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function markPoses(input, poses, showLabels, showFacePoints, pointColor, textColor) {
// TODO: scale to max 640px, clamp, and create square image for posenet model to process
// see: https://developer.mozilla.org/en-US/docs/Web/API/CanvasRenderingContext2D/putImageData
const maxSize = Math.max(input.width, input.height);
const context = DOM.context2d(input.width, input.height, 1); //maxSize, maxSize, 1);
context.putImageData(input.data, 0, 0);
context.font = '16px _sans';
context.textBaseline = 'top';
context.fillStyle = textColor;
context.strokeStyle = pointColor;
context.lineWidth = 2;
if (poses) {
poses.forEach(pose => drawPose(context, pose, showLabels, showFacePoints));
}
context.canvas.style.maxWidth = input.width; //'640px';
// context.canvas.style.maxHeight = `${Math.min(640, input.height)}px`;
return html`${context.canvas}`;
}
function drawPose(context, pose, showLabels, showFacePoints) {
if (pose.keypoints) {
// key points by name
const points = new Map();
pose.keypoints.map(point => points.set(point.name, point));
// draw pose lines: https://github.com/tensorflow/tfjs-models/tree/master/pose-detection#keypoint-diagram
drawLine(context, points.get('left_shoulder'), points.get('right_shoulder'));
drawLine(context, points.get('left_hip'), points.get('right_hip'));
// left arm
drawLine(context, points.get('left_shoulder'), points.get('left_elbow'));
drawLine(context, points.get('left_elbow'), points.get('left_wrist'));
// left side
drawLine(context, points.get('left_shoulder'), points.get('left_hip'));
// left leg
drawLine(context, points.get('left_hip'), points.get('left_knee'));
drawLine(context, points.get('left_knee'), points.get('left_ankle'));
// right arm
drawLine(context, points.get('right_shoulder'), points.get('right_elbow'));
drawLine(context, points.get('right_elbow'), points.get('right_wrist'));
// right side
drawLine(context, points.get('right_shoulder'), points.get('right_hip'));
// right leg
drawLine(context, points.get('right_hip'), points.get('right_knee'));
drawLine(context, points.get('right_knee'), points.get('right_ankle'));
// connect face points
if (showFacePoints) {
drawLine(context, points.get('right_ear'), points.get('right_eye'));
drawLine(context, points.get('right_eye'), points.get('nose'));
drawLine(context, points.get('nose'), points.get('left_eye'));
drawLine(context, points.get('left_eye'), points.get('left_ear'));
}
// draw points and text labels
pose.keypoints.forEach(point => drawPoint(context, point, showLabels, showFacePoints));
}
}
facePoints = ['nose', 'left_eye', 'right_eye', 'left_ear', 'right_ear']
function drawPoint(context, point, showLabels, showFacePoints) {
if (point.score >= scoreThreshold &&
(showFacePoints || !facePoints.includes(point.name))) {
context.beginPath();
context.arc(point.x, point.y, 2, 0, 2 * Math.PI);
context.stroke();
context.closePath();
if (showLabels) {
context.fillText(point.name, point.x, point.y);
}
}
}
function drawLine(context, pointA, pointB) {
if (pointA && pointB) {
context.beginPath();
context.moveTo(pointA.x, pointA.y);
context.lineTo(pointB.x, pointB.y);
context.stroke();
context.closePath();
}
}
viewof player = youtubePlayer('GQ2juiyXk-s')
tf = require('@tensorflow/tfjs-core@3')
poseDetection = requireTF("@tensorflow-models/pose-detection@0.0.3/dist/pose-detection.js")
requireTF = require.alias({
'@tensorflow/tfjs-converter': '@tensorflow/tfjs@3',
'@tensorflow/tfjs-core': '@tensorflow/tfjs@3',
'@mediapipe/pose': false,
fs: false,
path: false,
worker_threads: false,
perf_hooks: false,
os: false
});
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