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const tf = require('@tensorflow/tfjs-node-gpu'); | |
const bodyPix = require('@tensorflow-models/body-pix'); | |
const fs = require('fs'); | |
// https://www.npmjs.com/package/@tensorflow-models/body-pix | |
async function classify() { | |
tf.setBackend('tensorflow') | |
const net = await bodyPix.load({ | |
architecture: 'MobileNetV1', | |
outputStride: 16, | |
multiplier: 0.75, | |
quantBytes: 2 | |
}); | |
const imageBuffer = await fs.promises.readFile("ppl01.jpg"); | |
const image = tf.node.decodeImage(imageBuffer); | |
var start = Date.now(); | |
const segmentation = await net.segmentMultiPerson(image, { | |
flipHorizontal: false, | |
internalResolution: 'medium', | |
segmentationThreshold: 0.7, | |
maxDetections: 10, | |
scoreThreshold: 0.2, | |
nmsRadius: 20, | |
minKeypointScore: 0.3, | |
refineSteps: 10 | |
}); | |
const millis = Date.now() - start; | |
//console.log(segmentation); | |
console.log(millis +" milliseconds"); | |
} | |
try { | |
classify(); | |
} catch(e) { | |
console.log(e); | |
} |
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