mirror of https://github.com/vladmandic/human
64 lines
2.1 KiB
JavaScript
64 lines
2.1 KiB
JavaScript
/**
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* Human Person Similarity test for NodeJS
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*/
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const fs = require('fs');
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const process = require('process');
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const log = require('@vladmandic/pilogger'); // eslint-disable-line node/no-unpublished-require
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// in nodejs environments tfjs-node is required to be loaded before human
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const tf = require('@tensorflow/tfjs-node'); // eslint-disable-line node/no-unpublished-require
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// const human = require('@vladmandic/human'); // use this when human is installed as module (majority of use cases)
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const Human = require('../../dist/human.node.js'); // use this when using human in dev mode
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let human = null;
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const myConfig = {
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modelBasePath: 'file://models/',
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debug: true,
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face: { emotion: { enabled: false } },
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body: { enabled: false },
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hand: { enabled: false },
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gesture: { enabled: false },
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};
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async function init() {
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human = new Human.Human(myConfig);
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await human.tf.ready();
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log.info('Human:', human.version, 'TF:', tf.version_core);
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await human.load();
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log.info('Loaded:', human.models.loaded());
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log.info('Memory state:', human.tf.engine().memory());
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}
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async function detect(input) {
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if (!fs.existsSync(input)) {
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throw new Error('Cannot load image:', input);
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}
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const buffer = fs.readFileSync(input);
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const tensor = human.tf.node.decodeImage(buffer, 3);
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log.state('Loaded image:', input, tensor.shape);
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const result = await human.detect(tensor, myConfig);
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human.tf.dispose(tensor);
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log.state('Detected faces:', result.face.length);
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return result;
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}
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async function main() {
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log.configure({ inspect: { breakLength: 265 } });
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log.header();
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if (process.argv.length !== 4) {
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throw new Error('Parameters: <first image> <second image> missing');
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}
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await init();
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const res1 = await detect(process.argv[2]);
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const res2 = await detect(process.argv[3]);
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if (!res1 || !res1.face || res1.face.length === 0 || !res2 || !res2.face || res2.face.length === 0) {
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throw new Error('Could not detect face descriptors');
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}
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const similarity = human.match.similarity(res1.face[0].embedding, res2.face[0].embedding, { order: 2 });
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log.data('Similarity: ', similarity);
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}
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main();
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