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photo.js
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photo.js
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const tf = require('@tensorflow/tfjs-node');
class Photo {
/**
* @param {HTMLVideoElement} webcamElement A HTMLVideoElement representing the webcam feed.
*/
constructor(webcamElement) {
this.webcamElement = webcamElement;
}
/**
* Cleanup an image and normalizes it between -1 and 1.
* Returns a batched image (1-element batch) of shape [1, w, h, c].
*/
cleanup() {
return tf.tidy(() => {
// Reads the image as a Tensor from the webcam <video> element.
const inputImage = tf.browser.fromPixels(this.webcamElement);
// Crop the image so we're using the center square of the rectangular
// webcam.
const croppedImage = this.cropImage(inputImage);
// Expand the outer most dimension so we have a batch size of 1.
const batchedImage = croppedImage.expandDims(0);
// Normalize the image between -1 and 1. The image comes in between 0-255
// so we divide by 127 and subtract 1.
return batchedImage.toFloat().div(tf.scalar(127)).sub(tf.scalar(1));
});
}
/**
* Crops an image tensor so we get a square image with no white space.
* @param {Tensor3D} img An input image Tensor to crop.
*/
cropImage(img) {
const size = Math.min(img.shape[0], img.shape[1]);
const centerHeight = img.shape[0] / 2;
const beginHeight = centerHeight - size / 2;
const centerWidth = img.shape[1] / 2;
const beginWidth = centerWidth - size / 2;
return img.slice([beginHeight, beginWidth, 0], [size, size, 3]);
}
/**
* Adjusts the video size so we can make a centered square crop without
* including whitespace.
* @param {number} width The real width of the video element.
* @param {number} height The real height of the video element.
*/
adjustVideoSize(width, height) {
const aspectRatio = width / height;
if (width >= height) {
this.webcamElement.width = aspectRatio * this.webcamElement.height;
} else if (width < height) {
this.webcamElement.height = this.webcamElement.width / aspectRatio;
}
}
}
module.exports = Photo;