jared
8bcc62b045
HTML demos for face, hand, gesture, and posture tracking using MediaPipe. Includes Python CLI tools for processing video files. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
269 lines
8.6 KiB
HTML
269 lines
8.6 KiB
HTML
<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8" />
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<meta name="viewport" content="width=device-width, initial-scale=1" />
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<title>MediaPipe Hand Landmarker — Single File Demo</title>
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<!-- Material Components (for the button styling) -->
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<link href="https://unpkg.com/material-components-web@latest/dist/material-components-web.min.css" rel="stylesheet">
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<script src="https://unpkg.com/material-components-web@latest/dist/material-components-web.min.js"></script>
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<!-- Drawing utils (provides drawConnectors, drawLandmarks) -->
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<script src="https://cdn.jsdelivr.net/npm/@mediapipe/drawing_utils/drawing_utils.js" crossorigin="anonymous"></script>
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<!-- Hands (provides HAND_CONNECTIONS constant) -->
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<script src="https://cdn.jsdelivr.net/npm/@mediapipe/hands/hands.js" crossorigin="anonymous"></script>
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<style>
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/* Inline CSS from the CodePen, cleaned for single-file use */
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body {
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font-family: Roboto, Arial, sans-serif;
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margin: 2em;
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color: #3d3d3d;
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--mdc-theme-primary: #007f8b;
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--mdc-theme-on-primary: #f1f3f4;
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}
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h1 { color: #007f8b; }
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h2 { clear: both; }
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em { font-weight: bold; }
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video {
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clear: both;
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display: block;
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transform: rotateY(180deg);
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-webkit-transform: rotateY(180deg);
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-moz-transform: rotateY(180deg);
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}
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section {
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opacity: 1;
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transition: opacity 500ms ease-in-out;
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}
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.removed { display: none; }
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.invisible { opacity: 0.2; }
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.note {
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font-style: italic;
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font-size: 130%;
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}
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.videoView, .detectOnClick {
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position: relative;
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float: left;
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width: 48%;
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margin: 2% 1%;
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cursor: pointer;
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}
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.videoView p, .detectOnClick p {
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position: absolute;
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padding: 5px;
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background-color: #007f8b;
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color: #fff;
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border: 1px dashed rgba(255, 255, 255, 0.7);
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z-index: 2;
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font-size: 12px;
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margin: 0;
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}
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.highlighter {
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background: rgba(0, 255, 0, 0.25);
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border: 1px dashed #fff;
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z-index: 1;
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position: absolute;
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}
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.canvas, .output_canvas {
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z-index: 1;
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position: absolute;
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pointer-events: none;
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}
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.output_canvas {
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transform: rotateY(180deg);
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-webkit-transform: rotateY(180deg);
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-moz-transform: rotateY(180deg);
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}
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.detectOnClick { z-index: 0; }
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.detectOnClick img { width: 100%; }
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</style>
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</head>
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<body>
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<h2>Demo: Webcam continuous hands landmarks detection</h2>
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<p>Hold your hand in front of your webcam to get real-time hand landmarker detection.<br>Click <b>ENABLE WEBCAM</b> below and grant access to the webcam if prompted.</p>
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<div id="liveView" class="videoView">
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<button id="webcamButton" class="mdc-button mdc-button--raised">
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<span class="mdc-button__ripple"></span>
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<span class="mdc-button__label">ENABLE WEBCAM</span>
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</button>
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<div style="position: relative;">
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<video id="webcam" style="position: absolute; left: 0; top: 0;" autoplay playsinline></video>
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<canvas class="output_canvas" id="output_canvas" style="left: 0; top: 0;"></canvas>
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</div>
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</div>
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</section>
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<script type="module">
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// Import the Tasks Vision ESM build
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import { HandLandmarker, FilesetResolver } from "https://cdn.jsdelivr.net/npm/@mediapipe/tasks-vision@0.10.0";
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const demosSection = document.getElementById("demos");
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let handLandmarker;
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let runningMode = "IMAGE";
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let enableWebcamButton;
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let webcamRunning = false;
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// Load the model and enable the demos section
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const createHandLandmarker = async () => {
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const vision = await FilesetResolver.forVisionTasks(
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"https://cdn.jsdelivr.net/npm/@mediapipe/tasks-vision@0.10.0/wasm"
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);
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handLandmarker = await HandLandmarker.createFromOptions(vision, {
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baseOptions: {
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modelAssetPath: "https://storage.googleapis.com/mediapipe-models/hand_landmarker/hand_landmarker/float16/1/hand_landmarker.task",
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delegate: "GPU"
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},
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runningMode,
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numHands: 2
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});
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demosSection.classList.remove("invisible");
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};
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createHandLandmarker();
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/********************************************************************
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// Demo 1: Click images to run landmark detection
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********************************************************************/
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const imageContainers = document.getElementsByClassName("detectOnClick");
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for (let i = 0; i < imageContainers.length; i++) {
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const img = imageContainers[i].children[0];
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img.addEventListener("click", handleClick);
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}
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async function handleClick(event) {
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if (!handLandmarker) {
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console.log("Wait for handLandmarker to load before clicking!");
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return;
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}
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if (runningMode === "VIDEO") {
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runningMode = "IMAGE";
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await handLandmarker.setOptions({ runningMode: "IMAGE" });
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}
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const container = event.target.parentNode;
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// Remove old overlays
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const old = container.getElementsByClassName("canvas");
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for (let i = old.length - 1; i >= 0; i--) {
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old[i].parentNode.removeChild(old[i]);
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}
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// Run detection
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const result = handLandmarker.detect(event.target);
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// Create overlay canvas aligned to the image element
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const canvas = document.createElement("canvas");
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canvas.className = "canvas";
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canvas.width = event.target.naturalWidth;
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canvas.height = event.target.naturalHeight;
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canvas.style.left = "0px";
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canvas.style.top = "0px";
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canvas.style.width = event.target.width + "px";
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canvas.style.height = event.target.height + "px";
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container.appendChild(canvas);
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const ctx = canvas.getContext("2d");
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if (result && result.landmarks) {
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for (const landmarks of result.landmarks) {
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// drawConnectors and drawLandmarks are provided by drawing_utils.js
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// HAND_CONNECTIONS is provided by hands.js
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drawConnectors(ctx, landmarks, HAND_CONNECTIONS, {
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color: "#00FF00",
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lineWidth: 5
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});
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drawLandmarks(ctx, landmarks, { color: "#FF0000", lineWidth: 1 });
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}
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}
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}
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/********************************************************************
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// Demo 2: Webcam stream detection
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********************************************************************/
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const video = document.getElementById("webcam");
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const canvasElement = document.getElementById("output_canvas");
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const canvasCtx = canvasElement.getContext("2d");
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const hasGetUserMedia = () => !!(navigator.mediaDevices && navigator.mediaDevices.getUserMedia);
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if (hasGetUserMedia()) {
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enableWebcamButton = document.getElementById("webcamButton");
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enableWebcamButton.addEventListener("click", enableCam);
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} else {
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console.warn("getUserMedia() is not supported by your browser");
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}
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function enableCam() {
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if (!handLandmarker) {
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console.log("Wait! HandLandmarker not loaded yet.");
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return;
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}
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webcamRunning = !webcamRunning;
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enableWebcamButton.innerText = webcamRunning ? "DISABLE PREDICTIONS" : "ENABLE PREDICTIONS";
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if (!webcamRunning) return;
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const constraints = { video: true };
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navigator.mediaDevices.getUserMedia(constraints).then((stream) => {
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video.srcObject = stream;
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video.addEventListener("loadeddata", predictWebcam);
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});
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}
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let lastVideoTime = -1;
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let results;
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async function predictWebcam() {
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// Match canvas to the video size
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canvasElement.style.width = video.videoWidth + "px";
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canvasElement.style.height = video.videoHeight + "px";
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canvasElement.width = video.videoWidth;
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canvasElement.height = video.videoHeight;
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// Switch to VIDEO mode for streaming
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if (runningMode === "IMAGE") {
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runningMode = "VIDEO";
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await handLandmarker.setOptions({ runningMode: "VIDEO" });
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}
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const startTimeMs = performance.now();
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if (lastVideoTime !== video.currentTime) {
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lastVideoTime = video.currentTime;
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results = handLandmarker.detectForVideo(video, startTimeMs);
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}
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canvasCtx.save();
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canvasCtx.clearRect(0, 0, canvasElement.width, canvasElement.height);
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if (results && results.landmarks) {
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for (const landmarks of results.landmarks) {
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drawConnectors(canvasCtx, landmarks, HAND_CONNECTIONS, {
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color: "#00FF00",
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lineWidth: 5
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});
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drawLandmarks(canvasCtx, landmarks, { color: "#FF0000", lineWidth: 2 });
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}
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}
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canvasCtx.restore();
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if (webcamRunning) {
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window.requestAnimationFrame(predictWebcam);
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}
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}
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</script>
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</body>
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</html>
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