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justadudewhohacksjustadudewhohacks
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check in latest build
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‎build/BoundingBox.d.ts

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import { Rect } from './Rect';
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import { Dimensions } from './types';
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export declare class BoundingBox {
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private _left;
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private _top;
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readonly bottom: number;
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readonly width: number;
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readonly height: number;
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readonly area: number;
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toSquare(): BoundingBox;
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round(): BoundingBox;
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padAtBorders(imageHeight: number, imageWidth: number): {
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h: number;
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};
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calibrate(region: BoundingBox): BoundingBox;
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rescale(s: Dimensions | number): BoundingBox;
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toRect(): Rect;
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}

‎build/BoundingBox.js

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‎build/BoundingBox.js.map

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‎build/NetInput.d.ts

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import * as tf from '@tensorflow/tfjs-core';
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import { Point } from './Point';
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import { TResolvedNetInput } from './types';
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import { TResolvedNetInput, Dimensions } from './types';
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export declare class NetInput {
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private _inputs;
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private _canvases;
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private _isManaged;
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private _isBatchInput;
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private _inputDimensions;
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private _paddings;
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private _inputSize;
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constructor(inputs: tf.Tensor4D | Array<TResolvedNetInput>, isBatchInput?: boolean, keepCanvases?: boolean);
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readonly inputs: tf.Tensor3D[];
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readonly canvases: HTMLCanvasElement[];
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readonly batchSize: number;
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readonly inputDimensions: number[][];
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readonly paddings: Point[];
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readonly inputSize: number;
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readonly relativePaddings: Point[];
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readonly reshapedInputDimensions: Dimensions[];
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getInputDimensions(batchIdx: number): number[];
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getInputHeight(batchIdx: number): number;
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getInputWidth(batchIdx: number): number;
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getPaddings(batchIdx: number): Point;
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getRelativePaddings(batchIdx: number): Point;
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getReshapedInputDimensions(batchIdx: number): Dimensions;
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toBatchTensor(inputSize: number, isCenterInputs?: boolean): tf.Tensor4D;
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/**
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* By setting the isManaged flag, all newly created tensors will be automatically
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* By setting the isManaged flag, all newly created tensors will be
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* automatically disposed after the batch tensor has been created
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*/
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managed(): this;

‎build/NetInput.js

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