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human
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add dynamic viewport and fix web worker

pull/134/head
Vladimir Mandic 2021-04-05 11:48:24 -04:00
parent 18586f5a9e
commit da8e441ad9
14 changed files with 214 additions and 199 deletions
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8
CHANGELOG.md
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@ -1,6 +1,6 @@
# @vladmandic/human # @vladmandic/human
Version: **1.3.3** Version: **1.3.4**
Description: **Human: AI-powered 3D Face Detection, Face Description & Recognition, Body Pose Tracking, Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction & Gesture Recognition** Description: **Human: AI-powered 3D Face Detection, Face Description & Recognition, Body Pose Tracking, Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction & Gesture Recognition**
Author: **Vladimir Mandic <mandic00@live.com>** Author: **Vladimir Mandic <mandic00@live.com>**
@ -9,9 +9,13 @@ Repository: **<git+https://github.com/vladmandic/human.git>**
## Changelog ## Changelog
### **HEAD -> main** 2021/04/04 mandic00@live.com ### **HEAD -> main** 2021/04/05 mandic00@live.com
### **1.3.4** 2021/04/04 mandic00@live.com
- implement webhint
### **1.3.3** 2021/04/03 mandic00@live.com ### **1.3.3** 2021/04/03 mandic00@live.com
- fix linting and tests - fix linting and tests

6
demo/index.html
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@ -3,7 +3,7 @@
<head> <head>
<title>Human</title> <title>Human</title>
<meta http-equiv="content-type" content="text/html; charset=utf-8"> <meta http-equiv="content-type" content="text/html; charset=utf-8">
<meta name="viewport" content="width=device-width, shrink-to-fit=yes"> <meta name="viewport" content="width=device-width">
<meta name="keywords" content="Human"> <meta name="keywords" content="Human">
<meta name="application-name" content="Human"> <meta name="application-name" content="Human">
<meta name="description" content="Human: 3D Face Detection, Body Pose, Hand & Finger Tracking, Iris Tracking, Age & Gender Prediction, Emotion Prediction & Gesture Recognition; Author: Vladimir Mandic <https://github.com/vladmandic>"> <meta name="description" content="Human: 3D Face Detection, Body Pose, Hand & Finger Tracking, Iris Tracking, Age & Gender Prediction, Emotion Prediction & Gesture Recognition; Author: Vladimir Mandic <https://github.com/vladmandic>">
@ -19,12 +19,12 @@
body { margin: 0; background: black; color: white; overflow-x: hidden } body { margin: 0; background: black; color: white; overflow-x: hidden }
body::-webkit-scrollbar { display: none; } body::-webkit-scrollbar { display: none; }
hr { width: 100%; } hr { width: 100%; }
.play { position: absolute; width: 250px; height: 250px; z-index: 9; top: 55%; left: 50%; margin-left: -125px; display: none; } .play { position: absolute; width: 250px; height: 250px; z-index: 9; bottom: 15%; left: 50%; margin-left: -125px; display: none; }
.btn-background { fill:grey; cursor: pointer; opacity: 0.6; } .btn-background { fill:grey; cursor: pointer; opacity: 0.6; }
.btn-background:hover { opacity: 1; } .btn-background:hover { opacity: 1; }
.btn-foreground { fill:white; cursor: pointer; opacity: 0.8; } .btn-foreground { fill:white; cursor: pointer; opacity: 0.8; }
.btn-foreground:hover { opacity: 1; } .btn-foreground:hover { opacity: 1; }
.status { position: absolute; width: 100vw; bottom: 15%; text-align: center; font-size: 4rem; font-weight: 100; text-shadow: 2px 2px darkslategrey; } .status { position: absolute; width: 100vw; bottom: 10%; text-align: center; font-size: 4rem; font-weight: 100; text-shadow: 2px 2px darkslategrey; }
.thumbnail { margin: 8px; box-shadow: 0 0 4px 4px dimgrey; } .thumbnail { margin: 8px; box-shadow: 0 0 4px 4px dimgrey; }
.thumbnail:hover { box-shadow: 0 0 8px 8px dimgrey; filter: grayscale(1); } .thumbnail:hover { box-shadow: 0 0 8px 8px dimgrey; filter: grayscale(1); }
.log { position: absolute; bottom: 0; margin: 0.4rem; font-size: 0.9rem; } .log { position: absolute; bottom: 0; margin: 0.4rem; font-size: 0.9rem; }

4
demo/index.js
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@ -189,6 +189,9 @@ async function drawResults(input) {
async function setupCamera() { async function setupCamera() {
if (ui.busy) return null; if (ui.busy) return null;
ui.busy = true; ui.busy = true;
const viewportScale = Math.min(1, Math.round(100 * window.outerWidth / 700) / 100);
log('demo viewport scale:', viewportScale);
document.querySelector('meta[name=viewport]').setAttribute('content', `width=device-width, shrink-to-fit=no; initial-scale=${viewportScale}`);
const video = document.getElementById('video'); const video = document.getElementById('video');
const canvas = document.getElementById('canvas'); const canvas = document.getElementById('canvas');
const output = document.getElementById('log'); const output = document.getElementById('log');
@ -569,6 +572,7 @@ async function main() {
const res = await human.warmup(userConfig); // this is not required, just pre-warms all models for faster initial inference const res = await human.warmup(userConfig); // this is not required, just pre-warms all models for faster initial inference
if (res && res.canvas && ui.drawWarmup) await drawWarmup(res); if (res && res.canvas && ui.drawWarmup) await drawWarmup(res);
} }
await setupCamera();
status('human: ready'); status('human: ready');
document.getElementById('loader').style.display = 'none'; document.getElementById('loader').style.display = 'none';
document.getElementById('play').style.display = 'block'; document.getElementById('play').style.display = 'block';

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dist/human.node-gpu.js vendored
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dist/human.node-gpu.js.map vendored
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dist/human.node.js vendored
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31
src/image/image.ts
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@ -18,13 +18,13 @@ export function process(input, config): { tensor: tf.Tensor, canvas: OffscreenCa
if (!input) throw new Error('Human: Input is missing'); if (!input) throw new Error('Human: Input is missing');
if ( if (
!(input instanceof tf.Tensor) !(input instanceof tf.Tensor)
&& !(input instanceof Image) && !(typeof Image !== 'undefined' && input instanceof Image)
&& !(input instanceof ImageData) && !(typeof ImageData !== 'undefined' && input instanceof ImageData)
&& !(input instanceof ImageBitmap) && !(typeof ImageBitmap !== 'undefined' && input instanceof ImageBitmap)
&& !(input instanceof HTMLImageElement) && !(typeof HTMLImageElement !== 'undefined' && input instanceof HTMLImageElement)
&& !(input instanceof HTMLVideoElement) && !(typeof HTMLVideoElement !== 'undefined' && input instanceof HTMLVideoElement)
&& !(input instanceof HTMLCanvasElement) && !(typeof HTMLCanvasElement !== 'undefined' && input instanceof HTMLCanvasElement)
&& !(input instanceof OffscreenCanvas) && !(typeof OffscreenCanvas !== 'undefined' && input instanceof OffscreenCanvas)
) { ) {
throw new Error('Human: Input type is not recognized'); throw new Error('Human: Input type is not recognized');
} }
@ -107,14 +107,21 @@ export function process(input, config): { tensor: tf.Tensor, canvas: OffscreenCa
if (fx) fx = null; if (fx) fx = null;
} }
let pixels; let pixels;
if (outCanvas.data) { if (outCanvas.data) { // if we have data, just convert to tensor
const shape = [outCanvas.height, outCanvas.width, 3]; const shape = [outCanvas.height, outCanvas.width, 3];
pixels = tf.tensor3d(outCanvas.data, shape, 'int32'); pixels = tf.tensor3d(outCanvas.data, shape, 'int32');
} else if ((config.backend === 'webgl') || (outCanvas instanceof ImageData)) { } else if (outCanvas instanceof ImageData) { // if input is imagedata, just use it
// tf kernel-optimized method to get imagedata, also if input is imagedata, just use it
pixels = tf.browser.fromPixels(outCanvas); pixels = tf.browser.fromPixels(outCanvas);
} else { } else if (config.backend === 'webgl' || config.backend === 'humangl') { // tf kernel-optimized method to get imagedata
// cpu and wasm kernel does not implement efficient fromPixels method nor we can use canvas as-is, so we do a silly one more canvas // we can use canvas as-is as it already has a context, so we do a silly one more canvas
const tempCanvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(targetWidth, targetHeight) : document.createElement('canvas');
tempCanvas.width = targetWidth;
tempCanvas.height = targetHeight;
const tempCtx = tempCanvas.getContext('2d');
tempCtx?.drawImage(outCanvas, 0, 0);
pixels = tf.browser.fromPixels(tempCanvas);
} else { // cpu and wasm kernel does not implement efficient fromPixels method
// we can use canvas as-is as it already has a context, so we do a silly one more canvas
const tempCanvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(targetWidth, targetHeight) : document.createElement('canvas'); const tempCanvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(targetWidth, targetHeight) : document.createElement('canvas');
tempCanvas.width = targetWidth; tempCanvas.width = targetWidth;
tempCanvas.height = targetHeight; tempCanvas.height = targetHeight;