mirror of https://github.com/vladmandic/human
fine tuning age and face models
Vladimir Mandic
parent
4a99831c59
commit
8667da95c2
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@ -0,0 +1,6 @@
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{
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"MD012": false,
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"MD013": false,
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"MD033": false,
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"MD036": false
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}
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10
config.js
10
config.js
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@ -82,10 +82,10 @@ export default {
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// in short time (10 * 1/25 = 0.25 sec)
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skipInitial: false, // if previous detection resulted in no faces detected,
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// should skipFrames be reset immediately
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minConfidence: 0.2, // threshold for discarding a prediction
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iouThreshold: 0.2, // threshold for deciding whether boxes overlap too much in
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minConfidence: 0.1, // threshold for discarding a prediction
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iouThreshold: 0.1, // threshold for deciding whether boxes overlap too much in
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// non-maximum suppression (0.1 means drop if overlap 10%)
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scoreThreshold: 0.2, // threshold for deciding when to remove boxes based on score
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scoreThreshold: 0.1, // threshold for deciding when to remove boxes based on score
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// in non-maximum suppression,
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// this is applied on detection objects only and before minConfidence
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},
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@ -114,7 +114,7 @@ export default {
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gender: {
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enabled: true,
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minConfidence: 0.4, // threshold for discarding a prediction
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minConfidence: 0.1, // threshold for discarding a prediction
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modelPath: '../models/gender.json', // can be 'gender', 'gender-ssrnet-imdb' or 'gender-ssrnet-wiki'
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inputSize: 64, // fixed value
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skipFrames: 41, // how many frames to go without re-running the detector
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@ -124,7 +124,7 @@ export default {
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emotion: {
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enabled: true,
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inputSize: 64, // fixed value
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minConfidence: 0.2, // threshold for discarding a prediction
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minConfidence: 0.1, // threshold for discarding a prediction
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skipFrames: 21, // how many frames to go without re-running the detector
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modelPath: '../models/emotion-large.json', // can be 'mini', 'large'
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},
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@ -31,7 +31,7 @@ const ui = {
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baseFontProto: 'small-caps {size} "Segoe UI"',
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baseLineWidth: 12,
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crop: true,
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columns: 2,
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columns: 4,
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busy: false,
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facing: true,
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useWorker: false,
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@ -339,7 +339,7 @@ async function processImage(input) {
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return new Promise((resolve) => {
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const image = new Image();
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image.onload = async () => {
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log('Processing image:', image.src);
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log('Processing image:', encodeURI(image.src));
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const canvas = document.getElementById('canvas');
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image.width = image.naturalWidth;
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image.height = image.naturalHeight;
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@ -351,7 +351,12 @@ async function processImage(input) {
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const thumb = document.createElement('canvas');
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thumb.className = 'thumbnail';
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thumb.width = window.innerWidth / (ui.columns + 0.1);
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thumb.height = canvas.height / (window.innerWidth / thumb.width);
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thumb.height = thumb.width * canvas.height / canvas.width;
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if (result.face && result.face.length > 0) {
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thumb.title = result.face.map((a, i) => `#${i} face: ${Math.trunc(100 * a.faceConfidence)}% box: ${Math.trunc(100 * a.boxConfidence)}% age: ${Math.trunc(a.age)} gender: ${Math.trunc(100 * a.genderConfidence)}% ${a.gender}`).join(' | ');
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} else {
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thumb.title = 'no face detected';
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}
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const ctx = thumb.getContext('2d');
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ctx.drawImage(canvas, 0, 0, canvas.width, canvas.height, 0, 0, thumb.width, thumb.height);
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document.getElementById('samples-container').appendChild(thumb);
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@ -403,6 +408,7 @@ async function detectSampleImages() {
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log('Running detection of sample images');
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status('processing images');
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document.getElementById('samples-container').innerHTML = '';
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for (const m of Object.values(menu)) m.hide();
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for (const image of ui.samples) await processImage(image);
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status('');
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}
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||||
"bytesInOutput": 768
|
||||
"bytesInOutput": 1945
|
||||
},
|
||||
"src/posenet/decodeMultiple.ts": {
|
||||
"bytesInOutput": 557
|
||||
"bytesInOutput": 1772
|
||||
},
|
||||
"src/posenet/util.ts": {
|
||||
"bytesInOutput": 354
|
||||
"bytesInOutput": 837
|
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},
|
||||
"src/handpose/handpose.ts": {
|
||||
"bytesInOutput": 1281
|
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"bytesInOutput": 2439
|
||||
},
|
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"src/handpose/box.ts": {
|
||||
"bytesInOutput": 938
|
||||
"bytesInOutput": 1991
|
||||
},
|
||||
"src/handpose/handdetector.ts": {
|
||||
"bytesInOutput": 1668
|
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"bytesInOutput": 3525
|
||||
},
|
||||
"src/handpose/util.ts": {
|
||||
"bytesInOutput": 816
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"bytesInOutput": 2320
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},
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"src/handpose/handpipeline.ts": {
|
||||
"bytesInOutput": 2510
|
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"bytesInOutput": 6155
|
||||
},
|
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"src/handpose/anchors.ts": {
|
||||
"bytesInOutput": 126985
|
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"bytesInOutput": 256534
|
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},
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||||
"src/gesture/gesture.ts": {
|
||||
"bytesInOutput": 2391
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"bytesInOutput": 4241
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},
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"src/imagefx.js": {
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||||
"bytesInOutput": 10975
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"bytesInOutput": 20118
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},
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"src/image.ts": {
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"bytesInOutput": 2355
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"bytesInOutput": 4717
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},
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"config.js": {
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||||
"bytesInOutput": 1453
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"bytesInOutput": 2447
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},
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"src/sample.ts": {
|
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"bytesInOutput": 55295
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"bytesInOutput": 55315
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},
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"package.json": {
|
||||
"bytesInOutput": 2572
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}
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},
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"bytes": 1339499
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}
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}
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}
|
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|
|
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|||
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File diff suppressed because one or more lines are too long
|
|
@ -5,7 +5,7 @@
|
|||
"imports": []
|
||||
},
|
||||
"dist/tfjs.esm.js": {
|
||||
"bytes": 690,
|
||||
"bytes": 1287,
|
||||
"imports": []
|
||||
},
|
||||
"src/tfjs/backend.ts": {
|
||||
|
|
@ -52,7 +52,7 @@
|
|||
"imports": []
|
||||
},
|
||||
"src/blazeface/facepipeline.ts": {
|
||||
"bytes": 14151,
|
||||
"bytes": 14154,
|
||||
"imports": [
|
||||
{
|
||||
"path": "dist/tfjs.esm.js",
|
||||
|
|
@ -73,7 +73,7 @@
|
|||
]
|
||||
},
|
||||
"src/blazeface/facemesh.ts": {
|
||||
"bytes": 2922,
|
||||
"bytes": 3095,
|
||||
"imports": [
|
||||
{
|
||||
"path": "src/log.ts",
|
||||
|
|
@ -421,7 +421,7 @@
|
|||
"imports": []
|
||||
},
|
||||
"src/human.ts": {
|
||||
"bytes": 19965,
|
||||
"bytes": 20100,
|
||||
"imports": [
|
||||
{
|
||||
"path": "src/log.ts",
|
||||
|
|
@ -499,7 +499,7 @@
|
|||
"imports": [],
|
||||
"exports": [],
|
||||
"inputs": {},
|
||||
"bytes": 708229
|
||||
"bytes": 823869
|
||||
},
|
||||
"dist/human.node-gpu.js": {
|
||||
"imports": [],
|
||||
|
|
@ -507,121 +507,121 @@
|
|||
"entryPoint": "src/human.ts",
|
||||
"inputs": {
|
||||
"dist/tfjs.esm.js": {
|
||||
"bytesInOutput": 551
|
||||
"bytesInOutput": 1238
|
||||
},
|
||||
"src/blazeface/facemesh.ts": {
|
||||
"bytesInOutput": 1494
|
||||
"bytesInOutput": 3095
|
||||
},
|
||||
"src/posenet/keypoints.ts": {
|
||||
"bytesInOutput": 1677
|
||||
"bytesInOutput": 2527
|
||||
},
|
||||
"src/human.ts": {
|
||||
"bytesInOutput": 10558
|
||||
"bytesInOutput": 17167
|
||||
},
|
||||
"src/log.ts": {
|
||||
"bytesInOutput": 251
|
||||
"bytesInOutput": 307
|
||||
},
|
||||
"src/tfjs/backend.ts": {
|
||||
"bytesInOutput": 1145
|
||||
"bytesInOutput": 1845
|
||||
},
|
||||
"src/blazeface/blazeface.ts": {
|
||||
"bytesInOutput": 2338
|
||||
"bytesInOutput": 5097
|
||||
},
|
||||
"src/blazeface/facepipeline.ts": {
|
||||
"bytesInOutput": 5098
|
||||
"bytesInOutput": 11710
|
||||
},
|
||||
"src/blazeface/box.ts": {
|
||||
"bytesInOutput": 854
|
||||
"bytesInOutput": 1713
|
||||
},
|
||||
"src/blazeface/util.ts": {
|
||||
"bytesInOutput": 848
|
||||
"bytesInOutput": 2247
|
||||
},
|
||||
"src/blazeface/coords.ts": {
|
||||
"bytesInOutput": 28973
|
||||
"bytesInOutput": 40670
|
||||
},
|
||||
"src/faceboxes/faceboxes.ts": {
|
||||
"bytesInOutput": 1613
|
||||
"bytesInOutput": 2814
|
||||
},
|
||||
"src/profile.ts": {
|
||||
"bytesInOutput": 604
|
||||
"bytesInOutput": 950
|
||||
},
|
||||
"src/age/age.ts": {
|
||||
"bytesInOutput": 831
|
||||
"bytesInOutput": 1550
|
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},
|
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"src/gender/gender.ts": {
|
||||
"bytesInOutput": 1319
|
||||
"bytesInOutput": 2688
|
||||
},
|
||||
"src/emotion/emotion.ts": {
|
||||
"bytesInOutput": 1256
|
||||
"bytesInOutput": 2385
|
||||
},
|
||||
"src/embedding/embedding.ts": {
|
||||
"bytesInOutput": 848
|
||||
"bytesInOutput": 1653
|
||||
},
|
||||
"src/posenet/posenet.ts": {
|
||||
"bytesInOutput": 1039
|
||||
"bytesInOutput": 2233
|
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},
|
||||
"src/posenet/modelBase.ts": {
|
||||
"bytesInOutput": 656
|
||||
"bytesInOutput": 1303
|
||||
},
|
||||
"src/posenet/heapSort.ts": {
|
||||
"bytesInOutput": 1017
|
||||
"bytesInOutput": 1440
|
||||
},
|
||||
"src/posenet/buildParts.ts": {
|
||||
"bytesInOutput": 454
|
||||
"bytesInOutput": 1506
|
||||
},
|
||||
"src/posenet/decodePose.ts": {
|
||||
"bytesInOutput": 1282
|
||||
"bytesInOutput": 4649
|
||||
},
|
||||
"src/posenet/vectors.ts": {
|
||||
"bytesInOutput": 345
|
||||
"bytesInOutput": 772
|
||||
},
|
||||
"src/posenet/decoders.ts": {
|
||||
"bytesInOutput": 823
|
||||
"bytesInOutput": 1937
|
||||
},
|
||||
"src/posenet/decodeMultiple.ts": {
|
||||
"bytesInOutput": 553
|
||||
"bytesInOutput": 1710
|
||||
},
|
||||
"src/posenet/util.ts": {
|
||||
"bytesInOutput": 352
|
||||
"bytesInOutput": 788
|
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},
|
||||
"src/handpose/handpose.ts": {
|
||||
"bytesInOutput": 1322
|
||||
"bytesInOutput": 2374
|
||||
},
|
||||
"src/handpose/handdetector.ts": {
|
||||
"bytesInOutput": 1813
|
||||
"bytesInOutput": 3551
|
||||
},
|
||||
"src/handpose/box.ts": {
|
||||
"bytesInOutput": 958
|
||||
"bytesInOutput": 1945
|
||||
},
|
||||
"src/handpose/handpipeline.ts": {
|
||||
"bytesInOutput": 2531
|
||||
"bytesInOutput": 5956
|
||||
},
|
||||
"src/handpose/util.ts": {
|
||||
"bytesInOutput": 806
|
||||
"bytesInOutput": 2198
|
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},
|
||||
"src/handpose/anchors.ts": {
|
||||
"bytesInOutput": 126985
|
||||
"bytesInOutput": 221202
|
||||
},
|
||||
"src/gesture/gesture.ts": {
|
||||
"bytesInOutput": 2391
|
||||
"bytesInOutput": 4071
|
||||
},
|
||||
"src/image.ts": {
|
||||
"bytesInOutput": 2339
|
||||
"bytesInOutput": 4539
|
||||
},
|
||||
"src/imagefx.js": {
|
||||
"bytesInOutput": 10973
|
||||
"bytesInOutput": 18690
|
||||
},
|
||||
"config.js": {
|
||||
"bytesInOutput": 1453
|
||||
"bytesInOutput": 2225
|
||||
},
|
||||
"src/sample.ts": {
|
||||
"bytesInOutput": 55295
|
||||
"bytesInOutput": 55311
|
||||
},
|
||||
"package.json": {
|
||||
"bytesInOutput": 2569
|
||||
"bytesInOutput": 3341
|
||||
}
|
||||
},
|
||||
"bytes": 276986
|
||||
"bytes": 444119
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
|
|||
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because it is too large
Load Diff
|
|
@ -7,8 +7,7 @@ const app = require('../package.json');
|
|||
|
||||
const git = simpleGit();
|
||||
|
||||
let text = `
|
||||
# ${app.name}
|
||||
let text = `# ${app.name}
|
||||
|
||||
Version: **${app.version}**
|
||||
Description: **${app.description}**
|
||||
|
|
@ -26,12 +25,18 @@ async function update(f) {
|
|||
const log = gitLog.all.sort((a, b) => (new Date(b.date).getTime() - new Date(a.date).getTime()));
|
||||
|
||||
let previous = '';
|
||||
const headings = [];
|
||||
for (const l of log) {
|
||||
const msg = l.message.toLowerCase();
|
||||
if ((l.refs !== '') || msg.match(/^[0-9].[0-9].[0-9]/)) {
|
||||
if ((l.refs !== '') || msg.match(/^[0-99].[0-99].[0-99]/)) {
|
||||
const dt = dayjs(l.date).format('YYYY/MM/DD');
|
||||
const ver = msg.match(/[0-9].[0-9].[0-9]/) ? msg : l.refs;
|
||||
text += `\n### **${ver}** ${dt} ${l.author_email}\n`;
|
||||
let ver = msg.match(/[0-99].[0-99].[0-99]/) ? msg : l.refs;
|
||||
ver = ver.replace('tag: v', '').replace('tag: ', 'release: ').split(',')[0];
|
||||
const heading = `\n### **${ver}** ${dt} ${l.author_email}\n\n`;
|
||||
if (!headings.includes(heading) && !ver.startsWith('tag')) {
|
||||
headings.push(heading);
|
||||
text += heading;
|
||||
}
|
||||
} else if ((msg.length > 2) && !msg.startsWith('update') && (previous !== msg)) {
|
||||
previous = msg;
|
||||
text += `- ${msg}\n`;
|
||||
|
|
|
|||
|
|
@ -87,7 +87,7 @@ async function watch() {
|
|||
function handle(url) {
|
||||
return new Promise((resolve) => {
|
||||
let obj = { ok: false };
|
||||
obj.file = url;
|
||||
obj.file = decodeURI(url);
|
||||
if (!fs.existsSync(obj.file)) resolve(null);
|
||||
obj.stat = fs.statSync(obj.file);
|
||||
if (obj.stat.isFile()) obj.ok = true;
|
||||
|
|
|
|||
|
|
@ -22,9 +22,7 @@ export class MediaPipeFaceMesh {
|
|||
const meshRaw = prediction.rawCoords;
|
||||
const annotations = {};
|
||||
if (mesh && mesh.length > 0) {
|
||||
for (const key of Object.keys(coords.MESH_ANNOTATIONS)) {
|
||||
annotations[key] = coords.MESH_ANNOTATIONS[key].map((index) => mesh[index]);
|
||||
}
|
||||
for (const key of Object.keys(coords.MESH_ANNOTATIONS)) annotations[key] = coords.MESH_ANNOTATIONS[key].map((index) => mesh[index]);
|
||||
}
|
||||
const boxRaw = (config.face.mesh.returnRawData && prediction.box) ? { topLeft: prediction.box.startPoint, bottomRight: prediction.box.endPoint } : null;
|
||||
const box = prediction.box ? [
|
||||
|
|
@ -33,7 +31,17 @@ export class MediaPipeFaceMesh {
|
|||
Math.min(input.shape[2], prediction.box.endPoint[0]) - prediction.box.startPoint[0],
|
||||
Math.min(input.shape[1], prediction.box.endPoint[1]) - prediction.box.startPoint[1],
|
||||
] : 0;
|
||||
results.push({ confidence: prediction.confidence || 0, box, mesh, boxRaw, meshRaw, annotations, image: prediction.image ? tf.clone(prediction.image) : null });
|
||||
results.push({
|
||||
confidence: prediction.faceConfidence || prediction.boxConfidence || 0,
|
||||
boxConfidence: prediction.boxConfidence,
|
||||
faceConfidence: prediction.faceConfidence,
|
||||
box,
|
||||
mesh,
|
||||
boxRaw,
|
||||
meshRaw,
|
||||
annotations,
|
||||
image: prediction.image ? tf.clone(prediction.image) : null,
|
||||
});
|
||||
if (prediction.coords) prediction.coords.dispose();
|
||||
if (prediction.image) prediction.image.dispose();
|
||||
}
|
||||
|
|
|
|||
|
|
@ -251,7 +251,7 @@ export class Pipeline {
|
|||
coords: transformedCoords,
|
||||
box: landmarksBox,
|
||||
faceConfidence,
|
||||
confidence: box.confidence,
|
||||
boxConfidence: box.confidence,
|
||||
image: face,
|
||||
rawCoords,
|
||||
};
|
||||
|
|
|
|||
|
|
@ -235,7 +235,7 @@ class Human {
|
|||
let genderRes;
|
||||
let emotionRes;
|
||||
let embeddingRes;
|
||||
const faceRes: Array<{ confidence: number, box: any, mesh: any, meshRaw: any, boxRaw: any, annotations: any, age: number, gender: string, genderConfidence: number, emotion: string, embedding: any, iris: number }> = [];
|
||||
const faceRes: Array<{ confidence: number, boxConfidence: number, faceConfidence: number, box: any, mesh: any, meshRaw: any, boxRaw: any, annotations: any, age: number, gender: string, genderConfidence: number, emotion: string, embedding: any, iris: number }> = [];
|
||||
this.state = 'run:face';
|
||||
timeStamp = now();
|
||||
const faces = await this.models.face?.estimateFaces(input, this.config);
|
||||
|
|
@ -316,6 +316,8 @@ class Human {
|
|||
// combine results
|
||||
faceRes.push({
|
||||
confidence: face.confidence,
|
||||
faceConfidence: face.faceConfidence,
|
||||
boxConfidence: face.boxConfidence,
|
||||
box: face.box,
|
||||
mesh: face.mesh,
|
||||
boxRaw: face.boxRaw,
|
||||
|
|
|
|||
|
|
@ -26,6 +26,8 @@ declare class Human {
|
|||
checkBackend(force?: boolean): Promise<void>;
|
||||
detectFace(input: any): Promise<{
|
||||
confidence: number;
|
||||
boxConfidence: number;
|
||||
faceConfidence: number;
|
||||
box: any;
|
||||
mesh: any;
|
||||
meshRaw: any;
|
||||
|
|
|
|||
Loading…
Reference in New Issue