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face-api
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Vladimir Mandic 2021-02-20 21:49:39 -05:00
parent d5b0c77e51
commit b0098e8f17
22 changed files with 851 additions and 981 deletions
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example/index.js
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@ -3,7 +3,7 @@ import * as faceapi from '../dist/face-api.esm.js';
// configuration options
const modelPath = 'https://vladmandic.github.io/face-api/model/'; // path to model folder that will be loaded using http
// const modelPath = '../model/'; // path to model folder that will be loaded using http
const imgSize = 512; // maximum image size in pixels
const imgSize = 720; // maximum image size in pixels
const minScore = 0.1; // minimum score
const maxResults = 10; // maximum number of results to return
const samples = ['sample (1).jpg', 'sample (2).jpg', 'sample (3).jpg', 'sample (4).jpg', 'sample (5).jpg', 'sample (6).jpg']; // sample images to be loaded using http

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@ -1,6 +1,7 @@
// @ts-nocheck
const fs = require('fs');
const process = require('process');
const path = require('path');
const log = require('@vladmandic/pilogger');
// eslint-disable-next-line import/no-extraneous-dependencies, node/no-unpublished-require
@ -11,6 +12,7 @@ const modelPathRoot = '../model';
const imgPathRoot = './example'; // modify to include your sample images
const minScore = 0.1;
const maxResults = 5;
let optionsSSDMobileNet;
async function image(img) {
const buffer = fs.readFileSync(img);
@ -22,10 +24,19 @@ async function image(img) {
return result;
}
async function detect(tensor) {
const result = await faceapi
.detectAllFaces(tensor, optionsSSDMobileNet)
.withFaceLandmarks()
.withFaceExpressions()
.withFaceDescriptors()
.withAgeAndGender();
return result;
}
async function main() {
log.header();
log.info('FaceAPI single-process test');
const t0 = process.hrtime.bigint();
await faceapi.tf.setBackend('tensorflow');
await faceapi.tf.enableProdMode();
@ -41,23 +52,32 @@ async function main() {
await faceapi.nets.faceLandmark68Net.loadFromDisk(modelPath);
await faceapi.nets.faceRecognitionNet.loadFromDisk(modelPath);
await faceapi.nets.faceExpressionNet.loadFromDisk(modelPath);
const optionsSSDMobileNet = new faceapi.SsdMobilenetv1Options({ minConfidence: minScore, maxResults });
optionsSSDMobileNet = new faceapi.SsdMobilenetv1Options({ minConfidence: minScore, maxResults });
if (process.argv.length !== 3) {
const t0 = process.hrtime.bigint();
const dir = fs.readdirSync(imgPathRoot);
for (const img of dir) {
if (!img.toLocaleLowerCase().endsWith('.jpg')) continue;
const tensor = await image(path.join(imgPathRoot, img));
const result = await faceapi
.detectAllFaces(tensor, optionsSSDMobileNet)
.withFaceLandmarks()
.withFaceExpressions()
.withFaceDescriptors()
.withAgeAndGender();
const result = await detect(tensor);
log.data('Image:', img, 'Detected faces:', result.length);
tensor.dispose();
}
const t1 = process.hrtime.bigint();
log.info('Processed', dir.length, 'images in', Math.trunc(parseInt(t1 - t0) / 1000 / 1000), 'ms');
} else {
const param = process.argv[2];
if (fs.existsSync(param)) {
const tensor = await image(param);
const result = await detect(tensor);
log.data('Image:', param, 'Detected faces:', result.length);
for (const i of result) {
log.data('Gender:', i.genderProbability, i.gender, 'Age:', i.age);
}
tensor.dispose();
}
}
}
main();

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@ -38,18 +38,18 @@
},
"homepage": "https://github.com/vladmandic/face-api#readme",
"dependencies": {
"@tensorflow/tfjs-node": "^3.1.0",
"@tensorflow/tfjs-node-gpu": "^3.1.0",
"@vladmandic/pilogger": "^0.2.14"
},
"devDependencies": {
"@tensorflow/tfjs": "^3.1.0",
"@tensorflow/tfjs-backend-wasm": "^3.1.0",
"@tensorflow/tfjs-node": "^3.1.0",
"@tensorflow/tfjs-node-gpu": "^3.1.0",
"@types/node": "^14.14.28",
"@typescript-eslint/eslint-plugin": "^4.15.1",
"@typescript-eslint/parser": "^4.15.1",
"@types/node": "^14.14.31",
"@typescript-eslint/eslint-plugin": "^4.15.2-alpha.5",
"@typescript-eslint/parser": "^4.15.2-alpha.5",
"chokidar": "^3.5.1",
"esbuild": "^0.8.46",
"esbuild": "^0.8.49",
"eslint": "^7.20.0",
"eslint-config-airbnb-base": "^14.2.1",
"eslint-plugin-import": "^2.22.1",
@ -58,6 +58,6 @@
"eslint-plugin-promise": "^4.3.1",
"rimraf": "^3.0.2",
"tslib": "^2.1.0",
"typescript": "^4.1.5"
"typescript": "^4.3.0-dev.20210220"
}
}