* 👋 Hello! This is an ml5.js example made and shared with ❤️.

 * Learn more about the ml5.js project: https://ml5js.org/

 * ml5.js license and Code of Conduct: https://github.com/ml5js/ml5-next-gen/blob/main/LICENSE.md

 *

 * This example demonstrates drawing skeletons on poses for the MoveNet model.

 */

​

let video;

let bodyPose;

let poses = [];

let connections;

​

function preload() {

  // Load the bodyPose model

  bodyPose = ml5.bodyPose();

}

​

function setup() {

  createCanvas(640, 480);

​

  // Create the video and hide it

  video = createCapture(VIDEO);

  video.size(640, 480);

  video.hide();

​

  // Start detecting poses in the webcam video

  bodyPose.detectStart(video, gotPoses);

  // Get the skeletal connection information

  connections = bodyPose.getConnections();

}

​

function draw() {

  // Draw the webcam video

  image(video, 0, 0, width, height);

​

  // Draw the skeleton connections

  for (let i = 0; i < poses.length; i++) {

    let pose = poses[i];

    for (let j = 0; j < connections.length; j++) {

      let pointAIndex = connections[j][0];

      let pointBIndex = connections[j][1];

      let pointA = pose.keypoints[pointAIndex];

      let pointB = pose.keypoints[pointBIndex];

      // Only draw a line if both points are confident enough

      if (pointA.confidence > 0.1 && pointB.confidence > 0.1) {

        stroke(255, 0, 0);

        strokeWeight(2);

        line(pointA.x, pointA.y, pointB.x, pointB.y);

      }

    }

  }

​

  // Draw all the tracked landmark points

  for (let i = 0; i < poses.length; i++) {

    let pose = poses[i];

    for (let j = 0; j < pose.keypoints.length; j++) {

      let keypoint = pose.keypoints[j];

      // Only draw a circle if the keypoint's confidence is bigger than 0.1

      if (keypoint.confidence > 0.1) {

        fill(0, 255, 0);

        noStroke();

        circle(keypoint.x, keypoint.y, 10);

      }

    }

  }

}

​

// Callback function for when bodyPose outputs data

function gotPoses(results) {

  // Save the output to the poses variable

  poses = results;

}

​