Commit 06972db1 by vincent

implemented faster normalize to reduce prediction time

parent 39069eaf
This source diff could not be displayed because it is too large. You can view the blob instead.
......@@ -7,8 +7,7 @@ export function faceRecognitionNet(weights) {
var params = extractParams(weights);
function forward(input) {
return tf.tidy(function () {
var norm = normalize(input);
var x = tf.tensor4d(norm, [1, 150, 150, 3]);
var x = normalize(input);
var out = convDown(x, params.conv32_down);
out = tf.maxPool(out, 3, 2, 'valid');
out = residual(out, params.conv32_1);
......
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export declare function normalize(arr: number[]): number[];
import * as tf from '@tensorflow/tfjs-core';
export declare function normalize(input: number[]): tf.Tensor4D;
export function normalize(arr) {
var avg_r = 122.782;
var avg_g = 117.001;
var avg_b = 104.298;
var avgs = [avg_r, avg_g, avg_b];
return arr.map(function (val, i) {
var avg = avgs[i % 3];
return (val - avg) / 256;
import * as tf from '@tensorflow/tfjs-core';
export function normalize(input) {
return tf.tidy(function () {
var avg_r = tf.fill([1, 150, 150, 1], 122.782);
var avg_g = tf.fill([1, 150, 150, 1], 117.001);
var avg_b = tf.fill([1, 150, 150, 1], 104.298);
var avg_rgb = tf.concat([avg_r, avg_g, avg_b], 3);
var x = tf.tensor4d(input, [1, 150, 150, 3]);
return tf.div(tf.sub(x, avg_rgb), tf.fill(x.shape, 256));
});
}
//# sourceMappingURL=normalize.js.map
\ No newline at end of file
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\ No newline at end of file
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......@@ -12,9 +12,7 @@ export function faceRecognitionNet(weights: Float32Array) {
return tf.tidy(() => {
const norm = normalize(input)
const x = tf.tensor4d(norm, [1, 150, 150, 3])
const x = normalize(input)
let out = convDown(x, params.conv32_down)
out = tf.maxPool(out, 3, 2, 'valid')
......
export function normalize(arr: number[]) {
const avg_r = 122.782;
const avg_g = 117.001;
const avg_b = 104.298;
const avgs = [avg_r, avg_g, avg_b]
return arr.map((val, i) => {
const avg = avgs[i % 3]
return (val - avg) / 256
import * as tf from '@tensorflow/tfjs-core';
export function normalize(input: number[]): tf.Tensor4D {
return tf.tidy(() => {
const avg_r = tf.fill([1, 150, 150, 1], 122.782);
const avg_g = tf.fill([1, 150, 150, 1], 117.001);
const avg_b = tf.fill([1, 150, 150, 1], 104.298);
const avg_rgb = tf.concat([avg_r, avg_g, avg_b], 3)
const x = tf.tensor4d(input, [1, 150, 150, 3])
return tf.div(tf.sub(x, avg_rgb), tf.fill(x.shape, 256))
})
}
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