mirror of https://github.com/vladmandic/human
28 lines
1.5 KiB
JavaScript
28 lines
1.5 KiB
JavaScript
const fs = require('fs');
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const process = require('process');
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// eslint-disable-next-line import/no-extraneous-dependencies, no-unused-vars, @typescript-eslint/no-unused-vars
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const tf = require('@tensorflow/tfjs-node'); // in nodejs environments tfjs-node is required to be loaded before human
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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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const humanConfig = {
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// add any custom config here
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};
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async function detect(inputFile) {
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const human = new Human.Human(humanConfig); // create instance of human using default configuration
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await human.load(); // optional as models would be loaded on-demand first time they are required
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await human.warmup(); // optional as model warmup is performed on-demand first time its executed
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const buffer = fs.readFileSync(inputFile); // read file data into buffer
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const tensor = human.tf.node.decodeImage(buffer); // decode jpg data
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// eslint-disable-next-line no-console
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console.log('loaded input file:', inputFile, 'resolution:', tensor.shape);
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const result = await human.detect(tensor); // run detection; will initialize backend and on-demand load models
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// eslint-disable-next-line no-console
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console.log(result);
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}
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if (process.argv.length === 3) detect(process.argv[2]); // if input file is provided as cmdline parameter use it
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else detect('samples/in/ai-body.jpg'); // else use built-in test inputfile
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