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justadudewhohacksjustadudewhohacks
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fixed some typos
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‎README.md

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@@ -170,6 +170,7 @@ await faceapi.nets.ssdMobilenetv1.loadFromUri('/models')
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// accordingly for the other models:
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// await faceapi.nets.faceLandmark68Net.loadFromUri('/models')
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// await faceapi.nets.faceRecognitionNet.loadFromUri('/models')
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// ...
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```
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In a nodejs environment you can furthermore load the models directly from disk:
@@ -274,13 +275,13 @@ const detectionsWithLandmarks = await faceapi.detectAllFaces(input).withFaceLand
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**After face detection and facial landmark prediction the face descriptors for each face can be computed as follows:**
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Detect all faces in an image + computes 68 Point Face Landmarks for each detected face. Returns **Array<[WithFaceDescriptor<WithFaceLandmarks<WithFaceDetection<{}>>>](#getting-started-utility-classes)>**:
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Detect all faces in an image + compute 68 Point Face Landmarks for each detected face. Returns **Array<[WithFaceDescriptor<WithFaceLandmarks<WithFaceDetection<{}>>>](#getting-started-utility-classes)>**:
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``` javascript
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const results = await faceapi.detectAllFaces(input).withFaceLandmarks().withFaceDescriptors()
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```
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Detect the face with the highest confidence score in an image + computes 68 Point Face Landmarks and face descriptor for that face. Returns **[WithFaceDescriptor<WithFaceLandmarks<WithFaceDetection<{}>>>](#getting-started-utility-classes) | undefined**:
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Detect the face with the highest confidence score in an image + compute 68 Point Face Landmarks and face descriptor for that face. Returns **[WithFaceDescriptor<WithFaceLandmarks<WithFaceDetection<{}>>>](#getting-started-utility-classes) | undefined**:
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``` javascript
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const result = await faceapi.detectSingleFace(input).withFaceLandmarks().withFaceDescriptor()
@@ -290,21 +291,21 @@ const result = await faceapi.detectSingleFace(input).withFaceLandmarks().withFac
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**Face expression recognition can be performed for detected faces as follows:**
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Detect all faces in an image + recognize face expressions. Returns **Array<[WithFaceExpressions<WithFaceLandmarks<WithFaceDetection<{}>>>](#getting-started-utility-classes)>**:
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Detect all faces in an image + recognize face expressions of each face. Returns **Array<[WithFaceExpressions<WithFaceLandmarks<WithFaceDetection<{}>>>](#getting-started-utility-classes)>**:
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``` javascript
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const detectionsWithExpressions = await faceapi.detectAllFaces(input).withFaceLandmarks().withFaceExpressions()
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```
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Detect the face with the highest confidence score in an image + recognize the face expression for that face. Returns **[WithFaceExpressions<WithFaceLandmarks<WithFaceDetection<{}>>>](#getting-started-utility-classes) | undefined**:
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Detect the face with the highest confidence score in an image + recognize the face expressions for that face. Returns **[WithFaceExpressions<WithFaceLandmarks<WithFaceDetection<{}>>>](#getting-started-utility-classes) | undefined**:
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``` javascript
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const detectionWithExpressions = await faceapi.detectSingleFace(input).withFaceLandmarks().withFaceExpressions()
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```
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**You can also skip .withFaceLandmarks(), which will skip the face alignment step (less stable accuracy):**
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Detect all faces without face alignment + recognize face expressions. Returns **Array<[WithFaceExpressions<WithFaceDetection<{}>>](#getting-started-utility-classes)>**:
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Detect all faces without face alignment + recognize face expressions of each face. Returns **Array<[WithFaceExpressions<WithFaceDetection<{}>>](#getting-started-utility-classes)>**:
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``` javascript
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const detectionsWithExpressions = await faceapi.detectAllFaces(input).withFaceExpressions()
@@ -320,27 +321,27 @@ const detectionWithExpressions = await faceapi.detectSingleFace(input).withFaceE
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**Age estimation and gender recognition from detected faces can be done as follows:**
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Detect all faces in an image + estimate age and recognize gender. Returns **Array<[WithAge<WithGender<WithFaceLandmarks<WithFaceDetection<{}>>>>](#getting-started-utility-classes)>**:
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Detect all faces in an image + estimate age and recognize gender of each face. Returns **Array<[WithAge<WithGender<WithFaceLandmarks<WithFaceDetection<{}>>>>](#getting-started-utility-classes)>**:
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``` javascript
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const detectionsWithAgeAndGender = await faceapi.detectAllFaces(input).withFaceLandmarks().withAgeAndGender()
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```
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Detect the face with the highest confidence score in an image + recognize the face expression for that face. Returns **[WithAge<WithGender<WithFaceLandmarks<WithFaceDetection<{}>>>>](#getting-started-utility-classes) | undefined**:
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Detect the face with the highest confidence score in an image + estimate age and recognize gender for that face. Returns **[WithAge<WithGender<WithFaceLandmarks<WithFaceDetection<{}>>>>](#getting-started-utility-classes) | undefined**:
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``` javascript
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const detectionWithAgeAndGender = await faceapi.detectSingleFace(input).withFaceLandmarks().withAgeAndGender()
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```
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**You can also skip .withFaceLandmarks(), which will skip the face alignment step (less stable accuracy):**
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Detect all faces without face alignment + recognize face expressions. Returns **Array<[WithAge<WithGender<WithFaceDetection<{}>>>](#getting-started-utility-classes)>**:
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Detect all faces without face alignment + estimate age and recognize gender of each face. Returns **Array<[WithAge<WithGender<WithFaceDetection<{}>>>](#getting-started-utility-classes)>**:
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``` javascript
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const detectionsWithAgeAndGender = await faceapi.detectAllFaces(input).withAgeAndGender()
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```
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Detect the face with the highest confidence score without face alignment + recognize the face expression for that face. Returns **[WithAge<WithGender<WithFaceDetection<{}>>>](#getting-started-utility-classes) | undefined**:
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Detect the face with the highest confidence score without face alignment + estimate age and recognize gender for that face. Returns **[WithAge<WithGender<WithFaceDetection<{}>>>](#getting-started-utility-classes) | undefined**:
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``` javascript
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const detectionWithAgeAndGender = await faceapi.detectSingleFace(input).withAgeAndGender()

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