}
-exports.RNet = RNet;
-//# sourceMappingURL=RNet.js.map
\ No newline at end of file
diff --git a/build/commonjs/mtcnn/RNet.js.map b/build/commonjs/mtcnn/RNet.js.map
deleted file mode 100644
index 1498985c..00000000
--- a/build/commonjs/mtcnn/RNet.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"RNet.js","sourceRoot":"","sources":["../../../src/mtcnn/RNet.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAE5C,qEAAoE;AACpE,iCAAgC;AAChC,+CAA6C;AAG7C,SAAgB,IAAI,CAAC,CAAc,EAAE,MAAkB;IACrD,OAAO,EAAE,CAAC,IAAI,CAAC;QAEb,IAAM,OAAO,GAAG,0BAAW,CAAC,CAAC,EAAE,MAAM,CAAC,CAAA;QACtC,IAAM,UAAU,GAAG,EAAE,CAAC,OAAO,CAAC,OAAO,EAAE,CAAC,OAAO,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE,MAAM,CAAC,GAAG,CAAC,OAAO,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,CAAgB,CAAA;QACtG,IAAM,GAAG,GAAG,yCAAmB,CAAC,UAAU,EAAE,MAAM,CAAC,GAAG,CAAC,CAAA;QACvD,IAAM,MAAM,GAAG,aAAK,CAAc,GAAG,EAAE,MAAM,CAAC,YAAY,CAAC,CAAA;QAC3D,IAAM,KAAK,GAAG,yCAAmB,CAAC,MAAM,EAAE,MAAM,CAAC,KAAK,CAAC,CAAA;QACvD,IAAM,GAAG,GAAG,EAAE,CAAC,UAAU,CAAC,EAAE,CAAC,GAAG,CAAC,KAAK,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAA;QAC9C,IAAM,IAAI,GAAG,EAAE,CAAC,OAAO,CAAC,EAAE,CAAC,GAAG,CAAC,KAAK,EAAE,GAAG,CAAC,EAAE,CAAC,CAAgB,CAAA;QAC7D,IAAM,OAAO,GAAG,yCAAmB,CAAC,MAAM,EAAE,MAAM,CAAC,KAAK,CAAC,CAAA;QAEzD,IAAM,MAAM,GAAG,EAAE,CAAC,OAAO,CAAC,IAAI,EAAE,CAAC,CAAC,CAAC,CAAC,CAAgB,CAAA;QACpD,OAAO,EAAE,MAAM,QAAA,EAAE,OAAO,SAAA,EAAE,CAAA;IAC5B,CAAC,CAAC,CAAA;AACJ,CAAC;AAfD,oBAeC"}
\ No newline at end of file
diff --git a/build/commonjs/mtcnn/bgrToRgbTensor.d.ts b/build/commonjs/mtcnn/bgrToRgbTensor.d.ts
deleted file mode 100644
index 7b544bef..00000000
--- a/build/commonjs/mtcnn/bgrToRgbTensor.d.ts
+++ /dev/null
@@ -1,2 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-export declare function bgrToRgbTensor(tensor: tf.Tensor4D): tf.Tensor4D;
diff --git a/build/commonjs/mtcnn/bgrToRgbTensor.js b/build/commonjs/mtcnn/bgrToRgbTensor.js
deleted file mode 100644
index 262ce6dd..00000000
--- a/build/commonjs/mtcnn/bgrToRgbTensor.js
+++ /dev/null
@@ -1,8 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tf = require("@tensorflow/tfjs-core");
-function bgrToRgbTensor(tensor) {
- return tf.tidy(function () { return tf.stack(tf.unstack(tensor, 3).reverse(), 3); });
-}
-exports.bgrToRgbTensor = bgrToRgbTensor;
-//# sourceMappingURL=bgrToRgbTensor.js.map
\ No newline at end of file
diff --git a/build/commonjs/mtcnn/bgrToRgbTensor.js.map b/build/commonjs/mtcnn/bgrToRgbTensor.js.map
deleted file mode 100644
index 1e912fa3..00000000
--- a/build/commonjs/mtcnn/bgrToRgbTensor.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"bgrToRgbTensor.js","sourceRoot":"","sources":["../../../src/mtcnn/bgrToRgbTensor.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAE5C,SAAgB,cAAc,CAAC,MAAmB;IAChD,OAAO,EAAE,CAAC,IAAI,CACZ,cAAM,OAAA,EAAE,CAAC,KAAK,CAAC,EAAE,CAAC,OAAO,CAAC,MAAM,EAAE,CAAC,CAAC,CAAC,OAAO,EAAE,EAAE,CAAC,CAAC,EAA5C,CAA4C,CACpC,CAAA;AAClB,CAAC;AAJD,wCAIC"}
\ No newline at end of file
diff --git a/build/commonjs/mtcnn/config.d.ts b/build/commonjs/mtcnn/config.d.ts
deleted file mode 100644
index 05a91437..00000000
--- a/build/commonjs/mtcnn/config.d.ts
+++ /dev/null
@@ -1,2 +0,0 @@
-export declare const CELL_STRIDE = 2;
-export declare const CELL_SIZE = 12;
diff --git a/build/commonjs/mtcnn/config.js b/build/commonjs/mtcnn/config.js
deleted file mode 100644
index fa6824e6..00000000
--- a/build/commonjs/mtcnn/config.js
+++ /dev/null
@@ -1,5 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-exports.CELL_STRIDE = 2;
-exports.CELL_SIZE = 12;
-//# sourceMappingURL=config.js.map
\ No newline at end of file
diff --git a/build/commonjs/mtcnn/config.js.map b/build/commonjs/mtcnn/config.js.map
deleted file mode 100644
index bae8cf34..00000000
--- a/build/commonjs/mtcnn/config.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"config.js","sourceRoot":"","sources":["../../../src/mtcnn/config.ts"],"names":[],"mappings":";;AAAa,QAAA,WAAW,GAAG,CAAC,CAAA;AACf,QAAA,SAAS,GAAG,EAAE,CAAA"}
\ No newline at end of file
diff --git a/build/commonjs/mtcnn/extractImagePatches.d.ts b/build/commonjs/mtcnn/extractImagePatches.d.ts
deleted file mode 100644
index 4e43a1b6..00000000
--- a/build/commonjs/mtcnn/extractImagePatches.d.ts
+++ /dev/null
@@ -1,3 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { Box, IDimensions } from 'tfjs-image-recognition-base';
-export declare function extractImagePatches(img: HTMLCanvasElement, boxes: Box[], { width, height }: IDimensions): Promise;
diff --git a/build/commonjs/mtcnn/extractImagePatches.js b/build/commonjs/mtcnn/extractImagePatches.js
deleted file mode 100644
index 67c41444..00000000
--- a/build/commonjs/mtcnn/extractImagePatches.js
+++ /dev/null
@@ -1,55 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-var tf = require("@tensorflow/tfjs-core");
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-var normalize_1 = require("./normalize");
-function extractImagePatches(img, boxes, _a) {
- var width = _a.width, height = _a.height;
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- var imgCtx, bitmaps, imagePatchesDatas;
- var _this = this;
- return tslib_1.__generator(this, function (_b) {
- switch (_b.label) {
- case 0:
- imgCtx = tfjs_image_recognition_base_1.getContext2dOrThrow(img);
- return [4 /*yield*/, Promise.all(boxes.map(function (box) { return tslib_1.__awaiter(_this, void 0, void 0, function () {
- var _a, y, ey, x, ex, fromX, fromY, imgData;
- return tslib_1.__generator(this, function (_b) {
- _a = box.padAtBorders(img.height, img.width), y = _a.y, ey = _a.ey, x = _a.x, ex = _a.ex;
- fromX = x - 1;
- fromY = y - 1;
- imgData = imgCtx.getImageData(fromX, fromY, (ex - fromX), (ey - fromY));
- return [2 /*return*/, tfjs_image_recognition_base_1.env.isNodejs() ? tfjs_image_recognition_base_1.createCanvasFromMedia(imgData) : createImageBitmap(imgData)];
- });
- }); }))];
- case 1:
- bitmaps = _b.sent();
- imagePatchesDatas = [];
- bitmaps.forEach(function (bmp) {
- var patch = tfjs_image_recognition_base_1.createCanvas({ width: width, height: height });
- var patchCtx = tfjs_image_recognition_base_1.getContext2dOrThrow(patch);
- patchCtx.drawImage(bmp, 0, 0, width, height);
- var data = patchCtx.getImageData(0, 0, width, height).data;
- var currData = [];
- // RGBA -> BGR
- for (var i = 0; i < data.length; i += 4) {
- currData.push(data[i + 2]);
- currData.push(data[i + 1]);
- currData.push(data[i]);
- }
- imagePatchesDatas.push(currData);
- });
- return [2 /*return*/, imagePatchesDatas.map(function (data) {
- var t = tf.tidy(function () {
- var imagePatchTensor = tf.transpose(tf.tensor4d(data, [1, width, height, 3]), [0, 2, 1, 3]).toFloat();
- return normalize_1.normalize(imagePatchTensor);
- });
- return t;
- })];
- }
- });
- });
-}
-exports.extractImagePatches = extractImagePatches;
-//# sourceMappingURL=extractImagePatches.js.map
\ No newline at end of file
diff --git a/build/commonjs/mtcnn/extractImagePatches.js.map b/build/commonjs/mtcnn/extractImagePatches.js.map
deleted file mode 100644
index fceefae4..00000000
--- a/build/commonjs/mtcnn/extractImagePatches.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"extractImagePatches.js","sourceRoot":"","sources":["../../../src/mtcnn/extractImagePatches.ts"],"names":[],"mappings":";;;AAAA,0CAA4C;AAC5C,2EAOqC;AAErC,yCAAwC;AAExC,SAAsB,mBAAmB,CACvC,GAAsB,EACtB,KAAY,EACZ,EAA8B;QAA5B,gBAAK,EAAE,kBAAM;;;;;;;oBAIT,MAAM,GAAG,iDAAmB,CAAC,GAAG,CAAC,CAAA;oBAEvB,qBAAM,OAAO,CAAC,GAAG,CAAC,KAAK,CAAC,GAAG,CAAC,UAAM,GAAG;;;gCAE7C,KAAmB,GAAG,CAAC,YAAY,CAAC,GAAG,CAAC,MAAM,EAAE,GAAG,CAAC,KAAK,CAAC,EAAxD,CAAC,OAAA,EAAE,EAAE,QAAA,EAAE,CAAC,OAAA,EAAE,EAAE,QAAA,CAA4C;gCAE1D,KAAK,GAAG,CAAC,GAAG,CAAC,CAAA;gCACb,KAAK,GAAG,CAAC,GAAG,CAAC,CAAA;gCACb,OAAO,GAAG,MAAM,CAAC,YAAY,CAAC,KAAK,EAAE,KAAK,EAAE,CAAC,EAAE,GAAG,KAAK,CAAC,EAAE,CAAC,EAAE,GAAG,KAAK,CAAC,CAAC,CAAA;gCAE7E,sBAAO,iCAAG,CAAC,QAAQ,EAAE,CAAC,CAAC,CAAC,mDAAqB,CAAC,OAAO,CAAC,CAAC,CAAC,CAAC,iBAAiB,CAAC,OAAO,CAAC,EAAA;;6BACpF,CAAC,CAAC,EAAA;;oBATG,OAAO,GAAG,SASb;oBAEG,iBAAiB,GAAe,EAAE,CAAA;oBAExC,OAAO,CAAC,OAAO,CAAC,UAAA,GAAG;wBACjB,IAAM,KAAK,GAAG,0CAAY,CAAC,EAAE,KAAK,OAAA,EAAE,MAAM,QAAA,EAAE,CAAC,CAAA;wBAC7C,IAAM,QAAQ,GAAG,iDAAmB,CAAC,KAAK,CAAC,CAAA;wBAC3C,QAAQ,CAAC,SAAS,CAAC,GAAG,EAAE,CAAC,EAAE,CAAC,EAAE,KAAK,EAAE,MAAM,CAAC,CAAA;wBACpC,IAAA,sDAAI,CAA+C;wBAE3D,IAAM,QAAQ,GAAG,EAAE,CAAA;wBACnB,cAAc;wBACd,KAAI,IAAI,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,IAAI,CAAC,MAAM,EAAE,CAAC,IAAE,CAAC,EAAE;4BACpC,QAAQ,CAAC,IAAI,CAAC,IAAI,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAA;4BAC1B,QAAQ,CAAC,IAAI,CAAC,IAAI,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAA;4BAC1B,QAAQ,CAAC,IAAI,CAAC,IAAI,CAAC,CAAC,CAAC,CAAC,CAAA;yBACvB;wBACD,iBAAiB,CAAC,IAAI,CAAC,QAAQ,CAAC,CAAA;oBAClC,CAAC,CAAC,CAAA;oBAGF,sBAAO,iBAAiB,CAAC,GAAG,CAAC,UAAA,IAAI;4BAC/B,IAAM,CAAC,GAAG,EAAE,CAAC,IAAI,CAAC;gCAChB,IAAM,gBAAgB,GAAG,EAAE,CAAC,SAAS,CACnC,EAAE,CAAC,QAAQ,CAAC,IAAI,EAAE,CAAC,CAAC,EAAE,KAAK,EAAE,MAAM,EAAE,CAAC,CAAC,CAAC,EACxC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CACb,CAAC,OAAO,EAAiB,CAAA;gCAE1B,OAAO,qBAAS,CAAC,gBAAgB,CAAC,CAAA;4BACpC,CAAC,CAAC,CAAA;4BACF,OAAO,CAAC,CAAA;wBACV,CAAC,CAAC,EAAA;;;;CACH;AAlDD,kDAkDC"}
\ No newline at end of file
diff --git a/build/commonjs/mtcnn/extractParams.d.ts b/build/commonjs/mtcnn/extractParams.d.ts
deleted file mode 100644
index 14d45d2b..00000000
--- a/build/commonjs/mtcnn/extractParams.d.ts
+++ /dev/null
@@ -1,6 +0,0 @@
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-import { NetParams } from './types';
-export declare function extractParams(weights: Float32Array): {
- params: NetParams;
- paramMappings: TfjsImageRecognitionBase.ParamMapping[];
-};
diff --git a/build/commonjs/mtcnn/extractParams.js b/build/commonjs/mtcnn/extractParams.js
deleted file mode 100644
index 55b51a41..00000000
--- a/build/commonjs/mtcnn/extractParams.js
+++ /dev/null
@@ -1,68 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-var tf = require("@tensorflow/tfjs-core");
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-function extractorsFactory(extractWeights, paramMappings) {
- var extractConvParams = tfjs_image_recognition_base_1.TfjsImageRecognitionBase.extractConvParamsFactory(extractWeights, paramMappings);
- var extractFCParams = tfjs_image_recognition_base_1.TfjsImageRecognitionBase.extractFCParamsFactory(extractWeights, paramMappings);
- function extractPReluParams(size, paramPath) {
- var alpha = tf.tensor1d(extractWeights(size));
- paramMappings.push({ paramPath: paramPath });
- return alpha;
- }
- function extractSharedParams(numFilters, mappedPrefix, isRnet) {
- if (isRnet === void 0) { isRnet = false; }
- var conv1 = extractConvParams(numFilters[0], numFilters[1], 3, mappedPrefix + "/conv1");
- var prelu1_alpha = extractPReluParams(numFilters[1], mappedPrefix + "/prelu1_alpha");
- var conv2 = extractConvParams(numFilters[1], numFilters[2], 3, mappedPrefix + "/conv2");
- var prelu2_alpha = extractPReluParams(numFilters[2], mappedPrefix + "/prelu2_alpha");
- var conv3 = extractConvParams(numFilters[2], numFilters[3], isRnet ? 2 : 3, mappedPrefix + "/conv3");
- var prelu3_alpha = extractPReluParams(numFilters[3], mappedPrefix + "/prelu3_alpha");
- return { conv1: conv1, prelu1_alpha: prelu1_alpha, conv2: conv2, prelu2_alpha: prelu2_alpha, conv3: conv3, prelu3_alpha: prelu3_alpha };
- }
- function extractPNetParams() {
- var sharedParams = extractSharedParams([3, 10, 16, 32], 'pnet');
- var conv4_1 = extractConvParams(32, 2, 1, 'pnet/conv4_1');
- var conv4_2 = extractConvParams(32, 4, 1, 'pnet/conv4_2');
- return tslib_1.__assign({}, sharedParams, { conv4_1: conv4_1, conv4_2: conv4_2 });
- }
- function extractRNetParams() {
- var sharedParams = extractSharedParams([3, 28, 48, 64], 'rnet', true);
- var fc1 = extractFCParams(576, 128, 'rnet/fc1');
- var prelu4_alpha = extractPReluParams(128, 'rnet/prelu4_alpha');
- var fc2_1 = extractFCParams(128, 2, 'rnet/fc2_1');
- var fc2_2 = extractFCParams(128, 4, 'rnet/fc2_2');
- return tslib_1.__assign({}, sharedParams, { fc1: fc1, prelu4_alpha: prelu4_alpha, fc2_1: fc2_1, fc2_2: fc2_2 });
- }
- function extractONetParams() {
- var sharedParams = extractSharedParams([3, 32, 64, 64], 'onet');
- var conv4 = extractConvParams(64, 128, 2, 'onet/conv4');
- var prelu4_alpha = extractPReluParams(128, 'onet/prelu4_alpha');
- var fc1 = extractFCParams(1152, 256, 'onet/fc1');
- var prelu5_alpha = extractPReluParams(256, 'onet/prelu5_alpha');
- var fc2_1 = extractFCParams(256, 2, 'onet/fc2_1');
- var fc2_2 = extractFCParams(256, 4, 'onet/fc2_2');
- var fc2_3 = extractFCParams(256, 10, 'onet/fc2_3');
- return tslib_1.__assign({}, sharedParams, { conv4: conv4, prelu4_alpha: prelu4_alpha, fc1: fc1, prelu5_alpha: prelu5_alpha, fc2_1: fc2_1, fc2_2: fc2_2, fc2_3: fc2_3 });
- }
- return {
- extractPNetParams: extractPNetParams,
- extractRNetParams: extractRNetParams,
- extractONetParams: extractONetParams
- };
-}
-function extractParams(weights) {
- var _a = tfjs_image_recognition_base_1.TfjsImageRecognitionBase.extractWeightsFactory(weights), extractWeights = _a.extractWeights, getRemainingWeights = _a.getRemainingWeights;
- var paramMappings = [];
- var _b = extractorsFactory(extractWeights, paramMappings), extractPNetParams = _b.extractPNetParams, extractRNetParams = _b.extractRNetParams, extractONetParams = _b.extractONetParams;
- var pnet = extractPNetParams();
- var rnet = extractRNetParams();
- var onet = extractONetParams();
- if (getRemainingWeights().length !== 0) {
- throw new Error("weights remaing after extract: " + getRemainingWeights().length);
- }
- return { params: { pnet: pnet, rnet: rnet, onet: onet }, paramMappings: paramMappings };
-}
-exports.extractParams = extractParams;
-//# sourceMappingURL=extractParams.js.map
\ No newline at end of file
diff --git a/build/commonjs/mtcnn/extractParams.js.map b/build/commonjs/mtcnn/extractParams.js.map
deleted file mode 100644
index abed7e30..00000000
--- a/build/commonjs/mtcnn/extractParams.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"extractParams.js","sourceRoot":"","sources":["../../../src/mtcnn/extractParams.ts"],"names":[],"mappings":";;;AAAA,0CAA4C;AAC5C,2EAAuE;AAIvE,SAAS,iBAAiB,CAAC,cAA+D,EAAE,aAAsD;IAEhJ,IAAM,iBAAiB,GAAG,sDAAwB,CAAC,wBAAwB,CAAC,cAAc,EAAE,aAAa,CAAC,CAAA;IAC1G,IAAM,eAAe,GAAG,sDAAwB,CAAC,sBAAsB,CAAC,cAAc,EAAE,aAAa,CAAC,CAAA;IAEtG,SAAS,kBAAkB,CAAC,IAAY,EAAE,SAAiB;QACzD,IAAM,KAAK,GAAG,EAAE,CAAC,QAAQ,CAAC,cAAc,CAAC,IAAI,CAAC,CAAC,CAAA;QAC/C,aAAa,CAAC,IAAI,CAAC,EAAE,SAAS,WAAA,EAAE,CAAC,CAAA;QACjC,OAAO,KAAK,CAAA;IACd,CAAC;IAED,SAAS,mBAAmB,CAAC,UAAoB,EAAE,YAAoB,EAAE,MAAuB;QAAvB,uBAAA,EAAA,cAAuB;QAE9F,IAAM,KAAK,GAAG,iBAAiB,CAAC,UAAU,CAAC,CAAC,CAAC,EAAE,UAAU,CAAC,CAAC,CAAC,EAAE,CAAC,EAAK,YAAY,WAAQ,CAAC,CAAA;QACzF,IAAM,YAAY,GAAG,kBAAkB,CAAC,UAAU,CAAC,CAAC,CAAC,EAAK,YAAY,kBAAe,CAAC,CAAA;QACtF,IAAM,KAAK,GAAG,iBAAiB,CAAC,UAAU,CAAC,CAAC,CAAC,EAAE,UAAU,CAAC,CAAC,CAAC,EAAE,CAAC,EAAK,YAAY,WAAQ,CAAC,CAAA;QACzF,IAAM,YAAY,GAAG,kBAAkB,CAAC,UAAU,CAAC,CAAC,CAAC,EAAK,YAAY,kBAAe,CAAC,CAAA;QACtF,IAAM,KAAK,GAAG,iBAAiB,CAAC,UAAU,CAAC,CAAC,CAAC,EAAE,UAAU,CAAC,CAAC,CAAC,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAK,YAAY,WAAQ,CAAC,CAAA;QACtG,IAAM,YAAY,GAAG,kBAAkB,CAAC,UAAU,CAAC,CAAC,CAAC,EAAK,YAAY,kBAAe,CAAC,CAAA;QAEtF,OAAO,EAAE,KAAK,OAAA,EAAE,YAAY,cAAA,EAAE,KAAK,OAAA,EAAE,YAAY,cAAA,EAAE,KAAK,OAAA,EAAE,YAAY,cAAA,EAAE,CAAA;IAC1E,CAAC;IAED,SAAS,iBAAiB;QAExB,IAAM,YAAY,GAAG,mBAAmB,CAAC,CAAC,CAAC,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,CAAC,EAAE,MAAM,CAAC,CAAA;QACjE,IAAM,OAAO,GAAG,iBAAiB,CAAC,EAAE,EAAE,CAAC,EAAE,CAAC,EAAE,cAAc,CAAC,CAAA;QAC3D,IAAM,OAAO,GAAG,iBAAiB,CAAC,EAAE,EAAE,CAAC,EAAE,CAAC,EAAE,cAAc,CAAC,CAAA;QAE3D,4BAAY,YAAY,IAAE,OAAO,SAAA,EAAE,OAAO,SAAA,IAAE;IAC9C,CAAC;IAED,SAAS,iBAAiB;QAExB,IAAM,YAAY,GAAG,mBAAmB,CAAC,CAAC,CAAC,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,CAAC,EAAE,MAAM,EAAE,IAAI,CAAC,CAAA;QACvE,IAAM,GAAG,GAAG,eAAe,CAAC,GAAG,EAAE,GAAG,EAAE,UAAU,CAAC,CAAA;QACjD,IAAM,YAAY,GAAG,kBAAkB,CAAC,GAAG,EAAE,mBAAmB,CAAC,CAAA;QACjE,IAAM,KAAK,GAAG,eAAe,CAAC,GAAG,EAAE,CAAC,EAAE,YAAY,CAAC,CAAA;QACnD,IAAM,KAAK,GAAG,eAAe,CAAC,GAAG,EAAE,CAAC,EAAE,YAAY,CAAC,CAAA;QAEnD,4BAAY,YAAY,IAAE,GAAG,KAAA,EAAE,YAAY,cAAA,EAAE,KAAK,OAAA,EAAE,KAAK,OAAA,IAAE;IAC7D,CAAC;IAED,SAAS,iBAAiB;QAExB,IAAM,YAAY,GAAG,mBAAmB,CAAC,CAAC,CAAC,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,CAAC,EAAE,MAAM,CAAC,CAAA;QACjE,IAAM,KAAK,GAAG,iBAAiB,CAAC,EAAE,EAAE,GAAG,EAAE,CAAC,EAAE,YAAY,CAAC,CAAA;QACzD,IAAM,YAAY,GAAG,kBAAkB,CAAC,GAAG,EAAE,mBAAmB,CAAC,CAAA;QACjE,IAAM,GAAG,GAAG,eAAe,CAAC,IAAI,EAAE,GAAG,EAAE,UAAU,CAAC,CAAA;QAClD,IAAM,YAAY,GAAG,kBAAkB,CAAC,GAAG,EAAE,mBAAmB,CAAC,CAAA;QACjE,IAAM,KAAK,GAAG,eAAe,CAAC,GAAG,EAAE,CAAC,EAAE,YAAY,CAAC,CAAA;QACnD,IAAM,KAAK,GAAG,eAAe,CAAC,GAAG,EAAE,CAAC,EAAE,YAAY,CAAC,CAAA;QACnD,IAAM,KAAK,GAAG,eAAe,CAAC,GAAG,EAAE,EAAE,EAAE,YAAY,CAAC,CAAA;QAEpD,4BAAY,YAAY,IAAE,KAAK,OAAA,EAAE,YAAY,cAAA,EAAE,GAAG,KAAA,EAAE,YAAY,cAAA,EAAE,KAAK,OAAA,EAAE,KAAK,OAAA,EAAE,KAAK,OAAA,IAAE;IACzF,CAAC;IAED,OAAO;QACL,iBAAiB,mBAAA;QACjB,iBAAiB,mBAAA;QACjB,iBAAiB,mBAAA;KAClB,CAAA;AAEH,CAAC;AAED,SAAgB,aAAa,CAAC,OAAqB;IAE3C,IAAA,0FAGqD,EAFzD,kCAAc,EACd,4CACyD,CAAA;IAE3D,IAAM,aAAa,GAA4C,EAAE,CAAA;IAE3D,IAAA,qDAI8C,EAHlD,wCAAiB,EACjB,wCAAiB,EACjB,wCACkD,CAAA;IAEpD,IAAM,IAAI,GAAG,iBAAiB,EAAE,CAAA;IAChC,IAAM,IAAI,GAAG,iBAAiB,EAAE,CAAA;IAChC,IAAM,IAAI,GAAG,iBAAiB,EAAE,CAAA;IAEhC,IAAI,mBAAmB,EAAE,CAAC,MAAM,KAAK,CAAC,EAAE;QACtC,MAAM,IAAI,KAAK,CAAC,oCAAkC,mBAAmB,EAAE,CAAC,MAAQ,CAAC,CAAA;KAClF;IAED,OAAO,EAAE,MAAM,EAAE,EAAE,IAAI,MAAA,EAAE,IAAI,MAAA,EAAE,IAAI,MAAA,EAAE,EAAE,aAAa,eAAA,EAAE,CAAA;AACxD,CAAC;AAxBD,sCAwBC"}
\ No newline at end of file
diff --git a/build/commonjs/mtcnn/extractParamsFromWeigthMap.d.ts b/build/commonjs/mtcnn/extractParamsFromWeigthMap.d.ts
deleted file mode 100644
index 7bf5a66d..00000000
--- a/build/commonjs/mtcnn/extractParamsFromWeigthMap.d.ts
+++ /dev/null
@@ -1,7 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-import { NetParams } from './types';
-export declare function extractParamsFromWeigthMap(weightMap: tf.NamedTensorMap): {
- params: NetParams;
- paramMappings: TfjsImageRecognitionBase.ParamMapping[];
-};
diff --git a/build/commonjs/mtcnn/extractParamsFromWeigthMap.js b/build/commonjs/mtcnn/extractParamsFromWeigthMap.js
deleted file mode 100644
index d8814f74..00000000
--- a/build/commonjs/mtcnn/extractParamsFromWeigthMap.js
+++ /dev/null
@@ -1,70 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-function extractorsFactory(weightMap, paramMappings) {
- var extractWeightEntry = tfjs_image_recognition_base_1.TfjsImageRecognitionBase.extractWeightEntryFactory(weightMap, paramMappings);
- function extractConvParams(prefix) {
- var filters = extractWeightEntry(prefix + "/weights", 4, prefix + "/filters");
- var bias = extractWeightEntry(prefix + "/bias", 1);
- return { filters: filters, bias: bias };
- }
- function extractFCParams(prefix) {
- var weights = extractWeightEntry(prefix + "/weights", 2);
- var bias = extractWeightEntry(prefix + "/bias", 1);
- return { weights: weights, bias: bias };
- }
- function extractPReluParams(paramPath) {
- return extractWeightEntry(paramPath, 1);
- }
- function extractSharedParams(prefix) {
- var conv1 = extractConvParams(prefix + "/conv1");
- var prelu1_alpha = extractPReluParams(prefix + "/prelu1_alpha");
- var conv2 = extractConvParams(prefix + "/conv2");
- var prelu2_alpha = extractPReluParams(prefix + "/prelu2_alpha");
- var conv3 = extractConvParams(prefix + "/conv3");
- var prelu3_alpha = extractPReluParams(prefix + "/prelu3_alpha");
- return { conv1: conv1, prelu1_alpha: prelu1_alpha, conv2: conv2, prelu2_alpha: prelu2_alpha, conv3: conv3, prelu3_alpha: prelu3_alpha };
- }
- function extractPNetParams() {
- var sharedParams = extractSharedParams('pnet');
- var conv4_1 = extractConvParams('pnet/conv4_1');
- var conv4_2 = extractConvParams('pnet/conv4_2');
- return tslib_1.__assign({}, sharedParams, { conv4_1: conv4_1, conv4_2: conv4_2 });
- }
- function extractRNetParams() {
- var sharedParams = extractSharedParams('rnet');
- var fc1 = extractFCParams('rnet/fc1');
- var prelu4_alpha = extractPReluParams('rnet/prelu4_alpha');
- var fc2_1 = extractFCParams('rnet/fc2_1');
- var fc2_2 = extractFCParams('rnet/fc2_2');
- return tslib_1.__assign({}, sharedParams, { fc1: fc1, prelu4_alpha: prelu4_alpha, fc2_1: fc2_1, fc2_2: fc2_2 });
- }
- function extractONetParams() {
- var sharedParams = extractSharedParams('onet');
- var conv4 = extractConvParams('onet/conv4');
- var prelu4_alpha = extractPReluParams('onet/prelu4_alpha');
- var fc1 = extractFCParams('onet/fc1');
- var prelu5_alpha = extractPReluParams('onet/prelu5_alpha');
- var fc2_1 = extractFCParams('onet/fc2_1');
- var fc2_2 = extractFCParams('onet/fc2_2');
- var fc2_3 = extractFCParams('onet/fc2_3');
- return tslib_1.__assign({}, sharedParams, { conv4: conv4, prelu4_alpha: prelu4_alpha, fc1: fc1, prelu5_alpha: prelu5_alpha, fc2_1: fc2_1, fc2_2: fc2_2, fc2_3: fc2_3 });
- }
- return {
- extractPNetParams: extractPNetParams,
- extractRNetParams: extractRNetParams,
- extractONetParams: extractONetParams
- };
-}
-function extractParamsFromWeigthMap(weightMap) {
- var paramMappings = [];
- var _a = extractorsFactory(weightMap, paramMappings), extractPNetParams = _a.extractPNetParams, extractRNetParams = _a.extractRNetParams, extractONetParams = _a.extractONetParams;
- var pnet = extractPNetParams();
- var rnet = extractRNetParams();
- var onet = extractONetParams();
- tfjs_image_recognition_base_1.TfjsImageRecognitionBase.disposeUnusedWeightTensors(weightMap, paramMappings);
- return { params: { pnet: pnet, rnet: rnet, onet: onet }, paramMappings: paramMappings };
-}
-exports.extractParamsFromWeigthMap = extractParamsFromWeigthMap;
-//# sourceMappingURL=extractParamsFromWeigthMap.js.map
\ No newline at end of file
diff --git a/build/commonjs/mtcnn/extractParamsFromWeigthMap.js.map b/build/commonjs/mtcnn/extractParamsFromWeigthMap.js.map
deleted file mode 100644
index b2f27068..00000000
--- a/build/commonjs/mtcnn/extractParamsFromWeigthMap.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"extractParamsFromWeigthMap.js","sourceRoot":"","sources":["../../../src/mtcnn/extractParamsFromWeigthMap.ts"],"names":[],"mappings":";;;AACA,2EAAuE;AAIvE,SAAS,iBAAiB,CAAC,SAAc,EAAE,aAAsD;IAE/F,IAAM,kBAAkB,GAAG,sDAAwB,CAAC,yBAAyB,CAAC,SAAS,EAAE,aAAa,CAAC,CAAA;IAEvG,SAAS,iBAAiB,CAAC,MAAc;QACvC,IAAM,OAAO,GAAG,kBAAkB,CAAiB,MAAM,aAAU,EAAE,CAAC,EAAK,MAAM,aAAU,CAAC,CAAA;QAC5F,IAAM,IAAI,GAAG,kBAAkB,CAAiB,MAAM,UAAO,EAAE,CAAC,CAAC,CAAA;QAEjE,OAAO,EAAE,OAAO,SAAA,EAAE,IAAI,MAAA,EAAE,CAAA;IAC1B,CAAC;IAED,SAAS,eAAe,CAAC,MAAc;QACrC,IAAM,OAAO,GAAG,kBAAkB,CAAiB,MAAM,aAAU,EAAE,CAAC,CAAC,CAAA;QACvE,IAAM,IAAI,GAAG,kBAAkB,CAAiB,MAAM,UAAO,EAAE,CAAC,CAAC,CAAA;QAEjE,OAAO,EAAE,OAAO,SAAA,EAAE,IAAI,MAAA,EAAE,CAAA;IAC1B,CAAC;IAED,SAAS,kBAAkB,CAAC,SAAiB;QAC3C,OAAO,kBAAkB,CAAc,SAAS,EAAE,CAAC,CAAC,CAAA;IACtD,CAAC;IAED,SAAS,mBAAmB,CAAC,MAAc;QAEzC,IAAM,KAAK,GAAG,iBAAiB,CAAI,MAAM,WAAQ,CAAC,CAAA;QAClD,IAAM,YAAY,GAAG,kBAAkB,CAAI,MAAM,kBAAe,CAAC,CAAA;QACjE,IAAM,KAAK,GAAG,iBAAiB,CAAI,MAAM,WAAQ,CAAC,CAAA;QAClD,IAAM,YAAY,GAAG,kBAAkB,CAAI,MAAM,kBAAe,CAAC,CAAA;QACjE,IAAM,KAAK,GAAG,iBAAiB,CAAI,MAAM,WAAQ,CAAC,CAAA;QAClD,IAAM,YAAY,GAAG,kBAAkB,CAAI,MAAM,kBAAe,CAAC,CAAA;QAEjE,OAAO,EAAE,KAAK,OAAA,EAAE,YAAY,cAAA,EAAE,KAAK,OAAA,EAAE,YAAY,cAAA,EAAE,KAAK,OAAA,EAAE,YAAY,cAAA,EAAE,CAAA;IAC1E,CAAC;IAED,SAAS,iBAAiB;QAExB,IAAM,YAAY,GAAG,mBAAmB,CAAC,MAAM,CAAC,CAAA;QAChD,IAAM,OAAO,GAAG,iBAAiB,CAAC,cAAc,CAAC,CAAA;QACjD,IAAM,OAAO,GAAG,iBAAiB,CAAC,cAAc,CAAC,CAAA;QAEjD,4BAAY,YAAY,IAAE,OAAO,SAAA,EAAE,OAAO,SAAA,IAAE;IAC9C,CAAC;IAED,SAAS,iBAAiB;QAExB,IAAM,YAAY,GAAG,mBAAmB,CAAC,MAAM,CAAC,CAAA;QAChD,IAAM,GAAG,GAAG,eAAe,CAAC,UAAU,CAAC,CAAA;QACvC,IAAM,YAAY,GAAG,kBAAkB,CAAC,mBAAmB,CAAC,CAAA;QAC5D,IAAM,KAAK,GAAG,eAAe,CAAC,YAAY,CAAC,CAAA;QAC3C,IAAM,KAAK,GAAG,eAAe,CAAC,YAAY,CAAC,CAAA;QAE3C,4BAAY,YAAY,IAAE,GAAG,KAAA,EAAE,YAAY,cAAA,EAAE,KAAK,OAAA,EAAE,KAAK,OAAA,IAAE;IAC7D,CAAC;IAED,SAAS,iBAAiB;QAExB,IAAM,YAAY,GAAG,mBAAmB,CAAC,MAAM,CAAC,CAAA;QAChD,IAAM,KAAK,GAAG,iBAAiB,CAAC,YAAY,CAAC,CAAA;QAC7C,IAAM,YAAY,GAAG,kBAAkB,CAAC,mBAAmB,CAAC,CAAA;QAC5D,IAAM,GAAG,GAAG,eAAe,CAAC,UAAU,CAAC,CAAA;QACvC,IAAM,YAAY,GAAG,kBAAkB,CAAC,mBAAmB,CAAC,CAAA;QAC5D,IAAM,KAAK,GAAG,eAAe,CAAC,YAAY,CAAC,CAAA;QAC3C,IAAM,KAAK,GAAG,eAAe,CAAC,YAAY,CAAC,CAAA;QAC3C,IAAM,KAAK,GAAG,eAAe,CAAC,YAAY,CAAC,CAAA;QAE3C,4BAAY,YAAY,IAAE,KAAK,OAAA,EAAE,YAAY,cAAA,EAAE,GAAG,KAAA,EAAE,YAAY,cAAA,EAAE,KAAK,OAAA,EAAE,KAAK,OAAA,EAAE,KAAK,OAAA,IAAE;IACzF,CAAC;IAED,OAAO;QACL,iBAAiB,mBAAA;QACjB,iBAAiB,mBAAA;QACjB,iBAAiB,mBAAA;KAClB,CAAA;AAEH,CAAC;AAED,SAAgB,0BAA0B,CACxC,SAA4B;IAG5B,IAAM,aAAa,GAA4C,EAAE,CAAA;IAE3D,IAAA,gDAIyC,EAH7C,wCAAiB,EACjB,wCAAiB,EACjB,wCAC6C,CAAA;IAE/C,IAAM,IAAI,GAAG,iBAAiB,EAAE,CAAA;IAChC,IAAM,IAAI,GAAG,iBAAiB,EAAE,CAAA;IAChC,IAAM,IAAI,GAAG,iBAAiB,EAAE,CAAA;IAEhC,sDAAwB,CAAC,0BAA0B,CAAC,SAAS,EAAE,aAAa,CAAC,CAAA;IAE7E,OAAO,EAAE,MAAM,EAAE,EAAE,IAAI,MAAA,EAAE,IAAI,MAAA,EAAE,IAAI,MAAA,EAAE,EAAE,aAAa,eAAA,EAAE,CAAA;AACxD,CAAC;AAnBD,gEAmBC"}
\ No newline at end of file
diff --git a/build/commonjs/mtcnn/getSizesForScale.d.ts b/build/commonjs/mtcnn/getSizesForScale.d.ts
deleted file mode 100644
index 4ab739a5..00000000
--- a/build/commonjs/mtcnn/getSizesForScale.d.ts
+++ /dev/null
@@ -1,4 +0,0 @@
-export declare function getSizesForScale(scale: number, [height, width]: number[]): {
- height: number;
- width: number;
-};
diff --git a/build/commonjs/mtcnn/getSizesForScale.js b/build/commonjs/mtcnn/getSizesForScale.js
deleted file mode 100644
index b2cd4cee..00000000
--- a/build/commonjs/mtcnn/getSizesForScale.js
+++ /dev/null
@@ -1,11 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-function getSizesForScale(scale, _a) {
- var height = _a[0], width = _a[1];
- return {
- height: Math.floor(height * scale),
- width: Math.floor(width * scale)
- };
-}
-exports.getSizesForScale = getSizesForScale;
-//# sourceMappingURL=getSizesForScale.js.map
\ No newline at end of file
diff --git a/build/commonjs/mtcnn/getSizesForScale.js.map b/build/commonjs/mtcnn/getSizesForScale.js.map
deleted file mode 100644
index dd806853..00000000
--- a/build/commonjs/mtcnn/getSizesForScale.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"getSizesForScale.js","sourceRoot":"","sources":["../../../src/mtcnn/getSizesForScale.ts"],"names":[],"mappings":";;AAAA,SAAgB,gBAAgB,CAAC,KAAa,EAAE,EAAyB;QAAxB,cAAM,EAAE,aAAK;IAC5D,OAAO;QACL,MAAM,EAAE,IAAI,CAAC,KAAK,CAAC,MAAM,GAAG,KAAK,CAAC;QAClC,KAAK,EAAE,IAAI,CAAC,KAAK,CAAC,KAAK,GAAG,KAAK,CAAC;KACjC,CAAA;AACH,CAAC;AALD,4CAKC"}
\ No newline at end of file
diff --git a/build/commonjs/mtcnn/index.d.ts b/build/commonjs/mtcnn/index.d.ts
deleted file mode 100644
index 8e8e10ee..00000000
--- a/build/commonjs/mtcnn/index.d.ts
+++ /dev/null
@@ -1,4 +0,0 @@
-import { Mtcnn } from './Mtcnn';
-export * from './Mtcnn';
-export * from './MtcnnOptions';
-export declare function createMtcnn(weights: Float32Array): Mtcnn;
diff --git a/build/commonjs/mtcnn/index.js b/build/commonjs/mtcnn/index.js
deleted file mode 100644
index 6e03c6a2..00000000
--- a/build/commonjs/mtcnn/index.js
+++ /dev/null
@@ -1,13 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-var Mtcnn_1 = require("./Mtcnn");
-tslib_1.__exportStar(require("./Mtcnn"), exports);
-tslib_1.__exportStar(require("./MtcnnOptions"), exports);
-function createMtcnn(weights) {
- var net = new Mtcnn_1.Mtcnn();
- net.extractWeights(weights);
- return net;
-}
-exports.createMtcnn = createMtcnn;
-//# sourceMappingURL=index.js.map
\ No newline at end of file
diff --git a/build/commonjs/mtcnn/index.js.map b/build/commonjs/mtcnn/index.js.map
deleted file mode 100644
index f100b37d..00000000
--- a/build/commonjs/mtcnn/index.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"index.js","sourceRoot":"","sources":["../../../src/mtcnn/index.ts"],"names":[],"mappings":";;;AAAA,iCAAgC;AAEhC,kDAAwB;AACxB,yDAA+B;AAE/B,SAAgB,WAAW,CAAC,OAAqB;IAC/C,IAAM,GAAG,GAAG,IAAI,aAAK,EAAE,CAAA;IACvB,GAAG,CAAC,cAAc,CAAC,OAAO,CAAC,CAAA;IAC3B,OAAO,GAAG,CAAA;AACZ,CAAC;AAJD,kCAIC"}
\ No newline at end of file
diff --git a/build/commonjs/mtcnn/normalize.d.ts b/build/commonjs/mtcnn/normalize.d.ts
deleted file mode 100644
index 1a14045d..00000000
--- a/build/commonjs/mtcnn/normalize.d.ts
+++ /dev/null
@@ -1,2 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-export declare function normalize(x: tf.Tensor4D): tf.Tensor4D;
diff --git a/build/commonjs/mtcnn/normalize.js b/build/commonjs/mtcnn/normalize.js
deleted file mode 100644
index e0cff3f7..00000000
--- a/build/commonjs/mtcnn/normalize.js
+++ /dev/null
@@ -1,8 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tf = require("@tensorflow/tfjs-core");
-function normalize(x) {
- return tf.tidy(function () { return tf.mul(tf.sub(x, tf.scalar(127.5)), tf.scalar(0.0078125)); });
-}
-exports.normalize = normalize;
-//# sourceMappingURL=normalize.js.map
\ No newline at end of file
diff --git a/build/commonjs/mtcnn/normalize.js.map b/build/commonjs/mtcnn/normalize.js.map
deleted file mode 100644
index a15cd672..00000000
--- a/build/commonjs/mtcnn/normalize.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"normalize.js","sourceRoot":"","sources":["../../../src/mtcnn/normalize.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAE5C,SAAgB,SAAS,CAAC,CAAc;IACtC,OAAO,EAAE,CAAC,IAAI,CACZ,cAAM,OAAA,EAAE,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,CAAC,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,KAAK,CAAC,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,SAAS,CAAC,CAAC,EAAzD,CAAyD,CAChE,CAAA;AACH,CAAC;AAJD,8BAIC"}
\ No newline at end of file
diff --git a/build/commonjs/mtcnn/prelu.d.ts b/build/commonjs/mtcnn/prelu.d.ts
deleted file mode 100644
index 3019168f..00000000
--- a/build/commonjs/mtcnn/prelu.d.ts
+++ /dev/null
@@ -1,2 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-export declare function prelu(x: T, alpha: tf.Tensor1D): T;
diff --git a/build/commonjs/mtcnn/prelu.js b/build/commonjs/mtcnn/prelu.js
deleted file mode 100644
index c6c2e457..00000000
--- a/build/commonjs/mtcnn/prelu.js
+++ /dev/null
@@ -1,10 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tf = require("@tensorflow/tfjs-core");
-function prelu(x, alpha) {
- return tf.tidy(function () {
- return tf.add(tf.relu(x), tf.mul(alpha, tf.neg(tf.relu(tf.neg(x)))));
- });
-}
-exports.prelu = prelu;
-//# sourceMappingURL=prelu.js.map
\ No newline at end of file
diff --git a/build/commonjs/mtcnn/prelu.js.map b/build/commonjs/mtcnn/prelu.js.map
deleted file mode 100644
index 6012b53e..00000000
--- a/build/commonjs/mtcnn/prelu.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"prelu.js","sourceRoot":"","sources":["../../../src/mtcnn/prelu.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAE5C,SAAgB,KAAK,CAAsB,CAAI,EAAE,KAAkB;IACjE,OAAO,EAAE,CAAC,IAAI,CAAC;QACb,OAAA,EAAE,CAAC,GAAG,CACJ,EAAE,CAAC,IAAI,CAAC,CAAC,CAAC,EACV,EAAE,CAAC,GAAG,CAAC,KAAK,EAAE,EAAE,CAAC,GAAG,CAAC,EAAE,CAAC,IAAI,CAAC,EAAE,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAC1C;IAHD,CAGC,CACF,CAAA;AACH,CAAC;AAPD,sBAOC"}
\ No newline at end of file
diff --git a/build/commonjs/mtcnn/pyramidDown.d.ts b/build/commonjs/mtcnn/pyramidDown.d.ts
deleted file mode 100644
index 58073049..00000000
--- a/build/commonjs/mtcnn/pyramidDown.d.ts
+++ /dev/null
@@ -1 +0,0 @@
-export declare function pyramidDown(minFaceSize: number, scaleFactor: number, dims: number[]): number[];
diff --git a/build/commonjs/mtcnn/pyramidDown.js b/build/commonjs/mtcnn/pyramidDown.js
deleted file mode 100644
index 44ab651a..00000000
--- a/build/commonjs/mtcnn/pyramidDown.js
+++ /dev/null
@@ -1,18 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var config_1 = require("./config");
-function pyramidDown(minFaceSize, scaleFactor, dims) {
- var height = dims[0], width = dims[1];
- var m = config_1.CELL_SIZE / minFaceSize;
- var scales = [];
- var minLayer = Math.min(height, width) * m;
- var exp = 0;
- while (minLayer >= 12) {
- scales.push(m * Math.pow(scaleFactor, exp));
- minLayer = minLayer * scaleFactor;
- exp += 1;
- }
- return scales;
-}
-exports.pyramidDown = pyramidDown;
-//# sourceMappingURL=pyramidDown.js.map
\ No newline at end of file
diff --git a/build/commonjs/mtcnn/pyramidDown.js.map b/build/commonjs/mtcnn/pyramidDown.js.map
deleted file mode 100644
index 0712d3e3..00000000
--- a/build/commonjs/mtcnn/pyramidDown.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"pyramidDown.js","sourceRoot":"","sources":["../../../src/mtcnn/pyramidDown.ts"],"names":[],"mappings":";;AAAA,mCAAqC;AAErC,SAAgB,WAAW,CAAC,WAAmB,EAAE,WAAmB,EAAE,IAAc;IAE3E,IAAA,gBAAM,EAAE,eAAK,CAAQ;IAC5B,IAAM,CAAC,GAAG,kBAAS,GAAG,WAAW,CAAA;IAEjC,IAAM,MAAM,GAAG,EAAE,CAAA;IAEjB,IAAI,QAAQ,GAAG,IAAI,CAAC,GAAG,CAAC,MAAM,EAAE,KAAK,CAAC,GAAG,CAAC,CAAA;IAC1C,IAAI,GAAG,GAAG,CAAC,CAAA;IACX,OAAO,QAAQ,IAAI,EAAE,EAAE;QACrB,MAAM,CAAC,IAAI,CAAC,CAAC,GAAG,IAAI,CAAC,GAAG,CAAC,WAAW,EAAE,GAAG,CAAC,CAAC,CAAA;QAC3C,QAAQ,GAAG,QAAQ,GAAG,WAAW,CAAA;QACjC,GAAG,IAAI,CAAC,CAAA;KACT;IAED,OAAO,MAAM,CAAA;AACf,CAAC;AAhBD,kCAgBC"}
\ No newline at end of file
diff --git a/build/commonjs/mtcnn/sharedLayers.d.ts b/build/commonjs/mtcnn/sharedLayers.d.ts
deleted file mode 100644
index afc63db2..00000000
--- a/build/commonjs/mtcnn/sharedLayers.d.ts
+++ /dev/null
@@ -1,3 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { SharedParams } from './types';
-export declare function sharedLayer(x: tf.Tensor4D, params: SharedParams, isPnet?: boolean): tf.Tensor;
diff --git a/build/commonjs/mtcnn/sharedLayers.js b/build/commonjs/mtcnn/sharedLayers.js
deleted file mode 100644
index 1f337a7e..00000000
--- a/build/commonjs/mtcnn/sharedLayers.js
+++ /dev/null
@@ -1,21 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tf = require("@tensorflow/tfjs-core");
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-var prelu_1 = require("./prelu");
-function sharedLayer(x, params, isPnet) {
- if (isPnet === void 0) { isPnet = false; }
- return tf.tidy(function () {
- var out = tfjs_image_recognition_base_1.TfjsImageRecognitionBase.convLayer(x, params.conv1, 'valid');
- out = prelu_1.prelu(out, params.prelu1_alpha);
- out = tf.maxPool(out, isPnet ? [2, 2] : [3, 3], [2, 2], 'same');
- out = tfjs_image_recognition_base_1.TfjsImageRecognitionBase.convLayer(out, params.conv2, 'valid');
- out = prelu_1.prelu(out, params.prelu2_alpha);
- out = isPnet ? out : tf.maxPool(out, [3, 3], [2, 2], 'valid');
- out = tfjs_image_recognition_base_1.TfjsImageRecognitionBase.convLayer(out, params.conv3, 'valid');
- out = prelu_1.prelu(out, params.prelu3_alpha);
- return out;
- });
-}
-exports.sharedLayer = sharedLayer;
-//# sourceMappingURL=sharedLayers.js.map
\ No newline at end of file
diff --git a/build/commonjs/mtcnn/sharedLayers.js.map b/build/commonjs/mtcnn/sharedLayers.js.map
deleted file mode 100644
index fe4d9ef6..00000000
--- a/build/commonjs/mtcnn/sharedLayers.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"sharedLayers.js","sourceRoot":"","sources":["../../../src/mtcnn/sharedLayers.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAC5C,2EAAuE;AAEvE,iCAAgC;AAGhC,SAAgB,WAAW,CAAC,CAAc,EAAE,MAAoB,EAAE,MAAuB;IAAvB,uBAAA,EAAA,cAAuB;IACvF,OAAO,EAAE,CAAC,IAAI,CAAC;QAEb,IAAI,GAAG,GAAG,sDAAwB,CAAC,SAAS,CAAC,CAAC,EAAE,MAAM,CAAC,KAAK,EAAE,OAAO,CAAC,CAAA;QACtE,GAAG,GAAG,aAAK,CAAc,GAAG,EAAE,MAAM,CAAC,YAAY,CAAC,CAAA;QAClD,GAAG,GAAG,EAAE,CAAC,OAAO,CAAC,GAAG,EAAE,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAA,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,MAAM,CAAC,CAAA;QAC9D,GAAG,GAAG,sDAAwB,CAAC,SAAS,CAAC,GAAG,EAAE,MAAM,CAAC,KAAK,EAAE,OAAO,CAAC,CAAA;QACpE,GAAG,GAAG,aAAK,CAAc,GAAG,EAAE,MAAM,CAAC,YAAY,CAAC,CAAA;QAClD,GAAG,GAAG,MAAM,CAAC,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,EAAE,CAAC,OAAO,CAAC,GAAG,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,OAAO,CAAC,CAAA;QAC7D,GAAG,GAAG,sDAAwB,CAAC,SAAS,CAAC,GAAG,EAAE,MAAM,CAAC,KAAK,EAAE,OAAO,CAAC,CAAA;QACpE,GAAG,GAAG,aAAK,CAAc,GAAG,EAAE,MAAM,CAAC,YAAY,CAAC,CAAA;QAElD,OAAO,GAAG,CAAA;IACZ,CAAC,CAAC,CAAA;AACJ,CAAC;AAdD,kCAcC"}
\ No newline at end of file
diff --git a/build/commonjs/mtcnn/stage1.d.ts b/build/commonjs/mtcnn/stage1.d.ts
deleted file mode 100644
index f096cea1..00000000
--- a/build/commonjs/mtcnn/stage1.d.ts
+++ /dev/null
@@ -1,7 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { BoundingBox } from 'tfjs-image-recognition-base';
-import { PNetParams } from './types';
-export declare function stage1(imgTensor: tf.Tensor4D, scales: number[], scoreThreshold: number, params: PNetParams, stats: any): {
- boxes: BoundingBox[];
- scores: number[];
-};
diff --git a/build/commonjs/mtcnn/stage1.js b/build/commonjs/mtcnn/stage1.js
deleted file mode 100644
index 8671eac9..00000000
--- a/build/commonjs/mtcnn/stage1.js
+++ /dev/null
@@ -1,96 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tf = require("@tensorflow/tfjs-core");
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-var config_1 = require("./config");
-var getSizesForScale_1 = require("./getSizesForScale");
-var MtcnnBox_1 = require("./MtcnnBox");
-var normalize_1 = require("./normalize");
-var PNet_1 = require("./PNet");
-function rescaleAndNormalize(x, scale) {
- return tf.tidy(function () {
- var _a = getSizesForScale_1.getSizesForScale(scale, x.shape.slice(1)), height = _a.height, width = _a.width;
- var resized = tf.image.resizeBilinear(x, [height, width]);
- var normalized = normalize_1.normalize(resized);
- return tf.transpose(normalized, [0, 2, 1, 3]);
- });
-}
-function extractBoundingBoxes(scoresTensor, regionsTensor, scale, scoreThreshold) {
- // TODO: fix this!, maybe better to use tf.gather here
- var indices = [];
- var scoresData = scoresTensor.arraySync();
- for (var y = 0; y < scoresTensor.shape[0]; y++) {
- for (var x = 0; x < scoresTensor.shape[1]; x++) {
- if (scoresData[y][x] >= scoreThreshold) {
- indices.push(new tfjs_image_recognition_base_1.Point(x, y));
- }
- }
- }
- var boundingBoxes = indices.map(function (idx) {
- var cell = new tfjs_image_recognition_base_1.BoundingBox(Math.round((idx.y * config_1.CELL_STRIDE + 1) / scale), Math.round((idx.x * config_1.CELL_STRIDE + 1) / scale), Math.round((idx.y * config_1.CELL_STRIDE + config_1.CELL_SIZE) / scale), Math.round((idx.x * config_1.CELL_STRIDE + config_1.CELL_SIZE) / scale));
- var score = scoresData[idx.y][idx.x];
- var regionsData = regionsTensor.arraySync();
- var region = new MtcnnBox_1.MtcnnBox(regionsData[idx.y][idx.x][0], regionsData[idx.y][idx.x][1], regionsData[idx.y][idx.x][2], regionsData[idx.y][idx.x][3]);
- return {
- cell: cell,
- score: score,
- region: region
- };
- });
- return boundingBoxes;
-}
-function stage1(imgTensor, scales, scoreThreshold, params, stats) {
- stats.stage1 = [];
- var pnetOutputs = scales.map(function (scale) { return tf.tidy(function () {
- var statsForScale = { scale: scale };
- var resized = rescaleAndNormalize(imgTensor, scale);
- var ts = Date.now();
- var _a = PNet_1.PNet(resized, params), prob = _a.prob, regions = _a.regions;
- statsForScale.pnet = Date.now() - ts;
- var scoresTensor = tf.unstack(tf.unstack(prob, 3)[1])[0];
- var regionsTensor = tf.unstack(regions)[0];
- return {
- scoresTensor: scoresTensor,
- regionsTensor: regionsTensor,
- scale: scale,
- statsForScale: statsForScale
- };
- }); });
- var boxesForScale = pnetOutputs.map(function (_a) {
- var scoresTensor = _a.scoresTensor, regionsTensor = _a.regionsTensor, scale = _a.scale, statsForScale = _a.statsForScale;
- var boundingBoxes = extractBoundingBoxes(scoresTensor, regionsTensor, scale, scoreThreshold);
- scoresTensor.dispose();
- regionsTensor.dispose();
- if (!boundingBoxes.length) {
- stats.stage1.push(statsForScale);
- return [];
- }
- var ts = Date.now();
- var indices = tfjs_image_recognition_base_1.nonMaxSuppression(boundingBoxes.map(function (bbox) { return bbox.cell; }), boundingBoxes.map(function (bbox) { return bbox.score; }), 0.5);
- statsForScale.nms = Date.now() - ts;
- statsForScale.numBoxes = indices.length;
- stats.stage1.push(statsForScale);
- return indices.map(function (boxIdx) { return boundingBoxes[boxIdx]; });
- });
- var allBoxes = boxesForScale.reduce(function (all, boxes) { return all.concat(boxes); }, []);
- var finalBoxes = [];
- var finalScores = [];
- if (allBoxes.length > 0) {
- var ts = Date.now();
- var indices = tfjs_image_recognition_base_1.nonMaxSuppression(allBoxes.map(function (bbox) { return bbox.cell; }), allBoxes.map(function (bbox) { return bbox.score; }), 0.7);
- stats.stage1_nms = Date.now() - ts;
- finalScores = indices.map(function (idx) { return allBoxes[idx].score; });
- finalBoxes = indices
- .map(function (idx) { return allBoxes[idx]; })
- .map(function (_a) {
- var cell = _a.cell, region = _a.region;
- return new tfjs_image_recognition_base_1.BoundingBox(cell.left + (region.left * cell.width), cell.top + (region.top * cell.height), cell.right + (region.right * cell.width), cell.bottom + (region.bottom * cell.height)).toSquare().round();
- });
- }
- return {
- boxes: finalBoxes,
- scores: finalScores
- };
-}
-exports.stage1 = stage1;
-//# sourceMappingURL=stage1.js.map
\ No newline at end of file
diff --git a/build/commonjs/mtcnn/stage1.js.map b/build/commonjs/mtcnn/stage1.js.map
deleted file mode 100644
index fb9d904c..00000000
--- a/build/commonjs/mtcnn/stage1.js.map
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/build/commonjs/mtcnn/stage2.d.ts b/build/commonjs/mtcnn/stage2.d.ts
deleted file mode 100644
index de3a4c61..00000000
--- a/build/commonjs/mtcnn/stage2.d.ts
+++ /dev/null
@@ -1,6 +0,0 @@
-import { Box } from 'tfjs-image-recognition-base';
-import { RNetParams } from './types';
-export declare function stage2(img: HTMLCanvasElement, inputBoxes: Box[], scoreThreshold: number, params: RNetParams, stats: any): Promise<{
- boxes: Box[];
- scores: number[];
-}>;
diff --git a/build/commonjs/mtcnn/stage2.js b/build/commonjs/mtcnn/stage2.js
deleted file mode 100644
index 0e174059..00000000
--- a/build/commonjs/mtcnn/stage2.js
+++ /dev/null
@@ -1,70 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-var tf = require("@tensorflow/tfjs-core");
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-var extractImagePatches_1 = require("./extractImagePatches");
-var MtcnnBox_1 = require("./MtcnnBox");
-var RNet_1 = require("./RNet");
-function stage2(img, inputBoxes, scoreThreshold, params, stats) {
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- var ts, rnetInputs, rnetOuts, scoresTensor, scores, _a, _b, indices, filteredBoxes, filteredScores, finalBoxes, finalScores, indicesNms, regions_1;
- return tslib_1.__generator(this, function (_c) {
- switch (_c.label) {
- case 0:
- ts = Date.now();
- return [4 /*yield*/, extractImagePatches_1.extractImagePatches(img, inputBoxes, { width: 24, height: 24 })];
- case 1:
- rnetInputs = _c.sent();
- stats.stage2_extractImagePatches = Date.now() - ts;
- ts = Date.now();
- rnetOuts = rnetInputs.map(function (rnetInput) {
- var out = RNet_1.RNet(rnetInput, params);
- rnetInput.dispose();
- return out;
- });
- stats.stage2_rnet = Date.now() - ts;
- scoresTensor = rnetOuts.length > 1
- ? tf.concat(rnetOuts.map(function (out) { return out.scores; }))
- : rnetOuts[0].scores;
- _b = (_a = Array).from;
- return [4 /*yield*/, scoresTensor.data()];
- case 2:
- scores = _b.apply(_a, [_c.sent()]);
- scoresTensor.dispose();
- indices = scores
- .map(function (score, idx) { return ({ score: score, idx: idx }); })
- .filter(function (c) { return c.score > scoreThreshold; })
- .map(function (_a) {
- var idx = _a.idx;
- return idx;
- });
- filteredBoxes = indices.map(function (idx) { return inputBoxes[idx]; });
- filteredScores = indices.map(function (idx) { return scores[idx]; });
- finalBoxes = [];
- finalScores = [];
- if (filteredBoxes.length > 0) {
- ts = Date.now();
- indicesNms = tfjs_image_recognition_base_1.nonMaxSuppression(filteredBoxes, filteredScores, 0.7);
- stats.stage2_nms = Date.now() - ts;
- regions_1 = indicesNms.map(function (idx) {
- var regionsData = rnetOuts[indices[idx]].regions.arraySync();
- return new MtcnnBox_1.MtcnnBox(regionsData[0][0], regionsData[0][1], regionsData[0][2], regionsData[0][3]);
- });
- finalScores = indicesNms.map(function (idx) { return filteredScores[idx]; });
- finalBoxes = indicesNms.map(function (idx, i) { return filteredBoxes[idx].calibrate(regions_1[i]); });
- }
- rnetOuts.forEach(function (t) {
- t.regions.dispose();
- t.scores.dispose();
- });
- return [2 /*return*/, {
- boxes: finalBoxes,
- scores: finalScores
- }];
- }
- });
- });
-}
-exports.stage2 = stage2;
-//# sourceMappingURL=stage2.js.map
\ No newline at end of file
diff --git a/build/commonjs/mtcnn/stage2.js.map b/build/commonjs/mtcnn/stage2.js.map
deleted file mode 100644
index d8428476..00000000
--- a/build/commonjs/mtcnn/stage2.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"stage2.js","sourceRoot":"","sources":["../../../src/mtcnn/stage2.ts"],"names":[],"mappings":";;;AAAA,0CAA4C;AAC5C,2EAAqE;AAErE,6DAA4D;AAC5D,uCAAsC;AACtC,+BAA8B;AAG9B,SAAsB,MAAM,CAC1B,GAAsB,EACtB,UAAiB,EACjB,cAAsB,EACtB,MAAkB,EAClB,KAAU;;;;;;oBAGN,EAAE,GAAG,IAAI,CAAC,GAAG,EAAE,CAAA;oBACA,qBAAM,yCAAmB,CAAC,GAAG,EAAE,UAAU,EAAE,EAAE,KAAK,EAAE,EAAE,EAAE,MAAM,EAAE,EAAE,EAAE,CAAC,EAAA;;oBAAlF,UAAU,GAAG,SAAqE;oBACxF,KAAK,CAAC,0BAA0B,GAAG,IAAI,CAAC,GAAG,EAAE,GAAG,EAAE,CAAA;oBAElD,EAAE,GAAG,IAAI,CAAC,GAAG,EAAE,CAAA;oBACT,QAAQ,GAAG,UAAU,CAAC,GAAG,CAC7B,UAAA,SAAS;wBACP,IAAM,GAAG,GAAG,WAAI,CAAC,SAAS,EAAE,MAAM,CAAC,CAAA;wBACnC,SAAS,CAAC,OAAO,EAAE,CAAA;wBACnB,OAAO,GAAG,CAAA;oBACZ,CAAC,CACF,CAAA;oBACD,KAAK,CAAC,WAAW,GAAG,IAAI,CAAC,GAAG,EAAE,GAAG,EAAE,CAAA;oBAE7B,YAAY,GAAG,QAAQ,CAAC,MAAM,GAAG,CAAC;wBACtC,CAAC,CAAC,EAAE,CAAC,MAAM,CAAC,QAAQ,CAAC,GAAG,CAAC,UAAA,GAAG,IAAI,OAAA,GAAG,CAAC,MAAM,EAAV,CAAU,CAAC,CAAC;wBAC5C,CAAC,CAAC,QAAQ,CAAC,CAAC,CAAC,CAAC,MAAM,CAAA;oBACP,KAAA,CAAA,KAAA,KAAK,CAAA,CAAC,IAAI,CAAA;oBAAC,qBAAM,YAAY,CAAC,IAAI,EAAE,EAAA;;oBAA7C,MAAM,GAAG,cAAW,SAAyB,EAAC;oBACpD,YAAY,CAAC,OAAO,EAAE,CAAA;oBAEhB,OAAO,GAAG,MAAM;yBACnB,GAAG,CAAC,UAAC,KAAK,EAAE,GAAG,IAAK,OAAA,CAAC,EAAE,KAAK,OAAA,EAAE,GAAG,KAAA,EAAE,CAAC,EAAhB,CAAgB,CAAC;yBACrC,MAAM,CAAC,UAAA,CAAC,IAAI,OAAA,CAAC,CAAC,KAAK,GAAG,cAAc,EAAxB,CAAwB,CAAC;yBACrC,GAAG,CAAC,UAAC,EAAO;4BAAL,YAAG;wBAAO,OAAA,GAAG;oBAAH,CAAG,CAAC,CAAA;oBAElB,aAAa,GAAG,OAAO,CAAC,GAAG,CAAC,UAAA,GAAG,IAAI,OAAA,UAAU,CAAC,GAAG,CAAC,EAAf,CAAe,CAAC,CAAA;oBACnD,cAAc,GAAG,OAAO,CAAC,GAAG,CAAC,UAAA,GAAG,IAAI,OAAA,MAAM,CAAC,GAAG,CAAC,EAAX,CAAW,CAAC,CAAA;oBAElD,UAAU,GAAU,EAAE,CAAA;oBACtB,WAAW,GAAa,EAAE,CAAA;oBAE9B,IAAI,aAAa,CAAC,MAAM,GAAG,CAAC,EAAE;wBAC5B,EAAE,GAAG,IAAI,CAAC,GAAG,EAAE,CAAA;wBACT,UAAU,GAAG,+CAAiB,CAClC,aAAa,EACb,cAAc,EACd,GAAG,CACJ,CAAA;wBACD,KAAK,CAAC,UAAU,GAAG,IAAI,CAAC,GAAG,EAAE,GAAG,EAAE,CAAA;wBAE5B,YAAU,UAAU,CAAC,GAAG,CAAC,UAAA,GAAG;4BAC9B,IAAM,WAAW,GAAG,QAAQ,CAAC,OAAO,CAAC,GAAG,CAAC,CAAC,CAAC,OAAO,CAAC,SAAS,EAAE,CAAA;4BAC9D,OAAO,IAAI,mBAAQ,CACjB,WAAW,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EACjB,WAAW,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EACjB,WAAW,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EACjB,WAAW,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAClB,CAAA;wBACH,CAAC,CACF,CAAA;wBAED,WAAW,GAAG,UAAU,CAAC,GAAG,CAAC,UAAA,GAAG,IAAI,OAAA,cAAc,CAAC,GAAG,CAAC,EAAnB,CAAmB,CAAC,CAAA;wBACxD,UAAU,GAAG,UAAU,CAAC,GAAG,CAAC,UAAC,GAAG,EAAE,CAAC,IAAK,OAAA,aAAa,CAAC,GAAG,CAAC,CAAC,SAAS,CAAC,SAAO,CAAC,CAAC,CAAC,CAAC,EAAxC,CAAwC,CAAC,CAAA;qBAClF;oBAED,QAAQ,CAAC,OAAO,CAAC,UAAA,CAAC;wBAChB,CAAC,CAAC,OAAO,CAAC,OAAO,EAAE,CAAA;wBACnB,CAAC,CAAC,MAAM,CAAC,OAAO,EAAE,CAAA;oBACpB,CAAC,CAAC,CAAA;oBAEF,sBAAO;4BACL,KAAK,EAAE,UAAU;4BACjB,MAAM,EAAE,WAAW;yBACpB,EAAA;;;;CACF;AAxED,wBAwEC"}
\ No newline at end of file
diff --git a/build/commonjs/mtcnn/stage3.d.ts b/build/commonjs/mtcnn/stage3.d.ts
deleted file mode 100644
index 607d3047..00000000
--- a/build/commonjs/mtcnn/stage3.d.ts
+++ /dev/null
@@ -1,7 +0,0 @@
-import { BoundingBox, Box, Point } from 'tfjs-image-recognition-base';
-import { ONetParams } from './types';
-export declare function stage3(img: HTMLCanvasElement, inputBoxes: BoundingBox[], scoreThreshold: number, params: ONetParams, stats: any): Promise<{
- boxes: Box[];
- scores: number[];
- points: Point[][];
-}>;
diff --git a/build/commonjs/mtcnn/stage3.js b/build/commonjs/mtcnn/stage3.js
deleted file mode 100644
index 374b7d4d..00000000
--- a/build/commonjs/mtcnn/stage3.js
+++ /dev/null
@@ -1,80 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-var tf = require("@tensorflow/tfjs-core");
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-var extractImagePatches_1 = require("./extractImagePatches");
-var MtcnnBox_1 = require("./MtcnnBox");
-var ONet_1 = require("./ONet");
-function stage3(img, inputBoxes, scoreThreshold, params, stats) {
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- var ts, onetInputs, onetOuts, scoresTensor, scores, _a, _b, indices, filteredRegions, filteredBoxes, filteredScores, finalBoxes, finalScores, points, indicesNms;
- return tslib_1.__generator(this, function (_c) {
- switch (_c.label) {
- case 0:
- ts = Date.now();
- return [4 /*yield*/, extractImagePatches_1.extractImagePatches(img, inputBoxes, { width: 48, height: 48 })];
- case 1:
- onetInputs = _c.sent();
- stats.stage3_extractImagePatches = Date.now() - ts;
- ts = Date.now();
- onetOuts = onetInputs.map(function (onetInput) {
- var out = ONet_1.ONet(onetInput, params);
- onetInput.dispose();
- return out;
- });
- stats.stage3_onet = Date.now() - ts;
- scoresTensor = onetOuts.length > 1
- ? tf.concat(onetOuts.map(function (out) { return out.scores; }))
- : onetOuts[0].scores;
- _b = (_a = Array).from;
- return [4 /*yield*/, scoresTensor.data()];
- case 2:
- scores = _b.apply(_a, [_c.sent()]);
- scoresTensor.dispose();
- indices = scores
- .map(function (score, idx) { return ({ score: score, idx: idx }); })
- .filter(function (c) { return c.score > scoreThreshold; })
- .map(function (_a) {
- var idx = _a.idx;
- return idx;
- });
- filteredRegions = indices.map(function (idx) {
- var regionsData = onetOuts[idx].regions.arraySync();
- return new MtcnnBox_1.MtcnnBox(regionsData[0][0], regionsData[0][1], regionsData[0][2], regionsData[0][3]);
- });
- filteredBoxes = indices
- .map(function (idx, i) { return inputBoxes[idx].calibrate(filteredRegions[i]); });
- filteredScores = indices.map(function (idx) { return scores[idx]; });
- finalBoxes = [];
- finalScores = [];
- points = [];
- if (filteredBoxes.length > 0) {
- ts = Date.now();
- indicesNms = tfjs_image_recognition_base_1.nonMaxSuppression(filteredBoxes, filteredScores, 0.7, false);
- stats.stage3_nms = Date.now() - ts;
- finalBoxes = indicesNms.map(function (idx) { return filteredBoxes[idx]; });
- finalScores = indicesNms.map(function (idx) { return filteredScores[idx]; });
- points = indicesNms.map(function (idx, i) {
- return Array(5).fill(0).map(function (_, ptIdx) {
- var pointsData = onetOuts[idx].points.arraySync();
- return new tfjs_image_recognition_base_1.Point(((pointsData[0][ptIdx] * (finalBoxes[i].width + 1)) + finalBoxes[i].left), ((pointsData[0][ptIdx + 5] * (finalBoxes[i].height + 1)) + finalBoxes[i].top));
- });
- });
- }
- onetOuts.forEach(function (t) {
- t.regions.dispose();
- t.scores.dispose();
- t.points.dispose();
- });
- return [2 /*return*/, {
- boxes: finalBoxes,
- scores: finalScores,
- points: points
- }];
- }
- });
- });
-}
-exports.stage3 = stage3;
-//# sourceMappingURL=stage3.js.map
\ No newline at end of file
diff --git a/build/commonjs/mtcnn/stage3.js.map b/build/commonjs/mtcnn/stage3.js.map
deleted file mode 100644
index 0f41f2a3..00000000
--- a/build/commonjs/mtcnn/stage3.js.map
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/build/commonjs/mtcnn/types.d.ts b/build/commonjs/mtcnn/types.d.ts
deleted file mode 100644
index b7f89f6a..00000000
--- a/build/commonjs/mtcnn/types.d.ts
+++ /dev/null
@@ -1,37 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-import { FaceLandmarks5 } from '../classes/FaceLandmarks5';
-import { WithFaceDetection, WithFaceLandmarks } from '../factories';
-export declare type SharedParams = {
- conv1: TfjsImageRecognitionBase.ConvParams;
- prelu1_alpha: tf.Tensor1D;
- conv2: TfjsImageRecognitionBase.ConvParams;
- prelu2_alpha: tf.Tensor1D;
- conv3: TfjsImageRecognitionBase.ConvParams;
- prelu3_alpha: tf.Tensor1D;
-};
-export declare type PNetParams = SharedParams & {
- conv4_1: TfjsImageRecognitionBase.ConvParams;
- conv4_2: TfjsImageRecognitionBase.ConvParams;
-};
-export declare type RNetParams = SharedParams & {
- fc1: TfjsImageRecognitionBase.FCParams;
- prelu4_alpha: tf.Tensor1D;
- fc2_1: TfjsImageRecognitionBase.FCParams;
- fc2_2: TfjsImageRecognitionBase.FCParams;
-};
-export declare type ONetParams = SharedParams & {
- conv4: TfjsImageRecognitionBase.ConvParams;
- prelu4_alpha: tf.Tensor1D;
- fc1: TfjsImageRecognitionBase.FCParams;
- prelu5_alpha: tf.Tensor1D;
- fc2_1: TfjsImageRecognitionBase.FCParams;
- fc2_2: TfjsImageRecognitionBase.FCParams;
- fc2_3: TfjsImageRecognitionBase.FCParams;
-};
-export declare type NetParams = {
- pnet: PNetParams;
- rnet: RNetParams;
- onet: ONetParams;
-};
-export declare type MtcnnResult = WithFaceLandmarks, FaceLandmarks5>;
diff --git a/build/commonjs/mtcnn/types.js b/build/commonjs/mtcnn/types.js
deleted file mode 100644
index 11e638d1..00000000
--- a/build/commonjs/mtcnn/types.js
+++ /dev/null
@@ -1,3 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-//# sourceMappingURL=types.js.map
\ No newline at end of file
diff --git a/build/commonjs/mtcnn/types.js.map b/build/commonjs/mtcnn/types.js.map
deleted file mode 100644
index a06d2049..00000000
--- a/build/commonjs/mtcnn/types.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"types.js","sourceRoot":"","sources":["../../../src/mtcnn/types.ts"],"names":[],"mappings":""}
\ No newline at end of file
diff --git a/build/commonjs/resizeResults.d.ts b/build/commonjs/resizeResults.d.ts
deleted file mode 100644
index e4fdddf3..00000000
--- a/build/commonjs/resizeResults.d.ts
+++ /dev/null
@@ -1,2 +0,0 @@
-import { IDimensions } from 'tfjs-image-recognition-base';
-export declare function resizeResults(results: T, { width, height }: IDimensions): T;
diff --git a/build/commonjs/resizeResults.js b/build/commonjs/resizeResults.js
deleted file mode 100644
index 390affee..00000000
--- a/build/commonjs/resizeResults.js
+++ /dev/null
@@ -1,28 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var FaceDetection_1 = require("./classes/FaceDetection");
-var FaceLandmarks_1 = require("./classes/FaceLandmarks");
-var WithFaceDetection_1 = require("./factories/WithFaceDetection");
-var WithFaceLandmarks_1 = require("./factories/WithFaceLandmarks");
-function resizeResults(results, _a) {
- var width = _a.width, height = _a.height;
- if (Array.isArray(results)) {
- return results.map(function (obj) { return resizeResults(obj, { width: width, height: height }); });
- }
- var hasLandmarks = results['unshiftedLandmarks'] && results['unshiftedLandmarks'] instanceof FaceLandmarks_1.FaceLandmarks;
- var hasDetection = results['detection'] && results['detection'] instanceof FaceDetection_1.FaceDetection;
- if (hasLandmarks) {
- var resizedDetection = results['detection'].forSize(width, height);
- var resizedLandmarks = results['unshiftedLandmarks'].forSize(resizedDetection.box.width, resizedDetection.box.height);
- return WithFaceLandmarks_1.extendWithFaceLandmarks(WithFaceDetection_1.extendWithFaceDetection(results, resizedDetection), resizedLandmarks);
- }
- if (hasDetection) {
- return WithFaceDetection_1.extendWithFaceDetection(results, results['detection'].forSize(width, height));
- }
- if (results instanceof FaceLandmarks_1.FaceLandmarks || results instanceof FaceDetection_1.FaceDetection) {
- return results.forSize(width, height);
- }
- return results;
-}
-exports.resizeResults = resizeResults;
-//# sourceMappingURL=resizeResults.js.map
\ No newline at end of file
diff --git a/build/commonjs/resizeResults.js.map b/build/commonjs/resizeResults.js.map
deleted file mode 100644
index 60738d43..00000000
--- a/build/commonjs/resizeResults.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"resizeResults.js","sourceRoot":"","sources":["../../src/resizeResults.ts"],"names":[],"mappings":";;AAEA,yDAAwD;AACxD,yDAAwD;AACxD,mEAAwE;AACxE,mEAAwE;AAExE,SAAgB,aAAa,CAAI,OAAU,EAAE,EAA8B;QAA5B,gBAAK,EAAE,kBAAM;IAE1D,IAAI,KAAK,CAAC,OAAO,CAAC,OAAO,CAAC,EAAE;QAC1B,OAAO,OAAO,CAAC,GAAG,CAAC,UAAA,GAAG,IAAI,OAAA,aAAa,CAAC,GAAG,EAAE,EAAE,KAAK,OAAA,EAAE,MAAM,QAAA,EAAE,CAAC,EAArC,CAAqC,CAAa,CAAA;KAC7E;IAED,IAAM,YAAY,GAAG,OAAO,CAAC,oBAAoB,CAAC,IAAI,OAAO,CAAC,oBAAoB,CAAC,YAAY,6BAAa,CAAA;IAC5G,IAAM,YAAY,GAAG,OAAO,CAAC,WAAW,CAAC,IAAI,OAAO,CAAC,WAAW,CAAC,YAAY,6BAAa,CAAA;IAE1F,IAAI,YAAY,EAAE;QAChB,IAAM,gBAAgB,GAAG,OAAO,CAAC,WAAW,CAAC,CAAC,OAAO,CAAC,KAAK,EAAE,MAAM,CAAC,CAAA;QACpE,IAAM,gBAAgB,GAAG,OAAO,CAAC,oBAAoB,CAAC,CAAC,OAAO,CAAC,gBAAgB,CAAC,GAAG,CAAC,KAAK,EAAE,gBAAgB,CAAC,GAAG,CAAC,MAAM,CAAC,CAAA;QAEvH,OAAO,2CAAuB,CAAC,2CAAuB,CAAC,OAAc,EAAE,gBAAgB,CAAC,EAAE,gBAAgB,CAAC,CAAA;KAC5G;IAED,IAAI,YAAY,EAAE;QAChB,OAAO,2CAAuB,CAAC,OAAc,EAAE,OAAO,CAAC,WAAW,CAAC,CAAC,OAAO,CAAC,KAAK,EAAE,MAAM,CAAC,CAAC,CAAA;KAC5F;IAED,IAAI,OAAO,YAAY,6BAAa,IAAI,OAAO,YAAY,6BAAa,EAAE;QACxE,OAAQ,OAAe,CAAC,OAAO,CAAC,KAAK,EAAE,MAAM,CAAC,CAAA;KAC/C;IAED,OAAO,OAAO,CAAA;AAChB,CAAC;AAzBD,sCAyBC"}
\ No newline at end of file
diff --git a/build/commonjs/ssdMobilenetv1/SsdMobilenetv1.d.ts b/build/commonjs/ssdMobilenetv1/SsdMobilenetv1.d.ts
deleted file mode 100644
index 5551a4e9..00000000
--- a/build/commonjs/ssdMobilenetv1/SsdMobilenetv1.d.ts
+++ /dev/null
@@ -1,26 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { NetInput, NeuralNetwork, TNetInput } from 'tfjs-image-recognition-base';
-import { FaceDetection } from '../classes/FaceDetection';
-import { ISsdMobilenetv1Options } from './SsdMobilenetv1Options';
-import { NetParams } from './types';
-export declare class SsdMobilenetv1 extends NeuralNetwork {
- constructor();
- forwardInput(input: NetInput): {
- boxes: tf.Tensor[];
- scores: tf.Tensor[];
- };
- forward(input: TNetInput): Promise<{
- boxes: tf.Tensor[];
- scores: tf.Tensor[];
- }>;
- locateFaces(input: TNetInput, options?: ISsdMobilenetv1Options): Promise;
- protected getDefaultModelName(): string;
- protected extractParamsFromWeigthMap(weightMap: tf.NamedTensorMap): {
- params: NetParams;
- paramMappings: import("tfjs-image-recognition-base/build/commonjs/common").ParamMapping[];
- };
- protected extractParams(weights: Float32Array): {
- params: NetParams;
- paramMappings: import("tfjs-image-recognition-base/build/commonjs/common").ParamMapping[];
- };
-}
diff --git a/build/commonjs/ssdMobilenetv1/SsdMobilenetv1.js b/build/commonjs/ssdMobilenetv1/SsdMobilenetv1.js
deleted file mode 100644
index ff02428f..00000000
--- a/build/commonjs/ssdMobilenetv1/SsdMobilenetv1.js
+++ /dev/null
@@ -1,108 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-var tf = require("@tensorflow/tfjs-core");
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-var FaceDetection_1 = require("../classes/FaceDetection");
-var extractParams_1 = require("./extractParams");
-var extractParamsFromWeigthMap_1 = require("./extractParamsFromWeigthMap");
-var mobileNetV1_1 = require("./mobileNetV1");
-var nonMaxSuppression_1 = require("./nonMaxSuppression");
-var outputLayer_1 = require("./outputLayer");
-var predictionLayer_1 = require("./predictionLayer");
-var SsdMobilenetv1Options_1 = require("./SsdMobilenetv1Options");
-var SsdMobilenetv1 = /** @class */ (function (_super) {
- tslib_1.__extends(SsdMobilenetv1, _super);
- function SsdMobilenetv1() {
- return _super.call(this, 'SsdMobilenetv1') || this;
- }
- SsdMobilenetv1.prototype.forwardInput = function (input) {
- var params = this.params;
- if (!params) {
- throw new Error('SsdMobilenetv1 - load model before inference');
- }
- return tf.tidy(function () {
- var batchTensor = input.toBatchTensor(512, false).toFloat();
- var x = tf.sub(tf.mul(batchTensor, tf.scalar(0.007843137718737125)), tf.scalar(1));
- var features = mobileNetV1_1.mobileNetV1(x, params.mobilenetv1);
- var _a = predictionLayer_1.predictionLayer(features.out, features.conv11, params.prediction_layer), boxPredictions = _a.boxPredictions, classPredictions = _a.classPredictions;
- return outputLayer_1.outputLayer(boxPredictions, classPredictions, params.output_layer);
- });
- };
- SsdMobilenetv1.prototype.forward = function (input) {
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- var _a;
- return tslib_1.__generator(this, function (_b) {
- switch (_b.label) {
- case 0:
- _a = this.forwardInput;
- return [4 /*yield*/, tfjs_image_recognition_base_1.toNetInput(input)];
- case 1: return [2 /*return*/, _a.apply(this, [_b.sent()])];
- }
- });
- });
- };
- SsdMobilenetv1.prototype.locateFaces = function (input, options) {
- if (options === void 0) { options = {}; }
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- var _a, maxResults, minConfidence, netInput, _b, _boxes, _scores, boxes, scores, i, scoresData, _c, _d, iouThreshold, indices, reshapedDims, inputSize, padX, padY, boxesData, results;
- return tslib_1.__generator(this, function (_e) {
- switch (_e.label) {
- case 0:
- _a = new SsdMobilenetv1Options_1.SsdMobilenetv1Options(options), maxResults = _a.maxResults, minConfidence = _a.minConfidence;
- return [4 /*yield*/, tfjs_image_recognition_base_1.toNetInput(input)];
- case 1:
- netInput = _e.sent();
- _b = this.forwardInput(netInput), _boxes = _b.boxes, _scores = _b.scores;
- boxes = _boxes[0];
- scores = _scores[0];
- for (i = 1; i < _boxes.length; i++) {
- _boxes[i].dispose();
- _scores[i].dispose();
- }
- _d = (_c = Array).from;
- return [4 /*yield*/, scores.data()];
- case 2:
- scoresData = _d.apply(_c, [_e.sent()]);
- iouThreshold = 0.5;
- indices = nonMaxSuppression_1.nonMaxSuppression(boxes, scoresData, maxResults, iouThreshold, minConfidence);
- reshapedDims = netInput.getReshapedInputDimensions(0);
- inputSize = netInput.inputSize;
- padX = inputSize / reshapedDims.width;
- padY = inputSize / reshapedDims.height;
- boxesData = boxes.arraySync();
- results = indices
- .map(function (idx) {
- var _a = [
- Math.max(0, boxesData[idx][0]),
- Math.min(1.0, boxesData[idx][2])
- ].map(function (val) { return val * padY; }), top = _a[0], bottom = _a[1];
- var _b = [
- Math.max(0, boxesData[idx][1]),
- Math.min(1.0, boxesData[idx][3])
- ].map(function (val) { return val * padX; }), left = _b[0], right = _b[1];
- return new FaceDetection_1.FaceDetection(scoresData[idx], new tfjs_image_recognition_base_1.Rect(left, top, right - left, bottom - top), {
- height: netInput.getInputHeight(0),
- width: netInput.getInputWidth(0)
- });
- });
- boxes.dispose();
- scores.dispose();
- return [2 /*return*/, results];
- }
- });
- });
- };
- SsdMobilenetv1.prototype.getDefaultModelName = function () {
- return 'ssd_mobilenetv1_model';
- };
- SsdMobilenetv1.prototype.extractParamsFromWeigthMap = function (weightMap) {
- return extractParamsFromWeigthMap_1.extractParamsFromWeigthMap(weightMap);
- };
- SsdMobilenetv1.prototype.extractParams = function (weights) {
- return extractParams_1.extractParams(weights);
- };
- return SsdMobilenetv1;
-}(tfjs_image_recognition_base_1.NeuralNetwork));
-exports.SsdMobilenetv1 = SsdMobilenetv1;
-//# sourceMappingURL=SsdMobilenetv1.js.map
\ No newline at end of file
diff --git a/build/commonjs/ssdMobilenetv1/SsdMobilenetv1.js.map b/build/commonjs/ssdMobilenetv1/SsdMobilenetv1.js.map
deleted file mode 100644
index 5aab1ee9..00000000
--- a/build/commonjs/ssdMobilenetv1/SsdMobilenetv1.js.map
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/build/commonjs/ssdMobilenetv1/SsdMobilenetv1Options.d.ts b/build/commonjs/ssdMobilenetv1/SsdMobilenetv1Options.d.ts
deleted file mode 100644
index bf75021c..00000000
--- a/build/commonjs/ssdMobilenetv1/SsdMobilenetv1Options.d.ts
+++ /dev/null
@@ -1,12 +0,0 @@
-export interface ISsdMobilenetv1Options {
- minConfidence?: number;
- maxResults?: number;
-}
-export declare class SsdMobilenetv1Options {
- protected _name: string;
- private _minConfidence;
- private _maxResults;
- constructor({ minConfidence, maxResults }?: ISsdMobilenetv1Options);
- readonly minConfidence: number;
- readonly maxResults: number;
-}
diff --git a/build/commonjs/ssdMobilenetv1/SsdMobilenetv1Options.js b/build/commonjs/ssdMobilenetv1/SsdMobilenetv1Options.js
deleted file mode 100644
index e8e7be01..00000000
--- a/build/commonjs/ssdMobilenetv1/SsdMobilenetv1Options.js
+++ /dev/null
@@ -1,29 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var SsdMobilenetv1Options = /** @class */ (function () {
- function SsdMobilenetv1Options(_a) {
- var _b = _a === void 0 ? {} : _a, minConfidence = _b.minConfidence, maxResults = _b.maxResults;
- this._name = 'SsdMobilenetv1Options';
- this._minConfidence = minConfidence || 0.5;
- this._maxResults = maxResults || 100;
- if (typeof this._minConfidence !== 'number' || this._minConfidence <= 0 || this._minConfidence >= 1) {
- throw new Error(this._name + " - expected minConfidence to be a number between 0 and 1");
- }
- if (typeof this._maxResults !== 'number') {
- throw new Error(this._name + " - expected maxResults to be a number");
- }
- }
- Object.defineProperty(SsdMobilenetv1Options.prototype, "minConfidence", {
- get: function () { return this._minConfidence; },
- enumerable: true,
- configurable: true
- });
- Object.defineProperty(SsdMobilenetv1Options.prototype, "maxResults", {
- get: function () { return this._maxResults; },
- enumerable: true,
- configurable: true
- });
- return SsdMobilenetv1Options;
-}());
-exports.SsdMobilenetv1Options = SsdMobilenetv1Options;
-//# sourceMappingURL=SsdMobilenetv1Options.js.map
\ No newline at end of file
diff --git a/build/commonjs/ssdMobilenetv1/SsdMobilenetv1Options.js.map b/build/commonjs/ssdMobilenetv1/SsdMobilenetv1Options.js.map
deleted file mode 100644
index 03c196c8..00000000
--- a/build/commonjs/ssdMobilenetv1/SsdMobilenetv1Options.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"SsdMobilenetv1Options.js","sourceRoot":"","sources":["../../../src/ssdMobilenetv1/SsdMobilenetv1Options.ts"],"names":[],"mappings":";;AAKA;IAME,+BAAY,EAA0D;YAA1D,4BAA0D,EAAxD,gCAAa,EAAE,0BAAU;QAL7B,UAAK,GAAW,uBAAuB,CAAA;QAM/C,IAAI,CAAC,cAAc,GAAG,aAAa,IAAI,GAAG,CAAA;QAC1C,IAAI,CAAC,WAAW,GAAG,UAAU,IAAI,GAAG,CAAA;QAEpC,IAAI,OAAO,IAAI,CAAC,cAAc,KAAK,QAAQ,IAAI,IAAI,CAAC,cAAc,IAAI,CAAC,IAAI,IAAI,CAAC,cAAc,IAAI,CAAC,EAAE;YACnG,MAAM,IAAI,KAAK,CAAI,IAAI,CAAC,KAAK,6DAA0D,CAAC,CAAA;SACzF;QAED,IAAI,OAAO,IAAI,CAAC,WAAW,KAAK,QAAQ,EAAE;YACxC,MAAM,IAAI,KAAK,CAAI,IAAI,CAAC,KAAK,0CAAuC,CAAC,CAAA;SACtE;IACH,CAAC;IAED,sBAAI,gDAAa;aAAjB,cAA8B,OAAO,IAAI,CAAC,cAAc,CAAA,CAAC,CAAC;;;OAAA;IAC1D,sBAAI,6CAAU;aAAd,cAA2B,OAAO,IAAI,CAAC,WAAW,CAAA,CAAC,CAAC;;;OAAA;IACtD,4BAAC;AAAD,CAAC,AArBD,IAqBC;AArBY,sDAAqB"}
\ No newline at end of file
diff --git a/build/commonjs/ssdMobilenetv1/boxPredictionLayer.d.ts b/build/commonjs/ssdMobilenetv1/boxPredictionLayer.d.ts
deleted file mode 100644
index bed8cd15..00000000
--- a/build/commonjs/ssdMobilenetv1/boxPredictionLayer.d.ts
+++ /dev/null
@@ -1,6 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { BoxPredictionParams } from './types';
-export declare function boxPredictionLayer(x: tf.Tensor4D, params: BoxPredictionParams): {
- boxPredictionEncoding: tf.Tensor;
- classPrediction: tf.Tensor;
-};
diff --git a/build/commonjs/ssdMobilenetv1/boxPredictionLayer.js b/build/commonjs/ssdMobilenetv1/boxPredictionLayer.js
deleted file mode 100644
index f6d98856..00000000
--- a/build/commonjs/ssdMobilenetv1/boxPredictionLayer.js
+++ /dev/null
@@ -1,17 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tf = require("@tensorflow/tfjs-core");
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-function boxPredictionLayer(x, params) {
- return tf.tidy(function () {
- var batchSize = x.shape[0];
- var boxPredictionEncoding = tf.reshape(tfjs_image_recognition_base_1.TfjsImageRecognitionBase.convLayer(x, params.box_encoding_predictor), [batchSize, -1, 1, 4]);
- var classPrediction = tf.reshape(tfjs_image_recognition_base_1.TfjsImageRecognitionBase.convLayer(x, params.class_predictor), [batchSize, -1, 3]);
- return {
- boxPredictionEncoding: boxPredictionEncoding,
- classPrediction: classPrediction
- };
- });
-}
-exports.boxPredictionLayer = boxPredictionLayer;
-//# sourceMappingURL=boxPredictionLayer.js.map
\ No newline at end of file
diff --git a/build/commonjs/ssdMobilenetv1/boxPredictionLayer.js.map b/build/commonjs/ssdMobilenetv1/boxPredictionLayer.js.map
deleted file mode 100644
index 8b17f5f2..00000000
--- a/build/commonjs/ssdMobilenetv1/boxPredictionLayer.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"boxPredictionLayer.js","sourceRoot":"","sources":["../../../src/ssdMobilenetv1/boxPredictionLayer.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAC5C,2EAAuE;AAKvE,SAAgB,kBAAkB,CAChC,CAAc,EACd,MAA2B;IAE3B,OAAO,EAAE,CAAC,IAAI,CAAC;QAEb,IAAM,SAAS,GAAG,CAAC,CAAC,KAAK,CAAC,CAAC,CAAC,CAAA;QAE5B,IAAM,qBAAqB,GAAG,EAAE,CAAC,OAAO,CACtC,sDAAwB,CAAC,SAAS,CAAC,CAAC,EAAE,MAAM,CAAC,sBAAsB,CAAC,EACpE,CAAC,SAAS,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CACtB,CAAA;QACD,IAAM,eAAe,GAAG,EAAE,CAAC,OAAO,CAChC,sDAAwB,CAAC,SAAS,CAAC,CAAC,EAAE,MAAM,CAAC,eAAe,CAAC,EAC7D,CAAC,SAAS,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CACnB,CAAA;QAED,OAAO;YACL,qBAAqB,uBAAA;YACrB,eAAe,iBAAA;SAChB,CAAA;IACH,CAAC,CAAC,CAAA;AACJ,CAAC;AAtBD,gDAsBC"}
\ No newline at end of file
diff --git a/build/commonjs/ssdMobilenetv1/extractParams.d.ts b/build/commonjs/ssdMobilenetv1/extractParams.d.ts
deleted file mode 100644
index 14d45d2b..00000000
--- a/build/commonjs/ssdMobilenetv1/extractParams.d.ts
+++ /dev/null
@@ -1,6 +0,0 @@
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-import { NetParams } from './types';
-export declare function extractParams(weights: Float32Array): {
- params: NetParams;
- paramMappings: TfjsImageRecognitionBase.ParamMapping[];
-};
diff --git a/build/commonjs/ssdMobilenetv1/extractParams.js b/build/commonjs/ssdMobilenetv1/extractParams.js
deleted file mode 100644
index 7d8ad86b..00000000
--- a/build/commonjs/ssdMobilenetv1/extractParams.js
+++ /dev/null
@@ -1,162 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tf = require("@tensorflow/tfjs-core");
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-function extractorsFactory(extractWeights, paramMappings) {
- function extractDepthwiseConvParams(numChannels, mappedPrefix) {
- var filters = tf.tensor4d(extractWeights(3 * 3 * numChannels), [3, 3, numChannels, 1]);
- var batch_norm_scale = tf.tensor1d(extractWeights(numChannels));
- var batch_norm_offset = tf.tensor1d(extractWeights(numChannels));
- var batch_norm_mean = tf.tensor1d(extractWeights(numChannels));
- var batch_norm_variance = tf.tensor1d(extractWeights(numChannels));
- paramMappings.push({ paramPath: mappedPrefix + "/filters" }, { paramPath: mappedPrefix + "/batch_norm_scale" }, { paramPath: mappedPrefix + "/batch_norm_offset" }, { paramPath: mappedPrefix + "/batch_norm_mean" }, { paramPath: mappedPrefix + "/batch_norm_variance" });
- return {
- filters: filters,
- batch_norm_scale: batch_norm_scale,
- batch_norm_offset: batch_norm_offset,
- batch_norm_mean: batch_norm_mean,
- batch_norm_variance: batch_norm_variance
- };
- }
- function extractConvParams(channelsIn, channelsOut, filterSize, mappedPrefix, isPointwiseConv) {
- var filters = tf.tensor4d(extractWeights(channelsIn * channelsOut * filterSize * filterSize), [filterSize, filterSize, channelsIn, channelsOut]);
- var bias = tf.tensor1d(extractWeights(channelsOut));
- paramMappings.push({ paramPath: mappedPrefix + "/filters" }, { paramPath: mappedPrefix + "/" + (isPointwiseConv ? 'batch_norm_offset' : 'bias') });
- return { filters: filters, bias: bias };
- }
- function extractPointwiseConvParams(channelsIn, channelsOut, filterSize, mappedPrefix) {
- var _a = extractConvParams(channelsIn, channelsOut, filterSize, mappedPrefix, true), filters = _a.filters, bias = _a.bias;
- return {
- filters: filters,
- batch_norm_offset: bias
- };
- }
- function extractConvPairParams(channelsIn, channelsOut, mappedPrefix) {
- var depthwise_conv = extractDepthwiseConvParams(channelsIn, mappedPrefix + "/depthwise_conv");
- var pointwise_conv = extractPointwiseConvParams(channelsIn, channelsOut, 1, mappedPrefix + "/pointwise_conv");
- return { depthwise_conv: depthwise_conv, pointwise_conv: pointwise_conv };
- }
- function extractMobilenetV1Params() {
- var conv_0 = extractPointwiseConvParams(3, 32, 3, 'mobilenetv1/conv_0');
- var conv_1 = extractConvPairParams(32, 64, 'mobilenetv1/conv_1');
- var conv_2 = extractConvPairParams(64, 128, 'mobilenetv1/conv_2');
- var conv_3 = extractConvPairParams(128, 128, 'mobilenetv1/conv_3');
- var conv_4 = extractConvPairParams(128, 256, 'mobilenetv1/conv_4');
- var conv_5 = extractConvPairParams(256, 256, 'mobilenetv1/conv_5');
- var conv_6 = extractConvPairParams(256, 512, 'mobilenetv1/conv_6');
- var conv_7 = extractConvPairParams(512, 512, 'mobilenetv1/conv_7');
- var conv_8 = extractConvPairParams(512, 512, 'mobilenetv1/conv_8');
- var conv_9 = extractConvPairParams(512, 512, 'mobilenetv1/conv_9');
- var conv_10 = extractConvPairParams(512, 512, 'mobilenetv1/conv_10');
- var conv_11 = extractConvPairParams(512, 512, 'mobilenetv1/conv_11');
- var conv_12 = extractConvPairParams(512, 1024, 'mobilenetv1/conv_12');
- var conv_13 = extractConvPairParams(1024, 1024, 'mobilenetv1/conv_13');
- return {
- conv_0: conv_0,
- conv_1: conv_1,
- conv_2: conv_2,
- conv_3: conv_3,
- conv_4: conv_4,
- conv_5: conv_5,
- conv_6: conv_6,
- conv_7: conv_7,
- conv_8: conv_8,
- conv_9: conv_9,
- conv_10: conv_10,
- conv_11: conv_11,
- conv_12: conv_12,
- conv_13: conv_13
- };
- }
- function extractPredictionLayerParams() {
- var conv_0 = extractPointwiseConvParams(1024, 256, 1, 'prediction_layer/conv_0');
- var conv_1 = extractPointwiseConvParams(256, 512, 3, 'prediction_layer/conv_1');
- var conv_2 = extractPointwiseConvParams(512, 128, 1, 'prediction_layer/conv_2');
- var conv_3 = extractPointwiseConvParams(128, 256, 3, 'prediction_layer/conv_3');
- var conv_4 = extractPointwiseConvParams(256, 128, 1, 'prediction_layer/conv_4');
- var conv_5 = extractPointwiseConvParams(128, 256, 3, 'prediction_layer/conv_5');
- var conv_6 = extractPointwiseConvParams(256, 64, 1, 'prediction_layer/conv_6');
- var conv_7 = extractPointwiseConvParams(64, 128, 3, 'prediction_layer/conv_7');
- var box_encoding_0_predictor = extractConvParams(512, 12, 1, 'prediction_layer/box_predictor_0/box_encoding_predictor');
- var class_predictor_0 = extractConvParams(512, 9, 1, 'prediction_layer/box_predictor_0/class_predictor');
- var box_encoding_1_predictor = extractConvParams(1024, 24, 1, 'prediction_layer/box_predictor_1/box_encoding_predictor');
- var class_predictor_1 = extractConvParams(1024, 18, 1, 'prediction_layer/box_predictor_1/class_predictor');
- var box_encoding_2_predictor = extractConvParams(512, 24, 1, 'prediction_layer/box_predictor_2/box_encoding_predictor');
- var class_predictor_2 = extractConvParams(512, 18, 1, 'prediction_layer/box_predictor_2/class_predictor');
- var box_encoding_3_predictor = extractConvParams(256, 24, 1, 'prediction_layer/box_predictor_3/box_encoding_predictor');
- var class_predictor_3 = extractConvParams(256, 18, 1, 'prediction_layer/box_predictor_3/class_predictor');
- var box_encoding_4_predictor = extractConvParams(256, 24, 1, 'prediction_layer/box_predictor_4/box_encoding_predictor');
- var class_predictor_4 = extractConvParams(256, 18, 1, 'prediction_layer/box_predictor_4/class_predictor');
- var box_encoding_5_predictor = extractConvParams(128, 24, 1, 'prediction_layer/box_predictor_5/box_encoding_predictor');
- var class_predictor_5 = extractConvParams(128, 18, 1, 'prediction_layer/box_predictor_5/class_predictor');
- var box_predictor_0 = {
- box_encoding_predictor: box_encoding_0_predictor,
- class_predictor: class_predictor_0
- };
- var box_predictor_1 = {
- box_encoding_predictor: box_encoding_1_predictor,
- class_predictor: class_predictor_1
- };
- var box_predictor_2 = {
- box_encoding_predictor: box_encoding_2_predictor,
- class_predictor: class_predictor_2
- };
- var box_predictor_3 = {
- box_encoding_predictor: box_encoding_3_predictor,
- class_predictor: class_predictor_3
- };
- var box_predictor_4 = {
- box_encoding_predictor: box_encoding_4_predictor,
- class_predictor: class_predictor_4
- };
- var box_predictor_5 = {
- box_encoding_predictor: box_encoding_5_predictor,
- class_predictor: class_predictor_5
- };
- return {
- conv_0: conv_0,
- conv_1: conv_1,
- conv_2: conv_2,
- conv_3: conv_3,
- conv_4: conv_4,
- conv_5: conv_5,
- conv_6: conv_6,
- conv_7: conv_7,
- box_predictor_0: box_predictor_0,
- box_predictor_1: box_predictor_1,
- box_predictor_2: box_predictor_2,
- box_predictor_3: box_predictor_3,
- box_predictor_4: box_predictor_4,
- box_predictor_5: box_predictor_5
- };
- }
- return {
- extractMobilenetV1Params: extractMobilenetV1Params,
- extractPredictionLayerParams: extractPredictionLayerParams
- };
-}
-function extractParams(weights) {
- var paramMappings = [];
- var _a = tfjs_image_recognition_base_1.TfjsImageRecognitionBase.extractWeightsFactory(weights), extractWeights = _a.extractWeights, getRemainingWeights = _a.getRemainingWeights;
- var _b = extractorsFactory(extractWeights, paramMappings), extractMobilenetV1Params = _b.extractMobilenetV1Params, extractPredictionLayerParams = _b.extractPredictionLayerParams;
- var mobilenetv1 = extractMobilenetV1Params();
- var prediction_layer = extractPredictionLayerParams();
- var extra_dim = tf.tensor3d(extractWeights(5118 * 4), [1, 5118, 4]);
- var output_layer = {
- extra_dim: extra_dim
- };
- paramMappings.push({ paramPath: 'output_layer/extra_dim' });
- if (getRemainingWeights().length !== 0) {
- throw new Error("weights remaing after extract: " + getRemainingWeights().length);
- }
- return {
- params: {
- mobilenetv1: mobilenetv1,
- prediction_layer: prediction_layer,
- output_layer: output_layer
- },
- paramMappings: paramMappings
- };
-}
-exports.extractParams = extractParams;
-//# sourceMappingURL=extractParams.js.map
\ No newline at end of file
diff --git a/build/commonjs/ssdMobilenetv1/extractParams.js.map b/build/commonjs/ssdMobilenetv1/extractParams.js.map
deleted file mode 100644
index 482117f1..00000000
--- a/build/commonjs/ssdMobilenetv1/extractParams.js.map
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/build/commonjs/ssdMobilenetv1/extractParamsFromWeigthMap.d.ts b/build/commonjs/ssdMobilenetv1/extractParamsFromWeigthMap.d.ts
deleted file mode 100644
index 7bf5a66d..00000000
--- a/build/commonjs/ssdMobilenetv1/extractParamsFromWeigthMap.d.ts
+++ /dev/null
@@ -1,7 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-import { NetParams } from './types';
-export declare function extractParamsFromWeigthMap(weightMap: tf.NamedTensorMap): {
- params: NetParams;
- paramMappings: TfjsImageRecognitionBase.ParamMapping[];
-};
diff --git a/build/commonjs/ssdMobilenetv1/extractParamsFromWeigthMap.js b/build/commonjs/ssdMobilenetv1/extractParamsFromWeigthMap.js
deleted file mode 100644
index 295ac3a5..00000000
--- a/build/commonjs/ssdMobilenetv1/extractParamsFromWeigthMap.js
+++ /dev/null
@@ -1,102 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-function extractorsFactory(weightMap, paramMappings) {
- var extractWeightEntry = tfjs_image_recognition_base_1.TfjsImageRecognitionBase.extractWeightEntryFactory(weightMap, paramMappings);
- function extractPointwiseConvParams(prefix, idx, mappedPrefix) {
- var filters = extractWeightEntry(prefix + "/Conv2d_" + idx + "_pointwise/weights", 4, mappedPrefix + "/filters");
- var batch_norm_offset = extractWeightEntry(prefix + "/Conv2d_" + idx + "_pointwise/convolution_bn_offset", 1, mappedPrefix + "/batch_norm_offset");
- return { filters: filters, batch_norm_offset: batch_norm_offset };
- }
- function extractConvPairParams(idx) {
- var mappedPrefix = "mobilenetv1/conv_" + idx;
- var prefixDepthwiseConv = "MobilenetV1/Conv2d_" + idx + "_depthwise";
- var mappedPrefixDepthwiseConv = mappedPrefix + "/depthwise_conv";
- var mappedPrefixPointwiseConv = mappedPrefix + "/pointwise_conv";
- var filters = extractWeightEntry(prefixDepthwiseConv + "/depthwise_weights", 4, mappedPrefixDepthwiseConv + "/filters");
- var batch_norm_scale = extractWeightEntry(prefixDepthwiseConv + "/BatchNorm/gamma", 1, mappedPrefixDepthwiseConv + "/batch_norm_scale");
- var batch_norm_offset = extractWeightEntry(prefixDepthwiseConv + "/BatchNorm/beta", 1, mappedPrefixDepthwiseConv + "/batch_norm_offset");
- var batch_norm_mean = extractWeightEntry(prefixDepthwiseConv + "/BatchNorm/moving_mean", 1, mappedPrefixDepthwiseConv + "/batch_norm_mean");
- var batch_norm_variance = extractWeightEntry(prefixDepthwiseConv + "/BatchNorm/moving_variance", 1, mappedPrefixDepthwiseConv + "/batch_norm_variance");
- return {
- depthwise_conv: {
- filters: filters,
- batch_norm_scale: batch_norm_scale,
- batch_norm_offset: batch_norm_offset,
- batch_norm_mean: batch_norm_mean,
- batch_norm_variance: batch_norm_variance
- },
- pointwise_conv: extractPointwiseConvParams('MobilenetV1', idx, mappedPrefixPointwiseConv)
- };
- }
- function extractMobilenetV1Params() {
- return {
- conv_0: extractPointwiseConvParams('MobilenetV1', 0, 'mobilenetv1/conv_0'),
- conv_1: extractConvPairParams(1),
- conv_2: extractConvPairParams(2),
- conv_3: extractConvPairParams(3),
- conv_4: extractConvPairParams(4),
- conv_5: extractConvPairParams(5),
- conv_6: extractConvPairParams(6),
- conv_7: extractConvPairParams(7),
- conv_8: extractConvPairParams(8),
- conv_9: extractConvPairParams(9),
- conv_10: extractConvPairParams(10),
- conv_11: extractConvPairParams(11),
- conv_12: extractConvPairParams(12),
- conv_13: extractConvPairParams(13)
- };
- }
- function extractConvParams(prefix, mappedPrefix) {
- var filters = extractWeightEntry(prefix + "/weights", 4, mappedPrefix + "/filters");
- var bias = extractWeightEntry(prefix + "/biases", 1, mappedPrefix + "/bias");
- return { filters: filters, bias: bias };
- }
- function extractBoxPredictorParams(idx) {
- var box_encoding_predictor = extractConvParams("Prediction/BoxPredictor_" + idx + "/BoxEncodingPredictor", "prediction_layer/box_predictor_" + idx + "/box_encoding_predictor");
- var class_predictor = extractConvParams("Prediction/BoxPredictor_" + idx + "/ClassPredictor", "prediction_layer/box_predictor_" + idx + "/class_predictor");
- return { box_encoding_predictor: box_encoding_predictor, class_predictor: class_predictor };
- }
- function extractPredictionLayerParams() {
- return {
- conv_0: extractPointwiseConvParams('Prediction', 0, 'prediction_layer/conv_0'),
- conv_1: extractPointwiseConvParams('Prediction', 1, 'prediction_layer/conv_1'),
- conv_2: extractPointwiseConvParams('Prediction', 2, 'prediction_layer/conv_2'),
- conv_3: extractPointwiseConvParams('Prediction', 3, 'prediction_layer/conv_3'),
- conv_4: extractPointwiseConvParams('Prediction', 4, 'prediction_layer/conv_4'),
- conv_5: extractPointwiseConvParams('Prediction', 5, 'prediction_layer/conv_5'),
- conv_6: extractPointwiseConvParams('Prediction', 6, 'prediction_layer/conv_6'),
- conv_7: extractPointwiseConvParams('Prediction', 7, 'prediction_layer/conv_7'),
- box_predictor_0: extractBoxPredictorParams(0),
- box_predictor_1: extractBoxPredictorParams(1),
- box_predictor_2: extractBoxPredictorParams(2),
- box_predictor_3: extractBoxPredictorParams(3),
- box_predictor_4: extractBoxPredictorParams(4),
- box_predictor_5: extractBoxPredictorParams(5)
- };
- }
- return {
- extractMobilenetV1Params: extractMobilenetV1Params,
- extractPredictionLayerParams: extractPredictionLayerParams
- };
-}
-function extractParamsFromWeigthMap(weightMap) {
- var paramMappings = [];
- var _a = extractorsFactory(weightMap, paramMappings), extractMobilenetV1Params = _a.extractMobilenetV1Params, extractPredictionLayerParams = _a.extractPredictionLayerParams;
- var extra_dim = weightMap['Output/extra_dim'];
- paramMappings.push({ originalPath: 'Output/extra_dim', paramPath: 'output_layer/extra_dim' });
- if (!tfjs_image_recognition_base_1.isTensor3D(extra_dim)) {
- throw new Error("expected weightMap['Output/extra_dim'] to be a Tensor3D, instead have " + extra_dim);
- }
- var params = {
- mobilenetv1: extractMobilenetV1Params(),
- prediction_layer: extractPredictionLayerParams(),
- output_layer: {
- extra_dim: extra_dim
- }
- };
- tfjs_image_recognition_base_1.TfjsImageRecognitionBase.disposeUnusedWeightTensors(weightMap, paramMappings);
- return { params: params, paramMappings: paramMappings };
-}
-exports.extractParamsFromWeigthMap = extractParamsFromWeigthMap;
-//# sourceMappingURL=extractParamsFromWeigthMap.js.map
\ No newline at end of file
diff --git a/build/commonjs/ssdMobilenetv1/extractParamsFromWeigthMap.js.map b/build/commonjs/ssdMobilenetv1/extractParamsFromWeigthMap.js.map
deleted file mode 100644
index 3649d067..00000000
--- a/build/commonjs/ssdMobilenetv1/extractParamsFromWeigthMap.js.map
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/build/commonjs/ssdMobilenetv1/index.d.ts b/build/commonjs/ssdMobilenetv1/index.d.ts
deleted file mode 100644
index b83f4792..00000000
--- a/build/commonjs/ssdMobilenetv1/index.d.ts
+++ /dev/null
@@ -1,7 +0,0 @@
-import { SsdMobilenetv1 } from './SsdMobilenetv1';
-export * from './SsdMobilenetv1';
-export * from './SsdMobilenetv1Options';
-export declare function createSsdMobilenetv1(weights: Float32Array): SsdMobilenetv1;
-export declare function createFaceDetectionNet(weights: Float32Array): SsdMobilenetv1;
-export declare class FaceDetectionNet extends SsdMobilenetv1 {
-}
diff --git a/build/commonjs/ssdMobilenetv1/index.js b/build/commonjs/ssdMobilenetv1/index.js
deleted file mode 100644
index 648d3667..00000000
--- a/build/commonjs/ssdMobilenetv1/index.js
+++ /dev/null
@@ -1,26 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-var SsdMobilenetv1_1 = require("./SsdMobilenetv1");
-tslib_1.__exportStar(require("./SsdMobilenetv1"), exports);
-tslib_1.__exportStar(require("./SsdMobilenetv1Options"), exports);
-function createSsdMobilenetv1(weights) {
- var net = new SsdMobilenetv1_1.SsdMobilenetv1();
- net.extractWeights(weights);
- return net;
-}
-exports.createSsdMobilenetv1 = createSsdMobilenetv1;
-function createFaceDetectionNet(weights) {
- return createSsdMobilenetv1(weights);
-}
-exports.createFaceDetectionNet = createFaceDetectionNet;
-// alias for backward compatibily
-var FaceDetectionNet = /** @class */ (function (_super) {
- tslib_1.__extends(FaceDetectionNet, _super);
- function FaceDetectionNet() {
- return _super !== null && _super.apply(this, arguments) || this;
- }
- return FaceDetectionNet;
-}(SsdMobilenetv1_1.SsdMobilenetv1));
-exports.FaceDetectionNet = FaceDetectionNet;
-//# sourceMappingURL=index.js.map
\ No newline at end of file
diff --git a/build/commonjs/ssdMobilenetv1/index.js.map b/build/commonjs/ssdMobilenetv1/index.js.map
deleted file mode 100644
index 996f9483..00000000
--- a/build/commonjs/ssdMobilenetv1/index.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"index.js","sourceRoot":"","sources":["../../../src/ssdMobilenetv1/index.ts"],"names":[],"mappings":";;;AAAA,mDAAkD;AAElD,2DAAiC;AACjC,kEAAwC;AAExC,SAAgB,oBAAoB,CAAC,OAAqB;IACxD,IAAM,GAAG,GAAG,IAAI,+BAAc,EAAE,CAAA;IAChC,GAAG,CAAC,cAAc,CAAC,OAAO,CAAC,CAAA;IAC3B,OAAO,GAAG,CAAA;AACZ,CAAC;AAJD,oDAIC;AAED,SAAgB,sBAAsB,CAAC,OAAqB;IAC1D,OAAO,oBAAoB,CAAC,OAAO,CAAC,CAAA;AACtC,CAAC;AAFD,wDAEC;AAED,iCAAiC;AACjC;IAAsC,4CAAc;IAApD;;IAAsD,CAAC;IAAD,uBAAC;AAAD,CAAC,AAAvD,CAAsC,+BAAc,GAAG;AAA1C,4CAAgB"}
\ No newline at end of file
diff --git a/build/commonjs/ssdMobilenetv1/mobileNetV1.d.ts b/build/commonjs/ssdMobilenetv1/mobileNetV1.d.ts
deleted file mode 100644
index 05f5c5fe..00000000
--- a/build/commonjs/ssdMobilenetv1/mobileNetV1.d.ts
+++ /dev/null
@@ -1,6 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { MobileNetV1 } from './types';
-export declare function mobileNetV1(x: tf.Tensor4D, params: MobileNetV1.Params): {
- out: tf.Tensor;
- conv11: any;
-};
diff --git a/build/commonjs/ssdMobilenetv1/mobileNetV1.js b/build/commonjs/ssdMobilenetv1/mobileNetV1.js
deleted file mode 100644
index 36839e82..00000000
--- a/build/commonjs/ssdMobilenetv1/mobileNetV1.js
+++ /dev/null
@@ -1,54 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tf = require("@tensorflow/tfjs-core");
-var pointwiseConvLayer_1 = require("./pointwiseConvLayer");
-var epsilon = 0.0010000000474974513;
-function depthwiseConvLayer(x, params, strides) {
- return tf.tidy(function () {
- var out = tf.depthwiseConv2d(x, params.filters, strides, 'same');
- out = tf.batchNorm(out, params.batch_norm_mean, params.batch_norm_variance, params.batch_norm_offset, params.batch_norm_scale, epsilon);
- return tf.clipByValue(out, 0, 6);
- });
-}
-function getStridesForLayerIdx(layerIdx) {
- return [2, 4, 6, 12].some(function (idx) { return idx === layerIdx; }) ? [2, 2] : [1, 1];
-}
-function mobileNetV1(x, params) {
- return tf.tidy(function () {
- var conv11 = null;
- var out = pointwiseConvLayer_1.pointwiseConvLayer(x, params.conv_0, [2, 2]);
- var convPairParams = [
- params.conv_1,
- params.conv_2,
- params.conv_3,
- params.conv_4,
- params.conv_5,
- params.conv_6,
- params.conv_7,
- params.conv_8,
- params.conv_9,
- params.conv_10,
- params.conv_11,
- params.conv_12,
- params.conv_13
- ];
- convPairParams.forEach(function (param, i) {
- var layerIdx = i + 1;
- var depthwiseConvStrides = getStridesForLayerIdx(layerIdx);
- out = depthwiseConvLayer(out, param.depthwise_conv, depthwiseConvStrides);
- out = pointwiseConvLayer_1.pointwiseConvLayer(out, param.pointwise_conv, [1, 1]);
- if (layerIdx === 11) {
- conv11 = out;
- }
- });
- if (conv11 === null) {
- throw new Error('mobileNetV1 - output of conv layer 11 is null');
- }
- return {
- out: out,
- conv11: conv11
- };
- });
-}
-exports.mobileNetV1 = mobileNetV1;
-//# sourceMappingURL=mobileNetV1.js.map
\ No newline at end of file
diff --git a/build/commonjs/ssdMobilenetv1/mobileNetV1.js.map b/build/commonjs/ssdMobilenetv1/mobileNetV1.js.map
deleted file mode 100644
index 261e152b..00000000
--- a/build/commonjs/ssdMobilenetv1/mobileNetV1.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"mobileNetV1.js","sourceRoot":"","sources":["../../../src/ssdMobilenetv1/mobileNetV1.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAE5C,2DAA0D;AAG1D,IAAM,OAAO,GAAG,qBAAqB,CAAA;AAErC,SAAS,kBAAkB,CACzB,CAAc,EACd,MAAuC,EACvC,OAAyB;IAEzB,OAAO,EAAE,CAAC,IAAI,CAAC;QAEb,IAAI,GAAG,GAAG,EAAE,CAAC,eAAe,CAAC,CAAC,EAAE,MAAM,CAAC,OAAO,EAAE,OAAO,EAAE,MAAM,CAAC,CAAA;QAChE,GAAG,GAAG,EAAE,CAAC,SAAS,CAChB,GAAG,EACH,MAAM,CAAC,eAAe,EACtB,MAAM,CAAC,mBAAmB,EAC1B,MAAM,CAAC,iBAAiB,EACxB,MAAM,CAAC,gBAAgB,EACvB,OAAO,CACR,CAAA;QACD,OAAO,EAAE,CAAC,WAAW,CAAC,GAAG,EAAE,CAAC,EAAE,CAAC,CAAC,CAAA;IAElC,CAAC,CAAC,CAAA;AACJ,CAAC;AAED,SAAS,qBAAqB,CAAC,QAAgB;IAC7C,OAAO,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,EAAE,CAAC,CAAC,IAAI,CAAC,UAAA,GAAG,IAAI,OAAA,GAAG,KAAK,QAAQ,EAAhB,CAAgB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAA;AACtE,CAAC;AAED,SAAgB,WAAW,CAAC,CAAc,EAAE,MAA0B;IACpE,OAAO,EAAE,CAAC,IAAI,CAAC;QAEb,IAAI,MAAM,GAAG,IAAI,CAAA;QACjB,IAAI,GAAG,GAAG,uCAAkB,CAAC,CAAC,EAAE,MAAM,CAAC,MAAM,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QAEtD,IAAM,cAAc,GAAG;YACrB,MAAM,CAAC,MAAM;YACb,MAAM,CAAC,MAAM;YACb,MAAM,CAAC,MAAM;YACb,MAAM,CAAC,MAAM;YACb,MAAM,CAAC,MAAM;YACb,MAAM,CAAC,MAAM;YACb,MAAM,CAAC,MAAM;YACb,MAAM,CAAC,MAAM;YACb,MAAM,CAAC,MAAM;YACb,MAAM,CAAC,OAAO;YACd,MAAM,CAAC,OAAO;YACd,MAAM,CAAC,OAAO;YACd,MAAM,CAAC,OAAO;SACf,CAAA;QAED,cAAc,CAAC,OAAO,CAAC,UAAC,KAAK,EAAE,CAAC;YAC9B,IAAM,QAAQ,GAAG,CAAC,GAAG,CAAC,CAAA;YACtB,IAAM,oBAAoB,GAAG,qBAAqB,CAAC,QAAQ,CAAC,CAAA;YAC5D,GAAG,GAAG,kBAAkB,CAAC,GAAG,EAAE,KAAK,CAAC,cAAc,EAAE,oBAAoB,CAAC,CAAA;YACzE,GAAG,GAAG,uCAAkB,CAAC,GAAG,EAAE,KAAK,CAAC,cAAc,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;YAC3D,IAAI,QAAQ,KAAK,EAAE,EAAE;gBACnB,MAAM,GAAG,GAAG,CAAA;aACb;QACH,CAAC,CAAC,CAAA;QAEF,IAAI,MAAM,KAAK,IAAI,EAAE;YACnB,MAAM,IAAI,KAAK,CAAC,+CAA+C,CAAC,CAAA;SACjE;QAED,OAAO;YACL,GAAG,KAAA;YACH,MAAM,EAAE,MAAa;SACtB,CAAA;IAEH,CAAC,CAAC,CAAA;AACJ,CAAC;AA1CD,kCA0CC"}
\ No newline at end of file
diff --git a/build/commonjs/ssdMobilenetv1/nonMaxSuppression.d.ts b/build/commonjs/ssdMobilenetv1/nonMaxSuppression.d.ts
deleted file mode 100644
index 6b215a26..00000000
--- a/build/commonjs/ssdMobilenetv1/nonMaxSuppression.d.ts
+++ /dev/null
@@ -1,2 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-export declare function nonMaxSuppression(boxes: tf.Tensor2D, scores: number[], maxOutputSize: number, iouThreshold: number, scoreThreshold: number): number[];
diff --git a/build/commonjs/ssdMobilenetv1/nonMaxSuppression.js b/build/commonjs/ssdMobilenetv1/nonMaxSuppression.js
deleted file mode 100644
index 1847c306..00000000
--- a/build/commonjs/ssdMobilenetv1/nonMaxSuppression.js
+++ /dev/null
@@ -1,57 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-function nonMaxSuppression(boxes, scores, maxOutputSize, iouThreshold, scoreThreshold) {
- var numBoxes = boxes.shape[0];
- var outputSize = Math.min(maxOutputSize, numBoxes);
- var candidates = scores
- .map(function (score, boxIndex) { return ({ score: score, boxIndex: boxIndex }); })
- .filter(function (c) { return c.score > scoreThreshold; })
- .sort(function (c1, c2) { return c2.score - c1.score; });
- var suppressFunc = function (x) { return x <= iouThreshold ? 1 : 0; };
- var selected = [];
- candidates.forEach(function (c) {
- if (selected.length >= outputSize) {
- return;
- }
- var originalScore = c.score;
- for (var j = selected.length - 1; j >= 0; --j) {
- var iou = IOU(boxes, c.boxIndex, selected[j]);
- if (iou === 0.0) {
- continue;
- }
- c.score *= suppressFunc(iou);
- if (c.score <= scoreThreshold) {
- break;
- }
- }
- if (originalScore === c.score) {
- selected.push(c.boxIndex);
- }
- });
- return selected;
-}
-exports.nonMaxSuppression = nonMaxSuppression;
-function IOU(boxes, i, j) {
- var boxesData = boxes.arraySync();
- var yminI = Math.min(boxesData[i][0], boxesData[i][2]);
- var xminI = Math.min(boxesData[i][1], boxesData[i][3]);
- var ymaxI = Math.max(boxesData[i][0], boxesData[i][2]);
- var xmaxI = Math.max(boxesData[i][1], boxesData[i][3]);
- var yminJ = Math.min(boxesData[j][0], boxesData[j][2]);
- var xminJ = Math.min(boxesData[j][1], boxesData[j][3]);
- var ymaxJ = Math.max(boxesData[j][0], boxesData[j][2]);
- var xmaxJ = Math.max(boxesData[j][1], boxesData[j][3]);
- var areaI = (ymaxI - yminI) * (xmaxI - xminI);
- var areaJ = (ymaxJ - yminJ) * (xmaxJ - xminJ);
- if (areaI <= 0 || areaJ <= 0) {
- return 0.0;
- }
- var intersectionYmin = Math.max(yminI, yminJ);
- var intersectionXmin = Math.max(xminI, xminJ);
- var intersectionYmax = Math.min(ymaxI, ymaxJ);
- var intersectionXmax = Math.min(xmaxI, xmaxJ);
- var intersectionArea = Math.max(intersectionYmax - intersectionYmin, 0.0) *
- Math.max(intersectionXmax - intersectionXmin, 0.0);
- return intersectionArea / (areaI + areaJ - intersectionArea);
-}
-//# sourceMappingURL=nonMaxSuppression.js.map
\ No newline at end of file
diff --git a/build/commonjs/ssdMobilenetv1/nonMaxSuppression.js.map b/build/commonjs/ssdMobilenetv1/nonMaxSuppression.js.map
deleted file mode 100644
index b655a6a4..00000000
--- a/build/commonjs/ssdMobilenetv1/nonMaxSuppression.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"nonMaxSuppression.js","sourceRoot":"","sources":["../../../src/ssdMobilenetv1/nonMaxSuppression.ts"],"names":[],"mappings":";;AAEA,SAAgB,iBAAiB,CAC/B,KAAkB,EAClB,MAAgB,EAChB,aAAqB,EACrB,YAAoB,EACpB,cAAsB;IAGtB,IAAM,QAAQ,GAAG,KAAK,CAAC,KAAK,CAAC,CAAC,CAAC,CAAA;IAC/B,IAAM,UAAU,GAAG,IAAI,CAAC,GAAG,CACzB,aAAa,EACb,QAAQ,CACT,CAAA;IAED,IAAM,UAAU,GAAG,MAAM;SACtB,GAAG,CAAC,UAAC,KAAK,EAAE,QAAQ,IAAK,OAAA,CAAC,EAAE,KAAK,OAAA,EAAE,QAAQ,UAAA,EAAE,CAAC,EAArB,CAAqB,CAAC;SAC/C,MAAM,CAAC,UAAA,CAAC,IAAI,OAAA,CAAC,CAAC,KAAK,GAAG,cAAc,EAAxB,CAAwB,CAAC;SACrC,IAAI,CAAC,UAAC,EAAE,EAAE,EAAE,IAAK,OAAA,EAAE,CAAC,KAAK,GAAG,EAAE,CAAC,KAAK,EAAnB,CAAmB,CAAC,CAAA;IAExC,IAAM,YAAY,GAAG,UAAC,CAAS,IAAK,OAAA,CAAC,IAAI,YAAY,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAzB,CAAyB,CAAA;IAE7D,IAAM,QAAQ,GAAa,EAAE,CAAA;IAE7B,UAAU,CAAC,OAAO,CAAC,UAAA,CAAC;QAClB,IAAI,QAAQ,CAAC,MAAM,IAAI,UAAU,EAAE;YACjC,OAAM;SACP;QACD,IAAM,aAAa,GAAG,CAAC,CAAC,KAAK,CAAA;QAE7B,KAAK,IAAI,CAAC,GAAG,QAAQ,CAAC,MAAM,GAAG,CAAC,EAAE,CAAC,IAAI,CAAC,EAAE,EAAE,CAAC,EAAE;YAC7C,IAAM,GAAG,GAAG,GAAG,CAAC,KAAK,EAAE,CAAC,CAAC,QAAQ,EAAE,QAAQ,CAAC,CAAC,CAAC,CAAC,CAAA;YAC/C,IAAI,GAAG,KAAK,GAAG,EAAE;gBACf,SAAQ;aACT;YACD,CAAC,CAAC,KAAK,IAAI,YAAY,CAAC,GAAG,CAAC,CAAA;YAC5B,IAAI,CAAC,CAAC,KAAK,IAAI,cAAc,EAAE;gBAC7B,MAAK;aACN;SACF;QAED,IAAI,aAAa,KAAK,CAAC,CAAC,KAAK,EAAE;YAC7B,QAAQ,CAAC,IAAI,CAAC,CAAC,CAAC,QAAQ,CAAC,CAAA;SAC1B;IACH,CAAC,CAAC,CAAA;IAEF,OAAO,QAAQ,CAAA;AACjB,CAAC;AA9CD,8CA8CC;AAED,SAAS,GAAG,CAAC,KAAkB,EAAE,CAAS,EAAE,CAAS;IACnD,IAAM,SAAS,GAAG,KAAK,CAAC,SAAS,EAAE,CAAA;IACnC,IAAM,KAAK,GAAG,IAAI,CAAC,GAAG,CAAC,SAAS,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAA;IACxD,IAAM,KAAK,GAAG,IAAI,CAAC,GAAG,CAAC,SAAS,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAA;IACxD,IAAM,KAAK,GAAG,IAAI,CAAC,GAAG,CAAC,SAAS,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAA;IACxD,IAAM,KAAK,GAAG,IAAI,CAAC,GAAG,CAAC,SAAS,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAA;IACxD,IAAM,KAAK,GAAG,IAAI,CAAC,GAAG,CAAC,SAAS,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAA;IACxD,IAAM,KAAK,GAAG,IAAI,CAAC,GAAG,CAAC,SAAS,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAA;IACxD,IAAM,KAAK,GAAG,IAAI,CAAC,GAAG,CAAC,SAAS,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAA;IACxD,IAAM,KAAK,GAAG,IAAI,CAAC,GAAG,CAAC,SAAS,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,SAAS,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAA;IACxD,IAAM,KAAK,GAAG,CAAC,KAAK,GAAG,KAAK,CAAC,GAAG,CAAC,KAAK,GAAG,KAAK,CAAC,CAAA;IAC/C,IAAM,KAAK,GAAG,CAAC,KAAK,GAAG,KAAK,CAAC,GAAG,CAAC,KAAK,GAAG,KAAK,CAAC,CAAA;IAC/C,IAAI,KAAK,IAAI,CAAC,IAAI,KAAK,IAAI,CAAC,EAAE;QAC5B,OAAO,GAAG,CAAA;KACX;IACD,IAAM,gBAAgB,GAAG,IAAI,CAAC,GAAG,CAAC,KAAK,EAAE,KAAK,CAAC,CAAA;IAC/C,IAAM,gBAAgB,GAAG,IAAI,CAAC,GAAG,CAAC,KAAK,EAAE,KAAK,CAAC,CAAA;IAC/C,IAAM,gBAAgB,GAAG,IAAI,CAAC,GAAG,CAAC,KAAK,EAAE,KAAK,CAAC,CAAA;IAC/C,IAAM,gBAAgB,GAAG,IAAI,CAAC,GAAG,CAAC,KAAK,EAAE,KAAK,CAAC,CAAA;IAC/C,IAAM,gBAAgB,GAClB,IAAI,CAAC,GAAG,CAAC,gBAAgB,GAAG,gBAAgB,EAAE,GAAG,CAAC;QAClD,IAAI,CAAC,GAAG,CAAC,gBAAgB,GAAG,gBAAgB,EAAE,GAAG,CAAC,CAAA;IACtD,OAAO,gBAAgB,GAAG,CAAC,KAAK,GAAG,KAAK,GAAG,gBAAgB,CAAC,CAAA;AAC9D,CAAC"}
\ No newline at end of file
diff --git a/build/commonjs/ssdMobilenetv1/outputLayer.d.ts b/build/commonjs/ssdMobilenetv1/outputLayer.d.ts
deleted file mode 100644
index 9ce8d135..00000000
--- a/build/commonjs/ssdMobilenetv1/outputLayer.d.ts
+++ /dev/null
@@ -1,6 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { OutputLayerParams } from './types';
-export declare function outputLayer(boxPredictions: tf.Tensor4D, classPredictions: tf.Tensor4D, params: OutputLayerParams): {
- boxes: tf.Tensor[];
- scores: tf.Tensor[];
-};
diff --git a/build/commonjs/ssdMobilenetv1/outputLayer.js b/build/commonjs/ssdMobilenetv1/outputLayer.js
deleted file mode 100644
index 63ec147c..00000000
--- a/build/commonjs/ssdMobilenetv1/outputLayer.js
+++ /dev/null
@@ -1,50 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tf = require("@tensorflow/tfjs-core");
-function getCenterCoordinatesAndSizesLayer(x) {
- var vec = tf.unstack(tf.transpose(x, [1, 0]));
- var sizes = [
- tf.sub(vec[2], vec[0]),
- tf.sub(vec[3], vec[1])
- ];
- var centers = [
- tf.add(vec[0], tf.div(sizes[0], tf.scalar(2))),
- tf.add(vec[1], tf.div(sizes[1], tf.scalar(2)))
- ];
- return {
- sizes: sizes,
- centers: centers
- };
-}
-function decodeBoxesLayer(x0, x1) {
- var _a = getCenterCoordinatesAndSizesLayer(x0), sizes = _a.sizes, centers = _a.centers;
- var vec = tf.unstack(tf.transpose(x1, [1, 0]));
- var div0_out = tf.div(tf.mul(tf.exp(tf.div(vec[2], tf.scalar(5))), sizes[0]), tf.scalar(2));
- var add0_out = tf.add(tf.mul(tf.div(vec[0], tf.scalar(10)), sizes[0]), centers[0]);
- var div1_out = tf.div(tf.mul(tf.exp(tf.div(vec[3], tf.scalar(5))), sizes[1]), tf.scalar(2));
- var add1_out = tf.add(tf.mul(tf.div(vec[1], tf.scalar(10)), sizes[1]), centers[1]);
- return tf.transpose(tf.stack([
- tf.sub(add0_out, div0_out),
- tf.sub(add1_out, div1_out),
- tf.add(add0_out, div0_out),
- tf.add(add1_out, div1_out)
- ]), [1, 0]);
-}
-function outputLayer(boxPredictions, classPredictions, params) {
- return tf.tidy(function () {
- var batchSize = boxPredictions.shape[0];
- var boxes = decodeBoxesLayer(tf.reshape(tf.tile(params.extra_dim, [batchSize, 1, 1]), [-1, 4]), tf.reshape(boxPredictions, [-1, 4]));
- boxes = tf.reshape(boxes, [batchSize, (boxes.shape[0] / batchSize), 4]);
- var scoresAndClasses = tf.sigmoid(tf.slice(classPredictions, [0, 0, 1], [-1, -1, -1]));
- var scores = tf.slice(scoresAndClasses, [0, 0, 0], [-1, -1, 1]);
- scores = tf.reshape(scores, [batchSize, scores.shape[1]]);
- var boxesByBatch = tf.unstack(boxes);
- var scoresByBatch = tf.unstack(scores);
- return {
- boxes: boxesByBatch,
- scores: scoresByBatch
- };
- });
-}
-exports.outputLayer = outputLayer;
-//# sourceMappingURL=outputLayer.js.map
\ No newline at end of file
diff --git a/build/commonjs/ssdMobilenetv1/outputLayer.js.map b/build/commonjs/ssdMobilenetv1/outputLayer.js.map
deleted file mode 100644
index 138ef0bd..00000000
--- a/build/commonjs/ssdMobilenetv1/outputLayer.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"outputLayer.js","sourceRoot":"","sources":["../../../src/ssdMobilenetv1/outputLayer.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAK5C,SAAS,iCAAiC,CAAC,CAAc;IACvD,IAAM,GAAG,GAAG,EAAE,CAAC,OAAO,CAAC,EAAE,CAAC,SAAS,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAA;IAE/C,IAAM,KAAK,GAAG;QACZ,EAAE,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC,CAAC,EAAE,GAAG,CAAC,CAAC,CAAC,CAAC;QACtB,EAAE,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC,CAAC,EAAE,GAAG,CAAC,CAAC,CAAC,CAAC;KACvB,CAAA;IAED,IAAM,OAAO,GAAG;QACd,EAAE,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC;QAC9C,EAAE,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC;KAC/C,CAAA;IAED,OAAO;QACL,KAAK,OAAA;QACL,OAAO,SAAA;KACR,CAAA;AACH,CAAC;AAED,SAAS,gBAAgB,CAAC,EAAe,EAAE,EAAe;IAClD,IAAA,0CAGmC,EAFvC,gBAAK,EACL,oBACuC,CAAA;IAEzC,IAAM,GAAG,GAAG,EAAE,CAAC,OAAO,CAAC,EAAE,CAAC,SAAS,CAAC,EAAE,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAA;IAEhD,IAAM,QAAQ,GAAG,EAAE,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,CAAC,CAAC,CAAC,CAAA;IAC7F,IAAM,QAAQ,GAAG,EAAE,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,EAAE,CAAC,CAAC,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,CAAA;IAEpF,IAAM,QAAQ,GAAG,EAAE,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,CAAC,CAAC,CAAC,CAAA;IAC7F,IAAM,QAAQ,GAAG,EAAE,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,CAAC,GAAG,CAAC,CAAC,CAAC,EAAE,EAAE,CAAC,MAAM,CAAC,EAAE,CAAC,CAAC,EAAE,KAAK,CAAC,CAAC,CAAC,CAAC,EAAE,OAAO,CAAC,CAAC,CAAC,CAAC,CAAA;IAEpF,OAAO,EAAE,CAAC,SAAS,CACjB,EAAE,CAAC,KAAK,CAAC;QACP,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,QAAQ,CAAC;QAC1B,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,QAAQ,CAAC;QAC1B,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,QAAQ,CAAC;QAC1B,EAAE,CAAC,GAAG,CAAC,QAAQ,EAAE,QAAQ,CAAC;KAC3B,CAAC,EACF,CAAC,CAAC,EAAE,CAAC,CAAC,CACP,CAAA;AACH,CAAC;AAED,SAAgB,WAAW,CACzB,cAA2B,EAC3B,gBAA6B,EAC7B,MAAyB;IAEzB,OAAO,EAAE,CAAC,IAAI,CAAC;QAEb,IAAM,SAAS,GAAG,cAAc,CAAC,KAAK,CAAC,CAAC,CAAC,CAAA;QAEzC,IAAI,KAAK,GAAG,gBAAgB,CAC1B,EAAE,CAAC,OAAO,CAAC,EAAE,CAAC,IAAI,CAAC,MAAM,CAAC,SAAS,EAAE,CAAC,SAAS,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAgB,EAChF,EAAE,CAAC,OAAO,CAAC,cAAc,EAAE,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAgB,CACnD,CAAA;QACD,KAAK,GAAG,EAAE,CAAC,OAAO,CAChB,KAAK,EACL,CAAC,SAAS,EAAE,CAAC,KAAK,CAAC,KAAK,CAAC,CAAC,CAAC,GAAG,SAAS,CAAC,EAAE,CAAC,CAAC,CAC7C,CAAA;QAED,IAAM,gBAAgB,GAAG,EAAE,CAAC,OAAO,CAAC,EAAE,CAAC,KAAK,CAAC,gBAAgB,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAA;QACxF,IAAI,MAAM,GAAG,EAAE,CAAC,KAAK,CAAC,gBAAgB,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAc,CAAA;QAE5E,MAAM,GAAG,EAAE,CAAC,OAAO,CACjB,MAAM,EACN,CAAC,SAAS,EAAE,MAAM,CAAC,KAAK,CAAC,CAAC,CAAW,CAAC,CACvC,CAAA;QAED,IAAM,YAAY,GAAG,EAAE,CAAC,OAAO,CAAC,KAAK,CAAkB,CAAA;QACvD,IAAM,aAAa,GAAG,EAAE,CAAC,OAAO,CAAC,MAAM,CAAkB,CAAA;QAEzD,OAAO;YACL,KAAK,EAAE,YAAY;YACnB,MAAM,EAAE,aAAa;SACtB,CAAA;IAEH,CAAC,CAAC,CAAA;AACJ,CAAC;AAnCD,kCAmCC"}
\ No newline at end of file
diff --git a/build/commonjs/ssdMobilenetv1/pointwiseConvLayer.d.ts b/build/commonjs/ssdMobilenetv1/pointwiseConvLayer.d.ts
deleted file mode 100644
index f7a92d55..00000000
--- a/build/commonjs/ssdMobilenetv1/pointwiseConvLayer.d.ts
+++ /dev/null
@@ -1,3 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { PointwiseConvParams } from './types';
-export declare function pointwiseConvLayer(x: tf.Tensor4D, params: PointwiseConvParams, strides: [number, number]): tf.Tensor;
diff --git a/build/commonjs/ssdMobilenetv1/pointwiseConvLayer.js b/build/commonjs/ssdMobilenetv1/pointwiseConvLayer.js
deleted file mode 100644
index 71ace7c1..00000000
--- a/build/commonjs/ssdMobilenetv1/pointwiseConvLayer.js
+++ /dev/null
@@ -1,12 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tf = require("@tensorflow/tfjs-core");
-function pointwiseConvLayer(x, params, strides) {
- return tf.tidy(function () {
- var out = tf.conv2d(x, params.filters, strides, 'same');
- out = tf.add(out, params.batch_norm_offset);
- return tf.clipByValue(out, 0, 6);
- });
-}
-exports.pointwiseConvLayer = pointwiseConvLayer;
-//# sourceMappingURL=pointwiseConvLayer.js.map
\ No newline at end of file
diff --git a/build/commonjs/ssdMobilenetv1/pointwiseConvLayer.js.map b/build/commonjs/ssdMobilenetv1/pointwiseConvLayer.js.map
deleted file mode 100644
index 817ac5be..00000000
--- a/build/commonjs/ssdMobilenetv1/pointwiseConvLayer.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"pointwiseConvLayer.js","sourceRoot":"","sources":["../../../src/ssdMobilenetv1/pointwiseConvLayer.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAI5C,SAAgB,kBAAkB,CAChC,CAAc,EACd,MAA2B,EAC3B,OAAyB;IAEzB,OAAO,EAAE,CAAC,IAAI,CAAC;QAEb,IAAI,GAAG,GAAG,EAAE,CAAC,MAAM,CAAC,CAAC,EAAE,MAAM,CAAC,OAAO,EAAE,OAAO,EAAE,MAAM,CAAC,CAAA;QACvD,GAAG,GAAG,EAAE,CAAC,GAAG,CAAC,GAAG,EAAE,MAAM,CAAC,iBAAiB,CAAC,CAAA;QAC3C,OAAO,EAAE,CAAC,WAAW,CAAC,GAAG,EAAE,CAAC,EAAE,CAAC,CAAC,CAAA;IAElC,CAAC,CAAC,CAAA;AACJ,CAAC;AAZD,gDAYC"}
\ No newline at end of file
diff --git a/build/commonjs/ssdMobilenetv1/predictionLayer.d.ts b/build/commonjs/ssdMobilenetv1/predictionLayer.d.ts
deleted file mode 100644
index 3f136062..00000000
--- a/build/commonjs/ssdMobilenetv1/predictionLayer.d.ts
+++ /dev/null
@@ -1,6 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { PredictionLayerParams } from './types';
-export declare function predictionLayer(x: tf.Tensor4D, conv11: tf.Tensor4D, params: PredictionLayerParams): {
- boxPredictions: tf.Tensor;
- classPredictions: tf.Tensor;
-};
diff --git a/build/commonjs/ssdMobilenetv1/predictionLayer.js b/build/commonjs/ssdMobilenetv1/predictionLayer.js
deleted file mode 100644
index 33847b68..00000000
--- a/build/commonjs/ssdMobilenetv1/predictionLayer.js
+++ /dev/null
@@ -1,45 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tf = require("@tensorflow/tfjs-core");
-var boxPredictionLayer_1 = require("./boxPredictionLayer");
-var pointwiseConvLayer_1 = require("./pointwiseConvLayer");
-function predictionLayer(x, conv11, params) {
- return tf.tidy(function () {
- var conv0 = pointwiseConvLayer_1.pointwiseConvLayer(x, params.conv_0, [1, 1]);
- var conv1 = pointwiseConvLayer_1.pointwiseConvLayer(conv0, params.conv_1, [2, 2]);
- var conv2 = pointwiseConvLayer_1.pointwiseConvLayer(conv1, params.conv_2, [1, 1]);
- var conv3 = pointwiseConvLayer_1.pointwiseConvLayer(conv2, params.conv_3, [2, 2]);
- var conv4 = pointwiseConvLayer_1.pointwiseConvLayer(conv3, params.conv_4, [1, 1]);
- var conv5 = pointwiseConvLayer_1.pointwiseConvLayer(conv4, params.conv_5, [2, 2]);
- var conv6 = pointwiseConvLayer_1.pointwiseConvLayer(conv5, params.conv_6, [1, 1]);
- var conv7 = pointwiseConvLayer_1.pointwiseConvLayer(conv6, params.conv_7, [2, 2]);
- var boxPrediction0 = boxPredictionLayer_1.boxPredictionLayer(conv11, params.box_predictor_0);
- var boxPrediction1 = boxPredictionLayer_1.boxPredictionLayer(x, params.box_predictor_1);
- var boxPrediction2 = boxPredictionLayer_1.boxPredictionLayer(conv1, params.box_predictor_2);
- var boxPrediction3 = boxPredictionLayer_1.boxPredictionLayer(conv3, params.box_predictor_3);
- var boxPrediction4 = boxPredictionLayer_1.boxPredictionLayer(conv5, params.box_predictor_4);
- var boxPrediction5 = boxPredictionLayer_1.boxPredictionLayer(conv7, params.box_predictor_5);
- var boxPredictions = tf.concat([
- boxPrediction0.boxPredictionEncoding,
- boxPrediction1.boxPredictionEncoding,
- boxPrediction2.boxPredictionEncoding,
- boxPrediction3.boxPredictionEncoding,
- boxPrediction4.boxPredictionEncoding,
- boxPrediction5.boxPredictionEncoding
- ], 1);
- var classPredictions = tf.concat([
- boxPrediction0.classPrediction,
- boxPrediction1.classPrediction,
- boxPrediction2.classPrediction,
- boxPrediction3.classPrediction,
- boxPrediction4.classPrediction,
- boxPrediction5.classPrediction
- ], 1);
- return {
- boxPredictions: boxPredictions,
- classPredictions: classPredictions
- };
- });
-}
-exports.predictionLayer = predictionLayer;
-//# sourceMappingURL=predictionLayer.js.map
\ No newline at end of file
diff --git a/build/commonjs/ssdMobilenetv1/predictionLayer.js.map b/build/commonjs/ssdMobilenetv1/predictionLayer.js.map
deleted file mode 100644
index 432be637..00000000
--- a/build/commonjs/ssdMobilenetv1/predictionLayer.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"predictionLayer.js","sourceRoot":"","sources":["../../../src/ssdMobilenetv1/predictionLayer.ts"],"names":[],"mappings":";;AAAA,0CAA4C;AAE5C,2DAA0D;AAC1D,2DAA0D;AAG1D,SAAgB,eAAe,CAC7B,CAAc,EACd,MAAmB,EACnB,MAA6B;IAE7B,OAAO,EAAE,CAAC,IAAI,CAAC;QAEb,IAAM,KAAK,GAAG,uCAAkB,CAAC,CAAC,EAAE,MAAM,CAAC,MAAM,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QAC1D,IAAM,KAAK,GAAG,uCAAkB,CAAC,KAAK,EAAE,MAAM,CAAC,MAAM,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QAC9D,IAAM,KAAK,GAAG,uCAAkB,CAAC,KAAK,EAAE,MAAM,CAAC,MAAM,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QAC9D,IAAM,KAAK,GAAG,uCAAkB,CAAC,KAAK,EAAE,MAAM,CAAC,MAAM,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QAC9D,IAAM,KAAK,GAAG,uCAAkB,CAAC,KAAK,EAAE,MAAM,CAAC,MAAM,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QAC9D,IAAM,KAAK,GAAG,uCAAkB,CAAC,KAAK,EAAE,MAAM,CAAC,MAAM,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QAC9D,IAAM,KAAK,GAAG,uCAAkB,CAAC,KAAK,EAAE,MAAM,CAAC,MAAM,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QAC9D,IAAM,KAAK,GAAG,uCAAkB,CAAC,KAAK,EAAE,MAAM,CAAC,MAAM,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QAE9D,IAAM,cAAc,GAAG,uCAAkB,CAAC,MAAM,EAAE,MAAM,CAAC,eAAe,CAAC,CAAA;QACzE,IAAM,cAAc,GAAG,uCAAkB,CAAC,CAAC,EAAE,MAAM,CAAC,eAAe,CAAC,CAAA;QACpE,IAAM,cAAc,GAAG,uCAAkB,CAAC,KAAK,EAAE,MAAM,CAAC,eAAe,CAAC,CAAA;QACxE,IAAM,cAAc,GAAG,uCAAkB,CAAC,KAAK,EAAE,MAAM,CAAC,eAAe,CAAC,CAAA;QACxE,IAAM,cAAc,GAAG,uCAAkB,CAAC,KAAK,EAAE,MAAM,CAAC,eAAe,CAAC,CAAA;QACxE,IAAM,cAAc,GAAG,uCAAkB,CAAC,KAAK,EAAE,MAAM,CAAC,eAAe,CAAC,CAAA;QAExE,IAAM,cAAc,GAAG,EAAE,CAAC,MAAM,CAAC;YAC/B,cAAc,CAAC,qBAAqB;YACpC,cAAc,CAAC,qBAAqB;YACpC,cAAc,CAAC,qBAAqB;YACpC,cAAc,CAAC,qBAAqB;YACpC,cAAc,CAAC,qBAAqB;YACpC,cAAc,CAAC,qBAAqB;SACrC,EAAE,CAAC,CAAgB,CAAA;QAEpB,IAAM,gBAAgB,GAAG,EAAE,CAAC,MAAM,CAAC;YACjC,cAAc,CAAC,eAAe;YAC9B,cAAc,CAAC,eAAe;YAC9B,cAAc,CAAC,eAAe;YAC9B,cAAc,CAAC,eAAe;YAC9B,cAAc,CAAC,eAAe;YAC9B,cAAc,CAAC,eAAe;SAC/B,EAAE,CAAC,CAAgB,CAAA;QAEpB,OAAO;YACL,cAAc,gBAAA;YACd,gBAAgB,kBAAA;SACjB,CAAA;IACH,CAAC,CAAC,CAAA;AACJ,CAAC;AA9CD,0CA8CC"}
\ No newline at end of file
diff --git a/build/commonjs/ssdMobilenetv1/types.d.ts b/build/commonjs/ssdMobilenetv1/types.d.ts
deleted file mode 100644
index c303dc6a..00000000
--- a/build/commonjs/ssdMobilenetv1/types.d.ts
+++ /dev/null
@@ -1,63 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-export declare type PointwiseConvParams = {
- filters: tf.Tensor4D;
- batch_norm_offset: tf.Tensor1D;
-};
-export declare namespace MobileNetV1 {
- type DepthwiseConvParams = {
- filters: tf.Tensor4D;
- batch_norm_scale: tf.Tensor1D;
- batch_norm_offset: tf.Tensor1D;
- batch_norm_mean: tf.Tensor1D;
- batch_norm_variance: tf.Tensor1D;
- };
- type ConvPairParams = {
- depthwise_conv: DepthwiseConvParams;
- pointwise_conv: PointwiseConvParams;
- };
- type Params = {
- conv_0: PointwiseConvParams;
- conv_1: ConvPairParams;
- conv_2: ConvPairParams;
- conv_3: ConvPairParams;
- conv_4: ConvPairParams;
- conv_5: ConvPairParams;
- conv_6: ConvPairParams;
- conv_7: ConvPairParams;
- conv_8: ConvPairParams;
- conv_9: ConvPairParams;
- conv_10: ConvPairParams;
- conv_11: ConvPairParams;
- conv_12: ConvPairParams;
- conv_13: ConvPairParams;
- };
-}
-export declare type BoxPredictionParams = {
- box_encoding_predictor: TfjsImageRecognitionBase.ConvParams;
- class_predictor: TfjsImageRecognitionBase.ConvParams;
-};
-export declare type PredictionLayerParams = {
- conv_0: PointwiseConvParams;
- conv_1: PointwiseConvParams;
- conv_2: PointwiseConvParams;
- conv_3: PointwiseConvParams;
- conv_4: PointwiseConvParams;
- conv_5: PointwiseConvParams;
- conv_6: PointwiseConvParams;
- conv_7: PointwiseConvParams;
- box_predictor_0: BoxPredictionParams;
- box_predictor_1: BoxPredictionParams;
- box_predictor_2: BoxPredictionParams;
- box_predictor_3: BoxPredictionParams;
- box_predictor_4: BoxPredictionParams;
- box_predictor_5: BoxPredictionParams;
-};
-export declare type OutputLayerParams = {
- extra_dim: tf.Tensor3D;
-};
-export declare type NetParams = {
- mobilenetv1: MobileNetV1.Params;
- prediction_layer: PredictionLayerParams;
- output_layer: OutputLayerParams;
-};
diff --git a/build/commonjs/ssdMobilenetv1/types.js b/build/commonjs/ssdMobilenetv1/types.js
deleted file mode 100644
index 11e638d1..00000000
--- a/build/commonjs/ssdMobilenetv1/types.js
+++ /dev/null
@@ -1,3 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-//# sourceMappingURL=types.js.map
\ No newline at end of file
diff --git a/build/commonjs/ssdMobilenetv1/types.js.map b/build/commonjs/ssdMobilenetv1/types.js.map
deleted file mode 100644
index 977d82a6..00000000
--- a/build/commonjs/ssdMobilenetv1/types.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"types.js","sourceRoot":"","sources":["../../../src/ssdMobilenetv1/types.ts"],"names":[],"mappings":""}
\ No newline at end of file
diff --git a/build/commonjs/tinyFaceDetector/TinyFaceDetector.d.ts b/build/commonjs/tinyFaceDetector/TinyFaceDetector.d.ts
deleted file mode 100644
index 5cef3f56..00000000
--- a/build/commonjs/tinyFaceDetector/TinyFaceDetector.d.ts
+++ /dev/null
@@ -1,13 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { Point, TfjsImageRecognitionBase, TNetInput } from 'tfjs-image-recognition-base';
-import { FaceDetection } from '../classes';
-export declare class TinyFaceDetector extends TfjsImageRecognitionBase.TinyYolov2 {
- constructor();
- readonly anchors: Point[];
- locateFaces(input: TNetInput, forwardParams: TfjsImageRecognitionBase.ITinyYolov2Options): Promise;
- protected getDefaultModelName(): string;
- protected extractParamsFromWeigthMap(weightMap: tf.NamedTensorMap): {
- params: TfjsImageRecognitionBase.TinyYolov2NetParams;
- paramMappings: TfjsImageRecognitionBase.ParamMapping[];
- };
-}
diff --git a/build/commonjs/tinyFaceDetector/TinyFaceDetector.js b/build/commonjs/tinyFaceDetector/TinyFaceDetector.js
deleted file mode 100644
index 1c889fb8..00000000
--- a/build/commonjs/tinyFaceDetector/TinyFaceDetector.js
+++ /dev/null
@@ -1,52 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-var classes_1 = require("../classes");
-var const_1 = require("./const");
-var TinyFaceDetector = /** @class */ (function (_super) {
- tslib_1.__extends(TinyFaceDetector, _super);
- function TinyFaceDetector() {
- var _this = this;
- var config = {
- withSeparableConvs: true,
- iouThreshold: const_1.IOU_THRESHOLD,
- classes: ['face'],
- anchors: const_1.BOX_ANCHORS,
- meanRgb: const_1.MEAN_RGB,
- isFirstLayerConv2d: true,
- filterSizes: [3, 16, 32, 64, 128, 256, 512]
- };
- _this = _super.call(this, config) || this;
- return _this;
- }
- Object.defineProperty(TinyFaceDetector.prototype, "anchors", {
- get: function () {
- return this.config.anchors;
- },
- enumerable: true,
- configurable: true
- });
- TinyFaceDetector.prototype.locateFaces = function (input, forwardParams) {
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- var objectDetections;
- return tslib_1.__generator(this, function (_a) {
- switch (_a.label) {
- case 0: return [4 /*yield*/, this.detect(input, forwardParams)];
- case 1:
- objectDetections = _a.sent();
- return [2 /*return*/, objectDetections.map(function (det) { return new classes_1.FaceDetection(det.score, det.relativeBox, { width: det.imageWidth, height: det.imageHeight }); })];
- }
- });
- });
- };
- TinyFaceDetector.prototype.getDefaultModelName = function () {
- return 'tiny_face_detector_model';
- };
- TinyFaceDetector.prototype.extractParamsFromWeigthMap = function (weightMap) {
- return _super.prototype.extractParamsFromWeigthMap.call(this, weightMap);
- };
- return TinyFaceDetector;
-}(tfjs_image_recognition_base_1.TfjsImageRecognitionBase.TinyYolov2));
-exports.TinyFaceDetector = TinyFaceDetector;
-//# sourceMappingURL=TinyFaceDetector.js.map
\ No newline at end of file
diff --git a/build/commonjs/tinyFaceDetector/TinyFaceDetector.js.map b/build/commonjs/tinyFaceDetector/TinyFaceDetector.js.map
deleted file mode 100644
index 06969501..00000000
--- a/build/commonjs/tinyFaceDetector/TinyFaceDetector.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"TinyFaceDetector.js","sourceRoot":"","sources":["../../../src/tinyFaceDetector/TinyFaceDetector.ts"],"names":[],"mappings":";;;AACA,2EAAyF;AAEzF,sCAA2C;AAC3C,iCAA+D;AAE/D;IAAsC,4CAAmC;IAEvE;QAAA,iBAYC;QAXC,IAAM,MAAM,GAAG;YACb,kBAAkB,EAAE,IAAI;YACxB,YAAY,EAAE,qBAAa;YAC3B,OAAO,EAAE,CAAC,MAAM,CAAC;YACjB,OAAO,EAAE,mBAAW;YACpB,OAAO,EAAE,gBAAQ;YACjB,kBAAkB,EAAE,IAAI;YACxB,WAAW,EAAE,CAAC,CAAC,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,EAAE,GAAG,EAAE,GAAG,EAAE,GAAG,CAAC;SAC5C,CAAA;QAED,QAAA,kBAAM,MAAM,CAAC,SAAA;;IACf,CAAC;IAED,sBAAW,qCAAO;aAAlB;YACE,OAAO,IAAI,CAAC,MAAM,CAAC,OAAO,CAAA;QAC5B,CAAC;;;OAAA;IAEY,sCAAW,GAAxB,UAAyB,KAAgB,EAAE,aAA0D;;;;;4BAC1E,qBAAM,IAAI,CAAC,MAAM,CAAC,KAAK,EAAE,aAAa,CAAC,EAAA;;wBAA1D,gBAAgB,GAAG,SAAuC;wBAChE,sBAAO,gBAAgB,CAAC,GAAG,CAAC,UAAA,GAAG,IAAI,OAAA,IAAI,uBAAa,CAAC,GAAG,CAAC,KAAK,EAAE,GAAG,CAAC,WAAW,EAAE,EAAE,KAAK,EAAE,GAAG,CAAC,UAAU,EAAE,MAAM,EAAE,GAAG,CAAC,WAAW,EAAE,CAAC,EAAjG,CAAiG,CAAC,EAAA;;;;KACtI;IAES,8CAAmB,GAA7B;QACE,OAAO,0BAA0B,CAAA;IACnC,CAAC;IAES,qDAA0B,GAApC,UAAqC,SAA4B;QAC/D,OAAO,iBAAM,0BAA0B,YAAC,SAAS,CAAC,CAAA;IACpD,CAAC;IACH,uBAAC;AAAD,CAAC,AAhCD,CAAsC,sDAAwB,CAAC,UAAU,GAgCxE;AAhCY,4CAAgB"}
\ No newline at end of file
diff --git a/build/commonjs/tinyFaceDetector/TinyFaceDetectorOptions.d.ts b/build/commonjs/tinyFaceDetector/TinyFaceDetectorOptions.d.ts
deleted file mode 100644
index c367c5fa..00000000
--- a/build/commonjs/tinyFaceDetector/TinyFaceDetectorOptions.d.ts
+++ /dev/null
@@ -1,6 +0,0 @@
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-export interface ITinyFaceDetectorOptions extends TfjsImageRecognitionBase.ITinyYolov2Options {
-}
-export declare class TinyFaceDetectorOptions extends TfjsImageRecognitionBase.TinyYolov2Options {
- protected _name: string;
-}
diff --git a/build/commonjs/tinyFaceDetector/TinyFaceDetectorOptions.js b/build/commonjs/tinyFaceDetector/TinyFaceDetectorOptions.js
deleted file mode 100644
index adca75bf..00000000
--- a/build/commonjs/tinyFaceDetector/TinyFaceDetectorOptions.js
+++ /dev/null
@@ -1,15 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-var TinyFaceDetectorOptions = /** @class */ (function (_super) {
- tslib_1.__extends(TinyFaceDetectorOptions, _super);
- function TinyFaceDetectorOptions() {
- var _this = _super !== null && _super.apply(this, arguments) || this;
- _this._name = 'TinyFaceDetectorOptions';
- return _this;
- }
- return TinyFaceDetectorOptions;
-}(tfjs_image_recognition_base_1.TfjsImageRecognitionBase.TinyYolov2Options));
-exports.TinyFaceDetectorOptions = TinyFaceDetectorOptions;
-//# sourceMappingURL=TinyFaceDetectorOptions.js.map
\ No newline at end of file
diff --git a/build/commonjs/tinyFaceDetector/TinyFaceDetectorOptions.js.map b/build/commonjs/tinyFaceDetector/TinyFaceDetectorOptions.js.map
deleted file mode 100644
index 664abe06..00000000
--- a/build/commonjs/tinyFaceDetector/TinyFaceDetectorOptions.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"TinyFaceDetectorOptions.js","sourceRoot":"","sources":["../../../src/tinyFaceDetector/TinyFaceDetectorOptions.ts"],"names":[],"mappings":";;;AAAA,2EAAuE;AAIvE;IAA6C,mDAA0C;IAAvF;QAAA,qEAEC;QADW,WAAK,GAAW,yBAAyB,CAAA;;IACrD,CAAC;IAAD,8BAAC;AAAD,CAAC,AAFD,CAA6C,sDAAwB,CAAC,iBAAiB,GAEtF;AAFY,0DAAuB"}
\ No newline at end of file
diff --git a/build/commonjs/tinyFaceDetector/const.d.ts b/build/commonjs/tinyFaceDetector/const.d.ts
deleted file mode 100644
index 11a84e48..00000000
--- a/build/commonjs/tinyFaceDetector/const.d.ts
+++ /dev/null
@@ -1,4 +0,0 @@
-import { Point } from 'tfjs-image-recognition-base';
-export declare const IOU_THRESHOLD = 0.4;
-export declare const BOX_ANCHORS: Point[];
-export declare const MEAN_RGB: [number, number, number];
diff --git a/build/commonjs/tinyFaceDetector/const.js b/build/commonjs/tinyFaceDetector/const.js
deleted file mode 100644
index 0cd3f8cc..00000000
--- a/build/commonjs/tinyFaceDetector/const.js
+++ /dev/null
@@ -1,13 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-exports.IOU_THRESHOLD = 0.4;
-exports.BOX_ANCHORS = [
- new tfjs_image_recognition_base_1.Point(1.603231, 2.094468),
- new tfjs_image_recognition_base_1.Point(6.041143, 7.080126),
- new tfjs_image_recognition_base_1.Point(2.882459, 3.518061),
- new tfjs_image_recognition_base_1.Point(4.266906, 5.178857),
- new tfjs_image_recognition_base_1.Point(9.041765, 10.66308)
-];
-exports.MEAN_RGB = [117.001, 114.697, 97.404];
-//# sourceMappingURL=const.js.map
\ No newline at end of file
diff --git a/build/commonjs/tinyFaceDetector/const.js.map b/build/commonjs/tinyFaceDetector/const.js.map
deleted file mode 100644
index 017ff38f..00000000
--- a/build/commonjs/tinyFaceDetector/const.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"const.js","sourceRoot":"","sources":["../../../src/tinyFaceDetector/const.ts"],"names":[],"mappings":";;AAAA,2EAAoD;AAEvC,QAAA,aAAa,GAAG,GAAG,CAAA;AAEnB,QAAA,WAAW,GAAG;IACzB,IAAI,mCAAK,CAAC,QAAQ,EAAE,QAAQ,CAAC;IAC7B,IAAI,mCAAK,CAAC,QAAQ,EAAE,QAAQ,CAAC;IAC7B,IAAI,mCAAK,CAAC,QAAQ,EAAE,QAAQ,CAAC;IAC7B,IAAI,mCAAK,CAAC,QAAQ,EAAE,QAAQ,CAAC;IAC7B,IAAI,mCAAK,CAAC,QAAQ,EAAE,QAAQ,CAAC;CAC9B,CAAA;AAEY,QAAA,QAAQ,GAA6B,CAAC,OAAO,EAAE,OAAO,EAAE,MAAM,CAAC,CAAA"}
\ No newline at end of file
diff --git a/build/commonjs/tinyFaceDetector/index.d.ts b/build/commonjs/tinyFaceDetector/index.d.ts
deleted file mode 100644
index cde93ca0..00000000
--- a/build/commonjs/tinyFaceDetector/index.d.ts
+++ /dev/null
@@ -1,4 +0,0 @@
-import { TinyFaceDetector } from './TinyFaceDetector';
-export * from './TinyFaceDetector';
-export * from './TinyFaceDetectorOptions';
-export declare function createTinyFaceDetector(weights: Float32Array): TinyFaceDetector;
diff --git a/build/commonjs/tinyFaceDetector/index.js b/build/commonjs/tinyFaceDetector/index.js
deleted file mode 100644
index 714c0e6c..00000000
--- a/build/commonjs/tinyFaceDetector/index.js
+++ /dev/null
@@ -1,13 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-var TinyFaceDetector_1 = require("./TinyFaceDetector");
-tslib_1.__exportStar(require("./TinyFaceDetector"), exports);
-tslib_1.__exportStar(require("./TinyFaceDetectorOptions"), exports);
-function createTinyFaceDetector(weights) {
- var net = new TinyFaceDetector_1.TinyFaceDetector();
- net.extractWeights(weights);
- return net;
-}
-exports.createTinyFaceDetector = createTinyFaceDetector;
-//# sourceMappingURL=index.js.map
\ No newline at end of file
diff --git a/build/commonjs/tinyFaceDetector/index.js.map b/build/commonjs/tinyFaceDetector/index.js.map
deleted file mode 100644
index 723fa8c0..00000000
--- a/build/commonjs/tinyFaceDetector/index.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"index.js","sourceRoot":"","sources":["../../../src/tinyFaceDetector/index.ts"],"names":[],"mappings":";;;AAAA,uDAAsD;AAEtD,6DAAmC;AACnC,oEAA0C;AAE1C,SAAgB,sBAAsB,CAAC,OAAqB;IAC1D,IAAM,GAAG,GAAG,IAAI,mCAAgB,EAAE,CAAA;IAClC,GAAG,CAAC,cAAc,CAAC,OAAO,CAAC,CAAA;IAC3B,OAAO,GAAG,CAAA;AACZ,CAAC;AAJD,wDAIC"}
\ No newline at end of file
diff --git a/build/commonjs/tinyYolov2/TinyYolov2.d.ts b/build/commonjs/tinyYolov2/TinyYolov2.d.ts
deleted file mode 100644
index c4a286ef..00000000
--- a/build/commonjs/tinyYolov2/TinyYolov2.d.ts
+++ /dev/null
@@ -1,14 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { Point, TfjsImageRecognitionBase, TNetInput } from 'tfjs-image-recognition-base';
-import { FaceDetection } from '../classes';
-export declare class TinyYolov2 extends TfjsImageRecognitionBase.TinyYolov2 {
- constructor(withSeparableConvs?: boolean);
- readonly withSeparableConvs: boolean;
- readonly anchors: Point[];
- locateFaces(input: TNetInput, forwardParams: TfjsImageRecognitionBase.ITinyYolov2Options): Promise;
- protected getDefaultModelName(): string;
- protected extractParamsFromWeigthMap(weightMap: tf.NamedTensorMap): {
- params: TfjsImageRecognitionBase.TinyYolov2NetParams;
- paramMappings: TfjsImageRecognitionBase.ParamMapping[];
- };
-}
diff --git a/build/commonjs/tinyYolov2/TinyYolov2.js b/build/commonjs/tinyYolov2/TinyYolov2.js
deleted file mode 100644
index ae502d17..00000000
--- a/build/commonjs/tinyYolov2/TinyYolov2.js
+++ /dev/null
@@ -1,64 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tslib_1 = require("tslib");
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-var classes_1 = require("../classes");
-var const_1 = require("./const");
-var TinyYolov2 = /** @class */ (function (_super) {
- tslib_1.__extends(TinyYolov2, _super);
- function TinyYolov2(withSeparableConvs) {
- if (withSeparableConvs === void 0) { withSeparableConvs = true; }
- var _this = this;
- var config = Object.assign({}, {
- withSeparableConvs: withSeparableConvs,
- iouThreshold: const_1.IOU_THRESHOLD,
- classes: ['face']
- }, withSeparableConvs
- ? {
- anchors: const_1.BOX_ANCHORS_SEPARABLE,
- meanRgb: const_1.MEAN_RGB_SEPARABLE
- }
- : {
- anchors: const_1.BOX_ANCHORS,
- withClassScores: true
- });
- _this = _super.call(this, config) || this;
- return _this;
- }
- Object.defineProperty(TinyYolov2.prototype, "withSeparableConvs", {
- get: function () {
- return this.config.withSeparableConvs;
- },
- enumerable: true,
- configurable: true
- });
- Object.defineProperty(TinyYolov2.prototype, "anchors", {
- get: function () {
- return this.config.anchors;
- },
- enumerable: true,
- configurable: true
- });
- TinyYolov2.prototype.locateFaces = function (input, forwardParams) {
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- var objectDetections;
- return tslib_1.__generator(this, function (_a) {
- switch (_a.label) {
- case 0: return [4 /*yield*/, this.detect(input, forwardParams)];
- case 1:
- objectDetections = _a.sent();
- return [2 /*return*/, objectDetections.map(function (det) { return new classes_1.FaceDetection(det.score, det.relativeBox, { width: det.imageWidth, height: det.imageHeight }); })];
- }
- });
- });
- };
- TinyYolov2.prototype.getDefaultModelName = function () {
- return this.withSeparableConvs ? const_1.DEFAULT_MODEL_NAME_SEPARABLE_CONV : const_1.DEFAULT_MODEL_NAME;
- };
- TinyYolov2.prototype.extractParamsFromWeigthMap = function (weightMap) {
- return _super.prototype.extractParamsFromWeigthMap.call(this, weightMap);
- };
- return TinyYolov2;
-}(tfjs_image_recognition_base_1.TfjsImageRecognitionBase.TinyYolov2));
-exports.TinyYolov2 = TinyYolov2;
-//# sourceMappingURL=TinyYolov2.js.map
\ No newline at end of file
diff --git a/build/commonjs/tinyYolov2/TinyYolov2.js.map b/build/commonjs/tinyYolov2/TinyYolov2.js.map
deleted file mode 100644
index 76b40263..00000000
--- a/build/commonjs/tinyYolov2/TinyYolov2.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"TinyYolov2.js","sourceRoot":"","sources":["../../../src/tinyYolov2/TinyYolov2.ts"],"names":[],"mappings":";;;AACA,2EAAyF;AAEzF,sCAA2C;AAC3C,iCAOiB;AAEjB;IAAgC,sCAAmC;IAEjE,oBAAY,kBAAkC;QAAlC,mCAAA,EAAA,yBAAkC;QAA9C,iBAkBC;QAjBC,IAAM,MAAM,GAAG,MAAM,CAAC,MAAM,CAAC,EAAE,EAAE;YAC/B,kBAAkB,oBAAA;YAClB,YAAY,EAAE,qBAAa;YAC3B,OAAO,EAAE,CAAC,MAAM,CAAC;SAClB,EACD,kBAAkB;YAChB,CAAC,CAAC;gBACA,OAAO,EAAE,6BAAqB;gBAC9B,OAAO,EAAE,0BAAkB;aAC5B;YACD,CAAC,CAAC;gBACA,OAAO,EAAE,mBAAW;gBACpB,eAAe,EAAE,IAAI;aACtB,CACF,CAAA;QAED,QAAA,kBAAM,MAAM,CAAC,SAAA;;IACf,CAAC;IAED,sBAAW,0CAAkB;aAA7B;YACE,OAAO,IAAI,CAAC,MAAM,CAAC,kBAAkB,CAAA;QACvC,CAAC;;;OAAA;IAED,sBAAW,+BAAO;aAAlB;YACE,OAAO,IAAI,CAAC,MAAM,CAAC,OAAO,CAAA;QAC5B,CAAC;;;OAAA;IAEY,gCAAW,GAAxB,UAAyB,KAAgB,EAAE,aAA0D;;;;;4BAC1E,qBAAM,IAAI,CAAC,MAAM,CAAC,KAAK,EAAE,aAAa,CAAC,EAAA;;wBAA1D,gBAAgB,GAAG,SAAuC;wBAChE,sBAAO,gBAAgB,CAAC,GAAG,CAAC,UAAA,GAAG,IAAI,OAAA,IAAI,uBAAa,CAAC,GAAG,CAAC,KAAK,EAAE,GAAG,CAAC,WAAW,EAAE,EAAE,KAAK,EAAE,GAAG,CAAC,UAAU,EAAE,MAAM,EAAE,GAAG,CAAC,WAAW,EAAE,CAAC,EAAjG,CAAiG,CAAC,EAAA;;;;KACtI;IAES,wCAAmB,GAA7B;QACE,OAAO,IAAI,CAAC,kBAAkB,CAAC,CAAC,CAAC,yCAAiC,CAAC,CAAC,CAAC,0BAAkB,CAAA;IACzF,CAAC;IAES,+CAA0B,GAApC,UAAqC,SAA4B;QAC/D,OAAO,iBAAM,0BAA0B,YAAC,SAAS,CAAC,CAAA;IACpD,CAAC;IACH,iBAAC;AAAD,CAAC,AA1CD,CAAgC,sDAAwB,CAAC,UAAU,GA0ClE;AA1CY,gCAAU"}
\ No newline at end of file
diff --git a/build/commonjs/tinyYolov2/const.d.ts b/build/commonjs/tinyYolov2/const.d.ts
deleted file mode 100644
index e64e2478..00000000
--- a/build/commonjs/tinyYolov2/const.d.ts
+++ /dev/null
@@ -1,7 +0,0 @@
-import { Point } from 'tfjs-image-recognition-base';
-export declare const IOU_THRESHOLD = 0.4;
-export declare const BOX_ANCHORS: Point[];
-export declare const BOX_ANCHORS_SEPARABLE: Point[];
-export declare const MEAN_RGB_SEPARABLE: [number, number, number];
-export declare const DEFAULT_MODEL_NAME = "tiny_yolov2_model";
-export declare const DEFAULT_MODEL_NAME_SEPARABLE_CONV = "tiny_yolov2_separable_conv_model";
diff --git a/build/commonjs/tinyYolov2/const.js b/build/commonjs/tinyYolov2/const.js
deleted file mode 100644
index 72df0e30..00000000
--- a/build/commonjs/tinyYolov2/const.js
+++ /dev/null
@@ -1,22 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var tfjs_image_recognition_base_1 = require("tfjs-image-recognition-base");
-exports.IOU_THRESHOLD = 0.4;
-exports.BOX_ANCHORS = [
- new tfjs_image_recognition_base_1.Point(0.738768, 0.874946),
- new tfjs_image_recognition_base_1.Point(2.42204, 2.65704),
- new tfjs_image_recognition_base_1.Point(4.30971, 7.04493),
- new tfjs_image_recognition_base_1.Point(10.246, 4.59428),
- new tfjs_image_recognition_base_1.Point(12.6868, 11.8741)
-];
-exports.BOX_ANCHORS_SEPARABLE = [
- new tfjs_image_recognition_base_1.Point(1.603231, 2.094468),
- new tfjs_image_recognition_base_1.Point(6.041143, 7.080126),
- new tfjs_image_recognition_base_1.Point(2.882459, 3.518061),
- new tfjs_image_recognition_base_1.Point(4.266906, 5.178857),
- new tfjs_image_recognition_base_1.Point(9.041765, 10.66308)
-];
-exports.MEAN_RGB_SEPARABLE = [117.001, 114.697, 97.404];
-exports.DEFAULT_MODEL_NAME = 'tiny_yolov2_model';
-exports.DEFAULT_MODEL_NAME_SEPARABLE_CONV = 'tiny_yolov2_separable_conv_model';
-//# sourceMappingURL=const.js.map
\ No newline at end of file
diff --git a/build/commonjs/tinyYolov2/const.js.map b/build/commonjs/tinyYolov2/const.js.map
deleted file mode 100644
index b0583b69..00000000
--- a/build/commonjs/tinyYolov2/const.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"const.js","sourceRoot":"","sources":["../../../src/tinyYolov2/const.ts"],"names":[],"mappings":";;AAAA,2EAAoD;AAEvC,QAAA,aAAa,GAAG,GAAG,CAAA;AAEnB,QAAA,WAAW,GAAG;IACzB,IAAI,mCAAK,CAAC,QAAQ,EAAE,QAAQ,CAAC;IAC7B,IAAI,mCAAK,CAAC,OAAO,EAAE,OAAO,CAAC;IAC3B,IAAI,mCAAK,CAAC,OAAO,EAAE,OAAO,CAAC;IAC3B,IAAI,mCAAK,CAAC,MAAM,EAAE,OAAO,CAAC;IAC1B,IAAI,mCAAK,CAAC,OAAO,EAAE,OAAO,CAAC;CAC5B,CAAA;AAEY,QAAA,qBAAqB,GAAG;IACnC,IAAI,mCAAK,CAAC,QAAQ,EAAE,QAAQ,CAAC;IAC7B,IAAI,mCAAK,CAAC,QAAQ,EAAE,QAAQ,CAAC;IAC7B,IAAI,mCAAK,CAAC,QAAQ,EAAE,QAAQ,CAAC;IAC7B,IAAI,mCAAK,CAAC,QAAQ,EAAE,QAAQ,CAAC;IAC7B,IAAI,mCAAK,CAAC,QAAQ,EAAE,QAAQ,CAAC;CAC9B,CAAA;AAEY,QAAA,kBAAkB,GAA6B,CAAC,OAAO,EAAE,OAAO,EAAE,MAAM,CAAC,CAAA;AAEzE,QAAA,kBAAkB,GAAG,mBAAmB,CAAA;AACxC,QAAA,iCAAiC,GAAG,kCAAkC,CAAA"}
\ No newline at end of file
diff --git a/build/commonjs/tinyYolov2/index.d.ts b/build/commonjs/tinyYolov2/index.d.ts
deleted file mode 100644
index 5721a203..00000000
--- a/build/commonjs/tinyYolov2/index.d.ts
+++ /dev/null
@@ -1,3 +0,0 @@
-import { TinyYolov2 } from './TinyYolov2';
-export { TinyYolov2 };
-export declare function createTinyYolov2(weights: Float32Array, withSeparableConvs?: boolean): TinyYolov2;
diff --git a/build/commonjs/tinyYolov2/index.js b/build/commonjs/tinyYolov2/index.js
deleted file mode 100644
index 83c4ac92..00000000
--- a/build/commonjs/tinyYolov2/index.js
+++ /dev/null
@@ -1,12 +0,0 @@
-"use strict";
-Object.defineProperty(exports, "__esModule", { value: true });
-var TinyYolov2_1 = require("./TinyYolov2");
-exports.TinyYolov2 = TinyYolov2_1.TinyYolov2;
-function createTinyYolov2(weights, withSeparableConvs) {
- if (withSeparableConvs === void 0) { withSeparableConvs = true; }
- var net = new TinyYolov2_1.TinyYolov2(withSeparableConvs);
- net.extractWeights(weights);
- return net;
-}
-exports.createTinyYolov2 = createTinyYolov2;
-//# sourceMappingURL=index.js.map
\ No newline at end of file
diff --git a/build/commonjs/tinyYolov2/index.js.map b/build/commonjs/tinyYolov2/index.js.map
deleted file mode 100644
index 13c5f54e..00000000
--- a/build/commonjs/tinyYolov2/index.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"index.js","sourceRoot":"","sources":["../../../src/tinyYolov2/index.ts"],"names":[],"mappings":";;AAAA,2CAA0C;AAEjC,qBAFA,uBAAU,CAEA;AAEnB,SAAgB,gBAAgB,CAAC,OAAqB,EAAE,kBAAkC;IAAlC,mCAAA,EAAA,yBAAkC;IACxF,IAAM,GAAG,GAAG,IAAI,uBAAU,CAAC,kBAAkB,CAAC,CAAA;IAC9C,GAAG,CAAC,cAAc,CAAC,OAAO,CAAC,CAAA;IAC3B,OAAO,GAAG,CAAA;AACZ,CAAC;AAJD,4CAIC"}
\ No newline at end of file
diff --git a/build/es6/classes/FaceDetection.d.ts b/build/es6/classes/FaceDetection.d.ts
deleted file mode 100644
index 0fed6f3f..00000000
--- a/build/es6/classes/FaceDetection.d.ts
+++ /dev/null
@@ -1,9 +0,0 @@
-import { Box, IDimensions, ObjectDetection, Rect } from 'tfjs-image-recognition-base';
-export interface IFaceDetecion {
- score: number;
- box: Box;
-}
-export declare class FaceDetection extends ObjectDetection implements IFaceDetecion {
- constructor(score: number, relativeBox: Rect, imageDims: IDimensions);
- forSize(width: number, height: number): FaceDetection;
-}
diff --git a/build/es6/classes/FaceDetection.js b/build/es6/classes/FaceDetection.js
deleted file mode 100644
index 1484ffbd..00000000
--- a/build/es6/classes/FaceDetection.js
+++ /dev/null
@@ -1,14 +0,0 @@
-import * as tslib_1 from "tslib";
-import { ObjectDetection } from 'tfjs-image-recognition-base';
-var FaceDetection = /** @class */ (function (_super) {
- tslib_1.__extends(FaceDetection, _super);
- function FaceDetection(score, relativeBox, imageDims) {
- return _super.call(this, score, score, '', relativeBox, imageDims) || this;
- }
- FaceDetection.prototype.forSize = function (width, height) {
- return _super.prototype.forSize.call(this, width, height);
- };
- return FaceDetection;
-}(ObjectDetection));
-export { FaceDetection };
-//# sourceMappingURL=FaceDetection.js.map
\ No newline at end of file
diff --git a/build/es6/classes/FaceDetection.js.map b/build/es6/classes/FaceDetection.js.map
deleted file mode 100644
index e5db7e4d..00000000
--- a/build/es6/classes/FaceDetection.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"FaceDetection.js","sourceRoot":"","sources":["../../../src/classes/FaceDetection.ts"],"names":[],"mappings":";AAAA,OAAO,EAAoB,eAAe,EAAQ,MAAM,6BAA6B,CAAC;AAOtF;IAAmC,yCAAe;IAChD,uBACE,KAAa,EACb,WAAiB,EACjB,SAAsB;eAEtB,kBAAM,KAAK,EAAE,KAAK,EAAE,EAAE,EAAE,WAAW,EAAE,SAAS,CAAC;IACjD,CAAC;IAEM,+BAAO,GAAd,UAAe,KAAa,EAAE,MAAc;QAC1C,OAAO,iBAAM,OAAO,YAAC,KAAK,EAAE,MAAM,CAAC,CAAA;IACrC,CAAC;IACH,oBAAC;AAAD,CAAC,AAZD,CAAmC,eAAe,GAYjD"}
\ No newline at end of file
diff --git a/build/es6/classes/FaceLandmarks.d.ts b/build/es6/classes/FaceLandmarks.d.ts
deleted file mode 100644
index 48ea7c81..00000000
--- a/build/es6/classes/FaceLandmarks.d.ts
+++ /dev/null
@@ -1,33 +0,0 @@
-import { Dimensions, IDimensions, Point, Rect } from 'tfjs-image-recognition-base';
-import { FaceDetection } from './FaceDetection';
-export interface IFaceLandmarks {
- positions: Point[];
- shift: Point;
-}
-export declare class FaceLandmarks implements IFaceLandmarks {
- protected _shift: Point;
- protected _positions: Point[];
- protected _imgDims: Dimensions;
- constructor(relativeFaceLandmarkPositions: Point[], imgDims: IDimensions, shift?: Point);
- readonly shift: Point;
- readonly imageWidth: number;
- readonly imageHeight: number;
- readonly positions: Point[];
- readonly relativePositions: Point[];
- forSize(width: number, height: number): T;
- shiftBy(x: number, y: number): T;
- shiftByPoint(pt: Point): T;
- /**
- * Aligns the face landmarks after face detection from the relative positions of the faces
- * bounding box, or it's current shift. This function should be used to align the face images
- * after face detection has been performed, before they are passed to the face recognition net.
- * This will make the computed face descriptor more accurate.
- *
- * @param detection (optional) The bounding box of the face or the face detection result. If
- * no argument was passed the position of the face landmarks are assumed to be relative to
- * it's current shift.
- * @returns The bounding box of the aligned face.
- */
- align(detection?: FaceDetection | Rect): Rect;
- protected getRefPointsForAlignment(): Point[];
-}
diff --git a/build/es6/classes/FaceLandmarks.js b/build/es6/classes/FaceLandmarks.js
deleted file mode 100644
index 08676418..00000000
--- a/build/es6/classes/FaceLandmarks.js
+++ /dev/null
@@ -1,87 +0,0 @@
-import { Dimensions, getCenterPoint, Point, Rect } from 'tfjs-image-recognition-base';
-import { FaceDetection } from './FaceDetection';
-// face alignment constants
-var relX = 0.5;
-var relY = 0.43;
-var relScale = 0.45;
-var FaceLandmarks = /** @class */ (function () {
- function FaceLandmarks(relativeFaceLandmarkPositions, imgDims, shift) {
- if (shift === void 0) { shift = new Point(0, 0); }
- var width = imgDims.width, height = imgDims.height;
- this._imgDims = new Dimensions(width, height);
- this._shift = shift;
- this._positions = relativeFaceLandmarkPositions.map(function (pt) { return pt.mul(new Point(width, height)).add(shift); });
- }
- Object.defineProperty(FaceLandmarks.prototype, "shift", {
- get: function () { return new Point(this._shift.x, this._shift.y); },
- enumerable: true,
- configurable: true
- });
- Object.defineProperty(FaceLandmarks.prototype, "imageWidth", {
- get: function () { return this._imgDims.width; },
- enumerable: true,
- configurable: true
- });
- Object.defineProperty(FaceLandmarks.prototype, "imageHeight", {
- get: function () { return this._imgDims.height; },
- enumerable: true,
- configurable: true
- });
- Object.defineProperty(FaceLandmarks.prototype, "positions", {
- get: function () { return this._positions; },
- enumerable: true,
- configurable: true
- });
- Object.defineProperty(FaceLandmarks.prototype, "relativePositions", {
- get: function () {
- var _this = this;
- return this._positions.map(function (pt) { return pt.sub(_this._shift).div(new Point(_this.imageWidth, _this.imageHeight)); });
- },
- enumerable: true,
- configurable: true
- });
- FaceLandmarks.prototype.forSize = function (width, height) {
- return new this.constructor(this.relativePositions, { width: width, height: height });
- };
- FaceLandmarks.prototype.shiftBy = function (x, y) {
- return new this.constructor(this.relativePositions, this._imgDims, new Point(x, y));
- };
- FaceLandmarks.prototype.shiftByPoint = function (pt) {
- return this.shiftBy(pt.x, pt.y);
- };
- /**
- * Aligns the face landmarks after face detection from the relative positions of the faces
- * bounding box, or it's current shift. This function should be used to align the face images
- * after face detection has been performed, before they are passed to the face recognition net.
- * This will make the computed face descriptor more accurate.
- *
- * @param detection (optional) The bounding box of the face or the face detection result. If
- * no argument was passed the position of the face landmarks are assumed to be relative to
- * it's current shift.
- * @returns The bounding box of the aligned face.
- */
- FaceLandmarks.prototype.align = function (detection) {
- if (detection) {
- var box = detection instanceof FaceDetection
- ? detection.box.floor()
- : detection;
- return this.shiftBy(box.x, box.y).align();
- }
- var centers = this.getRefPointsForAlignment();
- var leftEyeCenter = centers[0], rightEyeCenter = centers[1], mouthCenter = centers[2];
- var distToMouth = function (pt) { return mouthCenter.sub(pt).magnitude(); };
- var eyeToMouthDist = (distToMouth(leftEyeCenter) + distToMouth(rightEyeCenter)) / 2;
- var size = Math.floor(eyeToMouthDist / relScale);
- var refPoint = getCenterPoint(centers);
- // TODO: pad in case rectangle is out of image bounds
- var x = Math.floor(Math.max(0, refPoint.x - (relX * size)));
- var y = Math.floor(Math.max(0, refPoint.y - (relY * size)));
- return new Rect(x, y, Math.min(size, this.imageWidth + x), Math.min(size, this.imageHeight + y));
- };
- FaceLandmarks.prototype.getRefPointsForAlignment = function () {
- throw new Error('getRefPointsForAlignment not implemented by base class');
- };
- return FaceLandmarks;
-}());
-export { FaceLandmarks };
-//# sourceMappingURL=FaceLandmarks.js.map
\ No newline at end of file
diff --git a/build/es6/classes/FaceLandmarks.js.map b/build/es6/classes/FaceLandmarks.js.map
deleted file mode 100644
index 73758b9c..00000000
--- a/build/es6/classes/FaceLandmarks.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"FaceLandmarks.js","sourceRoot":"","sources":["../../../src/classes/FaceLandmarks.ts"],"names":[],"mappings":"AAAA,OAAO,EAAE,UAAU,EAAE,cAAc,EAAe,KAAK,EAAE,IAAI,EAAE,MAAM,6BAA6B,CAAC;AAEnG,OAAO,EAAE,aAAa,EAAE,MAAM,iBAAiB,CAAC;AAEhD,2BAA2B;AAC3B,IAAM,IAAI,GAAG,GAAG,CAAA;AAChB,IAAM,IAAI,GAAG,IAAI,CAAA;AACjB,IAAM,QAAQ,GAAG,IAAI,CAAA;AAOrB;IAKE,uBACE,6BAAsC,EACtC,OAAoB,EACpB,KAA8B;QAA9B,sBAAA,EAAA,YAAmB,KAAK,CAAC,CAAC,EAAE,CAAC,CAAC;QAEtB,IAAA,qBAAK,EAAE,uBAAM,CAAY;QACjC,IAAI,CAAC,QAAQ,GAAG,IAAI,UAAU,CAAC,KAAK,EAAE,MAAM,CAAC,CAAA;QAC7C,IAAI,CAAC,MAAM,GAAG,KAAK,CAAA;QACnB,IAAI,CAAC,UAAU,GAAG,6BAA6B,CAAC,GAAG,CACjD,UAAA,EAAE,IAAI,OAAA,EAAE,CAAC,GAAG,CAAC,IAAI,KAAK,CAAC,KAAK,EAAE,MAAM,CAAC,CAAC,CAAC,GAAG,CAAC,KAAK,CAAC,EAA3C,CAA2C,CAClD,CAAA;IACH,CAAC;IAED,sBAAW,gCAAK;aAAhB,cAA4B,OAAO,IAAI,KAAK,CAAC,IAAI,CAAC,MAAM,CAAC,CAAC,EAAE,IAAI,CAAC,MAAM,CAAC,CAAC,CAAC,CAAA,CAAC,CAAC;;;OAAA;IAC5E,sBAAW,qCAAU;aAArB,cAAkC,OAAO,IAAI,CAAC,QAAQ,CAAC,KAAK,CAAA,CAAC,CAAC;;;OAAA;IAC9D,sBAAW,sCAAW;aAAtB,cAAmC,OAAO,IAAI,CAAC,QAAQ,CAAC,MAAM,CAAA,CAAC,CAAC;;;OAAA;IAChE,sBAAW,oCAAS;aAApB,cAAkC,OAAO,IAAI,CAAC,UAAU,CAAA,CAAC,CAAC;;;OAAA;IAC1D,sBAAW,4CAAiB;aAA5B;YAAA,iBAIC;YAHC,OAAO,IAAI,CAAC,UAAU,CAAC,GAAG,CACxB,UAAA,EAAE,IAAI,OAAA,EAAE,CAAC,GAAG,CAAC,KAAI,CAAC,MAAM,CAAC,CAAC,GAAG,CAAC,IAAI,KAAK,CAAC,KAAI,CAAC,UAAU,EAAE,KAAI,CAAC,WAAW,CAAC,CAAC,EAArE,CAAqE,CAC5E,CAAA;QACH,CAAC;;;OAAA;IAEM,+BAAO,GAAd,UAAwC,KAAa,EAAE,MAAc;QACnE,OAAO,IAAK,IAAI,CAAC,WAAmB,CAClC,IAAI,CAAC,iBAAiB,EACtB,EAAE,KAAK,OAAA,EAAE,MAAM,QAAA,EAAE,CAClB,CAAA;IACH,CAAC;IAEM,+BAAO,GAAd,UAAwC,CAAS,EAAE,CAAS;QAC1D,OAAO,IAAK,IAAI,CAAC,WAAmB,CAClC,IAAI,CAAC,iBAAiB,EACtB,IAAI,CAAC,QAAQ,EACb,IAAI,KAAK,CAAC,CAAC,EAAE,CAAC,CAAC,CAChB,CAAA;IACH,CAAC;IAEM,oCAAY,GAAnB,UAA6C,EAAS;QACpD,OAAO,IAAI,CAAC,OAAO,CAAC,EAAE,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAA;IACjC,CAAC;IAED;;;;;;;;;;OAUG;IACI,6BAAK,GAAZ,UACE,SAAgC;QAEhC,IAAI,SAAS,EAAE;YACb,IAAM,GAAG,GAAG,SAAS,YAAY,aAAa;gBAC5C,CAAC,CAAC,SAAS,CAAC,GAAG,CAAC,KAAK,EAAE;gBACvB,CAAC,CAAC,SAAS,CAAA;YAEb,OAAO,IAAI,CAAC,OAAO,CAAC,GAAG,CAAC,CAAC,EAAE,GAAG,CAAC,CAAC,CAAC,CAAC,KAAK,EAAE,CAAA;SAC1C;QAED,IAAM,OAAO,GAAG,IAAI,CAAC,wBAAwB,EAAE,CAAA;QAExC,IAAA,0BAAa,EAAE,2BAAc,EAAE,wBAAW,CAAW;QAC5D,IAAM,WAAW,GAAG,UAAC,EAAS,IAAK,OAAA,WAAW,CAAC,GAAG,CAAC,EAAE,CAAC,CAAC,SAAS,EAAE,EAA/B,CAA+B,CAAA;QAClE,IAAM,cAAc,GAAG,CAAC,WAAW,CAAC,aAAa,CAAC,GAAG,WAAW,CAAC,cAAc,CAAC,CAAC,GAAG,CAAC,CAAA;QAErF,IAAM,IAAI,GAAG,IAAI,CAAC,KAAK,CAAC,cAAc,GAAG,QAAQ,CAAC,CAAA;QAElD,IAAM,QAAQ,GAAG,cAAc,CAAC,OAAO,CAAC,CAAA;QACxC,qDAAqD;QACrD,IAAM,CAAC,GAAG,IAAI,CAAC,KAAK,CAAC,IAAI,CAAC,GAAG,CAAC,CAAC,EAAE,QAAQ,CAAC,CAAC,GAAG,CAAC,IAAI,GAAG,IAAI,CAAC,CAAC,CAAC,CAAA;QAC7D,IAAM,CAAC,GAAG,IAAI,CAAC,KAAK,CAAC,IAAI,CAAC,GAAG,CAAC,CAAC,EAAE,QAAQ,CAAC,CAAC,GAAG,CAAC,IAAI,GAAG,IAAI,CAAC,CAAC,CAAC,CAAA;QAE7D,OAAO,IAAI,IAAI,CAAC,CAAC,EAAE,CAAC,EAAE,IAAI,CAAC,GAAG,CAAC,IAAI,EAAE,IAAI,CAAC,UAAU,GAAG,CAAC,CAAC,EAAE,IAAI,CAAC,GAAG,CAAC,IAAI,EAAE,IAAI,CAAC,WAAW,GAAG,CAAC,CAAC,CAAC,CAAA;IAClG,CAAC;IAES,gDAAwB,GAAlC;QACE,MAAM,IAAI,KAAK,CAAC,wDAAwD,CAAC,CAAA;IAC3E,CAAC;IACH,oBAAC;AAAD,CAAC,AAxFD,IAwFC"}
\ No newline at end of file
diff --git a/build/es6/classes/FaceLandmarks5.d.ts b/build/es6/classes/FaceLandmarks5.d.ts
deleted file mode 100644
index 554ce2f1..00000000
--- a/build/es6/classes/FaceLandmarks5.d.ts
+++ /dev/null
@@ -1,5 +0,0 @@
-import { Point } from 'tfjs-image-recognition-base';
-import { FaceLandmarks } from './FaceLandmarks';
-export declare class FaceLandmarks5 extends FaceLandmarks {
- protected getRefPointsForAlignment(): Point[];
-}
diff --git a/build/es6/classes/FaceLandmarks5.js b/build/es6/classes/FaceLandmarks5.js
deleted file mode 100644
index 16b1a4e4..00000000
--- a/build/es6/classes/FaceLandmarks5.js
+++ /dev/null
@@ -1,20 +0,0 @@
-import * as tslib_1 from "tslib";
-import { getCenterPoint } from 'tfjs-image-recognition-base';
-import { FaceLandmarks } from './FaceLandmarks';
-var FaceLandmarks5 = /** @class */ (function (_super) {
- tslib_1.__extends(FaceLandmarks5, _super);
- function FaceLandmarks5() {
- return _super !== null && _super.apply(this, arguments) || this;
- }
- FaceLandmarks5.prototype.getRefPointsForAlignment = function () {
- var pts = this.positions;
- return [
- pts[0],
- pts[1],
- getCenterPoint([pts[3], pts[4]])
- ];
- };
- return FaceLandmarks5;
-}(FaceLandmarks));
-export { FaceLandmarks5 };
-//# sourceMappingURL=FaceLandmarks5.js.map
\ No newline at end of file
diff --git a/build/es6/classes/FaceLandmarks5.js.map b/build/es6/classes/FaceLandmarks5.js.map
deleted file mode 100644
index 062b0cb9..00000000
--- a/build/es6/classes/FaceLandmarks5.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"FaceLandmarks5.js","sourceRoot":"","sources":["../../../src/classes/FaceLandmarks5.ts"],"names":[],"mappings":";AAAA,OAAO,EAAE,cAAc,EAAS,MAAM,6BAA6B,CAAC;AAEpE,OAAO,EAAE,aAAa,EAAE,MAAM,iBAAiB,CAAC;AAEhD;IAAoC,0CAAa;IAAjD;;IAUA,CAAC;IARW,iDAAwB,GAAlC;QACE,IAAM,GAAG,GAAG,IAAI,CAAC,SAAS,CAAA;QAC1B,OAAO;YACL,GAAG,CAAC,CAAC,CAAC;YACN,GAAG,CAAC,CAAC,CAAC;YACN,cAAc,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,EAAE,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC;SACjC,CAAA;IACH,CAAC;IACH,qBAAC;AAAD,CAAC,AAVD,CAAoC,aAAa,GAUhD"}
\ No newline at end of file
diff --git a/build/es6/classes/FaceLandmarks68.d.ts b/build/es6/classes/FaceLandmarks68.d.ts
deleted file mode 100644
index 5ac3974e..00000000
--- a/build/es6/classes/FaceLandmarks68.d.ts
+++ /dev/null
@@ -1,12 +0,0 @@
-import { Point } from 'tfjs-image-recognition-base';
-import { FaceLandmarks } from '../classes/FaceLandmarks';
-export declare class FaceLandmarks68 extends FaceLandmarks {
- getJawOutline(): Point[];
- getLeftEyeBrow(): Point[];
- getRightEyeBrow(): Point[];
- getNose(): Point[];
- getLeftEye(): Point[];
- getRightEye(): Point[];
- getMouth(): Point[];
- protected getRefPointsForAlignment(): Point[];
-}
diff --git a/build/es6/classes/FaceLandmarks68.js b/build/es6/classes/FaceLandmarks68.js
deleted file mode 100644
index 4e81caf5..00000000
--- a/build/es6/classes/FaceLandmarks68.js
+++ /dev/null
@@ -1,40 +0,0 @@
-import * as tslib_1 from "tslib";
-import { getCenterPoint } from 'tfjs-image-recognition-base';
-import { FaceLandmarks } from '../classes/FaceLandmarks';
-var FaceLandmarks68 = /** @class */ (function (_super) {
- tslib_1.__extends(FaceLandmarks68, _super);
- function FaceLandmarks68() {
- return _super !== null && _super.apply(this, arguments) || this;
- }
- FaceLandmarks68.prototype.getJawOutline = function () {
- return this.positions.slice(0, 17);
- };
- FaceLandmarks68.prototype.getLeftEyeBrow = function () {
- return this.positions.slice(17, 22);
- };
- FaceLandmarks68.prototype.getRightEyeBrow = function () {
- return this.positions.slice(22, 27);
- };
- FaceLandmarks68.prototype.getNose = function () {
- return this.positions.slice(27, 36);
- };
- FaceLandmarks68.prototype.getLeftEye = function () {
- return this.positions.slice(36, 42);
- };
- FaceLandmarks68.prototype.getRightEye = function () {
- return this.positions.slice(42, 48);
- };
- FaceLandmarks68.prototype.getMouth = function () {
- return this.positions.slice(48, 68);
- };
- FaceLandmarks68.prototype.getRefPointsForAlignment = function () {
- return [
- this.getLeftEye(),
- this.getRightEye(),
- this.getMouth()
- ].map(getCenterPoint);
- };
- return FaceLandmarks68;
-}(FaceLandmarks));
-export { FaceLandmarks68 };
-//# sourceMappingURL=FaceLandmarks68.js.map
\ No newline at end of file
diff --git a/build/es6/classes/FaceLandmarks68.js.map b/build/es6/classes/FaceLandmarks68.js.map
deleted file mode 100644
index 4b2c8bf4..00000000
--- a/build/es6/classes/FaceLandmarks68.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"FaceLandmarks68.js","sourceRoot":"","sources":["../../../src/classes/FaceLandmarks68.ts"],"names":[],"mappings":";AAAA,OAAO,EAAE,cAAc,EAAS,MAAM,6BAA6B,CAAC;AAEpE,OAAO,EAAE,aAAa,EAAE,MAAM,0BAA0B,CAAC;AAEzD;IAAqC,2CAAa;IAAlD;;IAoCA,CAAC;IAnCQ,uCAAa,GAApB;QACE,OAAO,IAAI,CAAC,SAAS,CAAC,KAAK,CAAC,CAAC,EAAE,EAAE,CAAC,CAAA;IACpC,CAAC;IAEM,wCAAc,GAArB;QACE,OAAO,IAAI,CAAC,SAAS,CAAC,KAAK,CAAC,EAAE,EAAE,EAAE,CAAC,CAAA;IACrC,CAAC;IAEM,yCAAe,GAAtB;QACE,OAAO,IAAI,CAAC,SAAS,CAAC,KAAK,CAAC,EAAE,EAAE,EAAE,CAAC,CAAA;IACrC,CAAC;IAEM,iCAAO,GAAd;QACE,OAAO,IAAI,CAAC,SAAS,CAAC,KAAK,CAAC,EAAE,EAAE,EAAE,CAAC,CAAA;IACrC,CAAC;IAEM,oCAAU,GAAjB;QACE,OAAO,IAAI,CAAC,SAAS,CAAC,KAAK,CAAC,EAAE,EAAE,EAAE,CAAC,CAAA;IACrC,CAAC;IAEM,qCAAW,GAAlB;QACE,OAAO,IAAI,CAAC,SAAS,CAAC,KAAK,CAAC,EAAE,EAAE,EAAE,CAAC,CAAA;IACrC,CAAC;IAEM,kCAAQ,GAAf;QACE,OAAO,IAAI,CAAC,SAAS,CAAC,KAAK,CAAC,EAAE,EAAE,EAAE,CAAC,CAAA;IACrC,CAAC;IAES,kDAAwB,GAAlC;QACE,OAAO;YACL,IAAI,CAAC,UAAU,EAAE;YACjB,IAAI,CAAC,WAAW,EAAE;YAClB,IAAI,CAAC,QAAQ,EAAE;SAChB,CAAC,GAAG,CAAC,cAAc,CAAC,CAAA;IACvB,CAAC;IACH,sBAAC;AAAD,CAAC,AApCD,CAAqC,aAAa,GAoCjD"}
\ No newline at end of file
diff --git a/build/es6/classes/FaceMatch.d.ts b/build/es6/classes/FaceMatch.d.ts
deleted file mode 100644
index 3c0befef..00000000
--- a/build/es6/classes/FaceMatch.d.ts
+++ /dev/null
@@ -1,12 +0,0 @@
-export interface IFaceMatch {
- label: string;
- distance: number;
-}
-export declare class FaceMatch implements IFaceMatch {
- private _label;
- private _distance;
- constructor(label: string, distance: number);
- readonly label: string;
- readonly distance: number;
- toString(withDistance?: boolean): string;
-}
diff --git a/build/es6/classes/FaceMatch.js b/build/es6/classes/FaceMatch.js
deleted file mode 100644
index 525568b1..00000000
--- a/build/es6/classes/FaceMatch.js
+++ /dev/null
@@ -1,24 +0,0 @@
-import { round } from 'tfjs-image-recognition-base';
-var FaceMatch = /** @class */ (function () {
- function FaceMatch(label, distance) {
- this._label = label;
- this._distance = distance;
- }
- Object.defineProperty(FaceMatch.prototype, "label", {
- get: function () { return this._label; },
- enumerable: true,
- configurable: true
- });
- Object.defineProperty(FaceMatch.prototype, "distance", {
- get: function () { return this._distance; },
- enumerable: true,
- configurable: true
- });
- FaceMatch.prototype.toString = function (withDistance) {
- if (withDistance === void 0) { withDistance = true; }
- return "" + this.label + (withDistance ? " (" + round(this.distance) + ")" : '');
- };
- return FaceMatch;
-}());
-export { FaceMatch };
-//# sourceMappingURL=FaceMatch.js.map
\ No newline at end of file
diff --git a/build/es6/classes/FaceMatch.js.map b/build/es6/classes/FaceMatch.js.map
deleted file mode 100644
index 0ca7ed77..00000000
--- a/build/es6/classes/FaceMatch.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"FaceMatch.js","sourceRoot":"","sources":["../../../src/classes/FaceMatch.ts"],"names":[],"mappings":"AAAA,OAAO,EAAE,KAAK,EAAE,MAAM,6BAA6B,CAAC;AAOpD;IAIE,mBAAY,KAAa,EAAE,QAAgB;QACzC,IAAI,CAAC,MAAM,GAAG,KAAK,CAAA;QACnB,IAAI,CAAC,SAAS,GAAG,QAAQ,CAAA;IAC3B,CAAC;IAED,sBAAW,4BAAK;aAAhB,cAA6B,OAAO,IAAI,CAAC,MAAM,CAAA,CAAC,CAAC;;;OAAA;IACjD,sBAAW,+BAAQ;aAAnB,cAAgC,OAAO,IAAI,CAAC,SAAS,CAAA,CAAC,CAAC;;;OAAA;IAEhD,4BAAQ,GAAf,UAAgB,YAA4B;QAA5B,6BAAA,EAAA,mBAA4B;QAC1C,OAAO,KAAG,IAAI,CAAC,KAAK,IAAG,YAAY,CAAC,CAAC,CAAC,OAAK,KAAK,CAAC,IAAI,CAAC,QAAQ,CAAC,MAAG,CAAC,CAAC,CAAC,EAAE,CAAE,CAAA;IAC3E,CAAC;IACH,gBAAC;AAAD,CAAC,AAfD,IAeC"}
\ No newline at end of file
diff --git a/build/es6/classes/LabeledFaceDescriptors.d.ts b/build/es6/classes/LabeledFaceDescriptors.d.ts
deleted file mode 100644
index feb5da06..00000000
--- a/build/es6/classes/LabeledFaceDescriptors.d.ts
+++ /dev/null
@@ -1,7 +0,0 @@
-export declare class LabeledFaceDescriptors {
- private _label;
- private _descriptors;
- constructor(label: string, descriptors: Float32Array[]);
- readonly label: string;
- readonly descriptors: Float32Array[];
-}
diff --git a/build/es6/classes/LabeledFaceDescriptors.js b/build/es6/classes/LabeledFaceDescriptors.js
deleted file mode 100644
index cb23a2b1..00000000
--- a/build/es6/classes/LabeledFaceDescriptors.js
+++ /dev/null
@@ -1,25 +0,0 @@
-var LabeledFaceDescriptors = /** @class */ (function () {
- function LabeledFaceDescriptors(label, descriptors) {
- if (!(typeof label === 'string')) {
- throw new Error('LabeledFaceDescriptors - constructor expected label to be a string');
- }
- if (!Array.isArray(descriptors) || descriptors.some(function (desc) { return !(desc instanceof Float32Array); })) {
- throw new Error('LabeledFaceDescriptors - constructor expected descriptors to be an array of Float32Array');
- }
- this._label = label;
- this._descriptors = descriptors;
- }
- Object.defineProperty(LabeledFaceDescriptors.prototype, "label", {
- get: function () { return this._label; },
- enumerable: true,
- configurable: true
- });
- Object.defineProperty(LabeledFaceDescriptors.prototype, "descriptors", {
- get: function () { return this._descriptors; },
- enumerable: true,
- configurable: true
- });
- return LabeledFaceDescriptors;
-}());
-export { LabeledFaceDescriptors };
-//# sourceMappingURL=LabeledFaceDescriptors.js.map
\ No newline at end of file
diff --git a/build/es6/classes/LabeledFaceDescriptors.js.map b/build/es6/classes/LabeledFaceDescriptors.js.map
deleted file mode 100644
index c19354f0..00000000
--- a/build/es6/classes/LabeledFaceDescriptors.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"LabeledFaceDescriptors.js","sourceRoot":"","sources":["../../../src/classes/LabeledFaceDescriptors.ts"],"names":[],"mappings":"AAAA;IAIE,gCAAY,KAAa,EAAE,WAA2B;QACpD,IAAI,CAAC,CAAC,OAAO,KAAK,KAAK,QAAQ,CAAC,EAAE;YAChC,MAAM,IAAI,KAAK,CAAC,oEAAoE,CAAC,CAAA;SACtF;QAED,IAAI,CAAC,KAAK,CAAC,OAAO,CAAC,WAAW,CAAC,IAAI,WAAW,CAAC,IAAI,CAAC,UAAA,IAAI,IAAI,OAAA,CAAC,CAAC,IAAI,YAAY,YAAY,CAAC,EAA/B,CAA+B,CAAC,EAAE;YAC5F,MAAM,IAAI,KAAK,CAAC,0FAA0F,CAAC,CAAA;SAC5G;QAED,IAAI,CAAC,MAAM,GAAG,KAAK,CAAA;QACnB,IAAI,CAAC,YAAY,GAAG,WAAW,CAAA;IACjC,CAAC;IAED,sBAAW,yCAAK;aAAhB,cAA6B,OAAO,IAAI,CAAC,MAAM,CAAA,CAAC,CAAC;;;OAAA;IACjD,sBAAW,+CAAW;aAAtB,cAA2C,OAAO,IAAI,CAAC,YAAY,CAAA,CAAC,CAAC;;;OAAA;IACvE,6BAAC;AAAD,CAAC,AAnBD,IAmBC"}
\ No newline at end of file
diff --git a/build/es6/classes/index.d.ts b/build/es6/classes/index.d.ts
deleted file mode 100644
index 8d1b8ffe..00000000
--- a/build/es6/classes/index.d.ts
+++ /dev/null
@@ -1,6 +0,0 @@
-export * from './FaceDetection';
-export * from './FaceLandmarks';
-export * from './FaceLandmarks5';
-export * from './FaceLandmarks68';
-export * from './FaceMatch';
-export * from './LabeledFaceDescriptors';
diff --git a/build/es6/classes/index.js b/build/es6/classes/index.js
deleted file mode 100644
index d7e67f86..00000000
--- a/build/es6/classes/index.js
+++ /dev/null
@@ -1,7 +0,0 @@
-export * from './FaceDetection';
-export * from './FaceLandmarks';
-export * from './FaceLandmarks5';
-export * from './FaceLandmarks68';
-export * from './FaceMatch';
-export * from './LabeledFaceDescriptors';
-//# sourceMappingURL=index.js.map
\ No newline at end of file
diff --git a/build/es6/classes/index.js.map b/build/es6/classes/index.js.map
deleted file mode 100644
index 958aac03..00000000
--- a/build/es6/classes/index.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"index.js","sourceRoot":"","sources":["../../../src/classes/index.ts"],"names":[],"mappings":"AAAA,cAAc,iBAAiB,CAAC;AAChC,cAAc,iBAAiB,CAAC;AAChC,cAAc,kBAAkB,CAAC;AACjC,cAAc,mBAAmB,CAAC;AAClC,cAAc,aAAa,CAAC;AAC5B,cAAc,0BAA0B,CAAC"}
\ No newline at end of file
diff --git a/build/es6/common/fullyConnectedLayer.d.ts b/build/es6/common/fullyConnectedLayer.d.ts
deleted file mode 100644
index baf23083..00000000
--- a/build/es6/common/fullyConnectedLayer.d.ts
+++ /dev/null
@@ -1,3 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-export declare function fullyConnectedLayer(x: tf.Tensor2D, params: TfjsImageRecognitionBase.FCParams): tf.Tensor2D;
diff --git a/build/es6/common/fullyConnectedLayer.js b/build/es6/common/fullyConnectedLayer.js
deleted file mode 100644
index 1bf3c127..00000000
--- a/build/es6/common/fullyConnectedLayer.js
+++ /dev/null
@@ -1,7 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-export function fullyConnectedLayer(x, params) {
- return tf.tidy(function () {
- return tf.add(tf.matMul(x, params.weights), params.bias);
- });
-}
-//# sourceMappingURL=fullyConnectedLayer.js.map
\ No newline at end of file
diff --git a/build/es6/common/fullyConnectedLayer.js.map b/build/es6/common/fullyConnectedLayer.js.map
deleted file mode 100644
index 45c7b43b..00000000
--- a/build/es6/common/fullyConnectedLayer.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"fullyConnectedLayer.js","sourceRoot":"","sources":["../../../src/common/fullyConnectedLayer.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAG5C,MAAM,UAAU,mBAAmB,CACjC,CAAc,EACd,MAAyC;IAEzC,OAAO,EAAE,CAAC,IAAI,CAAC;QACb,OAAA,EAAE,CAAC,GAAG,CACJ,EAAE,CAAC,MAAM,CAAC,CAAC,EAAE,MAAM,CAAC,OAAO,CAAC,EAC5B,MAAM,CAAC,IAAI,CACZ;IAHD,CAGC,CACF,CAAA;AACH,CAAC"}
\ No newline at end of file
diff --git a/build/es6/dom/drawContour.d.ts b/build/es6/dom/drawContour.d.ts
deleted file mode 100644
index 78664e6b..00000000
--- a/build/es6/dom/drawContour.d.ts
+++ /dev/null
@@ -1,2 +0,0 @@
-import { Point } from 'tfjs-image-recognition-base';
-export declare function drawContour(ctx: CanvasRenderingContext2D, points: Point[], isClosed?: boolean): void;
diff --git a/build/es6/dom/drawContour.js b/build/es6/dom/drawContour.js
deleted file mode 100644
index 30ec264d..00000000
--- a/build/es6/dom/drawContour.js
+++ /dev/null
@@ -1,21 +0,0 @@
-export function drawContour(ctx, points, isClosed) {
- if (isClosed === void 0) { isClosed = false; }
- ctx.beginPath();
- points.slice(1).forEach(function (_a, prevIdx) {
- var x = _a.x, y = _a.y;
- var from = points[prevIdx];
- ctx.moveTo(from.x, from.y);
- ctx.lineTo(x, y);
- });
- if (isClosed) {
- var from = points[points.length - 1];
- var to = points[0];
- if (!from || !to) {
- return;
- }
- ctx.moveTo(from.x, from.y);
- ctx.lineTo(to.x, to.y);
- }
- ctx.stroke();
-}
-//# sourceMappingURL=drawContour.js.map
\ No newline at end of file
diff --git a/build/es6/dom/drawContour.js.map b/build/es6/dom/drawContour.js.map
deleted file mode 100644
index 427fed11..00000000
--- a/build/es6/dom/drawContour.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"drawContour.js","sourceRoot":"","sources":["../../../src/dom/drawContour.ts"],"names":[],"mappings":"AAEA,MAAM,UAAU,WAAW,CACzB,GAA6B,EAC7B,MAAe,EACf,QAAyB;IAAzB,yBAAA,EAAA,gBAAyB;IAEzB,GAAG,CAAC,SAAS,EAAE,CAAA;IAEf,MAAM,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,OAAO,CAAC,UAAC,EAAQ,EAAE,OAAO;YAAf,QAAC,EAAE,QAAC;QAC7B,IAAM,IAAI,GAAG,MAAM,CAAC,OAAO,CAAC,CAAA;QAC5B,GAAG,CAAC,MAAM,CAAC,IAAI,CAAC,CAAC,EAAE,IAAI,CAAC,CAAC,CAAC,CAAA;QAC1B,GAAG,CAAC,MAAM,CAAC,CAAC,EAAE,CAAC,CAAC,CAAA;IAClB,CAAC,CAAC,CAAA;IAEF,IAAI,QAAQ,EAAE;QACZ,IAAM,IAAI,GAAG,MAAM,CAAC,MAAM,CAAC,MAAM,GAAG,CAAC,CAAC,CAAA;QACtC,IAAM,EAAE,GAAG,MAAM,CAAC,CAAC,CAAC,CAAA;QACpB,IAAI,CAAC,IAAI,IAAI,CAAC,EAAE,EAAE;YAChB,OAAM;SACP;QAED,GAAG,CAAC,MAAM,CAAC,IAAI,CAAC,CAAC,EAAE,IAAI,CAAC,CAAC,CAAC,CAAA;QAC1B,GAAG,CAAC,MAAM,CAAC,EAAE,CAAC,CAAC,EAAE,EAAE,CAAC,CAAC,CAAC,CAAA;KACvB;IAED,GAAG,CAAC,MAAM,EAAE,CAAA;AACd,CAAC"}
\ No newline at end of file
diff --git a/build/es6/dom/drawFaceExpressions.d.ts b/build/es6/dom/drawFaceExpressions.d.ts
deleted file mode 100644
index 50eaee66..00000000
--- a/build/es6/dom/drawFaceExpressions.d.ts
+++ /dev/null
@@ -1,2 +0,0 @@
-import { DrawFaceExpressionsInput, DrawFaceExpressionsOptions } from './types';
-export declare function drawFaceExpressions(canvasArg: string | HTMLCanvasElement, faceExpressions: DrawFaceExpressionsInput | DrawFaceExpressionsInput[], options?: DrawFaceExpressionsOptions): void;
diff --git a/build/es6/dom/drawFaceExpressions.js b/build/es6/dom/drawFaceExpressions.js
deleted file mode 100644
index 432fe4c2..00000000
--- a/build/es6/dom/drawFaceExpressions.js
+++ /dev/null
@@ -1,31 +0,0 @@
-import { drawText, env, getContext2dOrThrow, getDefaultDrawOptions, resolveInput, round } from 'tfjs-image-recognition-base';
-export function drawFaceExpressions(canvasArg, faceExpressions, options) {
- var canvas = resolveInput(canvasArg);
- if (!(canvas instanceof env.getEnv().Canvas)) {
- throw new Error('drawFaceExpressions - expected canvas to be of type: HTMLCanvasElement');
- }
- var drawOptions = Object.assign(getDefaultDrawOptions(options), (options || {}));
- var ctx = getContext2dOrThrow(canvas);
- var _a = drawOptions.primaryColor, primaryColor = _a === void 0 ? 'red' : _a, _b = drawOptions.secondaryColor, secondaryColor = _b === void 0 ? 'blue' : _b, _c = drawOptions.primaryFontSize, primaryFontSize = _c === void 0 ? 22 : _c, _d = drawOptions.secondaryFontSize, secondaryFontSize = _d === void 0 ? 16 : _d, _e = drawOptions.minConfidence, minConfidence = _e === void 0 ? 0.2 : _e;
- var faceExpressionsArray = Array.isArray(faceExpressions)
- ? faceExpressions
- : [faceExpressions];
- faceExpressionsArray.forEach(function (_a) {
- var position = _a.position, expressions = _a.expressions;
- var x = position.x, y = position.y;
- var height = position.height || 0;
- var sorted = expressions.sort(function (a, b) { return b.probability - a.probability; });
- var resultsToDisplay = sorted.filter(function (expr) { return expr.probability > minConfidence; });
- var offset = (y + height + resultsToDisplay.length * primaryFontSize) > canvas.height
- ? -(resultsToDisplay.length * primaryFontSize)
- : 0;
- resultsToDisplay.forEach(function (expr, i) {
- var text = expr.expression + " (" + round(expr.probability) + ")";
- drawText(ctx, x, y + height + (i * primaryFontSize) + offset, text, {
- textColor: i === 0 ? primaryColor : secondaryColor,
- fontSize: i === 0 ? primaryFontSize : secondaryFontSize
- });
- });
- });
-}
-//# sourceMappingURL=drawFaceExpressions.js.map
\ No newline at end of file
diff --git a/build/es6/dom/drawFaceExpressions.js.map b/build/es6/dom/drawFaceExpressions.js.map
deleted file mode 100644
index 4cf9d2d6..00000000
--- a/build/es6/dom/drawFaceExpressions.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"drawFaceExpressions.js","sourceRoot":"","sources":["../../../src/dom/drawFaceExpressions.ts"],"names":[],"mappings":"AAAA,OAAO,EAAE,QAAQ,EAAE,GAAG,EAAE,mBAAmB,EAAE,qBAAqB,EAAE,YAAY,EAAE,KAAK,EAAE,MAAM,6BAA6B,CAAC;AAK7H,MAAM,UAAU,mBAAmB,CACjC,SAAqC,EACrC,eAAsE,EACtE,OAAoC;IAEpC,IAAM,MAAM,GAAG,YAAY,CAAC,SAAS,CAAC,CAAA;IACtC,IAAI,CAAC,CAAC,MAAM,YAAY,GAAG,CAAC,MAAM,EAAE,CAAC,MAAM,CAAC,EAAE;QAC5C,MAAM,IAAI,KAAK,CAAC,wEAAwE,CAAC,CAAA;KAC1F;IAED,IAAM,WAAW,GAAG,MAAM,CAAC,MAAM,CAC/B,qBAAqB,CAAC,OAAO,CAAC,EAC9B,CAAC,OAAO,IAAI,EAAE,CAAC,CAChB,CAAA;IAED,IAAM,GAAG,GAAG,mBAAmB,CAAC,MAAM,CAAC,CAAA;IAErC,IAAA,6BAAoB,EAApB,yCAAoB,EACpB,+BAAuB,EAAvB,4CAAuB,EACvB,gCAAoB,EAApB,yCAAoB,EACpB,kCAAsB,EAAtB,2CAAsB,EACtB,8BAAmB,EAAnB,wCAAmB,CACN;IAEf,IAAM,oBAAoB,GAAG,KAAK,CAAC,OAAO,CAAC,eAAe,CAAC;QACzD,CAAC,CAAC,eAAe;QACjB,CAAC,CAAC,CAAC,eAAe,CAAC,CAAA;IAErB,oBAAoB,CAAC,OAAO,CAAC,UAAC,EAAyB;YAAvB,sBAAQ,EAAE,4BAAW;QAC3C,IAAA,cAAC,EAAE,cAAC,CAAa;QACzB,IAAM,MAAM,GAAI,QAAkB,CAAC,MAAM,IAAI,CAAC,CAAA;QAC9C,IAAM,MAAM,GAAG,WAAW,CAAC,IAAI,CAAC,UAAC,CAAC,EAAE,CAAC,IAAK,OAAA,CAAC,CAAC,WAAW,GAAG,CAAC,CAAC,WAAW,EAA7B,CAA6B,CAAC,CAAA;QACxE,IAAM,gBAAgB,GAAG,MAAM,CAAC,MAAM,CAAC,UAAA,IAAI,IAAI,OAAA,IAAI,CAAC,WAAW,GAAG,aAAa,EAAhC,CAAgC,CAAC,CAAA;QAEhF,IAAI,MAAM,GAAG,CAAC,CAAC,GAAG,MAAM,GAAG,gBAAgB,CAAC,MAAM,GAAG,eAAe,CAAC,GAAG,MAAM,CAAC,MAAM;YACnF,CAAC,CAAC,CAAC,CAAC,gBAAgB,CAAC,MAAM,GAAG,eAAe,CAAC;YAC9C,CAAC,CAAC,CAAC,CAAA;QACL,gBAAgB,CAAC,OAAO,CAAC,UAAC,IAAI,EAAE,CAAC;YAC/B,IAAM,IAAI,GAAM,IAAI,CAAC,UAAU,UAAK,KAAK,CAAC,IAAI,CAAC,WAAW,CAAC,MAAG,CAAA;YAC9D,QAAQ,CACN,GAAG,EACH,CAAC,EACD,CAAC,GAAG,MAAM,GAAG,CAAC,CAAC,GAAG,eAAe,CAAC,GAAG,MAAM,EAC3C,IAAI,EACJ;gBACE,SAAS,EAAE,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,YAAY,CAAC,CAAC,CAAC,cAAc;gBAClD,QAAQ,EAAE,CAAC,KAAK,CAAC,CAAC,CAAC,CAAC,eAAe,CAAC,CAAC,CAAC,iBAAiB;aACxD,CACF,CAAA;QACH,CAAC,CAAC,CAAA;IACJ,CAAC,CAAC,CAAA;AAGJ,CAAC"}
\ No newline at end of file
diff --git a/build/es6/dom/drawLandmarks.d.ts b/build/es6/dom/drawLandmarks.d.ts
deleted file mode 100644
index 4a372873..00000000
--- a/build/es6/dom/drawLandmarks.d.ts
+++ /dev/null
@@ -1,3 +0,0 @@
-import { FaceLandmarks } from '../classes/FaceLandmarks';
-import { DrawLandmarksOptions } from './types';
-export declare function drawLandmarks(canvasArg: string | HTMLCanvasElement, faceLandmarks: FaceLandmarks | FaceLandmarks[], options?: DrawLandmarksOptions): void;
diff --git a/build/es6/dom/drawLandmarks.js b/build/es6/dom/drawLandmarks.js
deleted file mode 100644
index d8579c0b..00000000
--- a/build/es6/dom/drawLandmarks.js
+++ /dev/null
@@ -1,33 +0,0 @@
-import { env, getContext2dOrThrow, getDefaultDrawOptions, resolveInput } from 'tfjs-image-recognition-base';
-import { FaceLandmarks68 } from '../classes/FaceLandmarks68';
-import { drawContour } from './drawContour';
-export function drawLandmarks(canvasArg, faceLandmarks, options) {
- var canvas = resolveInput(canvasArg);
- if (!(canvas instanceof env.getEnv().Canvas)) {
- throw new Error('drawLandmarks - expected canvas to be of type: HTMLCanvasElement');
- }
- var drawOptions = Object.assign(getDefaultDrawOptions(options), (options || {}));
- var drawLines = Object.assign({ drawLines: false }, (options || {})).drawLines;
- var ctx = getContext2dOrThrow(canvas);
- var lineWidth = drawOptions.lineWidth, _a = drawOptions.color, color = _a === void 0 ? 'blue' : _a;
- var faceLandmarksArray = Array.isArray(faceLandmarks) ? faceLandmarks : [faceLandmarks];
- faceLandmarksArray.forEach(function (landmarks) {
- if (drawLines && landmarks instanceof FaceLandmarks68) {
- ctx.strokeStyle = color;
- ctx.lineWidth = lineWidth;
- drawContour(ctx, landmarks.getJawOutline());
- drawContour(ctx, landmarks.getLeftEyeBrow());
- drawContour(ctx, landmarks.getRightEyeBrow());
- drawContour(ctx, landmarks.getNose());
- drawContour(ctx, landmarks.getLeftEye(), true);
- drawContour(ctx, landmarks.getRightEye(), true);
- drawContour(ctx, landmarks.getMouth(), true);
- return;
- }
- // else draw points
- var ptOffset = lineWidth / 2;
- ctx.fillStyle = color;
- landmarks.positions.forEach(function (pt) { return ctx.fillRect(pt.x - ptOffset, pt.y - ptOffset, lineWidth, lineWidth); });
- });
-}
-//# sourceMappingURL=drawLandmarks.js.map
\ No newline at end of file
diff --git a/build/es6/dom/drawLandmarks.js.map b/build/es6/dom/drawLandmarks.js.map
deleted file mode 100644
index 055f595e..00000000
--- a/build/es6/dom/drawLandmarks.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"drawLandmarks.js","sourceRoot":"","sources":["../../../src/dom/drawLandmarks.ts"],"names":[],"mappings":"AAAA,OAAO,EAAE,GAAG,EAAE,mBAAmB,EAAE,qBAAqB,EAAE,YAAY,EAAE,MAAM,6BAA6B,CAAC;AAG5G,OAAO,EAAE,eAAe,EAAE,MAAM,4BAA4B,CAAC;AAC7D,OAAO,EAAE,WAAW,EAAE,MAAM,eAAe,CAAC;AAG5C,MAAM,UAAU,aAAa,CAC3B,SAAqC,EACrC,aAA8C,EAC9C,OAA8B;IAE9B,IAAM,MAAM,GAAG,YAAY,CAAC,SAAS,CAAC,CAAA;IACtC,IAAI,CAAC,CAAC,MAAM,YAAY,GAAG,CAAC,MAAM,EAAE,CAAC,MAAM,CAAC,EAAE;QAC5C,MAAM,IAAI,KAAK,CAAC,kEAAkE,CAAC,CAAA;KACpF;IAED,IAAM,WAAW,GAAG,MAAM,CAAC,MAAM,CAC/B,qBAAqB,CAAC,OAAO,CAAC,EAC9B,CAAC,OAAO,IAAI,EAAE,CAAC,CAChB,CAAA;IAEO,IAAA,0EAAS,CAAyD;IAE1E,IAAM,GAAG,GAAG,mBAAmB,CAAC,MAAM,CAAC,CAAA;IAC/B,IAAA,iCAAS,EAAE,sBAAc,EAAd,mCAAc,CAAgB;IAEjD,IAAM,kBAAkB,GAAG,KAAK,CAAC,OAAO,CAAC,aAAa,CAAC,CAAC,CAAC,CAAC,aAAa,CAAC,CAAC,CAAC,CAAC,aAAa,CAAC,CAAA;IAEzF,kBAAkB,CAAC,OAAO,CAAC,UAAA,SAAS;QAClC,IAAI,SAAS,IAAI,SAAS,YAAY,eAAe,EAAE;YACrD,GAAG,CAAC,WAAW,GAAG,KAAK,CAAA;YACvB,GAAG,CAAC,SAAS,GAAG,SAAS,CAAA;YACzB,WAAW,CAAC,GAAG,EAAE,SAAS,CAAC,aAAa,EAAE,CAAC,CAAA;YAC3C,WAAW,CAAC,GAAG,EAAE,SAAS,CAAC,cAAc,EAAE,CAAC,CAAA;YAC5C,WAAW,CAAC,GAAG,EAAE,SAAS,CAAC,eAAe,EAAE,CAAC,CAAA;YAC7C,WAAW,CAAC,GAAG,EAAE,SAAS,CAAC,OAAO,EAAE,CAAC,CAAA;YACrC,WAAW,CAAC,GAAG,EAAE,SAAS,CAAC,UAAU,EAAE,EAAE,IAAI,CAAC,CAAA;YAC9C,WAAW,CAAC,GAAG,EAAE,SAAS,CAAC,WAAW,EAAE,EAAE,IAAI,CAAC,CAAA;YAC/C,WAAW,CAAC,GAAG,EAAE,SAAS,CAAC,QAAQ,EAAE,EAAE,IAAI,CAAC,CAAA;YAC5C,OAAM;SACP;QAED,mBAAmB;QACnB,IAAM,QAAQ,GAAG,SAAS,GAAG,CAAC,CAAA;QAC9B,GAAG,CAAC,SAAS,GAAG,KAAK,CAAA;QACrB,SAAS,CAAC,SAAS,CAAC,OAAO,CAAC,UAAA,EAAE,IAAI,OAAA,GAAG,CAAC,QAAQ,CAAC,EAAE,CAAC,CAAC,GAAG,QAAQ,EAAE,EAAE,CAAC,CAAC,GAAG,QAAQ,EAAE,SAAS,EAAE,SAAS,CAAC,EAApE,CAAoE,CAAC,CAAA;IACzG,CAAC,CAAC,CAAA;AACJ,CAAC"}
\ No newline at end of file
diff --git a/build/es6/dom/extractFaceTensors.d.ts b/build/es6/dom/extractFaceTensors.d.ts
deleted file mode 100644
index 429ea46e..00000000
--- a/build/es6/dom/extractFaceTensors.d.ts
+++ /dev/null
@@ -1,14 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { Rect } from 'tfjs-image-recognition-base';
-import { FaceDetection } from '../classes/FaceDetection';
-/**
- * Extracts the tensors of the image regions containing the detected faces.
- * Useful if you want to compute the face descriptors for the face images.
- * Using this method is faster then extracting a canvas for each face and
- * converting them to tensors individually.
- *
- * @param imageTensor The image tensor that face detection has been performed on.
- * @param detections The face detection results or face bounding boxes for that image.
- * @returns Tensors of the corresponding image region for each detected face.
- */
-export declare function extractFaceTensors(imageTensor: tf.Tensor3D | tf.Tensor4D, detections: Array): Promise;
diff --git a/build/es6/dom/extractFaceTensors.js b/build/es6/dom/extractFaceTensors.js
deleted file mode 100644
index 621b83a3..00000000
--- a/build/es6/dom/extractFaceTensors.js
+++ /dev/null
@@ -1,39 +0,0 @@
-import * as tslib_1 from "tslib";
-import * as tf from '@tensorflow/tfjs-core';
-import { isTensor4D, isTensor3D } from 'tfjs-image-recognition-base';
-import { FaceDetection } from '../classes/FaceDetection';
-/**
- * Extracts the tensors of the image regions containing the detected faces.
- * Useful if you want to compute the face descriptors for the face images.
- * Using this method is faster then extracting a canvas for each face and
- * converting them to tensors individually.
- *
- * @param imageTensor The image tensor that face detection has been performed on.
- * @param detections The face detection results or face bounding boxes for that image.
- * @returns Tensors of the corresponding image region for each detected face.
- */
-export function extractFaceTensors(imageTensor, detections) {
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- return tslib_1.__generator(this, function (_a) {
- if (!isTensor3D(imageTensor) && !isTensor4D(imageTensor)) {
- throw new Error('extractFaceTensors - expected image tensor to be 3D or 4D');
- }
- if (isTensor4D(imageTensor) && imageTensor.shape[0] > 1) {
- throw new Error('extractFaceTensors - batchSize > 1 not supported');
- }
- return [2 /*return*/, tf.tidy(function () {
- var _a = imageTensor.shape.slice(isTensor4D(imageTensor) ? 1 : 0), imgHeight = _a[0], imgWidth = _a[1], numChannels = _a[2];
- var boxes = detections.map(function (det) { return det instanceof FaceDetection
- ? det.forSize(imgWidth, imgHeight).box
- : det; })
- .map(function (box) { return box.clipAtImageBorders(imgWidth, imgHeight); });
- var faceTensors = boxes.map(function (_a) {
- var x = _a.x, y = _a.y, width = _a.width, height = _a.height;
- return tf.slice3d(imageTensor.as3D(imgHeight, imgWidth, numChannels), [y, x, 0], [height, width, numChannels]);
- });
- return faceTensors;
- })];
- });
- });
-}
-//# sourceMappingURL=extractFaceTensors.js.map
\ No newline at end of file
diff --git a/build/es6/dom/extractFaceTensors.js.map b/build/es6/dom/extractFaceTensors.js.map
deleted file mode 100644
index 5f9d5647..00000000
--- a/build/es6/dom/extractFaceTensors.js.map
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/build/es6/dom/extractFaces.d.ts b/build/es6/dom/extractFaces.d.ts
deleted file mode 100644
index d7bf0e60..00000000
--- a/build/es6/dom/extractFaces.d.ts
+++ /dev/null
@@ -1,10 +0,0 @@
-import { Rect, TNetInput } from 'tfjs-image-recognition-base';
-import { FaceDetection } from '../classes/FaceDetection';
-/**
- * Extracts the image regions containing the detected faces.
- *
- * @param input The image that face detection has been performed on.
- * @param detections The face detection results or face bounding boxes for that image.
- * @returns The Canvases of the corresponding image region for each detected face.
- */
-export declare function extractFaces(input: TNetInput, detections: Array): Promise;
diff --git a/build/es6/dom/extractFaces.js b/build/es6/dom/extractFaces.js
deleted file mode 100644
index 49dc59f0..00000000
--- a/build/es6/dom/extractFaces.js
+++ /dev/null
@@ -1,54 +0,0 @@
-import * as tslib_1 from "tslib";
-import { createCanvas, env, getContext2dOrThrow, imageTensorToCanvas, toNetInput, } from 'tfjs-image-recognition-base';
-import { FaceDetection } from '../classes/FaceDetection';
-/**
- * Extracts the image regions containing the detected faces.
- *
- * @param input The image that face detection has been performed on.
- * @param detections The face detection results or face bounding boxes for that image.
- * @returns The Canvases of the corresponding image region for each detected face.
- */
-export function extractFaces(input, detections) {
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- var Canvas, canvas, netInput, tensorOrCanvas, _a, ctx, boxes;
- return tslib_1.__generator(this, function (_b) {
- switch (_b.label) {
- case 0:
- Canvas = env.getEnv().Canvas;
- canvas = input;
- if (!!(input instanceof Canvas)) return [3 /*break*/, 5];
- return [4 /*yield*/, toNetInput(input)];
- case 1:
- netInput = _b.sent();
- if (netInput.batchSize > 1) {
- throw new Error('extractFaces - batchSize > 1 not supported');
- }
- tensorOrCanvas = netInput.getInput(0);
- if (!(tensorOrCanvas instanceof Canvas)) return [3 /*break*/, 2];
- _a = tensorOrCanvas;
- return [3 /*break*/, 4];
- case 2: return [4 /*yield*/, imageTensorToCanvas(tensorOrCanvas)];
- case 3:
- _a = _b.sent();
- _b.label = 4;
- case 4:
- canvas = _a;
- _b.label = 5;
- case 5:
- ctx = getContext2dOrThrow(canvas);
- boxes = detections.map(function (det) { return det instanceof FaceDetection
- ? det.forSize(canvas.width, canvas.height).box.floor()
- : det; })
- .map(function (box) { return box.clipAtImageBorders(canvas.width, canvas.height); });
- return [2 /*return*/, boxes.map(function (_a) {
- var x = _a.x, y = _a.y, width = _a.width, height = _a.height;
- var faceImg = createCanvas({ width: width, height: height });
- getContext2dOrThrow(faceImg)
- .putImageData(ctx.getImageData(x, y, width, height), 0, 0);
- return faceImg;
- })];
- }
- });
- });
-}
-//# sourceMappingURL=extractFaces.js.map
\ No newline at end of file
diff --git a/build/es6/dom/extractFaces.js.map b/build/es6/dom/extractFaces.js.map
deleted file mode 100644
index 375cdc4c..00000000
--- a/build/es6/dom/extractFaces.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"extractFaces.js","sourceRoot":"","sources":["../../../src/dom/extractFaces.ts"],"names":[],"mappings":";AAAA,OAAO,EACL,YAAY,EACZ,GAAG,EACH,mBAAmB,EACnB,mBAAmB,EAGnB,UAAU,GACX,MAAM,6BAA6B,CAAC;AAErC,OAAO,EAAE,aAAa,EAAE,MAAM,0BAA0B,CAAC;AAEzD;;;;;;GAMG;AACH,MAAM,UAAgB,YAAY,CAChC,KAAgB,EAChB,UAAuC;;;;;;oBAG/B,MAAM,GAAK,GAAG,CAAC,MAAM,EAAE,OAAjB,CAAiB;oBAE3B,MAAM,GAAG,KAA0B,CAAA;yBAEnC,CAAC,CAAC,KAAK,YAAY,MAAM,CAAC,EAA1B,wBAA0B;oBACX,qBAAM,UAAU,CAAC,KAAK,CAAC,EAAA;;oBAAlC,QAAQ,GAAG,SAAuB;oBAExC,IAAI,QAAQ,CAAC,SAAS,GAAG,CAAC,EAAE;wBAC1B,MAAM,IAAI,KAAK,CAAC,4CAA4C,CAAC,CAAA;qBAC9D;oBAEK,cAAc,GAAG,QAAQ,CAAC,QAAQ,CAAC,CAAC,CAAC,CAAA;yBAClC,CAAA,cAAc,YAAY,MAAM,CAAA,EAAhC,wBAAgC;oBACrC,KAAA,cAAc,CAAA;;wBACd,qBAAM,mBAAmB,CAAC,cAAc,CAAC,EAAA;;oBAAzC,KAAA,SAAyC,CAAA;;;oBAF7C,MAAM,KAEuC,CAAA;;;oBAGzC,GAAG,GAAG,mBAAmB,CAAC,MAAM,CAAC,CAAA;oBACjC,KAAK,GAAG,UAAU,CAAC,GAAG,CAC1B,UAAA,GAAG,IAAI,OAAA,GAAG,YAAY,aAAa;wBACjC,CAAC,CAAC,GAAG,CAAC,OAAO,CAAC,MAAM,CAAC,KAAK,EAAE,MAAM,CAAC,MAAM,CAAC,CAAC,GAAG,CAAC,KAAK,EAAE;wBACtD,CAAC,CAAC,GAAG,EAFA,CAEA,CACR;yBACE,GAAG,CAAC,UAAA,GAAG,IAAI,OAAA,GAAG,CAAC,kBAAkB,CAAC,MAAM,CAAC,KAAK,EAAE,MAAM,CAAC,MAAM,CAAC,EAAnD,CAAmD,CAAC,CAAA;oBAElE,sBAAO,KAAK,CAAC,GAAG,CAAC,UAAC,EAAuB;gCAArB,QAAC,EAAE,QAAC,EAAE,gBAAK,EAAE,kBAAM;4BACrC,IAAM,OAAO,GAAG,YAAY,CAAC,EAAE,KAAK,OAAA,EAAE,MAAM,QAAA,EAAE,CAAC,CAAA;4BAC/C,mBAAmB,CAAC,OAAO,CAAC;iCACzB,YAAY,CAAC,GAAG,CAAC,YAAY,CAAC,CAAC,EAAE,CAAC,EAAE,KAAK,EAAE,MAAM,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAA;4BAC5D,OAAO,OAAO,CAAA;wBAChB,CAAC,CAAC,EAAA;;;;CACH"}
\ No newline at end of file
diff --git a/build/es6/dom/index.d.ts b/build/es6/dom/index.d.ts
deleted file mode 100644
index 9b8d66e1..00000000
--- a/build/es6/dom/index.d.ts
+++ /dev/null
@@ -1,6 +0,0 @@
-export * from './drawContour';
-export * from './drawLandmarks';
-export * from './drawFaceExpressions';
-export * from './extractFaces';
-export * from './extractFaceTensors';
-export * from './types';
diff --git a/build/es6/dom/index.js b/build/es6/dom/index.js
deleted file mode 100644
index e9715d70..00000000
--- a/build/es6/dom/index.js
+++ /dev/null
@@ -1,6 +0,0 @@
-export * from './drawContour';
-export * from './drawLandmarks';
-export * from './drawFaceExpressions';
-export * from './extractFaces';
-export * from './extractFaceTensors';
-//# sourceMappingURL=index.js.map
\ No newline at end of file
diff --git a/build/es6/dom/index.js.map b/build/es6/dom/index.js.map
deleted file mode 100644
index d3da0f1e..00000000
--- a/build/es6/dom/index.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"index.js","sourceRoot":"","sources":["../../../src/dom/index.ts"],"names":[],"mappings":"AAAA,cAAc,eAAe,CAAA;AAC7B,cAAc,iBAAiB,CAAA;AAC/B,cAAc,uBAAuB,CAAA;AACrC,cAAc,gBAAgB,CAAA;AAC9B,cAAc,sBAAsB,CAAA"}
\ No newline at end of file
diff --git a/build/es6/dom/types.d.ts b/build/es6/dom/types.d.ts
deleted file mode 100644
index e1f3d6f6..00000000
--- a/build/es6/dom/types.d.ts
+++ /dev/null
@@ -1,17 +0,0 @@
-import { IPoint, IRect } from 'tfjs-image-recognition-base';
-import { WithFaceExpressions } from '../factories/WithFaceExpressions';
-export declare type DrawLandmarksOptions = {
- lineWidth?: number;
- color?: string;
- drawLines?: boolean;
-};
-export declare type DrawFaceExpressionsOptions = {
- primaryColor?: string;
- secondaryColor?: string;
- primaryFontSize?: number;
- secondaryFontSize?: number;
- minConfidence?: number;
-};
-export declare type DrawFaceExpressionsInput = WithFaceExpressions<{
- position: IPoint | IRect;
-}>;
diff --git a/build/es6/dom/types.js b/build/es6/dom/types.js
deleted file mode 100644
index 5b2306a4..00000000
--- a/build/es6/dom/types.js
+++ /dev/null
@@ -1 +0,0 @@
-//# sourceMappingURL=types.js.map
\ No newline at end of file
diff --git a/build/es6/dom/types.js.map b/build/es6/dom/types.js.map
deleted file mode 100644
index 81849c01..00000000
--- a/build/es6/dom/types.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"types.js","sourceRoot":"","sources":["../../../src/dom/types.ts"],"names":[],"mappings":""}
\ No newline at end of file
diff --git a/build/es6/euclideanDistance.d.ts b/build/es6/euclideanDistance.d.ts
deleted file mode 100644
index d555de27..00000000
--- a/build/es6/euclideanDistance.d.ts
+++ /dev/null
@@ -1 +0,0 @@
-export declare function euclideanDistance(arr1: number[] | Float32Array, arr2: number[] | Float32Array): number;
diff --git a/build/es6/euclideanDistance.js b/build/es6/euclideanDistance.js
deleted file mode 100644
index 34289679..00000000
--- a/build/es6/euclideanDistance.js
+++ /dev/null
@@ -1,10 +0,0 @@
-export function euclideanDistance(arr1, arr2) {
- if (arr1.length !== arr2.length)
- throw new Error('euclideanDistance: arr1.length !== arr2.length');
- var desc1 = Array.from(arr1);
- var desc2 = Array.from(arr2);
- return Math.sqrt(desc1
- .map(function (val, i) { return val - desc2[i]; })
- .reduce(function (res, diff) { return res + Math.pow(diff, 2); }, 0));
-}
-//# sourceMappingURL=euclideanDistance.js.map
\ No newline at end of file
diff --git a/build/es6/euclideanDistance.js.map b/build/es6/euclideanDistance.js.map
deleted file mode 100644
index 1347c1d4..00000000
--- a/build/es6/euclideanDistance.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"euclideanDistance.js","sourceRoot":"","sources":["../../src/euclideanDistance.ts"],"names":[],"mappings":"AAAA,MAAM,UAAU,iBAAiB,CAAC,IAA6B,EAAE,IAA6B;IAC5F,IAAI,IAAI,CAAC,MAAM,KAAK,IAAI,CAAC,MAAM;QAC7B,MAAM,IAAI,KAAK,CAAC,gDAAgD,CAAC,CAAA;IAEnE,IAAM,KAAK,GAAG,KAAK,CAAC,IAAI,CAAC,IAAI,CAAC,CAAA;IAC9B,IAAM,KAAK,GAAG,KAAK,CAAC,IAAI,CAAC,IAAI,CAAC,CAAA;IAE9B,OAAO,IAAI,CAAC,IAAI,CACd,KAAK;SACF,GAAG,CAAC,UAAC,GAAG,EAAE,CAAC,IAAK,OAAA,GAAG,GAAG,KAAK,CAAC,CAAC,CAAC,EAAd,CAAc,CAAC;SAC/B,MAAM,CAAC,UAAC,GAAG,EAAE,IAAI,IAAK,OAAA,GAAG,GAAG,IAAI,CAAC,GAAG,CAAC,IAAI,EAAE,CAAC,CAAC,EAAvB,CAAuB,EAAE,CAAC,CAAC,CACrD,CAAA;AACH,CAAC"}
\ No newline at end of file
diff --git a/build/es6/faceExpressionNet/FaceExpressionNet.d.ts b/build/es6/faceExpressionNet/FaceExpressionNet.d.ts
deleted file mode 100644
index c65e2801..00000000
--- a/build/es6/faceExpressionNet/FaceExpressionNet.d.ts
+++ /dev/null
@@ -1,17 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { NetInput, TNetInput } from 'tfjs-image-recognition-base';
-import { FaceFeatureExtractor } from '../faceFeatureExtractor/FaceFeatureExtractor';
-import { FaceFeatureExtractorParams } from '../faceFeatureExtractor/types';
-import { FaceProcessor } from '../faceProcessor/FaceProcessor';
-import { FaceExpressionPrediction } from './types';
-export declare class FaceExpressionNet extends FaceProcessor {
- static getFaceExpressionLabel(faceExpression: string): number;
- static decodeProbabilites(probabilities: number[] | Float32Array): FaceExpressionPrediction[];
- constructor(faceFeatureExtractor?: FaceFeatureExtractor);
- forwardInput(input: NetInput | tf.Tensor4D): tf.Tensor2D;
- forward(input: TNetInput): Promise;
- predictExpressions(input: TNetInput): Promise;
- protected getDefaultModelName(): string;
- protected getClassifierChannelsIn(): number;
- protected getClassifierChannelsOut(): number;
-}
diff --git a/build/es6/faceExpressionNet/FaceExpressionNet.js b/build/es6/faceExpressionNet/FaceExpressionNet.js
deleted file mode 100644
index dc5e186d..00000000
--- a/build/es6/faceExpressionNet/FaceExpressionNet.js
+++ /dev/null
@@ -1,92 +0,0 @@
-import * as tslib_1 from "tslib";
-import * as tf from '@tensorflow/tfjs-core';
-import { toNetInput } from 'tfjs-image-recognition-base';
-import { FaceFeatureExtractor } from '../faceFeatureExtractor/FaceFeatureExtractor';
-import { FaceProcessor } from '../faceProcessor/FaceProcessor';
-import { faceExpressionLabels } from './types';
-var FaceExpressionNet = /** @class */ (function (_super) {
- tslib_1.__extends(FaceExpressionNet, _super);
- function FaceExpressionNet(faceFeatureExtractor) {
- if (faceFeatureExtractor === void 0) { faceFeatureExtractor = new FaceFeatureExtractor(); }
- return _super.call(this, 'FaceExpressionNet', faceFeatureExtractor) || this;
- }
- FaceExpressionNet.getFaceExpressionLabel = function (faceExpression) {
- var label = faceExpressionLabels[faceExpression];
- if (typeof label !== 'number') {
- throw new Error("getFaceExpressionLabel - no label for faceExpression: " + faceExpression);
- }
- return label;
- };
- FaceExpressionNet.decodeProbabilites = function (probabilities) {
- if (probabilities.length !== 7) {
- throw new Error("decodeProbabilites - expected probabilities.length to be 7, have: " + probabilities.length);
- }
- return Object.keys(faceExpressionLabels)
- .map(function (expression) { return ({ expression: expression, probability: probabilities[faceExpressionLabels[expression]] }); });
- };
- FaceExpressionNet.prototype.forwardInput = function (input) {
- var _this = this;
- return tf.tidy(function () { return tf.softmax(_this.runNet(input)); });
- };
- FaceExpressionNet.prototype.forward = function (input) {
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- var _a;
- return tslib_1.__generator(this, function (_b) {
- switch (_b.label) {
- case 0:
- _a = this.forwardInput;
- return [4 /*yield*/, toNetInput(input)];
- case 1: return [2 /*return*/, _a.apply(this, [_b.sent()])];
- }
- });
- });
- };
- FaceExpressionNet.prototype.predictExpressions = function (input) {
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- var netInput, out, probabilitesByBatch, predictionsByBatch;
- var _this = this;
- return tslib_1.__generator(this, function (_a) {
- switch (_a.label) {
- case 0: return [4 /*yield*/, toNetInput(input)];
- case 1:
- netInput = _a.sent();
- return [4 /*yield*/, this.forwardInput(netInput)];
- case 2:
- out = _a.sent();
- return [4 /*yield*/, Promise.all(tf.unstack(out).map(function (t) { return tslib_1.__awaiter(_this, void 0, void 0, function () {
- var data;
- return tslib_1.__generator(this, function (_a) {
- switch (_a.label) {
- case 0: return [4 /*yield*/, t.data()];
- case 1:
- data = _a.sent();
- t.dispose();
- return [2 /*return*/, data];
- }
- });
- }); }))];
- case 3:
- probabilitesByBatch = _a.sent();
- out.dispose();
- predictionsByBatch = probabilitesByBatch
- .map(function (propablities) { return FaceExpressionNet.decodeProbabilites(propablities); });
- return [2 /*return*/, netInput.isBatchInput
- ? predictionsByBatch
- : predictionsByBatch[0]];
- }
- });
- });
- };
- FaceExpressionNet.prototype.getDefaultModelName = function () {
- return 'face_expression_model';
- };
- FaceExpressionNet.prototype.getClassifierChannelsIn = function () {
- return 256;
- };
- FaceExpressionNet.prototype.getClassifierChannelsOut = function () {
- return 7;
- };
- return FaceExpressionNet;
-}(FaceProcessor));
-export { FaceExpressionNet };
-//# sourceMappingURL=FaceExpressionNet.js.map
\ No newline at end of file
diff --git a/build/es6/faceExpressionNet/FaceExpressionNet.js.map b/build/es6/faceExpressionNet/FaceExpressionNet.js.map
deleted file mode 100644
index f1e5effb..00000000
--- a/build/es6/faceExpressionNet/FaceExpressionNet.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"FaceExpressionNet.js","sourceRoot":"","sources":["../../../src/faceExpressionNet/FaceExpressionNet.ts"],"names":[],"mappings":";AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAC5C,OAAO,EAAuB,UAAU,EAAE,MAAM,6BAA6B,CAAC;AAE9E,OAAO,EAAE,oBAAoB,EAAE,MAAM,8CAA8C,CAAC;AAEpF,OAAO,EAAE,aAAa,EAAE,MAAM,gCAAgC,CAAC;AAC/D,OAAO,EAAkB,oBAAoB,EAA4B,MAAM,SAAS,CAAC;AAEzF;IAAuC,6CAAyC;IAqB9E,2BAAY,oBAAuE;QAAvE,qCAAA,EAAA,2BAAiD,oBAAoB,EAAE;eACjF,kBAAM,mBAAmB,EAAE,oBAAoB,CAAC;IAClD,CAAC;IArBa,wCAAsB,GAApC,UAAqC,cAAsB;QACzD,IAAM,KAAK,GAAG,oBAAoB,CAAC,cAAc,CAAC,CAAA;QAElD,IAAI,OAAO,KAAK,KAAK,QAAQ,EAAE;YAC7B,MAAM,IAAI,KAAK,CAAC,2DAAyD,cAAgB,CAAC,CAAA;SAC3F;QAED,OAAO,KAAK,CAAA;IACd,CAAC;IAEa,oCAAkB,GAAhC,UAAiC,aAAsC;QACrE,IAAI,aAAa,CAAC,MAAM,KAAK,CAAC,EAAE;YAC9B,MAAM,IAAI,KAAK,CAAC,uEAAqE,aAAa,CAAC,MAAQ,CAAC,CAAA;SAC7G;QAED,OAAQ,MAAM,CAAC,IAAI,CAAC,oBAAoB,CAAsB;aAC3D,GAAG,CAAC,UAAA,UAAU,IAAI,OAAA,CAAC,EAAE,UAAU,YAAA,EAAE,WAAW,EAAE,aAAa,CAAC,oBAAoB,CAAC,UAAU,CAAC,CAAC,EAAE,CAAC,EAA9E,CAA8E,CAAC,CAAA;IACtG,CAAC;IAMM,wCAAY,GAAnB,UAAoB,KAA6B;QAAjD,iBAEC;QADC,OAAO,EAAE,CAAC,IAAI,CAAC,cAAM,OAAA,EAAE,CAAC,OAAO,CAAC,KAAI,CAAC,MAAM,CAAC,KAAK,CAAC,CAAC,EAA9B,CAA8B,CAAC,CAAA;IACtD,CAAC;IAEY,mCAAO,GAApB,UAAqB,KAAgB;;;;;;wBAC5B,KAAA,IAAI,CAAC,YAAY,CAAA;wBAAC,qBAAM,UAAU,CAAC,KAAK,CAAC,EAAA;4BAAhD,sBAAO,SAAA,IAAI,GAAc,SAAuB,EAAC,EAAA;;;;KAClD;IAEY,8CAAkB,GAA/B,UAAgC,KAAgB;;;;;;4BAC7B,qBAAM,UAAU,CAAC,KAAK,CAAC,EAAA;;wBAAlC,QAAQ,GAAG,SAAuB;wBAC5B,qBAAM,IAAI,CAAC,YAAY,CAAC,QAAQ,CAAC,EAAA;;wBAAvC,GAAG,GAAG,SAAiC;wBACjB,qBAAM,OAAO,CAAC,GAAG,CAAC,EAAE,CAAC,OAAO,CAAC,GAAG,CAAC,CAAC,GAAG,CAAC,UAAM,CAAC;;;;gDAC1D,qBAAM,CAAC,CAAC,IAAI,EAAE,EAAA;;4CAArB,IAAI,GAAG,SAAc;4CAC3B,CAAC,CAAC,OAAO,EAAE,CAAA;4CACX,sBAAO,IAAI,EAAA;;;iCACZ,CAAC,CAAC,EAAA;;wBAJG,mBAAmB,GAAG,SAIzB;wBACH,GAAG,CAAC,OAAO,EAAE,CAAA;wBAEP,kBAAkB,GAAG,mBAAmB;6BAC3C,GAAG,CAAC,UAAA,YAAY,IAAI,OAAA,iBAAiB,CAAC,kBAAkB,CAAC,YAA4B,CAAC,EAAlE,CAAkE,CAAC,CAAA;wBAE1F,sBAAO,QAAQ,CAAC,YAAY;gCAC1B,CAAC,CAAC,kBAAkB;gCACpB,CAAC,CAAC,kBAAkB,CAAC,CAAC,CAAC,EAAA;;;;KAC1B;IAES,+CAAmB,GAA7B;QACE,OAAO,uBAAuB,CAAA;IAChC,CAAC;IAES,mDAAuB,GAAjC;QACE,OAAO,GAAG,CAAA;IACZ,CAAC;IAES,oDAAwB,GAAlC;QACE,OAAO,CAAC,CAAA;IACV,CAAC;IACH,wBAAC;AAAD,CAAC,AA9DD,CAAuC,aAAa,GA8DnD"}
\ No newline at end of file
diff --git a/build/es6/faceExpressionNet/index.d.ts b/build/es6/faceExpressionNet/index.d.ts
deleted file mode 100644
index 1c3a169f..00000000
--- a/build/es6/faceExpressionNet/index.d.ts
+++ /dev/null
@@ -1,2 +0,0 @@
-export * from './FaceExpressionNet';
-export * from './types';
diff --git a/build/es6/faceExpressionNet/index.js b/build/es6/faceExpressionNet/index.js
deleted file mode 100644
index 8efb717d..00000000
--- a/build/es6/faceExpressionNet/index.js
+++ /dev/null
@@ -1,3 +0,0 @@
-export * from './FaceExpressionNet';
-export * from './types';
-//# sourceMappingURL=index.js.map
\ No newline at end of file
diff --git a/build/es6/faceExpressionNet/index.js.map b/build/es6/faceExpressionNet/index.js.map
deleted file mode 100644
index 18ac3b03..00000000
--- a/build/es6/faceExpressionNet/index.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"index.js","sourceRoot":"","sources":["../../../src/faceExpressionNet/index.ts"],"names":[],"mappings":"AAAA,cAAc,qBAAqB,CAAC;AACpC,cAAc,SAAS,CAAC"}
\ No newline at end of file
diff --git a/build/es6/faceExpressionNet/types.d.ts b/build/es6/faceExpressionNet/types.d.ts
deleted file mode 100644
index 154e48b2..00000000
--- a/build/es6/faceExpressionNet/types.d.ts
+++ /dev/null
@@ -1,14 +0,0 @@
-export declare const faceExpressionLabels: {
- neutral: number;
- happy: number;
- sad: number;
- angry: number;
- fearful: number;
- disgusted: number;
- surprised: number;
-};
-export declare type FaceExpression = 'neutral' | 'happy' | 'sad' | 'angry' | 'fearful' | 'disgusted' | 'surprised';
-export declare type FaceExpressionPrediction = {
- expression: FaceExpression;
- probability: number;
-};
diff --git a/build/es6/faceExpressionNet/types.js b/build/es6/faceExpressionNet/types.js
deleted file mode 100644
index e82802d1..00000000
--- a/build/es6/faceExpressionNet/types.js
+++ /dev/null
@@ -1,10 +0,0 @@
-export var faceExpressionLabels = {
- neutral: 0,
- happy: 1,
- sad: 2,
- angry: 3,
- fearful: 4,
- disgusted: 5,
- surprised: 6
-};
-//# sourceMappingURL=types.js.map
\ No newline at end of file
diff --git a/build/es6/faceExpressionNet/types.js.map b/build/es6/faceExpressionNet/types.js.map
deleted file mode 100644
index 105de29b..00000000
--- a/build/es6/faceExpressionNet/types.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"types.js","sourceRoot":"","sources":["../../../src/faceExpressionNet/types.ts"],"names":[],"mappings":"AAAA,MAAM,CAAC,IAAM,oBAAoB,GAAG;IAClC,OAAO,EAAE,CAAC;IACV,KAAK,EAAE,CAAC;IACR,GAAG,EAAE,CAAC;IACN,KAAK,EAAE,CAAC;IACR,OAAO,EAAE,CAAC;IACV,SAAS,EAAE,CAAC;IACZ,SAAS,EAAC,CAAC;CACZ,CAAA"}
\ No newline at end of file
diff --git a/build/es6/faceFeatureExtractor/FaceFeatureExtractor.d.ts b/build/es6/faceFeatureExtractor/FaceFeatureExtractor.d.ts
deleted file mode 100644
index 35b86231..00000000
--- a/build/es6/faceFeatureExtractor/FaceFeatureExtractor.d.ts
+++ /dev/null
@@ -1,17 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { NetInput, NeuralNetwork, TNetInput } from 'tfjs-image-recognition-base';
-import { FaceFeatureExtractorParams, IFaceFeatureExtractor } from './types';
-export declare class FaceFeatureExtractor extends NeuralNetwork implements IFaceFeatureExtractor {
- constructor();
- forwardInput(input: NetInput): tf.Tensor4D;
- forward(input: TNetInput): Promise;
- protected getDefaultModelName(): string;
- protected extractParamsFromWeigthMap(weightMap: tf.NamedTensorMap): {
- params: FaceFeatureExtractorParams;
- paramMappings: import("tfjs-image-recognition-base/build/commonjs/common").ParamMapping[];
- };
- protected extractParams(weights: Float32Array): {
- params: FaceFeatureExtractorParams;
- paramMappings: import("tfjs-image-recognition-base/build/commonjs/common").ParamMapping[];
- };
-}
diff --git a/build/es6/faceFeatureExtractor/FaceFeatureExtractor.js b/build/es6/faceFeatureExtractor/FaceFeatureExtractor.js
deleted file mode 100644
index ca6f0933..00000000
--- a/build/es6/faceFeatureExtractor/FaceFeatureExtractor.js
+++ /dev/null
@@ -1,54 +0,0 @@
-import * as tslib_1 from "tslib";
-import * as tf from '@tensorflow/tfjs-core';
-import { NeuralNetwork, normalize, toNetInput } from 'tfjs-image-recognition-base';
-import { denseBlock4 } from './denseBlock';
-import { extractParams } from './extractParams';
-import { extractParamsFromWeigthMap } from './extractParamsFromWeigthMap';
-var FaceFeatureExtractor = /** @class */ (function (_super) {
- tslib_1.__extends(FaceFeatureExtractor, _super);
- function FaceFeatureExtractor() {
- return _super.call(this, 'FaceFeatureExtractor') || this;
- }
- FaceFeatureExtractor.prototype.forwardInput = function (input) {
- var params = this.params;
- if (!params) {
- throw new Error('FaceFeatureExtractor - load model before inference');
- }
- return tf.tidy(function () {
- var batchTensor = input.toBatchTensor(112, true);
- var meanRgb = [122.782, 117.001, 104.298];
- var normalized = normalize(batchTensor, meanRgb).div(tf.scalar(255));
- var out = denseBlock4(normalized, params.dense0, true);
- out = denseBlock4(out, params.dense1);
- out = denseBlock4(out, params.dense2);
- out = denseBlock4(out, params.dense3);
- out = tf.avgPool(out, [7, 7], [2, 2], 'valid');
- return out;
- });
- };
- FaceFeatureExtractor.prototype.forward = function (input) {
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- var _a;
- return tslib_1.__generator(this, function (_b) {
- switch (_b.label) {
- case 0:
- _a = this.forwardInput;
- return [4 /*yield*/, toNetInput(input)];
- case 1: return [2 /*return*/, _a.apply(this, [_b.sent()])];
- }
- });
- });
- };
- FaceFeatureExtractor.prototype.getDefaultModelName = function () {
- return 'face_feature_extractor_model';
- };
- FaceFeatureExtractor.prototype.extractParamsFromWeigthMap = function (weightMap) {
- return extractParamsFromWeigthMap(weightMap);
- };
- FaceFeatureExtractor.prototype.extractParams = function (weights) {
- return extractParams(weights);
- };
- return FaceFeatureExtractor;
-}(NeuralNetwork));
-export { FaceFeatureExtractor };
-//# sourceMappingURL=FaceFeatureExtractor.js.map
\ No newline at end of file
diff --git a/build/es6/faceFeatureExtractor/FaceFeatureExtractor.js.map b/build/es6/faceFeatureExtractor/FaceFeatureExtractor.js.map
deleted file mode 100644
index 2ceab2f4..00000000
--- a/build/es6/faceFeatureExtractor/FaceFeatureExtractor.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"FaceFeatureExtractor.js","sourceRoot":"","sources":["../../../src/faceFeatureExtractor/FaceFeatureExtractor.ts"],"names":[],"mappings":";AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAC5C,OAAO,EAAY,aAAa,EAAE,SAAS,EAAa,UAAU,EAAE,MAAM,6BAA6B,CAAC;AAExG,OAAO,EAAE,WAAW,EAAE,MAAM,cAAc,CAAC;AAC3C,OAAO,EAAE,aAAa,EAAE,MAAM,iBAAiB,CAAC;AAChD,OAAO,EAAE,0BAA0B,EAAE,MAAM,8BAA8B,CAAC;AAG1E;IAA0C,gDAAyC;IAEjF;eACE,kBAAM,sBAAsB,CAAC;IAC/B,CAAC;IAEM,2CAAY,GAAnB,UAAoB,KAAe;QAEzB,IAAA,oBAAM,CAAS;QAEvB,IAAI,CAAC,MAAM,EAAE;YACX,MAAM,IAAI,KAAK,CAAC,oDAAoD,CAAC,CAAA;SACtE;QAED,OAAO,EAAE,CAAC,IAAI,CAAC;YACb,IAAM,WAAW,GAAG,KAAK,CAAC,aAAa,CAAC,GAAG,EAAE,IAAI,CAAC,CAAA;YAClD,IAAM,OAAO,GAAG,CAAC,OAAO,EAAE,OAAO,EAAE,OAAO,CAAC,CAAA;YAC3C,IAAM,UAAU,GAAG,SAAS,CAAC,WAAW,EAAE,OAAO,CAAC,CAAC,GAAG,CAAC,EAAE,CAAC,MAAM,CAAC,GAAG,CAAC,CAAgB,CAAA;YAErF,IAAI,GAAG,GAAG,WAAW,CAAC,UAAU,EAAE,MAAM,CAAC,MAAM,EAAE,IAAI,CAAC,CAAA;YACtD,GAAG,GAAG,WAAW,CAAC,GAAG,EAAE,MAAM,CAAC,MAAM,CAAC,CAAA;YACrC,GAAG,GAAG,WAAW,CAAC,GAAG,EAAE,MAAM,CAAC,MAAM,CAAC,CAAA;YACrC,GAAG,GAAG,WAAW,CAAC,GAAG,EAAE,MAAM,CAAC,MAAM,CAAC,CAAA;YACrC,GAAG,GAAG,EAAE,CAAC,OAAO,CAAC,GAAG,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,OAAO,CAAC,CAAA;YAE9C,OAAO,GAAG,CAAA;QACZ,CAAC,CAAC,CAAA;IACJ,CAAC;IAEY,sCAAO,GAApB,UAAqB,KAAgB;;;;;;wBAC5B,KAAA,IAAI,CAAC,YAAY,CAAA;wBAAC,qBAAM,UAAU,CAAC,KAAK,CAAC,EAAA;4BAAhD,sBAAO,SAAA,IAAI,GAAc,SAAuB,EAAC,EAAA;;;;KAClD;IAES,kDAAmB,GAA7B;QACE,OAAO,8BAA8B,CAAA;IACvC,CAAC;IAES,yDAA0B,GAApC,UAAqC,SAA4B;QAC/D,OAAO,0BAA0B,CAAC,SAAS,CAAC,CAAA;IAC9C,CAAC;IAES,4CAAa,GAAvB,UAAwB,OAAqB;QAC3C,OAAO,aAAa,CAAC,OAAO,CAAC,CAAA;IAC/B,CAAC;IACH,2BAAC;AAAD,CAAC,AA5CD,CAA0C,aAAa,GA4CtD"}
\ No newline at end of file
diff --git a/build/es6/faceFeatureExtractor/TinyFaceFeatureExtractor.d.ts b/build/es6/faceFeatureExtractor/TinyFaceFeatureExtractor.d.ts
deleted file mode 100644
index 4e9957ca..00000000
--- a/build/es6/faceFeatureExtractor/TinyFaceFeatureExtractor.d.ts
+++ /dev/null
@@ -1,17 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { NetInput, NeuralNetwork, TNetInput } from 'tfjs-image-recognition-base';
-import { IFaceFeatureExtractor, TinyFaceFeatureExtractorParams } from './types';
-export declare class TinyFaceFeatureExtractor extends NeuralNetwork implements IFaceFeatureExtractor {
- constructor();
- forwardInput(input: NetInput): tf.Tensor4D;
- forward(input: TNetInput): Promise;
- protected getDefaultModelName(): string;
- protected extractParamsFromWeigthMap(weightMap: tf.NamedTensorMap): {
- params: TinyFaceFeatureExtractorParams;
- paramMappings: import("tfjs-image-recognition-base/build/commonjs/common").ParamMapping[];
- };
- protected extractParams(weights: Float32Array): {
- params: TinyFaceFeatureExtractorParams;
- paramMappings: import("tfjs-image-recognition-base/build/commonjs/common").ParamMapping[];
- };
-}
diff --git a/build/es6/faceFeatureExtractor/TinyFaceFeatureExtractor.js b/build/es6/faceFeatureExtractor/TinyFaceFeatureExtractor.js
deleted file mode 100644
index 51f6f96e..00000000
--- a/build/es6/faceFeatureExtractor/TinyFaceFeatureExtractor.js
+++ /dev/null
@@ -1,53 +0,0 @@
-import * as tslib_1 from "tslib";
-import * as tf from '@tensorflow/tfjs-core';
-import { NeuralNetwork, normalize, toNetInput } from 'tfjs-image-recognition-base';
-import { denseBlock3 } from './denseBlock';
-import { extractParamsFromWeigthMapTiny } from './extractParamsFromWeigthMapTiny';
-import { extractParamsTiny } from './extractParamsTiny';
-var TinyFaceFeatureExtractor = /** @class */ (function (_super) {
- tslib_1.__extends(TinyFaceFeatureExtractor, _super);
- function TinyFaceFeatureExtractor() {
- return _super.call(this, 'TinyFaceFeatureExtractor') || this;
- }
- TinyFaceFeatureExtractor.prototype.forwardInput = function (input) {
- var params = this.params;
- if (!params) {
- throw new Error('TinyFaceFeatureExtractor - load model before inference');
- }
- return tf.tidy(function () {
- var batchTensor = input.toBatchTensor(112, true);
- var meanRgb = [122.782, 117.001, 104.298];
- var normalized = normalize(batchTensor, meanRgb).div(tf.scalar(255));
- var out = denseBlock3(normalized, params.dense0, true);
- out = denseBlock3(out, params.dense1);
- out = denseBlock3(out, params.dense2);
- out = tf.avgPool(out, [14, 14], [2, 2], 'valid');
- return out;
- });
- };
- TinyFaceFeatureExtractor.prototype.forward = function (input) {
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- var _a;
- return tslib_1.__generator(this, function (_b) {
- switch (_b.label) {
- case 0:
- _a = this.forwardInput;
- return [4 /*yield*/, toNetInput(input)];
- case 1: return [2 /*return*/, _a.apply(this, [_b.sent()])];
- }
- });
- });
- };
- TinyFaceFeatureExtractor.prototype.getDefaultModelName = function () {
- return 'face_feature_extractor_tiny_model';
- };
- TinyFaceFeatureExtractor.prototype.extractParamsFromWeigthMap = function (weightMap) {
- return extractParamsFromWeigthMapTiny(weightMap);
- };
- TinyFaceFeatureExtractor.prototype.extractParams = function (weights) {
- return extractParamsTiny(weights);
- };
- return TinyFaceFeatureExtractor;
-}(NeuralNetwork));
-export { TinyFaceFeatureExtractor };
-//# sourceMappingURL=TinyFaceFeatureExtractor.js.map
\ No newline at end of file
diff --git a/build/es6/faceFeatureExtractor/TinyFaceFeatureExtractor.js.map b/build/es6/faceFeatureExtractor/TinyFaceFeatureExtractor.js.map
deleted file mode 100644
index c5757270..00000000
--- a/build/es6/faceFeatureExtractor/TinyFaceFeatureExtractor.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"TinyFaceFeatureExtractor.js","sourceRoot":"","sources":["../../../src/faceFeatureExtractor/TinyFaceFeatureExtractor.ts"],"names":[],"mappings":";AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAC5C,OAAO,EAAY,aAAa,EAAE,SAAS,EAAa,UAAU,EAAE,MAAM,6BAA6B,CAAC;AAExG,OAAO,EAAE,WAAW,EAAE,MAAM,cAAc,CAAC;AAC3C,OAAO,EAAE,8BAA8B,EAAE,MAAM,kCAAkC,CAAC;AAClF,OAAO,EAAE,iBAAiB,EAAE,MAAM,qBAAqB,CAAC;AAGxD;IAA8C,oDAA6C;IAEzF;eACE,kBAAM,0BAA0B,CAAC;IACnC,CAAC;IAEM,+CAAY,GAAnB,UAAoB,KAAe;QAEzB,IAAA,oBAAM,CAAS;QAEvB,IAAI,CAAC,MAAM,EAAE;YACX,MAAM,IAAI,KAAK,CAAC,wDAAwD,CAAC,CAAA;SAC1E;QAED,OAAO,EAAE,CAAC,IAAI,CAAC;YACb,IAAM,WAAW,GAAG,KAAK,CAAC,aAAa,CAAC,GAAG,EAAE,IAAI,CAAC,CAAA;YAClD,IAAM,OAAO,GAAG,CAAC,OAAO,EAAE,OAAO,EAAE,OAAO,CAAC,CAAA;YAC3C,IAAM,UAAU,GAAG,SAAS,CAAC,WAAW,EAAE,OAAO,CAAC,CAAC,GAAG,CAAC,EAAE,CAAC,MAAM,CAAC,GAAG,CAAC,CAAgB,CAAA;YAErF,IAAI,GAAG,GAAG,WAAW,CAAC,UAAU,EAAE,MAAM,CAAC,MAAM,EAAE,IAAI,CAAC,CAAA;YACtD,GAAG,GAAG,WAAW,CAAC,GAAG,EAAE,MAAM,CAAC,MAAM,CAAC,CAAA;YACrC,GAAG,GAAG,WAAW,CAAC,GAAG,EAAE,MAAM,CAAC,MAAM,CAAC,CAAA;YACrC,GAAG,GAAG,EAAE,CAAC,OAAO,CAAC,GAAG,EAAE,CAAC,EAAE,EAAE,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,OAAO,CAAC,CAAA;YAEhD,OAAO,GAAG,CAAA;QACZ,CAAC,CAAC,CAAA;IACJ,CAAC;IAEY,0CAAO,GAApB,UAAqB,KAAgB;;;;;;wBAC5B,KAAA,IAAI,CAAC,YAAY,CAAA;wBAAC,qBAAM,UAAU,CAAC,KAAK,CAAC,EAAA;4BAAhD,sBAAO,SAAA,IAAI,GAAc,SAAuB,EAAC,EAAA;;;;KAClD;IAES,sDAAmB,GAA7B;QACE,OAAO,mCAAmC,CAAA;IAC5C,CAAC;IAES,6DAA0B,GAApC,UAAqC,SAA4B;QAC/D,OAAO,8BAA8B,CAAC,SAAS,CAAC,CAAA;IAClD,CAAC;IAES,gDAAa,GAAvB,UAAwB,OAAqB;QAC3C,OAAO,iBAAiB,CAAC,OAAO,CAAC,CAAA;IACnC,CAAC;IACH,+BAAC;AAAD,CAAC,AA3CD,CAA8C,aAAa,GA2C1D"}
\ No newline at end of file
diff --git a/build/es6/faceFeatureExtractor/denseBlock.d.ts b/build/es6/faceFeatureExtractor/denseBlock.d.ts
deleted file mode 100644
index 685af3ba..00000000
--- a/build/es6/faceFeatureExtractor/denseBlock.d.ts
+++ /dev/null
@@ -1,4 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { DenseBlock3Params, DenseBlock4Params } from './types';
-export declare function denseBlock3(x: tf.Tensor4D, denseBlockParams: DenseBlock3Params, isFirstLayer?: boolean): tf.Tensor4D;
-export declare function denseBlock4(x: tf.Tensor4D, denseBlockParams: DenseBlock4Params, isFirstLayer?: boolean, isScaleDown?: boolean): tf.Tensor4D;
diff --git a/build/es6/faceFeatureExtractor/denseBlock.js b/build/es6/faceFeatureExtractor/denseBlock.js
deleted file mode 100644
index d2f2a320..00000000
--- a/build/es6/faceFeatureExtractor/denseBlock.js
+++ /dev/null
@@ -1,30 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { depthwiseSeparableConv } from './depthwiseSeparableConv';
-export function denseBlock3(x, denseBlockParams, isFirstLayer) {
- if (isFirstLayer === void 0) { isFirstLayer = false; }
- return tf.tidy(function () {
- var out1 = tf.relu(isFirstLayer
- ? tf.add(tf.conv2d(x, denseBlockParams.conv0.filters, [2, 2], 'same'), denseBlockParams.conv0.bias)
- : depthwiseSeparableConv(x, denseBlockParams.conv0, [2, 2]));
- var out2 = depthwiseSeparableConv(out1, denseBlockParams.conv1, [1, 1]);
- var in3 = tf.relu(tf.add(out1, out2));
- var out3 = depthwiseSeparableConv(in3, denseBlockParams.conv2, [1, 1]);
- return tf.relu(tf.add(out1, tf.add(out2, out3)));
- });
-}
-export function denseBlock4(x, denseBlockParams, isFirstLayer, isScaleDown) {
- if (isFirstLayer === void 0) { isFirstLayer = false; }
- if (isScaleDown === void 0) { isScaleDown = true; }
- return tf.tidy(function () {
- var out1 = tf.relu(isFirstLayer
- ? tf.add(tf.conv2d(x, denseBlockParams.conv0.filters, isScaleDown ? [2, 2] : [1, 1], 'same'), denseBlockParams.conv0.bias)
- : depthwiseSeparableConv(x, denseBlockParams.conv0, isScaleDown ? [2, 2] : [1, 1]));
- var out2 = depthwiseSeparableConv(out1, denseBlockParams.conv1, [1, 1]);
- var in3 = tf.relu(tf.add(out1, out2));
- var out3 = depthwiseSeparableConv(in3, denseBlockParams.conv2, [1, 1]);
- var in4 = tf.relu(tf.add(out1, tf.add(out2, out3)));
- var out4 = depthwiseSeparableConv(in4, denseBlockParams.conv3, [1, 1]);
- return tf.relu(tf.add(out1, tf.add(out2, tf.add(out3, out4))));
- });
-}
-//# sourceMappingURL=denseBlock.js.map
\ No newline at end of file
diff --git a/build/es6/faceFeatureExtractor/denseBlock.js.map b/build/es6/faceFeatureExtractor/denseBlock.js.map
deleted file mode 100644
index a06e45bd..00000000
--- a/build/es6/faceFeatureExtractor/denseBlock.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"denseBlock.js","sourceRoot":"","sources":["../../../src/faceFeatureExtractor/denseBlock.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAG5C,OAAO,EAAE,sBAAsB,EAAE,MAAM,0BAA0B,CAAC;AAGlE,MAAM,UAAU,WAAW,CACzB,CAAc,EACd,gBAAmC,EACnC,YAA6B;IAA7B,6BAAA,EAAA,oBAA6B;IAE7B,OAAO,EAAE,CAAC,IAAI,CAAC;QACb,IAAM,IAAI,GAAG,EAAE,CAAC,IAAI,CAClB,YAAY;YACV,CAAC,CAAC,EAAE,CAAC,GAAG,CACN,EAAE,CAAC,MAAM,CAAC,CAAC,EAAG,gBAAgB,CAAC,KAA6C,CAAC,OAAO,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,MAAM,CAAC,EACrG,gBAAgB,CAAC,KAAK,CAAC,IAAI,CAC5B;YACD,CAAC,CAAC,sBAAsB,CAAC,CAAC,EAAE,gBAAgB,CAAC,KAAqD,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAC/F,CAAA;QAChB,IAAM,IAAI,GAAG,sBAAsB,CAAC,IAAI,EAAE,gBAAgB,CAAC,KAAK,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QAEzE,IAAM,GAAG,GAAG,EAAE,CAAC,IAAI,CAAC,EAAE,CAAC,GAAG,CAAC,IAAI,EAAE,IAAI,CAAC,CAAgB,CAAA;QACtD,IAAM,IAAI,GAAG,sBAAsB,CAAC,GAAG,EAAE,gBAAgB,CAAC,KAAK,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QAExE,OAAO,EAAE,CAAC,IAAI,CAAC,EAAE,CAAC,GAAG,CAAC,IAAI,EAAE,EAAE,CAAC,GAAG,CAAC,IAAI,EAAE,IAAI,CAAC,CAAC,CAAgB,CAAA;IACjE,CAAC,CAAC,CAAA;AACJ,CAAC;AAED,MAAM,UAAU,WAAW,CACzB,CAAc,EACd,gBAAmC,EACnC,YAA6B,EAC7B,WAA2B;IAD3B,6BAAA,EAAA,oBAA6B;IAC7B,4BAAA,EAAA,kBAA2B;IAE3B,OAAO,EAAE,CAAC,IAAI,CAAC;QACb,IAAM,IAAI,GAAG,EAAE,CAAC,IAAI,CAClB,YAAY;YACV,CAAC,CAAC,EAAE,CAAC,GAAG,CACN,EAAE,CAAC,MAAM,CAAC,CAAC,EAAG,gBAAgB,CAAC,KAA6C,CAAC,OAAO,EAAE,WAAW,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,MAAM,CAAC,EAC5H,gBAAgB,CAAC,KAAK,CAAC,IAAI,CAC5B;YACD,CAAC,CAAC,sBAAsB,CAAC,CAAC,EAAE,gBAAgB,CAAC,KAAqD,EAAE,WAAW,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CACtH,CAAA;QAChB,IAAM,IAAI,GAAG,sBAAsB,CAAC,IAAI,EAAE,gBAAgB,CAAC,KAAK,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QAEzE,IAAM,GAAG,GAAG,EAAE,CAAC,IAAI,CAAC,EAAE,CAAC,GAAG,CAAC,IAAI,EAAE,IAAI,CAAC,CAAgB,CAAA;QACtD,IAAM,IAAI,GAAG,sBAAsB,CAAC,GAAG,EAAE,gBAAgB,CAAC,KAAK,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QAExE,IAAM,GAAG,GAAG,EAAE,CAAC,IAAI,CAAC,EAAE,CAAC,GAAG,CAAC,IAAI,EAAE,EAAE,CAAC,GAAG,CAAC,IAAI,EAAE,IAAI,CAAC,CAAC,CAAgB,CAAA;QACpE,IAAM,IAAI,GAAG,sBAAsB,CAAC,GAAG,EAAE,gBAAgB,CAAC,KAAK,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAA;QAExE,OAAO,EAAE,CAAC,IAAI,CAAC,EAAE,CAAC,GAAG,CAAC,IAAI,EAAE,EAAE,CAAC,GAAG,CAAC,IAAI,EAAE,EAAE,CAAC,GAAG,CAAC,IAAI,EAAE,IAAI,CAAC,CAAC,CAAC,CAAgB,CAAA;IAC/E,CAAC,CAAC,CAAA;AACJ,CAAC"}
\ No newline at end of file
diff --git a/build/es6/faceFeatureExtractor/depthwiseSeparableConv.d.ts b/build/es6/faceFeatureExtractor/depthwiseSeparableConv.d.ts
deleted file mode 100644
index 10ada1a9..00000000
--- a/build/es6/faceFeatureExtractor/depthwiseSeparableConv.d.ts
+++ /dev/null
@@ -1,3 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-export declare function depthwiseSeparableConv(x: tf.Tensor4D, params: TfjsImageRecognitionBase.SeparableConvParams, stride: [number, number]): tf.Tensor4D;
diff --git a/build/es6/faceFeatureExtractor/depthwiseSeparableConv.js b/build/es6/faceFeatureExtractor/depthwiseSeparableConv.js
deleted file mode 100644
index 7c8669d2..00000000
--- a/build/es6/faceFeatureExtractor/depthwiseSeparableConv.js
+++ /dev/null
@@ -1,9 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-export function depthwiseSeparableConv(x, params, stride) {
- return tf.tidy(function () {
- var out = tf.separableConv2d(x, params.depthwise_filter, params.pointwise_filter, stride, 'same');
- out = tf.add(out, params.bias);
- return out;
- });
-}
-//# sourceMappingURL=depthwiseSeparableConv.js.map
\ No newline at end of file
diff --git a/build/es6/faceFeatureExtractor/depthwiseSeparableConv.js.map b/build/es6/faceFeatureExtractor/depthwiseSeparableConv.js.map
deleted file mode 100644
index 0710be72..00000000
--- a/build/es6/faceFeatureExtractor/depthwiseSeparableConv.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"depthwiseSeparableConv.js","sourceRoot":"","sources":["../../../src/faceFeatureExtractor/depthwiseSeparableConv.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAG5C,MAAM,UAAU,sBAAsB,CACpC,CAAc,EACd,MAAoD,EACpD,MAAwB;IAExB,OAAO,EAAE,CAAC,IAAI,CAAC;QACb,IAAI,GAAG,GAAG,EAAE,CAAC,eAAe,CAAC,CAAC,EAAE,MAAM,CAAC,gBAAgB,EAAE,MAAM,CAAC,gBAAgB,EAAE,MAAM,EAAE,MAAM,CAAC,CAAA;QACjG,GAAG,GAAG,EAAE,CAAC,GAAG,CAAC,GAAG,EAAE,MAAM,CAAC,IAAI,CAAC,CAAA;QAC9B,OAAO,GAAG,CAAA;IACZ,CAAC,CAAC,CAAA;AACJ,CAAC"}
\ No newline at end of file
diff --git a/build/es6/faceFeatureExtractor/extractParams.d.ts b/build/es6/faceFeatureExtractor/extractParams.d.ts
deleted file mode 100644
index acbea252..00000000
--- a/build/es6/faceFeatureExtractor/extractParams.d.ts
+++ /dev/null
@@ -1,6 +0,0 @@
-import { FaceFeatureExtractorParams } from './types';
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-export declare function extractParams(weights: Float32Array): {
- params: FaceFeatureExtractorParams;
- paramMappings: TfjsImageRecognitionBase.ParamMapping[];
-};
diff --git a/build/es6/faceFeatureExtractor/extractParams.js b/build/es6/faceFeatureExtractor/extractParams.js
deleted file mode 100644
index 08e989fd..00000000
--- a/build/es6/faceFeatureExtractor/extractParams.js
+++ /dev/null
@@ -1,19 +0,0 @@
-import { extractorsFactory } from './extractorsFactory';
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-export function extractParams(weights) {
- var paramMappings = [];
- var _a = TfjsImageRecognitionBase.extractWeightsFactory(weights), extractWeights = _a.extractWeights, getRemainingWeights = _a.getRemainingWeights;
- var extractDenseBlock4Params = extractorsFactory(extractWeights, paramMappings).extractDenseBlock4Params;
- var dense0 = extractDenseBlock4Params(3, 32, 'dense0', true);
- var dense1 = extractDenseBlock4Params(32, 64, 'dense1');
- var dense2 = extractDenseBlock4Params(64, 128, 'dense2');
- var dense3 = extractDenseBlock4Params(128, 256, 'dense3');
- if (getRemainingWeights().length !== 0) {
- throw new Error("weights remaing after extract: " + getRemainingWeights().length);
- }
- return {
- paramMappings: paramMappings,
- params: { dense0: dense0, dense1: dense1, dense2: dense2, dense3: dense3 }
- };
-}
-//# sourceMappingURL=extractParams.js.map
\ No newline at end of file
diff --git a/build/es6/faceFeatureExtractor/extractParams.js.map b/build/es6/faceFeatureExtractor/extractParams.js.map
deleted file mode 100644
index 994ae2f1..00000000
--- a/build/es6/faceFeatureExtractor/extractParams.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"extractParams.js","sourceRoot":"","sources":["../../../src/faceFeatureExtractor/extractParams.ts"],"names":[],"mappings":"AACA,OAAO,EAAE,iBAAiB,EAAE,MAAM,qBAAqB,CAAC;AAExD,OAAO,EAAE,wBAAwB,EAAE,MAAM,6BAA6B,CAAC;AAEvE,MAAM,UAAU,aAAa,CAAC,OAAqB;IAEjD,IAAM,aAAa,GAA4C,EAAE,CAAA;IAE3D,IAAA,4DAGqD,EAFzD,kCAAc,EACd,4CACyD,CAAA;IAGzD,IAAA,oGAAwB,CAC0B;IAEpD,IAAM,MAAM,GAAG,wBAAwB,CAAC,CAAC,EAAE,EAAE,EAAE,QAAQ,EAAE,IAAI,CAAC,CAAA;IAC9D,IAAM,MAAM,GAAG,wBAAwB,CAAC,EAAE,EAAE,EAAE,EAAE,QAAQ,CAAC,CAAA;IACzD,IAAM,MAAM,GAAG,wBAAwB,CAAC,EAAE,EAAE,GAAG,EAAE,QAAQ,CAAC,CAAA;IAC1D,IAAM,MAAM,GAAG,wBAAwB,CAAC,GAAG,EAAE,GAAG,EAAE,QAAQ,CAAC,CAAA;IAE3D,IAAI,mBAAmB,EAAE,CAAC,MAAM,KAAK,CAAC,EAAE;QACtC,MAAM,IAAI,KAAK,CAAC,oCAAkC,mBAAmB,EAAE,CAAC,MAAQ,CAAC,CAAA;KAClF;IAED,OAAO;QACL,aAAa,eAAA;QACb,MAAM,EAAE,EAAE,MAAM,QAAA,EAAE,MAAM,QAAA,EAAE,MAAM,QAAA,EAAE,MAAM,QAAA,EAAE;KAC3C,CAAA;AACH,CAAC"}
\ No newline at end of file
diff --git a/build/es6/faceFeatureExtractor/extractParamsFromWeigthMap.d.ts b/build/es6/faceFeatureExtractor/extractParamsFromWeigthMap.d.ts
deleted file mode 100644
index 5c964fcc..00000000
--- a/build/es6/faceFeatureExtractor/extractParamsFromWeigthMap.d.ts
+++ /dev/null
@@ -1,7 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-import { FaceFeatureExtractorParams } from './types';
-export declare function extractParamsFromWeigthMap(weightMap: tf.NamedTensorMap): {
- params: FaceFeatureExtractorParams;
- paramMappings: TfjsImageRecognitionBase.ParamMapping[];
-};
diff --git a/build/es6/faceFeatureExtractor/extractParamsFromWeigthMap.js b/build/es6/faceFeatureExtractor/extractParamsFromWeigthMap.js
deleted file mode 100644
index 7deb60de..00000000
--- a/build/es6/faceFeatureExtractor/extractParamsFromWeigthMap.js
+++ /dev/null
@@ -1,15 +0,0 @@
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-import { loadParamsFactory } from './loadParamsFactory';
-export function extractParamsFromWeigthMap(weightMap) {
- var paramMappings = [];
- var extractDenseBlock4Params = loadParamsFactory(weightMap, paramMappings).extractDenseBlock4Params;
- var params = {
- dense0: extractDenseBlock4Params('dense0', true),
- dense1: extractDenseBlock4Params('dense1'),
- dense2: extractDenseBlock4Params('dense2'),
- dense3: extractDenseBlock4Params('dense3')
- };
- TfjsImageRecognitionBase.disposeUnusedWeightTensors(weightMap, paramMappings);
- return { params: params, paramMappings: paramMappings };
-}
-//# sourceMappingURL=extractParamsFromWeigthMap.js.map
\ No newline at end of file
diff --git a/build/es6/faceFeatureExtractor/extractParamsFromWeigthMap.js.map b/build/es6/faceFeatureExtractor/extractParamsFromWeigthMap.js.map
deleted file mode 100644
index ab580ee6..00000000
--- a/build/es6/faceFeatureExtractor/extractParamsFromWeigthMap.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"extractParamsFromWeigthMap.js","sourceRoot":"","sources":["../../../src/faceFeatureExtractor/extractParamsFromWeigthMap.ts"],"names":[],"mappings":"AACA,OAAO,EAAE,wBAAwB,EAAE,MAAM,6BAA6B,CAAC;AAEvE,OAAO,EAAE,iBAAiB,EAAE,MAAM,qBAAqB,CAAC;AAGxD,MAAM,UAAU,0BAA0B,CACxC,SAA4B;IAG5B,IAAM,aAAa,GAA4C,EAAE,CAAA;IAG/D,IAAA,+FAAwB,CACqB;IAE/C,IAAM,MAAM,GAAG;QACb,MAAM,EAAE,wBAAwB,CAAC,QAAQ,EAAE,IAAI,CAAC;QAChD,MAAM,EAAE,wBAAwB,CAAC,QAAQ,CAAC;QAC1C,MAAM,EAAE,wBAAwB,CAAC,QAAQ,CAAC;QAC1C,MAAM,EAAE,wBAAwB,CAAC,QAAQ,CAAC;KAC3C,CAAA;IAED,wBAAwB,CAAC,0BAA0B,CAAC,SAAS,EAAE,aAAa,CAAC,CAAA;IAE7E,OAAO,EAAE,MAAM,QAAA,EAAE,aAAa,eAAA,EAAE,CAAA;AAClC,CAAC"}
\ No newline at end of file
diff --git a/build/es6/faceFeatureExtractor/extractParamsFromWeigthMapTiny.d.ts b/build/es6/faceFeatureExtractor/extractParamsFromWeigthMapTiny.d.ts
deleted file mode 100644
index 7d597dd2..00000000
--- a/build/es6/faceFeatureExtractor/extractParamsFromWeigthMapTiny.d.ts
+++ /dev/null
@@ -1,7 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-import { TinyFaceFeatureExtractorParams } from './types';
-export declare function extractParamsFromWeigthMapTiny(weightMap: tf.NamedTensorMap): {
- params: TinyFaceFeatureExtractorParams;
- paramMappings: TfjsImageRecognitionBase.ParamMapping[];
-};
diff --git a/build/es6/faceFeatureExtractor/extractParamsFromWeigthMapTiny.js b/build/es6/faceFeatureExtractor/extractParamsFromWeigthMapTiny.js
deleted file mode 100644
index 2b2ea419..00000000
--- a/build/es6/faceFeatureExtractor/extractParamsFromWeigthMapTiny.js
+++ /dev/null
@@ -1,14 +0,0 @@
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-import { loadParamsFactory } from './loadParamsFactory';
-export function extractParamsFromWeigthMapTiny(weightMap) {
- var paramMappings = [];
- var extractDenseBlock3Params = loadParamsFactory(weightMap, paramMappings).extractDenseBlock3Params;
- var params = {
- dense0: extractDenseBlock3Params('dense0', true),
- dense1: extractDenseBlock3Params('dense1'),
- dense2: extractDenseBlock3Params('dense2')
- };
- TfjsImageRecognitionBase.disposeUnusedWeightTensors(weightMap, paramMappings);
- return { params: params, paramMappings: paramMappings };
-}
-//# sourceMappingURL=extractParamsFromWeigthMapTiny.js.map
\ No newline at end of file
diff --git a/build/es6/faceFeatureExtractor/extractParamsFromWeigthMapTiny.js.map b/build/es6/faceFeatureExtractor/extractParamsFromWeigthMapTiny.js.map
deleted file mode 100644
index e765da78..00000000
--- a/build/es6/faceFeatureExtractor/extractParamsFromWeigthMapTiny.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"extractParamsFromWeigthMapTiny.js","sourceRoot":"","sources":["../../../src/faceFeatureExtractor/extractParamsFromWeigthMapTiny.ts"],"names":[],"mappings":"AACA,OAAO,EAAE,wBAAwB,EAAE,MAAM,6BAA6B,CAAC;AAEvE,OAAO,EAAE,iBAAiB,EAAE,MAAM,qBAAqB,CAAC;AAGxD,MAAM,UAAU,8BAA8B,CAC5C,SAA4B;IAG5B,IAAM,aAAa,GAA4C,EAAE,CAAA;IAG/D,IAAA,+FAAwB,CACqB;IAE/C,IAAM,MAAM,GAAG;QACb,MAAM,EAAE,wBAAwB,CAAC,QAAQ,EAAE,IAAI,CAAC;QAChD,MAAM,EAAE,wBAAwB,CAAC,QAAQ,CAAC;QAC1C,MAAM,EAAE,wBAAwB,CAAC,QAAQ,CAAC;KAC3C,CAAA;IAED,wBAAwB,CAAC,0BAA0B,CAAC,SAAS,EAAE,aAAa,CAAC,CAAA;IAE7E,OAAO,EAAE,MAAM,QAAA,EAAE,aAAa,eAAA,EAAE,CAAA;AAClC,CAAC"}
\ No newline at end of file
diff --git a/build/es6/faceFeatureExtractor/extractParamsTiny.d.ts b/build/es6/faceFeatureExtractor/extractParamsTiny.d.ts
deleted file mode 100644
index 4f623185..00000000
--- a/build/es6/faceFeatureExtractor/extractParamsTiny.d.ts
+++ /dev/null
@@ -1,6 +0,0 @@
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-import { TinyFaceFeatureExtractorParams } from './types';
-export declare function extractParamsTiny(weights: Float32Array): {
- params: TinyFaceFeatureExtractorParams;
- paramMappings: TfjsImageRecognitionBase.ParamMapping[];
-};
diff --git a/build/es6/faceFeatureExtractor/extractParamsTiny.js b/build/es6/faceFeatureExtractor/extractParamsTiny.js
deleted file mode 100644
index 51b04c62..00000000
--- a/build/es6/faceFeatureExtractor/extractParamsTiny.js
+++ /dev/null
@@ -1,18 +0,0 @@
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-import { extractorsFactory } from './extractorsFactory';
-export function extractParamsTiny(weights) {
- var paramMappings = [];
- var _a = TfjsImageRecognitionBase.extractWeightsFactory(weights), extractWeights = _a.extractWeights, getRemainingWeights = _a.getRemainingWeights;
- var extractDenseBlock3Params = extractorsFactory(extractWeights, paramMappings).extractDenseBlock3Params;
- var dense0 = extractDenseBlock3Params(3, 32, 'dense0', true);
- var dense1 = extractDenseBlock3Params(32, 64, 'dense1');
- var dense2 = extractDenseBlock3Params(64, 128, 'dense2');
- if (getRemainingWeights().length !== 0) {
- throw new Error("weights remaing after extract: " + getRemainingWeights().length);
- }
- return {
- paramMappings: paramMappings,
- params: { dense0: dense0, dense1: dense1, dense2: dense2 }
- };
-}
-//# sourceMappingURL=extractParamsTiny.js.map
\ No newline at end of file
diff --git a/build/es6/faceFeatureExtractor/extractParamsTiny.js.map b/build/es6/faceFeatureExtractor/extractParamsTiny.js.map
deleted file mode 100644
index 9292e0fa..00000000
--- a/build/es6/faceFeatureExtractor/extractParamsTiny.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"extractParamsTiny.js","sourceRoot":"","sources":["../../../src/faceFeatureExtractor/extractParamsTiny.ts"],"names":[],"mappings":"AAAA,OAAO,EAAE,wBAAwB,EAAE,MAAM,6BAA6B,CAAC;AAEvE,OAAO,EAAE,iBAAiB,EAAE,MAAM,qBAAqB,CAAC;AAIxD,MAAM,UAAU,iBAAiB,CAAC,OAAqB;IAErD,IAAM,aAAa,GAA4C,EAAE,CAAA;IAE3D,IAAA,4DAGqD,EAFzD,kCAAc,EACd,4CACyD,CAAA;IAGzD,IAAA,oGAAwB,CAC0B;IAEpD,IAAM,MAAM,GAAG,wBAAwB,CAAC,CAAC,EAAE,EAAE,EAAE,QAAQ,EAAE,IAAI,CAAC,CAAA;IAC9D,IAAM,MAAM,GAAG,wBAAwB,CAAC,EAAE,EAAE,EAAE,EAAE,QAAQ,CAAC,CAAA;IACzD,IAAM,MAAM,GAAG,wBAAwB,CAAC,EAAE,EAAE,GAAG,EAAE,QAAQ,CAAC,CAAA;IAE1D,IAAI,mBAAmB,EAAE,CAAC,MAAM,KAAK,CAAC,EAAE;QACtC,MAAM,IAAI,KAAK,CAAC,oCAAkC,mBAAmB,EAAE,CAAC,MAAQ,CAAC,CAAA;KAClF;IAED,OAAO;QACL,aAAa,eAAA;QACb,MAAM,EAAE,EAAE,MAAM,QAAA,EAAE,MAAM,QAAA,EAAE,MAAM,QAAA,EAAE;KACnC,CAAA;AACH,CAAC"}
\ No newline at end of file
diff --git a/build/es6/faceFeatureExtractor/extractorsFactory.d.ts b/build/es6/faceFeatureExtractor/extractorsFactory.d.ts
deleted file mode 100644
index 2c86c09e..00000000
--- a/build/es6/faceFeatureExtractor/extractorsFactory.d.ts
+++ /dev/null
@@ -1,6 +0,0 @@
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-import { DenseBlock3Params, DenseBlock4Params } from './types';
-export declare function extractorsFactory(extractWeights: TfjsImageRecognitionBase.ExtractWeightsFunction, paramMappings: TfjsImageRecognitionBase.ParamMapping[]): {
- extractDenseBlock3Params: (channelsIn: number, channelsOut: number, mappedPrefix: string, isFirstLayer?: boolean) => DenseBlock3Params;
- extractDenseBlock4Params: (channelsIn: number, channelsOut: number, mappedPrefix: string, isFirstLayer?: boolean) => DenseBlock4Params;
-};
diff --git a/build/es6/faceFeatureExtractor/extractorsFactory.js b/build/es6/faceFeatureExtractor/extractorsFactory.js
deleted file mode 100644
index d29ee003..00000000
--- a/build/es6/faceFeatureExtractor/extractorsFactory.js
+++ /dev/null
@@ -1,32 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-export function extractorsFactory(extractWeights, paramMappings) {
- function extractSeparableConvParams(channelsIn, channelsOut, mappedPrefix) {
- var depthwise_filter = tf.tensor4d(extractWeights(3 * 3 * channelsIn), [3, 3, channelsIn, 1]);
- var pointwise_filter = tf.tensor4d(extractWeights(channelsIn * channelsOut), [1, 1, channelsIn, channelsOut]);
- var bias = tf.tensor1d(extractWeights(channelsOut));
- paramMappings.push({ paramPath: mappedPrefix + "/depthwise_filter" }, { paramPath: mappedPrefix + "/pointwise_filter" }, { paramPath: mappedPrefix + "/bias" });
- return new TfjsImageRecognitionBase.SeparableConvParams(depthwise_filter, pointwise_filter, bias);
- }
- var extractConvParams = TfjsImageRecognitionBase.extractConvParamsFactory(extractWeights, paramMappings);
- function extractDenseBlock3Params(channelsIn, channelsOut, mappedPrefix, isFirstLayer) {
- if (isFirstLayer === void 0) { isFirstLayer = false; }
- var conv0 = isFirstLayer
- ? extractConvParams(channelsIn, channelsOut, 3, mappedPrefix + "/conv0")
- : extractSeparableConvParams(channelsIn, channelsOut, mappedPrefix + "/conv0");
- var conv1 = extractSeparableConvParams(channelsOut, channelsOut, mappedPrefix + "/conv1");
- var conv2 = extractSeparableConvParams(channelsOut, channelsOut, mappedPrefix + "/conv2");
- return { conv0: conv0, conv1: conv1, conv2: conv2 };
- }
- function extractDenseBlock4Params(channelsIn, channelsOut, mappedPrefix, isFirstLayer) {
- if (isFirstLayer === void 0) { isFirstLayer = false; }
- var _a = extractDenseBlock3Params(channelsIn, channelsOut, mappedPrefix, isFirstLayer), conv0 = _a.conv0, conv1 = _a.conv1, conv2 = _a.conv2;
- var conv3 = extractSeparableConvParams(channelsOut, channelsOut, mappedPrefix + "/conv3");
- return { conv0: conv0, conv1: conv1, conv2: conv2, conv3: conv3 };
- }
- return {
- extractDenseBlock3Params: extractDenseBlock3Params,
- extractDenseBlock4Params: extractDenseBlock4Params
- };
-}
-//# sourceMappingURL=extractorsFactory.js.map
\ No newline at end of file
diff --git a/build/es6/faceFeatureExtractor/extractorsFactory.js.map b/build/es6/faceFeatureExtractor/extractorsFactory.js.map
deleted file mode 100644
index 30d5d5af..00000000
--- a/build/es6/faceFeatureExtractor/extractorsFactory.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"extractorsFactory.js","sourceRoot":"","sources":["../../../src/faceFeatureExtractor/extractorsFactory.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAC5C,OAAO,EAAE,wBAAwB,EAAE,MAAM,6BAA6B,CAAC;AAIvE,MAAM,UAAU,iBAAiB,CAAC,cAA+D,EAAE,aAAsD;IAEvJ,SAAS,0BAA0B,CAAC,UAAkB,EAAE,WAAmB,EAAE,YAAoB;QAC/F,IAAM,gBAAgB,GAAG,EAAE,CAAC,QAAQ,CAAC,cAAc,CAAC,CAAC,GAAG,CAAC,GAAG,UAAU,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,UAAU,EAAE,CAAC,CAAC,CAAC,CAAA;QAC/F,IAAM,gBAAgB,GAAG,EAAE,CAAC,QAAQ,CAAC,cAAc,CAAC,UAAU,GAAG,WAAW,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,UAAU,EAAE,WAAW,CAAC,CAAC,CAAA;QAC/G,IAAM,IAAI,GAAG,EAAE,CAAC,QAAQ,CAAC,cAAc,CAAC,WAAW,CAAC,CAAC,CAAA;QAErD,aAAa,CAAC,IAAI,CAChB,EAAE,SAAS,EAAK,YAAY,sBAAmB,EAAE,EACjD,EAAE,SAAS,EAAK,YAAY,sBAAmB,EAAE,EACjD,EAAE,SAAS,EAAK,YAAY,UAAO,EAAE,CACtC,CAAA;QAED,OAAO,IAAI,wBAAwB,CAAC,mBAAmB,CACrD,gBAAgB,EAChB,gBAAgB,EAChB,IAAI,CACL,CAAA;IACH,CAAC;IAED,IAAM,iBAAiB,GAAG,wBAAwB,CAAC,wBAAwB,CAAC,cAAc,EAAE,aAAa,CAAC,CAAA;IAE1G,SAAS,wBAAwB,CAAC,UAAkB,EAAE,WAAmB,EAAE,YAAoB,EAAE,YAA6B;QAA7B,6BAAA,EAAA,oBAA6B;QAE5H,IAAM,KAAK,GAAG,YAAY;YACxB,CAAC,CAAC,iBAAiB,CAAC,UAAU,EAAE,WAAW,EAAE,CAAC,EAAK,YAAY,WAAQ,CAAC;YACxE,CAAC,CAAC,0BAA0B,CAAC,UAAU,EAAE,WAAW,EAAK,YAAY,WAAQ,CAAC,CAAA;QAChF,IAAM,KAAK,GAAG,0BAA0B,CAAC,WAAW,EAAE,WAAW,EAAK,YAAY,WAAQ,CAAC,CAAA;QAC3F,IAAM,KAAK,GAAG,0BAA0B,CAAC,WAAW,EAAE,WAAW,EAAK,YAAY,WAAQ,CAAC,CAAA;QAE3F,OAAO,EAAE,KAAK,OAAA,EAAE,KAAK,OAAA,EAAE,KAAK,OAAA,EAAE,CAAA;IAChC,CAAC;IAED,SAAS,wBAAwB,CAAC,UAAkB,EAAE,WAAmB,EAAE,YAAoB,EAAE,YAA6B;QAA7B,6BAAA,EAAA,oBAA6B;QAEtH,IAAA,kFAAuG,EAArG,gBAAK,EAAE,gBAAK,EAAE,gBAAuF,CAAA;QAC7G,IAAM,KAAK,GAAG,0BAA0B,CAAC,WAAW,EAAE,WAAW,EAAK,YAAY,WAAQ,CAAC,CAAA;QAE3F,OAAO,EAAE,KAAK,OAAA,EAAE,KAAK,OAAA,EAAE,KAAK,OAAA,EAAE,KAAK,OAAA,EAAE,CAAA;IACvC,CAAC;IAED,OAAO;QACL,wBAAwB,0BAAA;QACxB,wBAAwB,0BAAA;KACzB,CAAA;AAEH,CAAC"}
\ No newline at end of file
diff --git a/build/es6/faceFeatureExtractor/index.d.ts b/build/es6/faceFeatureExtractor/index.d.ts
deleted file mode 100644
index 99061f84..00000000
--- a/build/es6/faceFeatureExtractor/index.d.ts
+++ /dev/null
@@ -1,2 +0,0 @@
-export * from './FaceFeatureExtractor';
-export * from './TinyFaceFeatureExtractor';
diff --git a/build/es6/faceFeatureExtractor/index.js b/build/es6/faceFeatureExtractor/index.js
deleted file mode 100644
index 149df2a2..00000000
--- a/build/es6/faceFeatureExtractor/index.js
+++ /dev/null
@@ -1,3 +0,0 @@
-export * from './FaceFeatureExtractor';
-export * from './TinyFaceFeatureExtractor';
-//# sourceMappingURL=index.js.map
\ No newline at end of file
diff --git a/build/es6/faceFeatureExtractor/index.js.map b/build/es6/faceFeatureExtractor/index.js.map
deleted file mode 100644
index 431d20b1..00000000
--- a/build/es6/faceFeatureExtractor/index.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"index.js","sourceRoot":"","sources":["../../../src/faceFeatureExtractor/index.ts"],"names":[],"mappings":"AAAA,cAAc,wBAAwB,CAAC;AACvC,cAAc,4BAA4B,CAAC"}
\ No newline at end of file
diff --git a/build/es6/faceFeatureExtractor/loadParamsFactory.d.ts b/build/es6/faceFeatureExtractor/loadParamsFactory.d.ts
deleted file mode 100644
index eb88164e..00000000
--- a/build/es6/faceFeatureExtractor/loadParamsFactory.d.ts
+++ /dev/null
@@ -1,6 +0,0 @@
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-import { DenseBlock3Params, DenseBlock4Params } from './types';
-export declare function loadParamsFactory(weightMap: any, paramMappings: TfjsImageRecognitionBase.ParamMapping[]): {
- extractDenseBlock3Params: (prefix: string, isFirstLayer?: boolean) => DenseBlock3Params;
- extractDenseBlock4Params: (prefix: string, isFirstLayer?: boolean) => DenseBlock4Params;
-};
diff --git a/build/es6/faceFeatureExtractor/loadParamsFactory.js b/build/es6/faceFeatureExtractor/loadParamsFactory.js
deleted file mode 100644
index 5dbb2f85..00000000
--- a/build/es6/faceFeatureExtractor/loadParamsFactory.js
+++ /dev/null
@@ -1,39 +0,0 @@
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-export function loadParamsFactory(weightMap, paramMappings) {
- var extractWeightEntry = TfjsImageRecognitionBase.extractWeightEntryFactory(weightMap, paramMappings);
- function extractConvParams(prefix) {
- var filters = extractWeightEntry(prefix + "/filters", 4);
- var bias = extractWeightEntry(prefix + "/bias", 1);
- return { filters: filters, bias: bias };
- }
- function extractSeparableConvParams(prefix) {
- var depthwise_filter = extractWeightEntry(prefix + "/depthwise_filter", 4);
- var pointwise_filter = extractWeightEntry(prefix + "/pointwise_filter", 4);
- var bias = extractWeightEntry(prefix + "/bias", 1);
- return new TfjsImageRecognitionBase.SeparableConvParams(depthwise_filter, pointwise_filter, bias);
- }
- function extractDenseBlock3Params(prefix, isFirstLayer) {
- if (isFirstLayer === void 0) { isFirstLayer = false; }
- var conv0 = isFirstLayer
- ? extractConvParams(prefix + "/conv0")
- : extractSeparableConvParams(prefix + "/conv0");
- var conv1 = extractSeparableConvParams(prefix + "/conv1");
- var conv2 = extractSeparableConvParams(prefix + "/conv2");
- return { conv0: conv0, conv1: conv1, conv2: conv2 };
- }
- function extractDenseBlock4Params(prefix, isFirstLayer) {
- if (isFirstLayer === void 0) { isFirstLayer = false; }
- var conv0 = isFirstLayer
- ? extractConvParams(prefix + "/conv0")
- : extractSeparableConvParams(prefix + "/conv0");
- var conv1 = extractSeparableConvParams(prefix + "/conv1");
- var conv2 = extractSeparableConvParams(prefix + "/conv2");
- var conv3 = extractSeparableConvParams(prefix + "/conv3");
- return { conv0: conv0, conv1: conv1, conv2: conv2, conv3: conv3 };
- }
- return {
- extractDenseBlock3Params: extractDenseBlock3Params,
- extractDenseBlock4Params: extractDenseBlock4Params
- };
-}
-//# sourceMappingURL=loadParamsFactory.js.map
\ No newline at end of file
diff --git a/build/es6/faceFeatureExtractor/loadParamsFactory.js.map b/build/es6/faceFeatureExtractor/loadParamsFactory.js.map
deleted file mode 100644
index 3c68ecdf..00000000
--- a/build/es6/faceFeatureExtractor/loadParamsFactory.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"loadParamsFactory.js","sourceRoot":"","sources":["../../../src/faceFeatureExtractor/loadParamsFactory.ts"],"names":[],"mappings":"AACA,OAAO,EAAE,wBAAwB,EAAE,MAAM,6BAA6B,CAAC;AAIvE,MAAM,UAAU,iBAAiB,CAAC,SAAc,EAAE,aAAsD;IAEtG,IAAM,kBAAkB,GAAG,wBAAwB,CAAC,yBAAyB,CAAC,SAAS,EAAE,aAAa,CAAC,CAAA;IAEvG,SAAS,iBAAiB,CAAC,MAAc;QACvC,IAAM,OAAO,GAAG,kBAAkB,CAAiB,MAAM,aAAU,EAAE,CAAC,CAAC,CAAA;QACvE,IAAM,IAAI,GAAG,kBAAkB,CAAiB,MAAM,UAAO,EAAE,CAAC,CAAC,CAAA;QAEjE,OAAO,EAAE,OAAO,SAAA,EAAE,IAAI,MAAA,EAAE,CAAA;IAC1B,CAAC;IAED,SAAS,0BAA0B,CAAC,MAAc;QAChD,IAAM,gBAAgB,GAAG,kBAAkB,CAAiB,MAAM,sBAAmB,EAAE,CAAC,CAAC,CAAA;QACzF,IAAM,gBAAgB,GAAG,kBAAkB,CAAiB,MAAM,sBAAmB,EAAE,CAAC,CAAC,CAAA;QACzF,IAAM,IAAI,GAAG,kBAAkB,CAAiB,MAAM,UAAO,EAAE,CAAC,CAAC,CAAA;QAEjE,OAAO,IAAI,wBAAwB,CAAC,mBAAmB,CACrD,gBAAgB,EAChB,gBAAgB,EAChB,IAAI,CACL,CAAA;IACH,CAAC;IAED,SAAS,wBAAwB,CAAC,MAAc,EAAE,YAA6B;QAA7B,6BAAA,EAAA,oBAA6B;QAC7E,IAAM,KAAK,GAAG,YAAY;YACxB,CAAC,CAAC,iBAAiB,CAAI,MAAM,WAAQ,CAAC;YACtC,CAAC,CAAC,0BAA0B,CAAI,MAAM,WAAQ,CAAC,CAAA;QACjD,IAAM,KAAK,GAAG,0BAA0B,CAAI,MAAM,WAAQ,CAAC,CAAA;QAC3D,IAAM,KAAK,GAAG,0BAA0B,CAAI,MAAM,WAAQ,CAAC,CAAA;QAE3D,OAAO,EAAE,KAAK,OAAA,EAAE,KAAK,OAAA,EAAE,KAAK,OAAA,EAAE,CAAA;IAChC,CAAC;IAED,SAAS,wBAAwB,CAAC,MAAc,EAAE,YAA6B;QAA7B,6BAAA,EAAA,oBAA6B;QAC7E,IAAM,KAAK,GAAG,YAAY;YACxB,CAAC,CAAC,iBAAiB,CAAI,MAAM,WAAQ,CAAC;YACtC,CAAC,CAAC,0BAA0B,CAAI,MAAM,WAAQ,CAAC,CAAA;QACjD,IAAM,KAAK,GAAG,0BAA0B,CAAI,MAAM,WAAQ,CAAC,CAAA;QAC3D,IAAM,KAAK,GAAG,0BAA0B,CAAI,MAAM,WAAQ,CAAC,CAAA;QAC3D,IAAM,KAAK,GAAG,0BAA0B,CAAI,MAAM,WAAQ,CAAC,CAAA;QAE3D,OAAO,EAAE,KAAK,OAAA,EAAE,KAAK,OAAA,EAAE,KAAK,OAAA,EAAE,KAAK,OAAA,EAAE,CAAA;IACvC,CAAC;IAED,OAAO;QACL,wBAAwB,0BAAA;QACxB,wBAAwB,0BAAA;KACzB,CAAA;AACH,CAAC"}
\ No newline at end of file
diff --git a/build/es6/faceFeatureExtractor/types.d.ts b/build/es6/faceFeatureExtractor/types.d.ts
deleted file mode 100644
index b6e3a222..00000000
--- a/build/es6/faceFeatureExtractor/types.d.ts
+++ /dev/null
@@ -1,38 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { NetInput, NeuralNetwork, TNetInput, TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-export declare type ConvWithBatchNormParams = BatchNormParams & {
- filter: tf.Tensor4D;
-};
-export declare type BatchNormParams = {
- mean: tf.Tensor1D;
- variance: tf.Tensor1D;
- scale: tf.Tensor1D;
- offset: tf.Tensor1D;
-};
-export declare type SeparableConvWithBatchNormParams = {
- depthwise: ConvWithBatchNormParams;
- pointwise: ConvWithBatchNormParams;
-};
-export declare type DenseBlock3Params = {
- conv0: TfjsImageRecognitionBase.SeparableConvParams | TfjsImageRecognitionBase.ConvParams;
- conv1: TfjsImageRecognitionBase.SeparableConvParams;
- conv2: TfjsImageRecognitionBase.SeparableConvParams;
-};
-export declare type DenseBlock4Params = DenseBlock3Params & {
- conv3: TfjsImageRecognitionBase.SeparableConvParams;
-};
-export declare type TinyFaceFeatureExtractorParams = {
- dense0: DenseBlock3Params;
- dense1: DenseBlock3Params;
- dense2: DenseBlock3Params;
-};
-export declare type FaceFeatureExtractorParams = {
- dense0: DenseBlock4Params;
- dense1: DenseBlock4Params;
- dense2: DenseBlock4Params;
- dense3: DenseBlock4Params;
-};
-export interface IFaceFeatureExtractor extends NeuralNetwork {
- forwardInput(input: NetInput): tf.Tensor4D;
- forward(input: TNetInput): Promise;
-}
diff --git a/build/es6/faceFeatureExtractor/types.js b/build/es6/faceFeatureExtractor/types.js
deleted file mode 100644
index 5b2306a4..00000000
--- a/build/es6/faceFeatureExtractor/types.js
+++ /dev/null
@@ -1 +0,0 @@
-//# sourceMappingURL=types.js.map
\ No newline at end of file
diff --git a/build/es6/faceFeatureExtractor/types.js.map b/build/es6/faceFeatureExtractor/types.js.map
deleted file mode 100644
index d4dd37d8..00000000
--- a/build/es6/faceFeatureExtractor/types.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"types.js","sourceRoot":"","sources":["../../../src/faceFeatureExtractor/types.ts"],"names":[],"mappings":""}
\ No newline at end of file
diff --git a/build/es6/faceLandmarkNet/FaceLandmark68Net.d.ts b/build/es6/faceLandmarkNet/FaceLandmark68Net.d.ts
deleted file mode 100644
index ba213c97..00000000
--- a/build/es6/faceLandmarkNet/FaceLandmark68Net.d.ts
+++ /dev/null
@@ -1,8 +0,0 @@
-import { FaceFeatureExtractor } from '../faceFeatureExtractor/FaceFeatureExtractor';
-import { FaceFeatureExtractorParams } from '../faceFeatureExtractor/types';
-import { FaceLandmark68NetBase } from './FaceLandmark68NetBase';
-export declare class FaceLandmark68Net extends FaceLandmark68NetBase {
- constructor(faceFeatureExtractor?: FaceFeatureExtractor);
- protected getDefaultModelName(): string;
- protected getClassifierChannelsIn(): number;
-}
diff --git a/build/es6/faceLandmarkNet/FaceLandmark68Net.js b/build/es6/faceLandmarkNet/FaceLandmark68Net.js
deleted file mode 100644
index 0783d789..00000000
--- a/build/es6/faceLandmarkNet/FaceLandmark68Net.js
+++ /dev/null
@@ -1,19 +0,0 @@
-import * as tslib_1 from "tslib";
-import { FaceFeatureExtractor } from '../faceFeatureExtractor/FaceFeatureExtractor';
-import { FaceLandmark68NetBase } from './FaceLandmark68NetBase';
-var FaceLandmark68Net = /** @class */ (function (_super) {
- tslib_1.__extends(FaceLandmark68Net, _super);
- function FaceLandmark68Net(faceFeatureExtractor) {
- if (faceFeatureExtractor === void 0) { faceFeatureExtractor = new FaceFeatureExtractor(); }
- return _super.call(this, 'FaceLandmark68Net', faceFeatureExtractor) || this;
- }
- FaceLandmark68Net.prototype.getDefaultModelName = function () {
- return 'face_landmark_68_model';
- };
- FaceLandmark68Net.prototype.getClassifierChannelsIn = function () {
- return 256;
- };
- return FaceLandmark68Net;
-}(FaceLandmark68NetBase));
-export { FaceLandmark68Net };
-//# sourceMappingURL=FaceLandmark68Net.js.map
\ No newline at end of file
diff --git a/build/es6/faceLandmarkNet/FaceLandmark68Net.js.map b/build/es6/faceLandmarkNet/FaceLandmark68Net.js.map
deleted file mode 100644
index c10881cb..00000000
--- a/build/es6/faceLandmarkNet/FaceLandmark68Net.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"FaceLandmark68Net.js","sourceRoot":"","sources":["../../../src/faceLandmarkNet/FaceLandmark68Net.ts"],"names":[],"mappings":";AAAA,OAAO,EAAE,oBAAoB,EAAE,MAAM,8CAA8C,CAAC;AAEpF,OAAO,EAAE,qBAAqB,EAAE,MAAM,yBAAyB,CAAC;AAEhE;IAAuC,6CAAiD;IAEtF,2BAAY,oBAAuE;QAAvE,qCAAA,EAAA,2BAAiD,oBAAoB,EAAE;eACjF,kBAAM,mBAAmB,EAAE,oBAAoB,CAAC;IAClD,CAAC;IAES,+CAAmB,GAA7B;QACE,OAAO,wBAAwB,CAAA;IACjC,CAAC;IAES,mDAAuB,GAAjC;QACE,OAAO,GAAG,CAAA;IACZ,CAAC;IACH,wBAAC;AAAD,CAAC,AAbD,CAAuC,qBAAqB,GAa3D"}
\ No newline at end of file
diff --git a/build/es6/faceLandmarkNet/FaceLandmark68NetBase.d.ts b/build/es6/faceLandmarkNet/FaceLandmark68NetBase.d.ts
deleted file mode 100644
index 49c9c774..00000000
--- a/build/es6/faceLandmarkNet/FaceLandmark68NetBase.d.ts
+++ /dev/null
@@ -1,12 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { IDimensions, NetInput, TNetInput } from 'tfjs-image-recognition-base';
-import { FaceLandmarks68 } from '../classes/FaceLandmarks68';
-import { FaceFeatureExtractorParams, TinyFaceFeatureExtractorParams } from '../faceFeatureExtractor/types';
-import { FaceProcessor } from '../faceProcessor/FaceProcessor';
-export declare abstract class FaceLandmark68NetBase extends FaceProcessor {
- postProcess(output: tf.Tensor2D, inputSize: number, originalDimensions: IDimensions[]): tf.Tensor2D;
- forwardInput(input: NetInput): tf.Tensor2D;
- forward(input: TNetInput): Promise;
- detectLandmarks(input: TNetInput): Promise;
- protected getClassifierChannelsOut(): number;
-}
diff --git a/build/es6/faceLandmarkNet/FaceLandmark68NetBase.js b/build/es6/faceLandmarkNet/FaceLandmark68NetBase.js
deleted file mode 100644
index f55048cf..00000000
--- a/build/es6/faceLandmarkNet/FaceLandmark68NetBase.js
+++ /dev/null
@@ -1,112 +0,0 @@
-import * as tslib_1 from "tslib";
-import * as tf from '@tensorflow/tfjs-core';
-import { isEven, Point, toNetInput } from 'tfjs-image-recognition-base';
-import { FaceLandmarks68 } from '../classes/FaceLandmarks68';
-import { FaceProcessor } from '../faceProcessor/FaceProcessor';
-var FaceLandmark68NetBase = /** @class */ (function (_super) {
- tslib_1.__extends(FaceLandmark68NetBase, _super);
- function FaceLandmark68NetBase() {
- return _super !== null && _super.apply(this, arguments) || this;
- }
- FaceLandmark68NetBase.prototype.postProcess = function (output, inputSize, originalDimensions) {
- var inputDimensions = originalDimensions.map(function (_a) {
- var width = _a.width, height = _a.height;
- var scale = inputSize / Math.max(height, width);
- return {
- width: width * scale,
- height: height * scale
- };
- });
- var batchSize = inputDimensions.length;
- return tf.tidy(function () {
- var createInterleavedTensor = function (fillX, fillY) {
- return tf.stack([
- tf.fill([68], fillX),
- tf.fill([68], fillY)
- ], 1).as2D(1, 136).as1D();
- };
- var getPadding = function (batchIdx, cond) {
- var _a = inputDimensions[batchIdx], width = _a.width, height = _a.height;
- return cond(width, height) ? Math.abs(width - height) / 2 : 0;
- };
- var getPaddingX = function (batchIdx) { return getPadding(batchIdx, function (w, h) { return w < h; }); };
- var getPaddingY = function (batchIdx) { return getPadding(batchIdx, function (w, h) { return h < w; }); };
- var landmarkTensors = output
- .mul(tf.fill([batchSize, 136], inputSize))
- .sub(tf.stack(Array.from(Array(batchSize), function (_, batchIdx) {
- return createInterleavedTensor(getPaddingX(batchIdx), getPaddingY(batchIdx));
- })))
- .div(tf.stack(Array.from(Array(batchSize), function (_, batchIdx) {
- return createInterleavedTensor(inputDimensions[batchIdx].width, inputDimensions[batchIdx].height);
- })));
- return landmarkTensors;
- });
- };
- FaceLandmark68NetBase.prototype.forwardInput = function (input) {
- var _this = this;
- return tf.tidy(function () {
- var out = _this.runNet(input);
- return _this.postProcess(out, input.inputSize, input.inputDimensions.map(function (_a) {
- var height = _a[0], width = _a[1];
- return ({ height: height, width: width });
- }));
- });
- };
- FaceLandmark68NetBase.prototype.forward = function (input) {
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- var _a;
- return tslib_1.__generator(this, function (_b) {
- switch (_b.label) {
- case 0:
- _a = this.forwardInput;
- return [4 /*yield*/, toNetInput(input)];
- case 1: return [2 /*return*/, _a.apply(this, [_b.sent()])];
- }
- });
- });
- };
- FaceLandmark68NetBase.prototype.detectLandmarks = function (input) {
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- var netInput, landmarkTensors, landmarksForBatch;
- var _this = this;
- return tslib_1.__generator(this, function (_a) {
- switch (_a.label) {
- case 0: return [4 /*yield*/, toNetInput(input)];
- case 1:
- netInput = _a.sent();
- landmarkTensors = tf.tidy(function () { return tf.unstack(_this.forwardInput(netInput)); });
- return [4 /*yield*/, Promise.all(landmarkTensors.map(function (landmarkTensor, batchIdx) { return tslib_1.__awaiter(_this, void 0, void 0, function () {
- var landmarksArray, _a, _b, xCoords, yCoords;
- return tslib_1.__generator(this, function (_c) {
- switch (_c.label) {
- case 0:
- _b = (_a = Array).from;
- return [4 /*yield*/, landmarkTensor.data()];
- case 1:
- landmarksArray = _b.apply(_a, [_c.sent()]);
- xCoords = landmarksArray.filter(function (_, i) { return isEven(i); });
- yCoords = landmarksArray.filter(function (_, i) { return !isEven(i); });
- return [2 /*return*/, new FaceLandmarks68(Array(68).fill(0).map(function (_, i) { return new Point(xCoords[i], yCoords[i]); }), {
- height: netInput.getInputHeight(batchIdx),
- width: netInput.getInputWidth(batchIdx),
- })];
- }
- });
- }); }))];
- case 2:
- landmarksForBatch = _a.sent();
- landmarkTensors.forEach(function (t) { return t.dispose(); });
- return [2 /*return*/, netInput.isBatchInput
- ? landmarksForBatch
- : landmarksForBatch[0]];
- }
- });
- });
- };
- FaceLandmark68NetBase.prototype.getClassifierChannelsOut = function () {
- return 136;
- };
- return FaceLandmark68NetBase;
-}(FaceProcessor));
-export { FaceLandmark68NetBase };
-//# sourceMappingURL=FaceLandmark68NetBase.js.map
\ No newline at end of file
diff --git a/build/es6/faceLandmarkNet/FaceLandmark68NetBase.js.map b/build/es6/faceLandmarkNet/FaceLandmark68NetBase.js.map
deleted file mode 100644
index d16b5f9d..00000000
--- a/build/es6/faceLandmarkNet/FaceLandmark68NetBase.js.map
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/build/es6/faceLandmarkNet/FaceLandmark68TinyNet.d.ts b/build/es6/faceLandmarkNet/FaceLandmark68TinyNet.d.ts
deleted file mode 100644
index 58111879..00000000
--- a/build/es6/faceLandmarkNet/FaceLandmark68TinyNet.d.ts
+++ /dev/null
@@ -1,8 +0,0 @@
-import { TinyFaceFeatureExtractor } from '../faceFeatureExtractor/TinyFaceFeatureExtractor';
-import { TinyFaceFeatureExtractorParams } from '../faceFeatureExtractor/types';
-import { FaceLandmark68NetBase } from './FaceLandmark68NetBase';
-export declare class FaceLandmark68TinyNet extends FaceLandmark68NetBase {
- constructor(faceFeatureExtractor?: TinyFaceFeatureExtractor);
- protected getDefaultModelName(): string;
- protected getClassifierChannelsIn(): number;
-}
diff --git a/build/es6/faceLandmarkNet/FaceLandmark68TinyNet.js b/build/es6/faceLandmarkNet/FaceLandmark68TinyNet.js
deleted file mode 100644
index ce453753..00000000
--- a/build/es6/faceLandmarkNet/FaceLandmark68TinyNet.js
+++ /dev/null
@@ -1,19 +0,0 @@
-import * as tslib_1 from "tslib";
-import { TinyFaceFeatureExtractor } from '../faceFeatureExtractor/TinyFaceFeatureExtractor';
-import { FaceLandmark68NetBase } from './FaceLandmark68NetBase';
-var FaceLandmark68TinyNet = /** @class */ (function (_super) {
- tslib_1.__extends(FaceLandmark68TinyNet, _super);
- function FaceLandmark68TinyNet(faceFeatureExtractor) {
- if (faceFeatureExtractor === void 0) { faceFeatureExtractor = new TinyFaceFeatureExtractor(); }
- return _super.call(this, 'FaceLandmark68TinyNet', faceFeatureExtractor) || this;
- }
- FaceLandmark68TinyNet.prototype.getDefaultModelName = function () {
- return 'face_landmark_68_tiny_model';
- };
- FaceLandmark68TinyNet.prototype.getClassifierChannelsIn = function () {
- return 128;
- };
- return FaceLandmark68TinyNet;
-}(FaceLandmark68NetBase));
-export { FaceLandmark68TinyNet };
-//# sourceMappingURL=FaceLandmark68TinyNet.js.map
\ No newline at end of file
diff --git a/build/es6/faceLandmarkNet/FaceLandmark68TinyNet.js.map b/build/es6/faceLandmarkNet/FaceLandmark68TinyNet.js.map
deleted file mode 100644
index b8082bd2..00000000
--- a/build/es6/faceLandmarkNet/FaceLandmark68TinyNet.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"FaceLandmark68TinyNet.js","sourceRoot":"","sources":["../../../src/faceLandmarkNet/FaceLandmark68TinyNet.ts"],"names":[],"mappings":";AAAA,OAAO,EAAE,wBAAwB,EAAE,MAAM,kDAAkD,CAAC;AAE5F,OAAO,EAAE,qBAAqB,EAAE,MAAM,yBAAyB,CAAC;AAEhE;IAA2C,iDAAqD;IAE9F,+BAAY,oBAA+E;QAA/E,qCAAA,EAAA,2BAAqD,wBAAwB,EAAE;eACzF,kBAAM,uBAAuB,EAAE,oBAAoB,CAAC;IACtD,CAAC;IAES,mDAAmB,GAA7B;QACE,OAAO,6BAA6B,CAAA;IACtC,CAAC;IAES,uDAAuB,GAAjC;QACE,OAAO,GAAG,CAAA;IACZ,CAAC;IACH,4BAAC;AAAD,CAAC,AAbD,CAA2C,qBAAqB,GAa/D"}
\ No newline at end of file
diff --git a/build/es6/faceLandmarkNet/index.d.ts b/build/es6/faceLandmarkNet/index.d.ts
deleted file mode 100644
index b49c3e83..00000000
--- a/build/es6/faceLandmarkNet/index.d.ts
+++ /dev/null
@@ -1,5 +0,0 @@
-import { FaceLandmark68Net } from './FaceLandmark68Net';
-export * from './FaceLandmark68Net';
-export * from './FaceLandmark68TinyNet';
-export declare class FaceLandmarkNet extends FaceLandmark68Net {
-}
diff --git a/build/es6/faceLandmarkNet/index.js b/build/es6/faceLandmarkNet/index.js
deleted file mode 100644
index eba5e0bd..00000000
--- a/build/es6/faceLandmarkNet/index.js
+++ /dev/null
@@ -1,13 +0,0 @@
-import * as tslib_1 from "tslib";
-import { FaceLandmark68Net } from './FaceLandmark68Net';
-export * from './FaceLandmark68Net';
-export * from './FaceLandmark68TinyNet';
-var FaceLandmarkNet = /** @class */ (function (_super) {
- tslib_1.__extends(FaceLandmarkNet, _super);
- function FaceLandmarkNet() {
- return _super !== null && _super.apply(this, arguments) || this;
- }
- return FaceLandmarkNet;
-}(FaceLandmark68Net));
-export { FaceLandmarkNet };
-//# sourceMappingURL=index.js.map
\ No newline at end of file
diff --git a/build/es6/faceLandmarkNet/index.js.map b/build/es6/faceLandmarkNet/index.js.map
deleted file mode 100644
index f8176d1f..00000000
--- a/build/es6/faceLandmarkNet/index.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"index.js","sourceRoot":"","sources":["../../../src/faceLandmarkNet/index.ts"],"names":[],"mappings":";AAAA,OAAO,EAAE,iBAAiB,EAAE,MAAM,qBAAqB,CAAC;AAExD,cAAc,qBAAqB,CAAC;AACpC,cAAc,yBAAyB,CAAC;AAExC;IAAqC,2CAAiB;IAAtD;;IAAwD,CAAC;IAAD,sBAAC;AAAD,CAAC,AAAzD,CAAqC,iBAAiB,GAAG"}
\ No newline at end of file
diff --git a/build/es6/faceProcessor/FaceProcessor.d.ts b/build/es6/faceProcessor/FaceProcessor.d.ts
deleted file mode 100644
index b6d962c5..00000000
--- a/build/es6/faceProcessor/FaceProcessor.d.ts
+++ /dev/null
@@ -1,27 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { NetInput, NeuralNetwork } from 'tfjs-image-recognition-base';
-import { FaceFeatureExtractorParams, IFaceFeatureExtractor, TinyFaceFeatureExtractorParams } from '../faceFeatureExtractor/types';
-import { NetParams } from './types';
-export declare abstract class FaceProcessor extends NeuralNetwork {
- protected _faceFeatureExtractor: IFaceFeatureExtractor;
- constructor(_name: string, faceFeatureExtractor: IFaceFeatureExtractor);
- readonly faceFeatureExtractor: IFaceFeatureExtractor;
- protected abstract getDefaultModelName(): string;
- protected abstract getClassifierChannelsIn(): number;
- protected abstract getClassifierChannelsOut(): number;
- runNet(input: NetInput | tf.Tensor4D): tf.Tensor2D;
- dispose(throwOnRedispose?: boolean): void;
- loadClassifierParams(weights: Float32Array): void;
- extractClassifierParams(weights: Float32Array): {
- params: NetParams;
- paramMappings: import("tfjs-image-recognition-base/build/commonjs/common").ParamMapping[];
- };
- protected extractParamsFromWeigthMap(weightMap: tf.NamedTensorMap): {
- params: NetParams;
- paramMappings: import("tfjs-image-recognition-base/build/commonjs/common").ParamMapping[];
- };
- protected extractParams(weights: Float32Array): {
- params: NetParams;
- paramMappings: import("tfjs-image-recognition-base/build/commonjs/common").ParamMapping[];
- };
-}
diff --git a/build/es6/faceProcessor/FaceProcessor.js b/build/es6/faceProcessor/FaceProcessor.js
deleted file mode 100644
index a30f7b35..00000000
--- a/build/es6/faceProcessor/FaceProcessor.js
+++ /dev/null
@@ -1,65 +0,0 @@
-import * as tslib_1 from "tslib";
-import * as tf from '@tensorflow/tfjs-core';
-import { NetInput, NeuralNetwork } from 'tfjs-image-recognition-base';
-import { fullyConnectedLayer } from '../common/fullyConnectedLayer';
-import { extractParams } from './extractParams';
-import { extractParamsFromWeigthMap } from './extractParamsFromWeigthMap';
-import { seperateWeightMaps } from './util';
-var FaceProcessor = /** @class */ (function (_super) {
- tslib_1.__extends(FaceProcessor, _super);
- function FaceProcessor(_name, faceFeatureExtractor) {
- var _this = _super.call(this, _name) || this;
- _this._faceFeatureExtractor = faceFeatureExtractor;
- return _this;
- }
- Object.defineProperty(FaceProcessor.prototype, "faceFeatureExtractor", {
- get: function () {
- return this._faceFeatureExtractor;
- },
- enumerable: true,
- configurable: true
- });
- FaceProcessor.prototype.runNet = function (input) {
- var _this = this;
- var params = this.params;
- if (!params) {
- throw new Error(this._name + " - load model before inference");
- }
- return tf.tidy(function () {
- var bottleneckFeatures = input instanceof NetInput
- ? _this.faceFeatureExtractor.forwardInput(input)
- : input;
- return fullyConnectedLayer(bottleneckFeatures.as2D(bottleneckFeatures.shape[0], -1), params.fc);
- });
- };
- FaceProcessor.prototype.dispose = function (throwOnRedispose) {
- if (throwOnRedispose === void 0) { throwOnRedispose = true; }
- this.faceFeatureExtractor.dispose(throwOnRedispose);
- _super.prototype.dispose.call(this, throwOnRedispose);
- };
- FaceProcessor.prototype.loadClassifierParams = function (weights) {
- var _a = this.extractClassifierParams(weights), params = _a.params, paramMappings = _a.paramMappings;
- this._params = params;
- this._paramMappings = paramMappings;
- };
- FaceProcessor.prototype.extractClassifierParams = function (weights) {
- return extractParams(weights, this.getClassifierChannelsIn(), this.getClassifierChannelsOut());
- };
- FaceProcessor.prototype.extractParamsFromWeigthMap = function (weightMap) {
- var _a = seperateWeightMaps(weightMap), featureExtractorMap = _a.featureExtractorMap, classifierMap = _a.classifierMap;
- this.faceFeatureExtractor.loadFromWeightMap(featureExtractorMap);
- return extractParamsFromWeigthMap(classifierMap);
- };
- FaceProcessor.prototype.extractParams = function (weights) {
- var cIn = this.getClassifierChannelsIn();
- var cOut = this.getClassifierChannelsOut();
- var classifierWeightSize = (cOut * cIn) + cOut;
- var featureExtractorWeights = weights.slice(0, weights.length - classifierWeightSize);
- var classifierWeights = weights.slice(weights.length - classifierWeightSize);
- this.faceFeatureExtractor.extractWeights(featureExtractorWeights);
- return this.extractClassifierParams(classifierWeights);
- };
- return FaceProcessor;
-}(NeuralNetwork));
-export { FaceProcessor };
-//# sourceMappingURL=FaceProcessor.js.map
\ No newline at end of file
diff --git a/build/es6/faceProcessor/FaceProcessor.js.map b/build/es6/faceProcessor/FaceProcessor.js.map
deleted file mode 100644
index d05c2bbd..00000000
--- a/build/es6/faceProcessor/FaceProcessor.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"FaceProcessor.js","sourceRoot":"","sources":["../../../src/faceProcessor/FaceProcessor.ts"],"names":[],"mappings":";AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAC5C,OAAO,EAAE,QAAQ,EAAE,aAAa,EAAE,MAAM,6BAA6B,CAAC;AAEtE,OAAO,EAAE,mBAAmB,EAAE,MAAM,+BAA+B,CAAC;AAMpE,OAAO,EAAE,aAAa,EAAE,MAAM,iBAAiB,CAAC;AAChD,OAAO,EAAE,0BAA0B,EAAE,MAAM,8BAA8B,CAAC;AAE1E,OAAO,EAAE,kBAAkB,EAAE,MAAM,QAAQ,CAAC;AAE5C;IAGU,yCAAwB;IAIhC,uBAAY,KAAa,EAAE,oBAA6D;QAAxF,YACE,kBAAM,KAAK,CAAC,SAEb;QADC,KAAI,CAAC,qBAAqB,GAAG,oBAAoB,CAAA;;IACnD,CAAC;IAED,sBAAW,+CAAoB;aAA/B;YACE,OAAO,IAAI,CAAC,qBAAqB,CAAA;QACnC,CAAC;;;OAAA;IAMM,8BAAM,GAAb,UAAc,KAA6B;QAA3C,iBAcC;QAZS,IAAA,oBAAM,CAAS;QAEvB,IAAI,CAAC,MAAM,EAAE;YACX,MAAM,IAAI,KAAK,CAAI,IAAI,CAAC,KAAK,mCAAgC,CAAC,CAAA;SAC/D;QAED,OAAO,EAAE,CAAC,IAAI,CAAC;YACb,IAAM,kBAAkB,GAAG,KAAK,YAAY,QAAQ;gBAClD,CAAC,CAAC,KAAI,CAAC,oBAAoB,CAAC,YAAY,CAAC,KAAK,CAAC;gBAC/C,CAAC,CAAC,KAAK,CAAA;YACT,OAAO,mBAAmB,CAAC,kBAAkB,CAAC,IAAI,CAAC,kBAAkB,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,EAAE,MAAM,CAAC,EAAE,CAAC,CAAA;QACjG,CAAC,CAAC,CAAA;IACJ,CAAC;IAEM,+BAAO,GAAd,UAAe,gBAAgC;QAAhC,iCAAA,EAAA,uBAAgC;QAC7C,IAAI,CAAC,oBAAoB,CAAC,OAAO,CAAC,gBAAgB,CAAC,CAAA;QACnD,iBAAM,OAAO,YAAC,gBAAgB,CAAC,CAAA;IACjC,CAAC;IAEM,4CAAoB,GAA3B,UAA4B,OAAqB;QACzC,IAAA,0CAAiE,EAA/D,kBAAM,EAAE,gCAAuD,CAAA;QACvE,IAAI,CAAC,OAAO,GAAG,MAAM,CAAA;QACrB,IAAI,CAAC,cAAc,GAAG,aAAa,CAAA;IACrC,CAAC;IAEM,+CAAuB,GAA9B,UAA+B,OAAqB;QAClD,OAAO,aAAa,CAAC,OAAO,EAAE,IAAI,CAAC,uBAAuB,EAAE,EAAE,IAAI,CAAC,wBAAwB,EAAE,CAAC,CAAA;IAChG,CAAC;IAES,kDAA0B,GAApC,UAAqC,SAA4B;QAEzD,IAAA,kCAAsE,EAApE,4CAAmB,EAAE,gCAA+C,CAAA;QAE5E,IAAI,CAAC,oBAAoB,CAAC,iBAAiB,CAAC,mBAAmB,CAAC,CAAA;QAEhE,OAAO,0BAA0B,CAAC,aAAa,CAAC,CAAA;IAClD,CAAC;IAES,qCAAa,GAAvB,UAAwB,OAAqB;QAE3C,IAAM,GAAG,GAAG,IAAI,CAAC,uBAAuB,EAAE,CAAA;QAC1C,IAAM,IAAI,GAAG,IAAI,CAAC,wBAAwB,EAAE,CAAA;QAC5C,IAAM,oBAAoB,GAAG,CAAC,IAAI,GAAG,GAAG,CAAE,GAAG,IAAI,CAAA;QAEjD,IAAM,uBAAuB,GAAG,OAAO,CAAC,KAAK,CAAC,CAAC,EAAE,OAAO,CAAC,MAAM,GAAG,oBAAoB,CAAC,CAAA;QACvF,IAAM,iBAAiB,GAAG,OAAO,CAAC,KAAK,CAAC,OAAO,CAAC,MAAM,GAAG,oBAAoB,CAAC,CAAA;QAE9E,IAAI,CAAC,oBAAoB,CAAC,cAAc,CAAC,uBAAuB,CAAC,CAAA;QACjE,OAAO,IAAI,CAAC,uBAAuB,CAAC,iBAAiB,CAAC,CAAA;IACxD,CAAC;IACH,oBAAC;AAAD,CAAC,AAxED,CAGU,aAAa,GAqEtB"}
\ No newline at end of file
diff --git a/build/es6/faceProcessor/extractParams.d.ts b/build/es6/faceProcessor/extractParams.d.ts
deleted file mode 100644
index 950e0aab..00000000
--- a/build/es6/faceProcessor/extractParams.d.ts
+++ /dev/null
@@ -1,6 +0,0 @@
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-import { NetParams } from './types';
-export declare function extractParams(weights: Float32Array, channelsIn: number, channelsOut: number): {
- params: NetParams;
- paramMappings: TfjsImageRecognitionBase.ParamMapping[];
-};
diff --git a/build/es6/faceProcessor/extractParams.js b/build/es6/faceProcessor/extractParams.js
deleted file mode 100644
index 12751707..00000000
--- a/build/es6/faceProcessor/extractParams.js
+++ /dev/null
@@ -1,15 +0,0 @@
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-export function extractParams(weights, channelsIn, channelsOut) {
- var paramMappings = [];
- var _a = TfjsImageRecognitionBase.extractWeightsFactory(weights), extractWeights = _a.extractWeights, getRemainingWeights = _a.getRemainingWeights;
- var extractFCParams = TfjsImageRecognitionBase.extractFCParamsFactory(extractWeights, paramMappings);
- var fc = extractFCParams(channelsIn, channelsOut, 'fc');
- if (getRemainingWeights().length !== 0) {
- throw new Error("weights remaing after extract: " + getRemainingWeights().length);
- }
- return {
- paramMappings: paramMappings,
- params: { fc: fc }
- };
-}
-//# sourceMappingURL=extractParams.js.map
\ No newline at end of file
diff --git a/build/es6/faceProcessor/extractParams.js.map b/build/es6/faceProcessor/extractParams.js.map
deleted file mode 100644
index 56a3d0e5..00000000
--- a/build/es6/faceProcessor/extractParams.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"extractParams.js","sourceRoot":"","sources":["../../../src/faceProcessor/extractParams.ts"],"names":[],"mappings":"AAAA,OAAO,EAAE,wBAAwB,EAAE,MAAM,6BAA6B,CAAC;AAIvE,MAAM,UAAU,aAAa,CAAC,OAAqB,EAAE,UAAkB,EAAE,WAAmB;IAE1F,IAAM,aAAa,GAA4C,EAAE,CAAA;IAE3D,IAAA,4DAGqD,EAFzD,kCAAc,EACd,4CACyD,CAAA;IAE3D,IAAM,eAAe,GAAG,wBAAwB,CAAC,sBAAsB,CAAC,cAAc,EAAE,aAAa,CAAC,CAAA;IAEtG,IAAM,EAAE,GAAG,eAAe,CAAC,UAAU,EAAE,WAAW,EAAE,IAAI,CAAC,CAAA;IAEzD,IAAI,mBAAmB,EAAE,CAAC,MAAM,KAAK,CAAC,EAAE;QACtC,MAAM,IAAI,KAAK,CAAC,oCAAkC,mBAAmB,EAAE,CAAC,MAAQ,CAAC,CAAA;KAClF;IAED,OAAO;QACL,aAAa,eAAA;QACb,MAAM,EAAE,EAAE,EAAE,IAAA,EAAE;KACf,CAAA;AACH,CAAC"}
\ No newline at end of file
diff --git a/build/es6/faceProcessor/extractParamsFromWeigthMap.d.ts b/build/es6/faceProcessor/extractParamsFromWeigthMap.d.ts
deleted file mode 100644
index 7bf5a66d..00000000
--- a/build/es6/faceProcessor/extractParamsFromWeigthMap.d.ts
+++ /dev/null
@@ -1,7 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-import { NetParams } from './types';
-export declare function extractParamsFromWeigthMap(weightMap: tf.NamedTensorMap): {
- params: NetParams;
- paramMappings: TfjsImageRecognitionBase.ParamMapping[];
-};
diff --git a/build/es6/faceProcessor/extractParamsFromWeigthMap.js b/build/es6/faceProcessor/extractParamsFromWeigthMap.js
deleted file mode 100644
index 44fa08ee..00000000
--- a/build/es6/faceProcessor/extractParamsFromWeigthMap.js
+++ /dev/null
@@ -1,16 +0,0 @@
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-export function extractParamsFromWeigthMap(weightMap) {
- var paramMappings = [];
- var extractWeightEntry = TfjsImageRecognitionBase.extractWeightEntryFactory(weightMap, paramMappings);
- function extractFcParams(prefix) {
- var weights = extractWeightEntry(prefix + "/weights", 2);
- var bias = extractWeightEntry(prefix + "/bias", 1);
- return { weights: weights, bias: bias };
- }
- var params = {
- fc: extractFcParams('fc')
- };
- TfjsImageRecognitionBase.disposeUnusedWeightTensors(weightMap, paramMappings);
- return { params: params, paramMappings: paramMappings };
-}
-//# sourceMappingURL=extractParamsFromWeigthMap.js.map
\ No newline at end of file
diff --git a/build/es6/faceProcessor/extractParamsFromWeigthMap.js.map b/build/es6/faceProcessor/extractParamsFromWeigthMap.js.map
deleted file mode 100644
index 88b8f074..00000000
--- a/build/es6/faceProcessor/extractParamsFromWeigthMap.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"extractParamsFromWeigthMap.js","sourceRoot":"","sources":["../../../src/faceProcessor/extractParamsFromWeigthMap.ts"],"names":[],"mappings":"AACA,OAAO,EAAE,wBAAwB,EAAE,MAAM,6BAA6B,CAAC;AAIvE,MAAM,UAAU,0BAA0B,CACxC,SAA4B;IAG5B,IAAM,aAAa,GAA4C,EAAE,CAAA;IAEjE,IAAM,kBAAkB,GAAG,wBAAwB,CAAC,yBAAyB,CAAC,SAAS,EAAE,aAAa,CAAC,CAAA;IAEvG,SAAS,eAAe,CAAC,MAAc;QACrC,IAAM,OAAO,GAAG,kBAAkB,CAAiB,MAAM,aAAU,EAAE,CAAC,CAAC,CAAA;QACvE,IAAM,IAAI,GAAG,kBAAkB,CAAiB,MAAM,UAAO,EAAE,CAAC,CAAC,CAAA;QACjE,OAAO,EAAE,OAAO,SAAA,EAAE,IAAI,MAAA,EAAE,CAAA;IAC1B,CAAC;IAED,IAAM,MAAM,GAAG;QACb,EAAE,EAAE,eAAe,CAAC,IAAI,CAAC;KAC1B,CAAA;IAED,wBAAwB,CAAC,0BAA0B,CAAC,SAAS,EAAE,aAAa,CAAC,CAAA;IAE7E,OAAO,EAAE,MAAM,QAAA,EAAE,aAAa,eAAA,EAAE,CAAA;AAClC,CAAC"}
\ No newline at end of file
diff --git a/build/es6/faceProcessor/index.d.ts b/build/es6/faceProcessor/index.d.ts
deleted file mode 100644
index 9e98e7d8..00000000
--- a/build/es6/faceProcessor/index.d.ts
+++ /dev/null
@@ -1 +0,0 @@
-export * from './FaceProcessor';
diff --git a/build/es6/faceProcessor/index.js b/build/es6/faceProcessor/index.js
deleted file mode 100644
index 43ae5c6f..00000000
--- a/build/es6/faceProcessor/index.js
+++ /dev/null
@@ -1,2 +0,0 @@
-export * from './FaceProcessor';
-//# sourceMappingURL=index.js.map
\ No newline at end of file
diff --git a/build/es6/faceProcessor/index.js.map b/build/es6/faceProcessor/index.js.map
deleted file mode 100644
index 41e37046..00000000
--- a/build/es6/faceProcessor/index.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"index.js","sourceRoot":"","sources":["../../../src/faceProcessor/index.ts"],"names":[],"mappings":"AAAA,cAAc,iBAAiB,CAAC"}
\ No newline at end of file
diff --git a/build/es6/faceProcessor/types.d.ts b/build/es6/faceProcessor/types.d.ts
deleted file mode 100644
index 3cc54402..00000000
--- a/build/es6/faceProcessor/types.d.ts
+++ /dev/null
@@ -1,4 +0,0 @@
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-export declare type NetParams = {
- fc: TfjsImageRecognitionBase.FCParams;
-};
diff --git a/build/es6/faceProcessor/types.js b/build/es6/faceProcessor/types.js
deleted file mode 100644
index 5b2306a4..00000000
--- a/build/es6/faceProcessor/types.js
+++ /dev/null
@@ -1 +0,0 @@
-//# sourceMappingURL=types.js.map
\ No newline at end of file
diff --git a/build/es6/faceProcessor/types.js.map b/build/es6/faceProcessor/types.js.map
deleted file mode 100644
index 42a7693f..00000000
--- a/build/es6/faceProcessor/types.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"types.js","sourceRoot":"","sources":["../../../src/faceProcessor/types.ts"],"names":[],"mappings":""}
\ No newline at end of file
diff --git a/build/es6/faceProcessor/util.d.ts b/build/es6/faceProcessor/util.d.ts
deleted file mode 100644
index e28fedc0..00000000
--- a/build/es6/faceProcessor/util.d.ts
+++ /dev/null
@@ -1,5 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-export declare function seperateWeightMaps(weightMap: tf.NamedTensorMap): {
- featureExtractorMap: tf.NamedTensorMap;
- classifierMap: tf.NamedTensorMap;
-};
diff --git a/build/es6/faceProcessor/util.js b/build/es6/faceProcessor/util.js
deleted file mode 100644
index 66558e9c..00000000
--- a/build/es6/faceProcessor/util.js
+++ /dev/null
@@ -1,10 +0,0 @@
-export function seperateWeightMaps(weightMap) {
- var featureExtractorMap = {};
- var classifierMap = {};
- Object.keys(weightMap).forEach(function (key) {
- var map = key.startsWith('fc') ? classifierMap : featureExtractorMap;
- map[key] = weightMap[key];
- });
- return { featureExtractorMap: featureExtractorMap, classifierMap: classifierMap };
-}
-//# sourceMappingURL=util.js.map
\ No newline at end of file
diff --git a/build/es6/faceProcessor/util.js.map b/build/es6/faceProcessor/util.js.map
deleted file mode 100644
index 8fbf47ad..00000000
--- a/build/es6/faceProcessor/util.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"util.js","sourceRoot":"","sources":["../../../src/faceProcessor/util.ts"],"names":[],"mappings":"AAEA,MAAM,UAAU,kBAAkB,CAAC,SAA4B;IAE7D,IAAM,mBAAmB,GAAsB,EAAE,CAAA;IACjD,IAAM,aAAa,GAAsB,EAAE,CAAA;IAE3C,MAAM,CAAC,IAAI,CAAC,SAAS,CAAC,CAAC,OAAO,CAAC,UAAA,GAAG;QAChC,IAAM,GAAG,GAAG,GAAG,CAAC,UAAU,CAAC,IAAI,CAAC,CAAC,CAAC,CAAC,aAAa,CAAC,CAAC,CAAC,mBAAmB,CAAA;QACtE,GAAG,CAAC,GAAG,CAAC,GAAG,SAAS,CAAC,GAAG,CAAC,CAAA;IAC3B,CAAC,CAAC,CAAA;IAEF,OAAO,EAAE,mBAAmB,qBAAA,EAAE,aAAa,eAAA,EAAE,CAAA;AAE/C,CAAC"}
\ No newline at end of file
diff --git a/build/es6/faceRecognitionNet/FaceRecognitionNet.d.ts b/build/es6/faceRecognitionNet/FaceRecognitionNet.d.ts
deleted file mode 100644
index 1fd59dab..00000000
--- a/build/es6/faceRecognitionNet/FaceRecognitionNet.d.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { NetInput, NeuralNetwork, TNetInput } from 'tfjs-image-recognition-base';
-import { NetParams } from './types';
-export declare class FaceRecognitionNet extends NeuralNetwork {
- constructor();
- forwardInput(input: NetInput): tf.Tensor2D;
- forward(input: TNetInput): Promise;
- computeFaceDescriptor(input: TNetInput): Promise;
- protected getDefaultModelName(): string;
- protected extractParamsFromWeigthMap(weightMap: tf.NamedTensorMap): {
- params: NetParams;
- paramMappings: import("tfjs-image-recognition-base/build/commonjs/common").ParamMapping[];
- };
- protected extractParams(weights: Float32Array): {
- params: NetParams;
- paramMappings: import("tfjs-image-recognition-base/build/commonjs/common").ParamMapping[];
- };
-}
diff --git a/build/es6/faceRecognitionNet/FaceRecognitionNet.js b/build/es6/faceRecognitionNet/FaceRecognitionNet.js
deleted file mode 100644
index 99865f9e..00000000
--- a/build/es6/faceRecognitionNet/FaceRecognitionNet.js
+++ /dev/null
@@ -1,89 +0,0 @@
-import * as tslib_1 from "tslib";
-import * as tf from '@tensorflow/tfjs-core';
-import { NeuralNetwork, normalize, toNetInput } from 'tfjs-image-recognition-base';
-import { convDown } from './convLayer';
-import { extractParams } from './extractParams';
-import { extractParamsFromWeigthMap } from './extractParamsFromWeigthMap';
-import { residual, residualDown } from './residualLayer';
-var FaceRecognitionNet = /** @class */ (function (_super) {
- tslib_1.__extends(FaceRecognitionNet, _super);
- function FaceRecognitionNet() {
- return _super.call(this, 'FaceRecognitionNet') || this;
- }
- FaceRecognitionNet.prototype.forwardInput = function (input) {
- var params = this.params;
- if (!params) {
- throw new Error('FaceRecognitionNet - load model before inference');
- }
- return tf.tidy(function () {
- var batchTensor = input.toBatchTensor(150, true).toFloat();
- var meanRgb = [122.782, 117.001, 104.298];
- var normalized = normalize(batchTensor, meanRgb).div(tf.scalar(256));
- var out = convDown(normalized, params.conv32_down);
- out = tf.maxPool(out, 3, 2, 'valid');
- out = residual(out, params.conv32_1);
- out = residual(out, params.conv32_2);
- out = residual(out, params.conv32_3);
- out = residualDown(out, params.conv64_down);
- out = residual(out, params.conv64_1);
- out = residual(out, params.conv64_2);
- out = residual(out, params.conv64_3);
- out = residualDown(out, params.conv128_down);
- out = residual(out, params.conv128_1);
- out = residual(out, params.conv128_2);
- out = residualDown(out, params.conv256_down);
- out = residual(out, params.conv256_1);
- out = residual(out, params.conv256_2);
- out = residualDown(out, params.conv256_down_out);
- var globalAvg = out.mean([1, 2]);
- var fullyConnected = tf.matMul(globalAvg, params.fc);
- return fullyConnected;
- });
- };
- FaceRecognitionNet.prototype.forward = function (input) {
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- var _a;
- return tslib_1.__generator(this, function (_b) {
- switch (_b.label) {
- case 0:
- _a = this.forwardInput;
- return [4 /*yield*/, toNetInput(input)];
- case 1: return [2 /*return*/, _a.apply(this, [_b.sent()])];
- }
- });
- });
- };
- FaceRecognitionNet.prototype.computeFaceDescriptor = function (input) {
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- var netInput, faceDescriptorTensors, faceDescriptorsForBatch;
- var _this = this;
- return tslib_1.__generator(this, function (_a) {
- switch (_a.label) {
- case 0: return [4 /*yield*/, toNetInput(input)];
- case 1:
- netInput = _a.sent();
- faceDescriptorTensors = tf.tidy(function () { return tf.unstack(_this.forwardInput(netInput)); });
- return [4 /*yield*/, Promise.all(faceDescriptorTensors.map(function (t) { return t.data(); }))];
- case 2:
- faceDescriptorsForBatch = _a.sent();
- faceDescriptorTensors.forEach(function (t) { return t.dispose(); });
- return [2 /*return*/, netInput.isBatchInput
- ? faceDescriptorsForBatch
- : faceDescriptorsForBatch[0]];
- }
- });
- });
- };
- FaceRecognitionNet.prototype.getDefaultModelName = function () {
- return 'face_recognition_model';
- };
- FaceRecognitionNet.prototype.extractParamsFromWeigthMap = function (weightMap) {
- return extractParamsFromWeigthMap(weightMap);
- };
- FaceRecognitionNet.prototype.extractParams = function (weights) {
- return extractParams(weights);
- };
- return FaceRecognitionNet;
-}(NeuralNetwork));
-export { FaceRecognitionNet };
-//# sourceMappingURL=FaceRecognitionNet.js.map
\ No newline at end of file
diff --git a/build/es6/faceRecognitionNet/FaceRecognitionNet.js.map b/build/es6/faceRecognitionNet/FaceRecognitionNet.js.map
deleted file mode 100644
index f5e65745..00000000
--- a/build/es6/faceRecognitionNet/FaceRecognitionNet.js.map
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/build/es6/faceRecognitionNet/convLayer.d.ts b/build/es6/faceRecognitionNet/convLayer.d.ts
deleted file mode 100644
index a750f6c4..00000000
--- a/build/es6/faceRecognitionNet/convLayer.d.ts
+++ /dev/null
@@ -1,5 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { ConvLayerParams } from './types';
-export declare function conv(x: tf.Tensor4D, params: ConvLayerParams): tf.Tensor;
-export declare function convNoRelu(x: tf.Tensor4D, params: ConvLayerParams): tf.Tensor;
-export declare function convDown(x: tf.Tensor4D, params: ConvLayerParams): tf.Tensor;
diff --git a/build/es6/faceRecognitionNet/convLayer.js b/build/es6/faceRecognitionNet/convLayer.js
deleted file mode 100644
index e5d61651..00000000
--- a/build/es6/faceRecognitionNet/convLayer.js
+++ /dev/null
@@ -1,20 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { scale } from './scaleLayer';
-function convLayer(x, params, strides, withRelu, padding) {
- if (padding === void 0) { padding = 'same'; }
- var _a = params.conv, filters = _a.filters, bias = _a.bias;
- var out = tf.conv2d(x, filters, strides, padding);
- out = tf.add(out, bias);
- out = scale(out, params.scale);
- return withRelu ? tf.relu(out) : out;
-}
-export function conv(x, params) {
- return convLayer(x, params, [1, 1], true);
-}
-export function convNoRelu(x, params) {
- return convLayer(x, params, [1, 1], false);
-}
-export function convDown(x, params) {
- return convLayer(x, params, [2, 2], true, 'valid');
-}
-//# sourceMappingURL=convLayer.js.map
\ No newline at end of file
diff --git a/build/es6/faceRecognitionNet/convLayer.js.map b/build/es6/faceRecognitionNet/convLayer.js.map
deleted file mode 100644
index abb716ad..00000000
--- a/build/es6/faceRecognitionNet/convLayer.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"convLayer.js","sourceRoot":"","sources":["../../../src/faceRecognitionNet/convLayer.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAE5C,OAAO,EAAE,KAAK,EAAE,MAAM,cAAc,CAAC;AAIrC,SAAS,SAAS,CAChB,CAAc,EACd,MAAuB,EACvB,OAAyB,EACzB,QAAiB,EACjB,OAAkC;IAAlC,wBAAA,EAAA,gBAAkC;IAE5B,IAAA,gBAA+B,EAA7B,oBAAO,EAAE,cAAoB,CAAA;IAErC,IAAI,GAAG,GAAG,EAAE,CAAC,MAAM,CAAC,CAAC,EAAE,OAAO,EAAE,OAAO,EAAE,OAAO,CAAC,CAAA;IACjD,GAAG,GAAG,EAAE,CAAC,GAAG,CAAC,GAAG,EAAE,IAAI,CAAC,CAAA;IACvB,GAAG,GAAG,KAAK,CAAC,GAAG,EAAE,MAAM,CAAC,KAAK,CAAC,CAAA;IAC9B,OAAO,QAAQ,CAAC,CAAC,CAAC,EAAE,CAAC,IAAI,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,GAAG,CAAA;AACtC,CAAC;AAED,MAAM,UAAU,IAAI,CAAC,CAAc,EAAE,MAAuB;IAC1D,OAAO,SAAS,CAAC,CAAC,EAAE,MAAM,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,IAAI,CAAC,CAAA;AAC3C,CAAC;AAED,MAAM,UAAU,UAAU,CAAC,CAAc,EAAE,MAAuB;IAChE,OAAO,SAAS,CAAC,CAAC,EAAE,MAAM,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,KAAK,CAAC,CAAA;AAC5C,CAAC;AAED,MAAM,UAAU,QAAQ,CAAC,CAAc,EAAE,MAAuB;IAC9D,OAAO,SAAS,CAAC,CAAC,EAAE,MAAM,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,IAAI,EAAE,OAAO,CAAC,CAAA;AACpD,CAAC"}
\ No newline at end of file
diff --git a/build/es6/faceRecognitionNet/extractParams.d.ts b/build/es6/faceRecognitionNet/extractParams.d.ts
deleted file mode 100644
index 14d45d2b..00000000
--- a/build/es6/faceRecognitionNet/extractParams.d.ts
+++ /dev/null
@@ -1,6 +0,0 @@
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-import { NetParams } from './types';
-export declare function extractParams(weights: Float32Array): {
- params: NetParams;
- paramMappings: TfjsImageRecognitionBase.ParamMapping[];
-};
diff --git a/build/es6/faceRecognitionNet/extractParams.js b/build/es6/faceRecognitionNet/extractParams.js
deleted file mode 100644
index d32fa899..00000000
--- a/build/es6/faceRecognitionNet/extractParams.js
+++ /dev/null
@@ -1,87 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { isFloat, TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-function extractorsFactory(extractWeights, paramMappings) {
- function extractFilterValues(numFilterValues, numFilters, filterSize) {
- var weights = extractWeights(numFilterValues);
- var depth = weights.length / (numFilters * filterSize * filterSize);
- if (isFloat(depth)) {
- throw new Error("depth has to be an integer: " + depth + ", weights.length: " + weights.length + ", numFilters: " + numFilters + ", filterSize: " + filterSize);
- }
- return tf.tidy(function () { return tf.transpose(tf.tensor4d(weights, [numFilters, depth, filterSize, filterSize]), [2, 3, 1, 0]); });
- }
- function extractConvParams(numFilterValues, numFilters, filterSize, mappedPrefix) {
- var filters = extractFilterValues(numFilterValues, numFilters, filterSize);
- var bias = tf.tensor1d(extractWeights(numFilters));
- paramMappings.push({ paramPath: mappedPrefix + "/filters" }, { paramPath: mappedPrefix + "/bias" });
- return { filters: filters, bias: bias };
- }
- function extractScaleLayerParams(numWeights, mappedPrefix) {
- var weights = tf.tensor1d(extractWeights(numWeights));
- var biases = tf.tensor1d(extractWeights(numWeights));
- paramMappings.push({ paramPath: mappedPrefix + "/weights" }, { paramPath: mappedPrefix + "/biases" });
- return {
- weights: weights,
- biases: biases
- };
- }
- function extractConvLayerParams(numFilterValues, numFilters, filterSize, mappedPrefix) {
- var conv = extractConvParams(numFilterValues, numFilters, filterSize, mappedPrefix + "/conv");
- var scale = extractScaleLayerParams(numFilters, mappedPrefix + "/scale");
- return { conv: conv, scale: scale };
- }
- function extractResidualLayerParams(numFilterValues, numFilters, filterSize, mappedPrefix, isDown) {
- if (isDown === void 0) { isDown = false; }
- var conv1 = extractConvLayerParams((isDown ? 0.5 : 1) * numFilterValues, numFilters, filterSize, mappedPrefix + "/conv1");
- var conv2 = extractConvLayerParams(numFilterValues, numFilters, filterSize, mappedPrefix + "/conv2");
- return { conv1: conv1, conv2: conv2 };
- }
- return {
- extractConvLayerParams: extractConvLayerParams,
- extractResidualLayerParams: extractResidualLayerParams
- };
-}
-export function extractParams(weights) {
- var _a = TfjsImageRecognitionBase.extractWeightsFactory(weights), extractWeights = _a.extractWeights, getRemainingWeights = _a.getRemainingWeights;
- var paramMappings = [];
- var _b = extractorsFactory(extractWeights, paramMappings), extractConvLayerParams = _b.extractConvLayerParams, extractResidualLayerParams = _b.extractResidualLayerParams;
- var conv32_down = extractConvLayerParams(4704, 32, 7, 'conv32_down');
- var conv32_1 = extractResidualLayerParams(9216, 32, 3, 'conv32_1');
- var conv32_2 = extractResidualLayerParams(9216, 32, 3, 'conv32_2');
- var conv32_3 = extractResidualLayerParams(9216, 32, 3, 'conv32_3');
- var conv64_down = extractResidualLayerParams(36864, 64, 3, 'conv64_down', true);
- var conv64_1 = extractResidualLayerParams(36864, 64, 3, 'conv64_1');
- var conv64_2 = extractResidualLayerParams(36864, 64, 3, 'conv64_2');
- var conv64_3 = extractResidualLayerParams(36864, 64, 3, 'conv64_3');
- var conv128_down = extractResidualLayerParams(147456, 128, 3, 'conv128_down', true);
- var conv128_1 = extractResidualLayerParams(147456, 128, 3, 'conv128_1');
- var conv128_2 = extractResidualLayerParams(147456, 128, 3, 'conv128_2');
- var conv256_down = extractResidualLayerParams(589824, 256, 3, 'conv256_down', true);
- var conv256_1 = extractResidualLayerParams(589824, 256, 3, 'conv256_1');
- var conv256_2 = extractResidualLayerParams(589824, 256, 3, 'conv256_2');
- var conv256_down_out = extractResidualLayerParams(589824, 256, 3, 'conv256_down_out');
- var fc = tf.tidy(function () { return tf.transpose(tf.tensor2d(extractWeights(256 * 128), [128, 256]), [1, 0]); });
- paramMappings.push({ paramPath: "fc" });
- if (getRemainingWeights().length !== 0) {
- throw new Error("weights remaing after extract: " + getRemainingWeights().length);
- }
- var params = {
- conv32_down: conv32_down,
- conv32_1: conv32_1,
- conv32_2: conv32_2,
- conv32_3: conv32_3,
- conv64_down: conv64_down,
- conv64_1: conv64_1,
- conv64_2: conv64_2,
- conv64_3: conv64_3,
- conv128_down: conv128_down,
- conv128_1: conv128_1,
- conv128_2: conv128_2,
- conv256_down: conv256_down,
- conv256_1: conv256_1,
- conv256_2: conv256_2,
- conv256_down_out: conv256_down_out,
- fc: fc
- };
- return { params: params, paramMappings: paramMappings };
-}
-//# sourceMappingURL=extractParams.js.map
\ No newline at end of file
diff --git a/build/es6/faceRecognitionNet/extractParams.js.map b/build/es6/faceRecognitionNet/extractParams.js.map
deleted file mode 100644
index 910e51a0..00000000
--- a/build/es6/faceRecognitionNet/extractParams.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"extractParams.js","sourceRoot":"","sources":["../../../src/faceRecognitionNet/extractParams.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAC5C,OAAO,EAAE,OAAO,EAAE,wBAAwB,EAAE,MAAM,6BAA6B,CAAC;AAIhF,SAAS,iBAAiB,CAAC,cAA+D,EAAE,aAAsD;IAEhJ,SAAS,mBAAmB,CAAC,eAAuB,EAAE,UAAkB,EAAE,UAAkB;QAC1F,IAAM,OAAO,GAAG,cAAc,CAAC,eAAe,CAAC,CAAA;QAC/C,IAAM,KAAK,GAAG,OAAO,CAAC,MAAM,GAAG,CAAC,UAAU,GAAG,UAAU,GAAG,UAAU,CAAC,CAAA;QAErE,IAAI,OAAO,CAAC,KAAK,CAAC,EAAE;YAClB,MAAM,IAAI,KAAK,CAAC,iCAA+B,KAAK,0BAAqB,OAAO,CAAC,MAAM,sBAAiB,UAAU,sBAAiB,UAAY,CAAC,CAAA;SACjJ;QAED,OAAO,EAAE,CAAC,IAAI,CACZ,cAAM,OAAA,EAAE,CAAC,SAAS,CAChB,EAAE,CAAC,QAAQ,CAAC,OAAO,EAAE,CAAC,UAAU,EAAE,KAAK,EAAE,UAAU,EAAE,UAAU,CAAC,CAAC,EACjE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CACb,EAHK,CAGL,CACF,CAAA;IACH,CAAC;IAED,SAAS,iBAAiB,CACxB,eAAuB,EACvB,UAAkB,EAClB,UAAkB,EAClB,YAAoB;QAGpB,IAAM,OAAO,GAAG,mBAAmB,CAAC,eAAe,EAAE,UAAU,EAAE,UAAU,CAAC,CAAA;QAC5E,IAAM,IAAI,GAAG,EAAE,CAAC,QAAQ,CAAC,cAAc,CAAC,UAAU,CAAC,CAAC,CAAA;QAEpD,aAAa,CAAC,IAAI,CAChB,EAAE,SAAS,EAAK,YAAY,aAAU,EAAE,EACxC,EAAE,SAAS,EAAK,YAAY,UAAO,EAAE,CACtC,CAAA;QAED,OAAO,EAAE,OAAO,SAAA,EAAE,IAAI,MAAA,EAAE,CAAA;IAC1B,CAAC;IAED,SAAS,uBAAuB,CAAC,UAAkB,EAAE,YAAoB;QAEvE,IAAM,OAAO,GAAG,EAAE,CAAC,QAAQ,CAAC,cAAc,CAAC,UAAU,CAAC,CAAC,CAAA;QACvD,IAAM,MAAM,GAAG,EAAE,CAAC,QAAQ,CAAC,cAAc,CAAC,UAAU,CAAC,CAAC,CAAA;QAEtD,aAAa,CAAC,IAAI,CAChB,EAAE,SAAS,EAAK,YAAY,aAAU,EAAE,EACxC,EAAE,SAAS,EAAK,YAAY,YAAS,EAAE,CACxC,CAAA;QAED,OAAO;YACL,OAAO,SAAA;YACP,MAAM,QAAA;SACP,CAAA;IACH,CAAC;IAED,SAAS,sBAAsB,CAC7B,eAAuB,EACvB,UAAkB,EAClB,UAAkB,EAClB,YAAoB;QAGpB,IAAM,IAAI,GAAG,iBAAiB,CAAC,eAAe,EAAE,UAAU,EAAE,UAAU,EAAK,YAAY,UAAO,CAAC,CAAA;QAC/F,IAAM,KAAK,GAAG,uBAAuB,CAAC,UAAU,EAAK,YAAY,WAAQ,CAAC,CAAA;QAE1E,OAAO,EAAE,IAAI,MAAA,EAAE,KAAK,OAAA,EAAE,CAAA;IACxB,CAAC;IAED,SAAS,0BAA0B,CACjC,eAAuB,EACvB,UAAkB,EAClB,UAAkB,EAClB,YAAoB,EACpB,MAAuB;QAAvB,uBAAA,EAAA,cAAuB;QAGvB,IAAM,KAAK,GAAG,sBAAsB,CAAC,CAAC,MAAM,CAAC,CAAC,CAAC,GAAG,CAAC,CAAC,CAAC,CAAC,CAAC,GAAG,eAAe,EAAE,UAAU,EAAE,UAAU,EAAK,YAAY,WAAQ,CAAC,CAAA;QAC3H,IAAM,KAAK,GAAG,sBAAsB,CAAC,eAAe,EAAE,UAAU,EAAE,UAAU,EAAK,YAAY,WAAQ,CAAC,CAAA;QAEtG,OAAO,EAAE,KAAK,OAAA,EAAE,KAAK,OAAA,EAAE,CAAA;IACzB,CAAC;IAED,OAAO;QACL,sBAAsB,wBAAA;QACtB,0BAA0B,4BAAA;KAC3B,CAAA;AAEH,CAAC;AAED,MAAM,UAAU,aAAa,CAAC,OAAqB;IAE3C,IAAA,4DAGqD,EAFzD,kCAAc,EACd,4CACyD,CAAA;IAE3D,IAAM,aAAa,GAA4C,EAAE,CAAA;IAE3D,IAAA,qDAG8C,EAFlD,kDAAsB,EACtB,0DACkD,CAAA;IAEpD,IAAM,WAAW,GAAG,sBAAsB,CAAC,IAAI,EAAE,EAAE,EAAE,CAAC,EAAE,aAAa,CAAC,CAAA;IACtE,IAAM,QAAQ,GAAG,0BAA0B,CAAC,IAAI,EAAE,EAAE,EAAE,CAAC,EAAE,UAAU,CAAC,CAAA;IACpE,IAAM,QAAQ,GAAG,0BAA0B,CAAC,IAAI,EAAE,EAAE,EAAE,CAAC,EAAE,UAAU,CAAC,CAAA;IACpE,IAAM,QAAQ,GAAG,0BAA0B,CAAC,IAAI,EAAE,EAAE,EAAE,CAAC,EAAE,UAAU,CAAC,CAAA;IAEpE,IAAM,WAAW,GAAG,0BAA0B,CAAC,KAAK,EAAE,EAAE,EAAE,CAAC,EAAE,aAAa,EAAE,IAAI,CAAC,CAAA;IACjF,IAAM,QAAQ,GAAG,0BAA0B,CAAC,KAAK,EAAE,EAAE,EAAE,CAAC,EAAE,UAAU,CAAC,CAAA;IACrE,IAAM,QAAQ,GAAG,0BAA0B,CAAC,KAAK,EAAE,EAAE,EAAE,CAAC,EAAE,UAAU,CAAC,CAAA;IACrE,IAAM,QAAQ,GAAG,0BAA0B,CAAC,KAAK,EAAE,EAAE,EAAE,CAAC,EAAE,UAAU,CAAC,CAAA;IAErE,IAAM,YAAY,GAAG,0BAA0B,CAAC,MAAM,EAAE,GAAG,EAAE,CAAC,EAAE,cAAc,EAAE,IAAI,CAAC,CAAA;IACrF,IAAM,SAAS,GAAG,0BAA0B,CAAC,MAAM,EAAE,GAAG,EAAE,CAAC,EAAE,WAAW,CAAC,CAAA;IACzE,IAAM,SAAS,GAAG,0BAA0B,CAAC,MAAM,EAAE,GAAG,EAAE,CAAC,EAAE,WAAW,CAAC,CAAA;IAEzE,IAAM,YAAY,GAAG,0BAA0B,CAAC,MAAM,EAAE,GAAG,EAAE,CAAC,EAAE,cAAc,EAAE,IAAI,CAAC,CAAA;IACrF,IAAM,SAAS,GAAG,0BAA0B,CAAC,MAAM,EAAE,GAAG,EAAE,CAAC,EAAE,WAAW,CAAC,CAAA;IACzE,IAAM,SAAS,GAAG,0BAA0B,CAAC,MAAM,EAAE,GAAG,EAAE,CAAC,EAAE,WAAW,CAAC,CAAA;IACzE,IAAM,gBAAgB,GAAG,0BAA0B,CAAC,MAAM,EAAE,GAAG,EAAE,CAAC,EAAE,kBAAkB,CAAC,CAAA;IAEvF,IAAM,EAAE,GAAG,EAAE,CAAC,IAAI,CAChB,cAAM,OAAA,EAAE,CAAC,SAAS,CAAC,EAAE,CAAC,QAAQ,CAAC,cAAc,CAAC,GAAG,GAAG,GAAG,CAAC,EAAE,CAAC,GAAG,EAAE,GAAG,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,EAAxE,CAAwE,CAC/E,CAAA;IACD,aAAa,CAAC,IAAI,CAAC,EAAE,SAAS,EAAE,IAAI,EAAE,CAAC,CAAA;IAEvC,IAAI,mBAAmB,EAAE,CAAC,MAAM,KAAK,CAAC,EAAE;QACtC,MAAM,IAAI,KAAK,CAAC,oCAAkC,mBAAmB,EAAE,CAAC,MAAQ,CAAC,CAAA;KAClF;IAED,IAAM,MAAM,GAAG;QACb,WAAW,aAAA;QACX,QAAQ,UAAA;QACR,QAAQ,UAAA;QACR,QAAQ,UAAA;QACR,WAAW,aAAA;QACX,QAAQ,UAAA;QACR,QAAQ,UAAA;QACR,QAAQ,UAAA;QACR,YAAY,cAAA;QACZ,SAAS,WAAA;QACT,SAAS,WAAA;QACT,YAAY,cAAA;QACZ,SAAS,WAAA;QACT,SAAS,WAAA;QACT,gBAAgB,kBAAA;QAChB,EAAE,IAAA;KACH,CAAA;IAED,OAAO,EAAE,MAAM,QAAA,EAAE,aAAa,eAAA,EAAE,CAAA;AAClC,CAAC"}
\ No newline at end of file
diff --git a/build/es6/faceRecognitionNet/extractParamsFromWeigthMap.d.ts b/build/es6/faceRecognitionNet/extractParamsFromWeigthMap.d.ts
deleted file mode 100644
index 7bf5a66d..00000000
--- a/build/es6/faceRecognitionNet/extractParamsFromWeigthMap.d.ts
+++ /dev/null
@@ -1,7 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-import { NetParams } from './types';
-export declare function extractParamsFromWeigthMap(weightMap: tf.NamedTensorMap): {
- params: NetParams;
- paramMappings: TfjsImageRecognitionBase.ParamMapping[];
-};
diff --git a/build/es6/faceRecognitionNet/extractParamsFromWeigthMap.js b/build/es6/faceRecognitionNet/extractParamsFromWeigthMap.js
deleted file mode 100644
index 55023114..00000000
--- a/build/es6/faceRecognitionNet/extractParamsFromWeigthMap.js
+++ /dev/null
@@ -1,70 +0,0 @@
-import { isTensor2D, TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-function extractorsFactory(weightMap, paramMappings) {
- var extractWeightEntry = TfjsImageRecognitionBase.extractWeightEntryFactory(weightMap, paramMappings);
- function extractScaleLayerParams(prefix) {
- var weights = extractWeightEntry(prefix + "/scale/weights", 1);
- var biases = extractWeightEntry(prefix + "/scale/biases", 1);
- return { weights: weights, biases: biases };
- }
- function extractConvLayerParams(prefix) {
- var filters = extractWeightEntry(prefix + "/conv/filters", 4);
- var bias = extractWeightEntry(prefix + "/conv/bias", 1);
- var scale = extractScaleLayerParams(prefix);
- return { conv: { filters: filters, bias: bias }, scale: scale };
- }
- function extractResidualLayerParams(prefix) {
- return {
- conv1: extractConvLayerParams(prefix + "/conv1"),
- conv2: extractConvLayerParams(prefix + "/conv2")
- };
- }
- return {
- extractConvLayerParams: extractConvLayerParams,
- extractResidualLayerParams: extractResidualLayerParams
- };
-}
-export function extractParamsFromWeigthMap(weightMap) {
- var paramMappings = [];
- var _a = extractorsFactory(weightMap, paramMappings), extractConvLayerParams = _a.extractConvLayerParams, extractResidualLayerParams = _a.extractResidualLayerParams;
- var conv32_down = extractConvLayerParams('conv32_down');
- var conv32_1 = extractResidualLayerParams('conv32_1');
- var conv32_2 = extractResidualLayerParams('conv32_2');
- var conv32_3 = extractResidualLayerParams('conv32_3');
- var conv64_down = extractResidualLayerParams('conv64_down');
- var conv64_1 = extractResidualLayerParams('conv64_1');
- var conv64_2 = extractResidualLayerParams('conv64_2');
- var conv64_3 = extractResidualLayerParams('conv64_3');
- var conv128_down = extractResidualLayerParams('conv128_down');
- var conv128_1 = extractResidualLayerParams('conv128_1');
- var conv128_2 = extractResidualLayerParams('conv128_2');
- var conv256_down = extractResidualLayerParams('conv256_down');
- var conv256_1 = extractResidualLayerParams('conv256_1');
- var conv256_2 = extractResidualLayerParams('conv256_2');
- var conv256_down_out = extractResidualLayerParams('conv256_down_out');
- var fc = weightMap['fc'];
- paramMappings.push({ originalPath: 'fc', paramPath: 'fc' });
- if (!isTensor2D(fc)) {
- throw new Error("expected weightMap[fc] to be a Tensor2D, instead have " + fc);
- }
- var params = {
- conv32_down: conv32_down,
- conv32_1: conv32_1,
- conv32_2: conv32_2,
- conv32_3: conv32_3,
- conv64_down: conv64_down,
- conv64_1: conv64_1,
- conv64_2: conv64_2,
- conv64_3: conv64_3,
- conv128_down: conv128_down,
- conv128_1: conv128_1,
- conv128_2: conv128_2,
- conv256_down: conv256_down,
- conv256_1: conv256_1,
- conv256_2: conv256_2,
- conv256_down_out: conv256_down_out,
- fc: fc
- };
- TfjsImageRecognitionBase.disposeUnusedWeightTensors(weightMap, paramMappings);
- return { params: params, paramMappings: paramMappings };
-}
-//# sourceMappingURL=extractParamsFromWeigthMap.js.map
\ No newline at end of file
diff --git a/build/es6/faceRecognitionNet/extractParamsFromWeigthMap.js.map b/build/es6/faceRecognitionNet/extractParamsFromWeigthMap.js.map
deleted file mode 100644
index 97d73fb0..00000000
--- a/build/es6/faceRecognitionNet/extractParamsFromWeigthMap.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"extractParamsFromWeigthMap.js","sourceRoot":"","sources":["../../../src/faceRecognitionNet/extractParamsFromWeigthMap.ts"],"names":[],"mappings":"AACA,OAAO,EAAE,UAAU,EAAE,wBAAwB,EAAE,MAAM,6BAA6B,CAAC;AAInF,SAAS,iBAAiB,CAAC,SAAc,EAAE,aAAsD;IAE/F,IAAM,kBAAkB,GAAG,wBAAwB,CAAC,yBAAyB,CAAC,SAAS,EAAE,aAAa,CAAC,CAAA;IAEvG,SAAS,uBAAuB,CAAC,MAAc;QAE7C,IAAM,OAAO,GAAG,kBAAkB,CAAiB,MAAM,mBAAgB,EAAE,CAAC,CAAC,CAAA;QAC7E,IAAM,MAAM,GAAG,kBAAkB,CAAiB,MAAM,kBAAe,EAAE,CAAC,CAAC,CAAA;QAE3E,OAAO,EAAE,OAAO,SAAA,EAAE,MAAM,QAAA,EAAE,CAAA;IAC5B,CAAC;IAED,SAAS,sBAAsB,CAAC,MAAc;QAE5C,IAAM,OAAO,GAAG,kBAAkB,CAAiB,MAAM,kBAAe,EAAE,CAAC,CAAC,CAAA;QAC5E,IAAM,IAAI,GAAG,kBAAkB,CAAiB,MAAM,eAAY,EAAE,CAAC,CAAC,CAAA;QACtE,IAAM,KAAK,GAAG,uBAAuB,CAAC,MAAM,CAAC,CAAA;QAE7C,OAAO,EAAE,IAAI,EAAE,EAAE,OAAO,SAAA,EAAE,IAAI,MAAA,EAAE,EAAE,KAAK,OAAA,EAAE,CAAA;IAC3C,CAAC;IAED,SAAS,0BAA0B,CAAC,MAAc;QAChD,OAAO;YACL,KAAK,EAAE,sBAAsB,CAAI,MAAM,WAAQ,CAAC;YAChD,KAAK,EAAE,sBAAsB,CAAI,MAAM,WAAQ,CAAC;SACjD,CAAA;IACH,CAAC;IAED,OAAO;QACL,sBAAsB,wBAAA;QACtB,0BAA0B,4BAAA;KAC3B,CAAA;AAEH,CAAC;AAED,MAAM,UAAU,0BAA0B,CACxC,SAA4B;IAG5B,IAAM,aAAa,GAA4C,EAAE,CAAA;IAE3D,IAAA,gDAGyC,EAF7C,kDAAsB,EACtB,0DAC6C,CAAA;IAE/C,IAAM,WAAW,GAAG,sBAAsB,CAAC,aAAa,CAAC,CAAA;IACzD,IAAM,QAAQ,GAAG,0BAA0B,CAAC,UAAU,CAAC,CAAA;IACvD,IAAM,QAAQ,GAAG,0BAA0B,CAAC,UAAU,CAAC,CAAA;IACvD,IAAM,QAAQ,GAAG,0BAA0B,CAAC,UAAU,CAAC,CAAA;IAEvD,IAAM,WAAW,GAAG,0BAA0B,CAAC,aAAa,CAAC,CAAA;IAC7D,IAAM,QAAQ,GAAG,0BAA0B,CAAC,UAAU,CAAC,CAAA;IACvD,IAAM,QAAQ,GAAG,0BAA0B,CAAC,UAAU,CAAC,CAAA;IACvD,IAAM,QAAQ,GAAG,0BAA0B,CAAC,UAAU,CAAC,CAAA;IAEvD,IAAM,YAAY,GAAG,0BAA0B,CAAC,cAAc,CAAC,CAAA;IAC/D,IAAM,SAAS,GAAG,0BAA0B,CAAC,WAAW,CAAC,CAAA;IACzD,IAAM,SAAS,GAAG,0BAA0B,CAAC,WAAW,CAAC,CAAA;IAEzD,IAAM,YAAY,GAAG,0BAA0B,CAAC,cAAc,CAAC,CAAA;IAC/D,IAAM,SAAS,GAAG,0BAA0B,CAAC,WAAW,CAAC,CAAA;IACzD,IAAM,SAAS,GAAG,0BAA0B,CAAC,WAAW,CAAC,CAAA;IACzD,IAAM,gBAAgB,GAAG,0BAA0B,CAAC,kBAAkB,CAAC,CAAA;IAEvE,IAAM,EAAE,GAAG,SAAS,CAAC,IAAI,CAAC,CAAA;IAC1B,aAAa,CAAC,IAAI,CAAC,EAAE,YAAY,EAAE,IAAI,EAAE,SAAS,EAAE,IAAI,EAAE,CAAC,CAAA;IAE3D,IAAI,CAAC,UAAU,CAAC,EAAE,CAAC,EAAE;QACnB,MAAM,IAAI,KAAK,CAAC,2DAAyD,EAAI,CAAC,CAAA;KAC/E;IAED,IAAM,MAAM,GAAG;QACb,WAAW,aAAA;QACX,QAAQ,UAAA;QACR,QAAQ,UAAA;QACR,QAAQ,UAAA;QACR,WAAW,aAAA;QACX,QAAQ,UAAA;QACR,QAAQ,UAAA;QACR,QAAQ,UAAA;QACR,YAAY,cAAA;QACZ,SAAS,WAAA;QACT,SAAS,WAAA;QACT,YAAY,cAAA;QACZ,SAAS,WAAA;QACT,SAAS,WAAA;QACT,gBAAgB,kBAAA;QAChB,EAAE,IAAA;KACH,CAAA;IAED,wBAAwB,CAAC,0BAA0B,CAAC,SAAS,EAAE,aAAa,CAAC,CAAA;IAE7E,OAAO,EAAE,MAAM,QAAA,EAAE,aAAa,eAAA,EAAE,CAAA;AAClC,CAAC"}
\ No newline at end of file
diff --git a/build/es6/faceRecognitionNet/index.d.ts b/build/es6/faceRecognitionNet/index.d.ts
deleted file mode 100644
index 487d6af4..00000000
--- a/build/es6/faceRecognitionNet/index.d.ts
+++ /dev/null
@@ -1,3 +0,0 @@
-import { FaceRecognitionNet } from './FaceRecognitionNet';
-export * from './FaceRecognitionNet';
-export declare function createFaceRecognitionNet(weights: Float32Array): FaceRecognitionNet;
diff --git a/build/es6/faceRecognitionNet/index.js b/build/es6/faceRecognitionNet/index.js
deleted file mode 100644
index 0074593d..00000000
--- a/build/es6/faceRecognitionNet/index.js
+++ /dev/null
@@ -1,8 +0,0 @@
-import { FaceRecognitionNet } from './FaceRecognitionNet';
-export * from './FaceRecognitionNet';
-export function createFaceRecognitionNet(weights) {
- var net = new FaceRecognitionNet();
- net.extractWeights(weights);
- return net;
-}
-//# sourceMappingURL=index.js.map
\ No newline at end of file
diff --git a/build/es6/faceRecognitionNet/index.js.map b/build/es6/faceRecognitionNet/index.js.map
deleted file mode 100644
index c34c8a97..00000000
--- a/build/es6/faceRecognitionNet/index.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"index.js","sourceRoot":"","sources":["../../../src/faceRecognitionNet/index.ts"],"names":[],"mappings":"AAAA,OAAO,EAAE,kBAAkB,EAAE,MAAM,sBAAsB,CAAC;AAE1D,cAAc,sBAAsB,CAAC;AAErC,MAAM,UAAU,wBAAwB,CAAC,OAAqB;IAC5D,IAAM,GAAG,GAAG,IAAI,kBAAkB,EAAE,CAAA;IACpC,GAAG,CAAC,cAAc,CAAC,OAAO,CAAC,CAAA;IAC3B,OAAO,GAAG,CAAA;AACZ,CAAC"}
\ No newline at end of file
diff --git a/build/es6/faceRecognitionNet/residualLayer.d.ts b/build/es6/faceRecognitionNet/residualLayer.d.ts
deleted file mode 100644
index 1656e0a0..00000000
--- a/build/es6/faceRecognitionNet/residualLayer.d.ts
+++ /dev/null
@@ -1,4 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { ResidualLayerParams } from './types';
-export declare function residual(x: tf.Tensor4D, params: ResidualLayerParams): tf.Tensor4D;
-export declare function residualDown(x: tf.Tensor4D, params: ResidualLayerParams): tf.Tensor4D;
diff --git a/build/es6/faceRecognitionNet/residualLayer.js b/build/es6/faceRecognitionNet/residualLayer.js
deleted file mode 100644
index bfc1cb70..00000000
--- a/build/es6/faceRecognitionNet/residualLayer.js
+++ /dev/null
@@ -1,32 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { conv, convDown, convNoRelu } from './convLayer';
-export function residual(x, params) {
- var out = conv(x, params.conv1);
- out = convNoRelu(out, params.conv2);
- out = tf.add(out, x);
- out = tf.relu(out);
- return out;
-}
-export function residualDown(x, params) {
- var out = convDown(x, params.conv1);
- out = convNoRelu(out, params.conv2);
- var pooled = tf.avgPool(x, 2, 2, 'valid');
- var zeros = tf.zeros(pooled.shape);
- var isPad = pooled.shape[3] !== out.shape[3];
- var isAdjustShape = pooled.shape[1] !== out.shape[1] || pooled.shape[2] !== out.shape[2];
- if (isAdjustShape) {
- var padShapeX = out.shape.slice();
- padShapeX[1] = 1;
- var zerosW = tf.zeros(padShapeX);
- out = tf.concat([out, zerosW], 1);
- var padShapeY = out.shape.slice();
- padShapeY[2] = 1;
- var zerosH = tf.zeros(padShapeY);
- out = tf.concat([out, zerosH], 2);
- }
- pooled = isPad ? tf.concat([pooled, zeros], 3) : pooled;
- out = tf.add(pooled, out);
- out = tf.relu(out);
- return out;
-}
-//# sourceMappingURL=residualLayer.js.map
\ No newline at end of file
diff --git a/build/es6/faceRecognitionNet/residualLayer.js.map b/build/es6/faceRecognitionNet/residualLayer.js.map
deleted file mode 100644
index 72c606d7..00000000
--- a/build/es6/faceRecognitionNet/residualLayer.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"residualLayer.js","sourceRoot":"","sources":["../../../src/faceRecognitionNet/residualLayer.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAE5C,OAAO,EAAE,IAAI,EAAE,QAAQ,EAAE,UAAU,EAAE,MAAM,aAAa,CAAC;AAGzD,MAAM,UAAU,QAAQ,CAAC,CAAc,EAAE,MAA2B;IAClE,IAAI,GAAG,GAAG,IAAI,CAAC,CAAC,EAAE,MAAM,CAAC,KAAK,CAAC,CAAA;IAC/B,GAAG,GAAG,UAAU,CAAC,GAAG,EAAE,MAAM,CAAC,KAAK,CAAC,CAAA;IACnC,GAAG,GAAG,EAAE,CAAC,GAAG,CAAC,GAAG,EAAE,CAAC,CAAC,CAAA;IACpB,GAAG,GAAG,EAAE,CAAC,IAAI,CAAC,GAAG,CAAC,CAAA;IAClB,OAAO,GAAG,CAAA;AACZ,CAAC;AAED,MAAM,UAAU,YAAY,CAAC,CAAc,EAAE,MAA2B;IACtE,IAAI,GAAG,GAAG,QAAQ,CAAC,CAAC,EAAE,MAAM,CAAC,KAAK,CAAC,CAAA;IACnC,GAAG,GAAG,UAAU,CAAC,GAAG,EAAE,MAAM,CAAC,KAAK,CAAC,CAAA;IAEnC,IAAI,MAAM,GAAG,EAAE,CAAC,OAAO,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,OAAO,CAAgB,CAAA;IACxD,IAAM,KAAK,GAAG,EAAE,CAAC,KAAK,CAAa,MAAM,CAAC,KAAK,CAAC,CAAA;IAChD,IAAM,KAAK,GAAG,MAAM,CAAC,KAAK,CAAC,CAAC,CAAC,KAAK,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,CAAA;IAC9C,IAAM,aAAa,GAAG,MAAM,CAAC,KAAK,CAAC,CAAC,CAAC,KAAK,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,IAAI,MAAM,CAAC,KAAK,CAAC,CAAC,CAAC,KAAK,GAAG,CAAC,KAAK,CAAC,CAAC,CAAC,CAAA;IAE1F,IAAI,aAAa,EAAE;QACjB,IAAM,SAAS,GAAO,GAAG,CAAC,KAAK,QAAqC,CAAA;QACpE,SAAS,CAAC,CAAC,CAAC,GAAG,CAAC,CAAA;QAChB,IAAM,MAAM,GAAG,EAAE,CAAC,KAAK,CAAa,SAAS,CAAC,CAAA;QAC9C,GAAG,GAAG,EAAE,CAAC,MAAM,CAAC,CAAC,GAAG,EAAE,MAAM,CAAC,EAAE,CAAC,CAAC,CAAA;QAEjC,IAAM,SAAS,GAAO,GAAG,CAAC,KAAK,QAAqC,CAAA;QACpE,SAAS,CAAC,CAAC,CAAC,GAAG,CAAC,CAAA;QAChB,IAAM,MAAM,GAAG,EAAE,CAAC,KAAK,CAAa,SAAS,CAAC,CAAA;QAC9C,GAAG,GAAG,EAAE,CAAC,MAAM,CAAC,CAAC,GAAG,EAAE,MAAM,CAAC,EAAE,CAAC,CAAC,CAAA;KAClC;IAED,MAAM,GAAG,KAAK,CAAC,CAAC,CAAC,EAAE,CAAC,MAAM,CAAC,CAAC,MAAM,EAAE,KAAK,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC,CAAC,MAAM,CAAA;IACvD,GAAG,GAAG,EAAE,CAAC,GAAG,CAAC,MAAM,EAAE,GAAG,CAAgB,CAAA;IAExC,GAAG,GAAG,EAAE,CAAC,IAAI,CAAC,GAAG,CAAC,CAAA;IAClB,OAAO,GAAG,CAAA;AACZ,CAAC"}
\ No newline at end of file
diff --git a/build/es6/faceRecognitionNet/scaleLayer.d.ts b/build/es6/faceRecognitionNet/scaleLayer.d.ts
deleted file mode 100644
index 07a866ea..00000000
--- a/build/es6/faceRecognitionNet/scaleLayer.d.ts
+++ /dev/null
@@ -1,3 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { ScaleLayerParams } from './types';
-export declare function scale(x: tf.Tensor4D, params: ScaleLayerParams): tf.Tensor4D;
diff --git a/build/es6/faceRecognitionNet/scaleLayer.js b/build/es6/faceRecognitionNet/scaleLayer.js
deleted file mode 100644
index 6c1b911e..00000000
--- a/build/es6/faceRecognitionNet/scaleLayer.js
+++ /dev/null
@@ -1,5 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-export function scale(x, params) {
- return tf.add(tf.mul(x, params.weights), params.biases);
-}
-//# sourceMappingURL=scaleLayer.js.map
\ No newline at end of file
diff --git a/build/es6/faceRecognitionNet/scaleLayer.js.map b/build/es6/faceRecognitionNet/scaleLayer.js.map
deleted file mode 100644
index 82536d2d..00000000
--- a/build/es6/faceRecognitionNet/scaleLayer.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"scaleLayer.js","sourceRoot":"","sources":["../../../src/faceRecognitionNet/scaleLayer.ts"],"names":[],"mappings":"AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAI5C,MAAM,UAAU,KAAK,CAAC,CAAc,EAAE,MAAwB;IAC5D,OAAO,EAAE,CAAC,GAAG,CAAC,EAAE,CAAC,GAAG,CAAC,CAAC,EAAE,MAAM,CAAC,OAAO,CAAC,EAAE,MAAM,CAAC,MAAM,CAAC,CAAA;AACzD,CAAC"}
\ No newline at end of file
diff --git a/build/es6/faceRecognitionNet/types.d.ts b/build/es6/faceRecognitionNet/types.d.ts
deleted file mode 100644
index a390ee87..00000000
--- a/build/es6/faceRecognitionNet/types.d.ts
+++ /dev/null
@@ -1,32 +0,0 @@
-import * as tf from '@tensorflow/tfjs-core';
-import { TfjsImageRecognitionBase } from 'tfjs-image-recognition-base';
-export declare type ScaleLayerParams = {
- weights: tf.Tensor1D;
- biases: tf.Tensor1D;
-};
-export declare type ResidualLayerParams = {
- conv1: ConvLayerParams;
- conv2: ConvLayerParams;
-};
-export declare type ConvLayerParams = {
- conv: TfjsImageRecognitionBase.ConvParams;
- scale: ScaleLayerParams;
-};
-export declare type NetParams = {
- conv32_down: ConvLayerParams;
- conv32_1: ResidualLayerParams;
- conv32_2: ResidualLayerParams;
- conv32_3: ResidualLayerParams;
- conv64_down: ResidualLayerParams;
- conv64_1: ResidualLayerParams;
- conv64_2: ResidualLayerParams;
- conv64_3: ResidualLayerParams;
- conv128_down: ResidualLayerParams;
- conv128_1: ResidualLayerParams;
- conv128_2: ResidualLayerParams;
- conv256_down: ResidualLayerParams;
- conv256_1: ResidualLayerParams;
- conv256_2: ResidualLayerParams;
- conv256_down_out: ResidualLayerParams;
- fc: tf.Tensor2D;
-};
diff --git a/build/es6/faceRecognitionNet/types.js b/build/es6/faceRecognitionNet/types.js
deleted file mode 100644
index 5b2306a4..00000000
--- a/build/es6/faceRecognitionNet/types.js
+++ /dev/null
@@ -1 +0,0 @@
-//# sourceMappingURL=types.js.map
\ No newline at end of file
diff --git a/build/es6/faceRecognitionNet/types.js.map b/build/es6/faceRecognitionNet/types.js.map
deleted file mode 100644
index 3e899768..00000000
--- a/build/es6/faceRecognitionNet/types.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"types.js","sourceRoot":"","sources":["../../../src/faceRecognitionNet/types.ts"],"names":[],"mappings":""}
\ No newline at end of file
diff --git a/build/es6/factories/WithFaceDescriptor.d.ts b/build/es6/factories/WithFaceDescriptor.d.ts
deleted file mode 100644
index 45175ba6..00000000
--- a/build/es6/factories/WithFaceDescriptor.d.ts
+++ /dev/null
@@ -1,4 +0,0 @@
-export declare type WithFaceDescriptor = TSource & {
- descriptor: Float32Array;
-};
-export declare function extendWithFaceDescriptor(sourceObj: TSource, descriptor: Float32Array): WithFaceDescriptor;
diff --git a/build/es6/factories/WithFaceDescriptor.js b/build/es6/factories/WithFaceDescriptor.js
deleted file mode 100644
index cce7b739..00000000
--- a/build/es6/factories/WithFaceDescriptor.js
+++ /dev/null
@@ -1,5 +0,0 @@
-export function extendWithFaceDescriptor(sourceObj, descriptor) {
- var extension = { descriptor: descriptor };
- return Object.assign({}, sourceObj, extension);
-}
-//# sourceMappingURL=WithFaceDescriptor.js.map
\ No newline at end of file
diff --git a/build/es6/factories/WithFaceDescriptor.js.map b/build/es6/factories/WithFaceDescriptor.js.map
deleted file mode 100644
index f9e0a704..00000000
--- a/build/es6/factories/WithFaceDescriptor.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"WithFaceDescriptor.js","sourceRoot":"","sources":["../../../src/factories/WithFaceDescriptor.ts"],"names":[],"mappings":"AAIA,MAAM,UAAU,wBAAwB,CAGtC,SAAkB,EAClB,UAAwB;IAGxB,IAAM,SAAS,GAAG,EAAE,UAAU,YAAA,EAAE,CAAA;IAChC,OAAO,MAAM,CAAC,MAAM,CAAC,EAAE,EAAE,SAAS,EAAE,SAAS,CAAC,CAAA;AAChD,CAAC"}
\ No newline at end of file
diff --git a/build/es6/factories/WithFaceDetection.d.ts b/build/es6/factories/WithFaceDetection.d.ts
deleted file mode 100644
index dd91b175..00000000
--- a/build/es6/factories/WithFaceDetection.d.ts
+++ /dev/null
@@ -1,5 +0,0 @@
-import { FaceDetection } from '../classes/FaceDetection';
-export declare type WithFaceDetection = TSource & {
- detection: FaceDetection;
-};
-export declare function extendWithFaceDetection(sourceObj: TSource, detection: FaceDetection): WithFaceDetection;
diff --git a/build/es6/factories/WithFaceDetection.js b/build/es6/factories/WithFaceDetection.js
deleted file mode 100644
index d8ce4284..00000000
--- a/build/es6/factories/WithFaceDetection.js
+++ /dev/null
@@ -1,5 +0,0 @@
-export function extendWithFaceDetection(sourceObj, detection) {
- var extension = { detection: detection };
- return Object.assign({}, sourceObj, extension);
-}
-//# sourceMappingURL=WithFaceDetection.js.map
\ No newline at end of file
diff --git a/build/es6/factories/WithFaceDetection.js.map b/build/es6/factories/WithFaceDetection.js.map
deleted file mode 100644
index 711459ad..00000000
--- a/build/es6/factories/WithFaceDetection.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"WithFaceDetection.js","sourceRoot":"","sources":["../../../src/factories/WithFaceDetection.ts"],"names":[],"mappings":"AAMA,MAAM,UAAU,uBAAuB,CAGrC,SAAkB,EAClB,SAAwB;IAGxB,IAAM,SAAS,GAAG,EAAE,SAAS,WAAA,EAAE,CAAA;IAC/B,OAAO,MAAM,CAAC,MAAM,CAAC,EAAE,EAAE,SAAS,EAAE,SAAS,CAAC,CAAA;AAChD,CAAC"}
\ No newline at end of file
diff --git a/build/es6/factories/WithFaceExpressions.d.ts b/build/es6/factories/WithFaceExpressions.d.ts
deleted file mode 100644
index 2309d8ea..00000000
--- a/build/es6/factories/WithFaceExpressions.d.ts
+++ /dev/null
@@ -1,5 +0,0 @@
-import { FaceExpressionPrediction } from '../faceExpressionNet/types';
-export declare type WithFaceExpressions = TSource & {
- expressions: FaceExpressionPrediction[];
-};
-export declare function extendWithFaceExpressions(sourceObj: TSource, expressions: FaceExpressionPrediction[]): WithFaceExpressions;
diff --git a/build/es6/factories/WithFaceExpressions.js b/build/es6/factories/WithFaceExpressions.js
deleted file mode 100644
index f04bbb41..00000000
--- a/build/es6/factories/WithFaceExpressions.js
+++ /dev/null
@@ -1,5 +0,0 @@
-export function extendWithFaceExpressions(sourceObj, expressions) {
- var extension = { expressions: expressions };
- return Object.assign({}, sourceObj, extension);
-}
-//# sourceMappingURL=WithFaceExpressions.js.map
\ No newline at end of file
diff --git a/build/es6/factories/WithFaceExpressions.js.map b/build/es6/factories/WithFaceExpressions.js.map
deleted file mode 100644
index 99a1a67d..00000000
--- a/build/es6/factories/WithFaceExpressions.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"WithFaceExpressions.js","sourceRoot":"","sources":["../../../src/factories/WithFaceExpressions.ts"],"names":[],"mappings":"AAMA,MAAM,UAAU,yBAAyB,CAGvC,SAAkB,EAClB,WAAuC;IAGvC,IAAM,SAAS,GAAG,EAAE,WAAW,aAAA,EAAE,CAAA;IACjC,OAAO,MAAM,CAAC,MAAM,CAAC,EAAE,EAAE,SAAS,EAAE,SAAS,CAAC,CAAA;AAChD,CAAC"}
\ No newline at end of file
diff --git a/build/es6/factories/WithFaceLandmarks.d.ts b/build/es6/factories/WithFaceLandmarks.d.ts
deleted file mode 100644
index 36840d24..00000000
--- a/build/es6/factories/WithFaceLandmarks.d.ts
+++ /dev/null
@@ -1,10 +0,0 @@
-import { FaceDetection } from '../classes/FaceDetection';
-import { FaceLandmarks } from '../classes/FaceLandmarks';
-import { FaceLandmarks68 } from '../classes/FaceLandmarks68';
-import { WithFaceDetection } from './WithFaceDetection';
-export declare type WithFaceLandmarks, TFaceLandmarks extends FaceLandmarks = FaceLandmarks68> = TSource & {
- landmarks: TFaceLandmarks;
- unshiftedLandmarks: TFaceLandmarks;
- alignedRect: FaceDetection;
-};
-export declare function extendWithFaceLandmarks, TFaceLandmarks extends FaceLandmarks = FaceLandmarks68>(sourceObj: TSource, unshiftedLandmarks: TFaceLandmarks): WithFaceLandmarks;
diff --git a/build/es6/factories/WithFaceLandmarks.js b/build/es6/factories/WithFaceLandmarks.js
deleted file mode 100644
index 11b817a3..00000000
--- a/build/es6/factories/WithFaceLandmarks.js
+++ /dev/null
@@ -1,15 +0,0 @@
-import { FaceDetection } from '../classes/FaceDetection';
-export function extendWithFaceLandmarks(sourceObj, unshiftedLandmarks) {
- var shift = sourceObj.detection.box;
- var landmarks = unshiftedLandmarks.shiftBy(shift.x, shift.y);
- var rect = landmarks.align();
- var imageDims = sourceObj.detection.imageDims;
- var alignedRect = new FaceDetection(sourceObj.detection.score, rect.rescale(imageDims.reverse()), imageDims);
- var extension = {
- landmarks: landmarks,
- unshiftedLandmarks: unshiftedLandmarks,
- alignedRect: alignedRect
- };
- return Object.assign({}, sourceObj, extension);
-}
-//# sourceMappingURL=WithFaceLandmarks.js.map
\ No newline at end of file
diff --git a/build/es6/factories/WithFaceLandmarks.js.map b/build/es6/factories/WithFaceLandmarks.js.map
deleted file mode 100644
index 09b307ce..00000000
--- a/build/es6/factories/WithFaceLandmarks.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"WithFaceLandmarks.js","sourceRoot":"","sources":["../../../src/factories/WithFaceLandmarks.ts"],"names":[],"mappings":"AAAA,OAAO,EAAE,aAAa,EAAE,MAAM,0BAA0B,CAAC;AAczD,MAAM,UAAU,uBAAuB,CAIrC,SAAkB,EAClB,kBAAkC;IAG1B,IAAA,+BAAU,CAAwB;IAC1C,IAAM,SAAS,GAAG,kBAAkB,CAAC,OAAO,CAAiB,KAAK,CAAC,CAAC,EAAE,KAAK,CAAC,CAAC,CAAC,CAAA;IAE9E,IAAM,IAAI,GAAG,SAAS,CAAC,KAAK,EAAE,CAAA;IACtB,IAAA,yCAAS,CAAwB;IACzC,IAAM,WAAW,GAAG,IAAI,aAAa,CAAC,SAAS,CAAC,SAAS,CAAC,KAAK,EAAE,IAAI,CAAC,OAAO,CAAC,SAAS,CAAC,OAAO,EAAE,CAAC,EAAE,SAAS,CAAC,CAAA;IAE9G,IAAM,SAAS,GAAG;QAChB,SAAS,WAAA;QACT,kBAAkB,oBAAA;QAClB,WAAW,aAAA;KACZ,CAAA;IAED,OAAO,MAAM,CAAC,MAAM,CAAC,EAAE,EAAE,SAAS,EAAE,SAAS,CAAC,CAAA;AAChD,CAAC"}
\ No newline at end of file
diff --git a/build/es6/factories/index.d.ts b/build/es6/factories/index.d.ts
deleted file mode 100644
index c4b351df..00000000
--- a/build/es6/factories/index.d.ts
+++ /dev/null
@@ -1,4 +0,0 @@
-export * from './WithFaceDescriptor';
-export * from './WithFaceDetection';
-export * from './WithFaceExpressions';
-export * from './WithFaceLandmarks';
diff --git a/build/es6/factories/index.js b/build/es6/factories/index.js
deleted file mode 100644
index cb715ddd..00000000
--- a/build/es6/factories/index.js
+++ /dev/null
@@ -1,5 +0,0 @@
-export * from './WithFaceDescriptor';
-export * from './WithFaceDetection';
-export * from './WithFaceExpressions';
-export * from './WithFaceLandmarks';
-//# sourceMappingURL=index.js.map
\ No newline at end of file
diff --git a/build/es6/factories/index.js.map b/build/es6/factories/index.js.map
deleted file mode 100644
index d1d9890a..00000000
--- a/build/es6/factories/index.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"index.js","sourceRoot":"","sources":["../../../src/factories/index.ts"],"names":[],"mappings":"AAAA,cAAc,sBAAsB,CAAA;AACpC,cAAc,qBAAqB,CAAA;AACnC,cAAc,uBAAuB,CAAA;AACrC,cAAc,qBAAqB,CAAA"}
\ No newline at end of file
diff --git a/build/es6/globalApi/ComposableTask.d.ts b/build/es6/globalApi/ComposableTask.d.ts
deleted file mode 100644
index b7203e33..00000000
--- a/build/es6/globalApi/ComposableTask.d.ts
+++ /dev/null
@@ -1,4 +0,0 @@
-export declare class ComposableTask {
- then(onfulfilled: (value: T) => T | PromiseLike): Promise;
- run(): Promise;
-}
diff --git a/build/es6/globalApi/ComposableTask.js b/build/es6/globalApi/ComposableTask.js
deleted file mode 100644
index a00a030b..00000000
--- a/build/es6/globalApi/ComposableTask.js
+++ /dev/null
@@ -1,28 +0,0 @@
-import * as tslib_1 from "tslib";
-var ComposableTask = /** @class */ (function () {
- function ComposableTask() {
- }
- ComposableTask.prototype.then = function (onfulfilled) {
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- var _a;
- return tslib_1.__generator(this, function (_b) {
- switch (_b.label) {
- case 0:
- _a = onfulfilled;
- return [4 /*yield*/, this.run()];
- case 1: return [2 /*return*/, _a.apply(void 0, [_b.sent()])];
- }
- });
- });
- };
- ComposableTask.prototype.run = function () {
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- return tslib_1.__generator(this, function (_a) {
- throw new Error('ComposableTask - run is not implemented');
- });
- });
- };
- return ComposableTask;
-}());
-export { ComposableTask };
-//# sourceMappingURL=ComposableTask.js.map
\ No newline at end of file
diff --git a/build/es6/globalApi/ComposableTask.js.map b/build/es6/globalApi/ComposableTask.js.map
deleted file mode 100644
index 9248586a..00000000
--- a/build/es6/globalApi/ComposableTask.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"ComposableTask.js","sourceRoot":"","sources":["../../../src/globalApi/ComposableTask.ts"],"names":[],"mappings":";AAAA;IAAA;IAWA,CAAC;IATc,6BAAI,GAAjB,UACE,WAA6C;;;;;;wBAEtC,KAAA,WAAW,CAAA;wBAAC,qBAAM,IAAI,CAAC,GAAG,EAAE,EAAA;4BAAnC,sBAAO,kBAAY,SAAgB,EAAC,EAAA;;;;KACrC;IAEY,4BAAG,GAAhB;;;gBACE,MAAM,IAAI,KAAK,CAAC,yCAAyC,CAAC,CAAA;;;KAC3D;IACH,qBAAC;AAAD,CAAC,AAXD,IAWC"}
\ No newline at end of file
diff --git a/build/es6/globalApi/ComputeFaceDescriptorsTasks.d.ts b/build/es6/globalApi/ComputeFaceDescriptorsTasks.d.ts
deleted file mode 100644
index 3cf96b39..00000000
--- a/build/es6/globalApi/ComputeFaceDescriptorsTasks.d.ts
+++ /dev/null
@@ -1,16 +0,0 @@
-import { TNetInput } from 'tfjs-image-recognition-base';
-import { WithFaceDescriptor } from '../factories/WithFaceDescriptor';
-import { WithFaceDetection } from '../factories/WithFaceDetection';
-import { WithFaceLandmarks } from '../factories/WithFaceLandmarks';
-import { ComposableTask } from './ComposableTask';
-export declare class ComputeFaceDescriptorsTaskBase extends ComposableTask {
- protected parentTask: ComposableTask | Promise;
- protected input: TNetInput;
- constructor(parentTask: ComposableTask | Promise, input: TNetInput);
-}
-export declare class ComputeAllFaceDescriptorsTask>> extends ComputeFaceDescriptorsTaskBase[], TSource[]> {
- run(): Promise[]>;
-}
-export declare class ComputeSingleFaceDescriptorTask>> extends ComputeFaceDescriptorsTaskBase | undefined, TSource | undefined> {
- run(): Promise | undefined>;
-}
diff --git a/build/es6/globalApi/ComputeFaceDescriptorsTasks.js b/build/es6/globalApi/ComputeFaceDescriptorsTasks.js
deleted file mode 100644
index ce4888d2..00000000
--- a/build/es6/globalApi/ComputeFaceDescriptorsTasks.js
+++ /dev/null
@@ -1,109 +0,0 @@
-import * as tslib_1 from "tslib";
-import * as tf from '@tensorflow/tfjs-core';
-import { extractFaces, extractFaceTensors } from '../dom';
-import { extendWithFaceDescriptor } from '../factories/WithFaceDescriptor';
-import { ComposableTask } from './ComposableTask';
-import { nets } from './nets';
-var ComputeFaceDescriptorsTaskBase = /** @class */ (function (_super) {
- tslib_1.__extends(ComputeFaceDescriptorsTaskBase, _super);
- function ComputeFaceDescriptorsTaskBase(parentTask, input) {
- var _this = _super.call(this) || this;
- _this.parentTask = parentTask;
- _this.input = input;
- return _this;
- }
- return ComputeFaceDescriptorsTaskBase;
-}(ComposableTask));
-export { ComputeFaceDescriptorsTaskBase };
-var ComputeAllFaceDescriptorsTask = /** @class */ (function (_super) {
- tslib_1.__extends(ComputeAllFaceDescriptorsTask, _super);
- function ComputeAllFaceDescriptorsTask() {
- return _super !== null && _super.apply(this, arguments) || this;
- }
- ComputeAllFaceDescriptorsTask.prototype.run = function () {
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- var parentResults, alignedRects, alignedFaces, _a, results;
- var _this = this;
- return tslib_1.__generator(this, function (_b) {
- switch (_b.label) {
- case 0: return [4 /*yield*/, this.parentTask];
- case 1:
- parentResults = _b.sent();
- alignedRects = parentResults.map(function (_a) {
- var alignedRect = _a.alignedRect;
- return alignedRect;
- });
- if (!(this.input instanceof tf.Tensor)) return [3 /*break*/, 3];
- return [4 /*yield*/, extractFaceTensors(this.input, alignedRects)];
- case 2:
- _a = _b.sent();
- return [3 /*break*/, 5];
- case 3: return [4 /*yield*/, extractFaces(this.input, alignedRects)];
- case 4:
- _a = _b.sent();
- _b.label = 5;
- case 5:
- alignedFaces = _a;
- return [4 /*yield*/, Promise.all(parentResults.map(function (parentResult, i) { return tslib_1.__awaiter(_this, void 0, void 0, function () {
- var descriptor;
- return tslib_1.__generator(this, function (_a) {
- switch (_a.label) {
- case 0: return [4 /*yield*/, nets.faceRecognitionNet.computeFaceDescriptor(alignedFaces[i])];
- case 1:
- descriptor = _a.sent();
- return [2 /*return*/, extendWithFaceDescriptor(parentResult, descriptor)];
- }
- });
- }); }))];
- case 6:
- results = _b.sent();
- alignedFaces.forEach(function (f) { return f instanceof tf.Tensor && f.dispose(); });
- return [2 /*return*/, results];
- }
- });
- });
- };
- return ComputeAllFaceDescriptorsTask;
-}(ComputeFaceDescriptorsTaskBase));
-export { ComputeAllFaceDescriptorsTask };
-var ComputeSingleFaceDescriptorTask = /** @class */ (function (_super) {
- tslib_1.__extends(ComputeSingleFaceDescriptorTask, _super);
- function ComputeSingleFaceDescriptorTask() {
- return _super !== null && _super.apply(this, arguments) || this;
- }
- ComputeSingleFaceDescriptorTask.prototype.run = function () {
- return tslib_1.__awaiter(this, void 0, void 0, function () {
- var parentResult, alignedRect, alignedFaces, _a, descriptor;
- return tslib_1.__generator(this, function (_b) {
- switch (_b.label) {
- case 0: return [4 /*yield*/, this.parentTask];
- case 1:
- parentResult = _b.sent();
- if (!parentResult) {
- return [2 /*return*/];
- }
- alignedRect = parentResult.alignedRect;
- if (!(this.input instanceof tf.Tensor)) return [3 /*break*/, 3];
- return [4 /*yield*/, extractFaceTensors(this.input, [alignedRect])];
- case 2:
- _a = _b.sent();
- return [3 /*break*/, 5];
- case 3: return [4 /*yield*/, extractFaces(this.input, [alignedRect])];
- case 4:
- _a = _b.sent();
- _b.label = 5;
- case 5:
- alignedFaces = _a;
- return [4 /*yield*/, nets.faceRecognitionNet.computeFaceDescriptor(alignedFaces[0])];
- case 6:
- descriptor = _b.sent();
- alignedFaces.forEach(function (f) { return f instanceof tf.Tensor && f.dispose(); });
- return [2 /*return*/, extendWithFaceDescriptor(parentResult, descriptor)];
- }
- });
- });
- };
- return ComputeSingleFaceDescriptorTask;
-}(ComputeFaceDescriptorsTaskBase));
-export { ComputeSingleFaceDescriptorTask };
-//# sourceMappingURL=ComputeFaceDescriptorsTasks.js.map
\ No newline at end of file
diff --git a/build/es6/globalApi/ComputeFaceDescriptorsTasks.js.map b/build/es6/globalApi/ComputeFaceDescriptorsTasks.js.map
deleted file mode 100644
index 43c47f7c..00000000
--- a/build/es6/globalApi/ComputeFaceDescriptorsTasks.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"ComputeFaceDescriptorsTasks.js","sourceRoot":"","sources":["../../../src/globalApi/ComputeFaceDescriptorsTasks.ts"],"names":[],"mappings":";AAAA,OAAO,KAAK,EAAE,MAAM,uBAAuB,CAAC;AAG5C,OAAO,EAAE,YAAY,EAAE,kBAAkB,EAAE,MAAM,QAAQ,CAAC;AAC1D,OAAO,EAAE,wBAAwB,EAAsB,MAAM,iCAAiC,CAAC;AAG/F,OAAO,EAAE,cAAc,EAAE,MAAM,kBAAkB,CAAC;AAClD,OAAO,EAAE,IAAI,EAAE,MAAM,QAAQ,CAAC;AAE9B;IAA4E,0DAAuB;IACjG,wCACY,UAAkE,EAClE,KAAgB;QAF5B,YAIE,iBAAO,SACR;QAJW,gBAAU,GAAV,UAAU,CAAwD;QAClE,WAAK,GAAL,KAAK,CAAW;;IAG5B,CAAC;IACH,qCAAC;AAAD,CAAC,AAPD,CAA4E,cAAc,GAOzF;;AAED;IAEU,yDAAwE;IAFlF;;IAsBA,CAAC;IAlBc,2CAAG,GAAhB;;;;;;4BAEwB,qBAAM,IAAI,CAAC,UAAU,EAAA;;wBAArC,aAAa,GAAG,SAAqB;wBAErC,YAAY,GAAG,aAAa,CAAC,GAAG,CAAC,UAAC,EAAe;gCAAb,4BAAW;4BAAO,OAAA,WAAW;wBAAX,CAAW,CAAC,CAAA;6BACX,CAAA,IAAI,CAAC,KAAK,YAAY,EAAE,CAAC,MAAM,CAAA,EAA/B,wBAA+B;wBACxF,qBAAM,kBAAkB,CAAC,IAAI,CAAC,KAAK,EAAE,YAAY,CAAC,EAAA;;wBAAlD,KAAA,SAAkD,CAAA;;4BAClD,qBAAM,YAAY,CAAC,IAAI,CAAC,KAAK,EAAE,YAAY,CAAC,EAAA;;wBAA5C,KAAA,SAA4C,CAAA;;;wBAF1C,YAAY,KAE8B;wBAEhC,qBAAM,OAAO,CAAC,GAAG,CAAC,aAAa,CAAC,GAAG,CAAC,UAAO,YAAY,EAAE,CAAC;;;;gDACrD,qBAAM,IAAI,CAAC,kBAAkB,CAAC,qBAAqB,CAAC,YAAY,CAAC,CAAC,CAAC,CAAC,EAAA;;4CAAjF,UAAU,GAAG,SAAoF;4CACvG,sBAAO,wBAAwB,CAAU,YAAY,EAAE,UAAU,CAAC,EAAA;;;iCACnE,CAAC,CAAC,EAAA;;wBAHG,OAAO,GAAG,SAGb;wBAEH,YAAY,CAAC,OAAO,CAAC,UAAA,CAAC,IAAI,OAAA,CAAC,YAAY,EAAE,CAAC,MAAM,IAAI,CAAC,CAAC,OAAO,EAAE,EAArC,CAAqC,CAAC,CAAA;wBAEhE,sBAAO,OAAO,EAAA;;;;KACf;IACH,oCAAC;AAAD,CAAC,AAtBD,CAEU,8BAA8B,GAoBvC;;AAED;IAEU,2DAA4F;IAFtG;;IAqBA,CAAC;IAjBc,6CAAG,GAAhB;;;;;4BAEuB,qBAAM,IAAI,CAAC,UAAU,EAAA;;wBAApC,YAAY,GAAG,SAAqB;wBAC1C,IAAI,CAAC,YAAY,EAAE;4BACjB,sBAAM;yBACP;wBAEO,WAAW,GAAK,YAAY,YAAjB,CAAiB;6BACyB,CAAA,IAAI,CAAC,KAAK,YAAY,EAAE,CAAC,MAAM,CAAA,EAA/B,wBAA+B;wBACxF,qBAAM,kBAAkB,CAAC,IAAI,CAAC,KAAK,EAAE,CAAC,WAAW,CAAC,CAAC,EAAA;;wBAAnD,KAAA,SAAmD,CAAA;;4BACnD,qBAAM,YAAY,CAAC,IAAI,CAAC,KAAK,EAAE,CAAC,WAAW,CAAC,CAAC,EAAA;;wBAA7C,KAAA,SAA6C,CAAA;;;wBAF3C,YAAY,KAE+B;wBAC9B,qBAAM,IAAI,CAAC,kBAAkB,CAAC,qBAAqB,CAAC,YAAY,CAAC,CAAC,CAAC,CAAC,EAAA;;wBAAjF,UAAU,GAAG,SAAoF;wBAEvG,YAAY,CAAC,OAAO,CAAC,UAAA,CAAC,IAAI,OAAA,CAAC,YAAY,EAAE,CAAC,MAAM,IAAI,CAAC,CAAC,OAAO,EAAE,EAArC,CAAqC,CAAC,CAAA;wBAEhE,sBAAO,wBAAwB,CAAC,YAAY,EAAE,UAAU,CAAC,EAAA;;;;KAC1D;IACH,sCAAC;AAAD,CAAC,AArBD,CAEU,8BAA8B,GAmBvC"}
\ No newline at end of file
diff --git a/build/es6/globalApi/DetectFaceLandmarksTasks.d.ts b/build/es6/globalApi/DetectFaceLandmarksTasks.d.ts
deleted file mode 100644
index 2c528911..00000000
--- a/build/es6/globalApi/DetectFaceLandmarksTasks.d.ts
+++ /dev/null
@@ -1,22 +0,0 @@
-import { TNetInput } from 'tfjs-image-recognition-base';
-import { FaceLandmark68Net } from '../faceLandmarkNet/FaceLandmark68Net';
-import { FaceLandmark68TinyNet } from '../faceLandmarkNet/FaceLandmark68TinyNet';
-import { WithFaceDetection } from '../factories/WithFaceDetection';
-import { WithFaceLandmarks } from '../factories/WithFaceLandmarks';
-import { ComposableTask } from './ComposableTask';
-import { ComputeAllFaceDescriptorsTask, ComputeSingleFaceDescriptorTask } from './ComputeFaceDescriptorsTasks';
-export declare class DetectFaceLandmarksTaskBase extends ComposableTask {
- protected parentTask: ComposableTask | Promise;
- protected input: TNetInput;
- protected useTinyLandmarkNet: boolean;
- constructor(parentTask: ComposableTask | Promise, input: TNetInput, useTinyLandmarkNet: boolean);
- protected readonly landmarkNet: FaceLandmark68Net | FaceLandmark68TinyNet;
-}
-export declare class DetectAllFaceLandmarksTask