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@venetanji
Last active July 7, 2022 17:41
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const tf = require('@tensorflow/tfjs-node-gpu');
const cv = require("@u4/opencv4nodejs");
const posenet = require("@tensorflow-models/posenet")
let camera = new cv.VideoCapture(0);
camera.set(cv.CAP_PROP_FRAME_WIDTH, 640);
camera.set(cv.CAP_PROP_FRAME_HEIGHT, 480);
async function loadPosenet() {
net = await posenet.load({
architecture: 'ResNet50',
outputStride: 32,
inputResolution: { width: 640, height: 480 },
quantBytes: 2
});
detectPerson()
}
loadPosenet()
const blue = new cv.Vec(255, 0, 0);
const green = new cv.Vec(0, 255, 0);
const red = new cv.Vec(0, 0, 255);
function detectPerson() {
camera.readAsync(async (err, mat) => {
if (err) { console.log('Capture error:', err); return; }
if (mat.empty) { console.log('Empty frame captured'); return; };
// convert to RGB
const plot = new cv.Mat(300, 600, cv.CV_8UC3, [255, 255, 255]);
const buffer = new Uint8Array(mat.getData().buffer);
const tFrame = tf.tensor3d(buffer, [480, 640, 3]);
// // net is your poseNet instance
const pose = await net.estimateSinglePose(tFrame)
// console.log(pose)
// // rightShoulder x - leftShoulder x
const getHistAxis = channel => ([
{
channel,
bins: 256,
ranges: [0, 256]
}
]);
ls = pose.keypoints[6].position
rh = pose.keypoints[11].position
const width = rh.x - ls.x
const height = rh.y - ls.y
console.log(`${width} - ${height}`)
// check region is meaningful
// TODO this check could be improved
if (ls.x > 0 && ls.y > 0 && width > 0 && height > 0) {
try {
mat.drawCircle(new cv.Point2(rh.x, rh.y), 3, green)
mat.drawCircle(new cv.Point2(ls.x, ls.y), 3, red)
//TODO sometimes getRegion complains, not sure why
const torso = mat.getRegion(new cv.Rect(ls.x, ls.y, width, height));
cv.imshow('torso', torso);
cv.waitKey(1);
const bHist = cv.calcHist(torso, getHistAxis(0));
const gHist = cv.calcHist(torso, getHistAxis(1));
const rHist = cv.calcHist(torso, getHistAxis(2));
// plot channel histograms
cv.plot1DHist(bHist, plot, blue, 2);
cv.plot1DHist(gHist, plot, green, 2);
cv.plot1DHist(rHist, plot, red, 2);
cv.imshow('rgb histogram', plot);
cv.waitKey(1);
} catch (error) {
console.log(error)
}
}
cv.imshow('rgb image', mat);
cv.waitKey(1);
detectPerson()
});
}
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