mirror of https://github.com/vladmandic/human
66 lines
2.1 KiB
JavaScript
66 lines
2.1 KiB
JavaScript
const tf = require('@tensorflow/tfjs-node');
|
|
const fs = require('fs');
|
|
const process = require('process');
|
|
const console = require('console');
|
|
const human = require('..'); // this resolves to project root which is '@vladmandic/human'
|
|
|
|
const logger = new console.Console({
|
|
stdout: process.stdout,
|
|
stderr: process.stderr,
|
|
ignoreErrors: true,
|
|
groupIndentation: 2,
|
|
inspectOptions: {
|
|
showHidden: true,
|
|
depth: 5,
|
|
colors: true,
|
|
showProxy: true,
|
|
maxArrayLength: 1024,
|
|
maxStringLength: 10240,
|
|
breakLength: 200,
|
|
compact: 64,
|
|
sorted: false,
|
|
getters: true,
|
|
},
|
|
});
|
|
|
|
const config = {
|
|
backend: 'tensorflow',
|
|
console: true,
|
|
face: {
|
|
detector: { modelPath: 'file://models/blazeface/back/model.json' },
|
|
mesh: { modelPath: 'file://models/facemesh/model.json' },
|
|
iris: { modelPath: 'file://models/iris/model.json' },
|
|
age: { modelPath: 'file://models/ssrnet-age/imdb/model.json' },
|
|
gender: { modelPath: 'file://models/ssrnet-gender/imdb/model.json' },
|
|
emotion: { modelPath: 'file://models/emotion/model.json' },
|
|
},
|
|
body: { modelPath: 'file://models/posenet/model.json' },
|
|
hand: {
|
|
detector: { anchors: 'file://models/handdetect/anchors.json', modelPath: 'file://models/handdetect/model.json' },
|
|
skeleton: { modelPath: 'file://models/handskeleton/model.json' },
|
|
},
|
|
};
|
|
|
|
async function detect(input, output) {
|
|
await tf.setBackend('tensorflow');
|
|
await tf.ready();
|
|
logger.info('TFJS Flags:', tf.env().features);
|
|
logger.log('Loading:', input);
|
|
const buffer = fs.readFileSync(input);
|
|
const image = tf.node.decodeImage(buffer);
|
|
logger.log('Processing:', image.shape);
|
|
const result = await human.detect(image, config);
|
|
image.dispose();
|
|
logger.log(result);
|
|
// Draw detected data and save processed image
|
|
logger.log('TODO Saving:', output);
|
|
}
|
|
|
|
async function main() {
|
|
if (process.argv.length !== 4) logger.error('Parameters: <input image> <output image>');
|
|
else if (!fs.existsSync(process.argv[2])) logger.error(`File not found: ${process.argv[2]}`);
|
|
else detect(process.argv[2], process.argv[3]);
|
|
}
|
|
|
|
main();
|