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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,61 +1,50 @@ | ||
| console.log('ml5 version:', ml5.version); | ||
| // Copyright (c) 2018-2023 ml5 | ||
| // | ||
| // This software is released under the MIT License. | ||
| // https://opensource.org/licenses/MIT | ||
|
|
||
| let gui; | ||
| let params = { | ||
| modelType: "MoveNet", | ||
| skeleton: false, | ||
| PointColor: [0, 255, 0, 255], | ||
| }; | ||
|
|
||
| let cam; | ||
| let poseNet; | ||
| let video; | ||
| let bodyPose; | ||
| let poses = []; | ||
|
|
||
| function preload() { | ||
| // Load the bodyPose model | ||
| bodyPose = ml5.bodyPose(); | ||
| } | ||
|
|
||
| function setup() { | ||
| createCanvas(640, 480); | ||
| background(0); | ||
| // webcam | ||
| cam = createCapture(VIDEO); | ||
| cam.size(640, 480); | ||
| cam.hide(); | ||
| // poseNet | ||
| poseNet = ml5.poseNet(cam, modelReady); | ||
| poseNet.on("pose", gotResults); | ||
| // gui | ||
| gui = new dat.GUI(); | ||
| gui.add(params, "modelType"); | ||
| gui.addColor(params, "PointColor"); | ||
|
|
||
| // Create the video and hide it | ||
| video = createCapture(VIDEO); | ||
| video.size(width, height); | ||
| video.hide(); | ||
|
|
||
| // Start detecting poses in the webcam video | ||
| bodyPose.detectStart(video, gotPoses); | ||
| } | ||
|
|
||
| function draw() { | ||
| background(0); | ||
| image(cam, 0, 0); | ||
| // Draw the webcam video | ||
| image(video, 0, 0, width, height); | ||
|
|
||
| noStroke(); | ||
| // Draw all the tracked landmark points | ||
| for (let i = 0; i < poses.length; i++) { | ||
| for (let k = 0; k < poses[i].pose.keypoints.length; k++) { | ||
| // console.log(poses[i].pose.keypoints[k]); | ||
| let point = poses[i].pose.keypoints[k]; | ||
|
|
||
| let x = point.position.x; | ||
| let y = point.position.y; | ||
| let score = point.score; | ||
| let partName = point.part; | ||
|
|
||
| fill(0, 255, 0); | ||
| ellipse(x, y, 5, 5); | ||
|
|
||
| text(partName, x + 15, y + 5); | ||
| text(score.toFixed(2), x + 15, y + 20); | ||
| //https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Number/toFixed | ||
| 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.score > 0.1) { | ||
| fill(0, 255, 0); | ||
| noStroke(); | ||
| circle(keypoint.x, keypoint.y, 10); | ||
| } | ||
| } | ||
| } | ||
| } | ||
|
|
||
| function modelReady() { | ||
| console.log("Model Loaded: PoseNet"); | ||
| } | ||
|
|
||
| function gotResults(newPoses) { | ||
| poses = newPoses; | ||
| // Callback function for when bodyPose outputs data | ||
| function gotPoses(results) { | ||
| // Save the output to the poses variable | ||
| poses = results; | ||
| } |