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human
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updated model defaults

pull/293/head
Vladimir Mandic 2021-02-22 09:13:11 -05:00
parent f1a431f3ef
commit 971f8508bb
5 changed files with 12 additions and 12 deletions
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8
config.js
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@ -76,10 +76,10 @@ export default {
// e.g., if model is running st 25 FPS, we can re-use existing bounding
// box for updated face analysis as the head probably hasn't moved much
// in short time (10 * 1/25 = 0.25 sec)
minConfidence: 0.5, // threshold for discarding a prediction
minConfidence: 0.2, // threshold for discarding a prediction
iouThreshold: 0.2, // threshold for deciding whether boxes overlap too much in
// non-maximum suppression (0.1 means drop if overlap 10%)
scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on score
scoreThreshold: 0.2, // threshold for deciding when to remove boxes based on score
// in non-maximum suppression,
// this is applied on detection objects only and before minConfidence
},
@ -108,8 +108,8 @@ export default {
gender: {
enabled: true,
minConfidence: 0.1, // threshold for discarding a prediction
modelPath: '../models/gender-ssrnet-imdb.json', // can be 'gender', 'gender-ssrnet-imdb' or 'gender-ssrnet-wiki'
minConfidence: 0.4, // threshold for discarding a prediction
modelPath: '../models/gender.json', // can be 'gender', 'gender-ssrnet-imdb' or 'gender-ssrnet-wiki'
inputSize: 64, // fixed value
skipFrames: 41, // how many frames to go without re-running the detector
// only used for video inputs

4
demo/browser.js
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@ -36,7 +36,7 @@ const ui = {
facing: true,
useWorker: false,
worker: 'worker.js',
samples: ['../assets/sample6.jpg', '../assets/sample1.jpg', '../assets/sample4.jpg', '../assets/sample5.jpg', '../assets/sample3.jpg', '../assets/sample2.jpg'],
samples: ['../assets/sample6.jpg', '../assets/sample1.jpg', '../assets/sample4.jpg', '../assets/sample5.jpg', '../assets/sample3.jpg', '../assets/sample2.jpg', '../assets/sample7.jpg', '../assets/sample8.jpg'],
compare: '../assets/sample-me.jpg',
drawBoxes: true,
drawPoints: false,
@ -395,7 +395,7 @@ async function detectVideo() {
async function detectSampleImages() {
document.getElementById('play').style.display = 'none';
userConfig.videoOptimized = false;
const size = Math.trunc(window.devicePixelRatio * (8 + (4 * ui.columns)));
const size = Math.trunc(window.devicePixelRatio * (12 + (4 * ui.columns)));
ui.baseFont = ui.baseFontProto.replace(/{size}/, `${size}px`);
ui.baseLineHeight = size + 2;
document.getElementById('canvas').style.display = 'none';

4
src/human.ts
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@ -219,8 +219,8 @@ class Human {
log('changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:', this.config.deallocate);
this.tf.ENV.set('WEBGL_DELETE_TEXTURE_THRESHOLD', this.config.deallocate ? 0 : -1);
}
this.tf.ENV.set('WEBGL_FORCE_F16_TEXTURES', true);
this.tf.ENV.set('WEBGL_PACK_DEPTHWISECONV', true);
// this.tf.ENV.set('WEBGL_FORCE_F16_TEXTURES', true);
// this.tf.ENV.set('WEBGL_PACK_DEPTHWISECONV', true);
const gl = await this.tf.backend().getGPGPUContext().gl;
log(`gl version:${gl.getParameter(gl.VERSION)} renderer:${gl.getParameter(gl.RENDERER)}`);
}

2
src/image.ts
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@ -43,7 +43,7 @@ export function process(input, config) {
outCanvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(inCanvas.width, inCanvas.height) : document.createElement('canvas');
if (outCanvas.width !== inCanvas.width) outCanvas.width = inCanvas.width;
if (outCanvas.height !== inCanvas.height) outCanvas.height = inCanvas.height;
log('created FX filter');
// log('created FX filter');
fx = tf.ENV.flags.IS_BROWSER ? new fxImage.GLImageFilter({ canvas: outCanvas }) : null; // && (typeof document !== 'undefined')
}
if (!fx) return inCanvas;

6
src/tfjs/backend.ts
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@ -63,9 +63,9 @@ export function register() {
try {
tf.ENV.set('WEBGL_VERSION', 2);
// @ts-ignore
tf.ENV.set('WEBGL_MAX_TEXTURE_SIZE', config.gl.getParameter(config.gl.MAX_TEXTURE_SIZE));
tf.ENV.set('WEBGL_FORCE_F16_TEXTURES', true);
tf.ENV.set('WEBGL_PACK_DEPTHWISECONV', true);
// tf.ENV.set('WEBGL_MAX_TEXTURE_SIZE', config.gl.getParameter(config.gl.MAX_TEXTURE_SIZE));
// tf.ENV.set('WEBGL_FORCE_F16_TEXTURES', true);
// tf.ENV.set('WEBGL_PACK_DEPTHWISECONV', true);
} catch (err) {
log('error: cannot set WebGL backend flags:', err);
return;