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>
436 lines
13 KiB
HTML
436 lines
13 KiB
HTML
<!-- face.html • Single-file MediaPipe Face Landmarker demo -->
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<!-- Copyright 2023 The MediaPipe Authors.
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Licensed under the Apache License, Version 2.0 -->
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<!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 http-equiv="Cache-control" content="no-cache, no-store, must-revalidate" />
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<meta http-equiv="Pragma" content="no-cache" />
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<meta name="viewport" content="width=device-width, initial-scale=1, user-scalable=no" />
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<title>Face Landmarker</title>
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<!-- Material Components (styles only for the raised button) -->
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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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<style>
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/* Inlined CSS from your snippet (with minor cleanups) */
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body {
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font-family: helvetica, 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 {
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font-style: italic;
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color: #007f8b;
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}
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h2 {
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clear: both;
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}
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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,
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.detectOnClick,
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.blend-shapes {
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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,
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.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 {
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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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.blend-shapes-item {
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display: flex;
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align-items: center;
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height: 20px;
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}
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.blend-shapes-label {
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display: flex;
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width: 120px;
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justify-content: flex-end;
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align-items: center;
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margin-right: 4px;
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}
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.blend-shapes-value {
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display: flex;
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height: 16px;
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align-items: center;
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background-color: #007f8b;
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color: #fff;
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padding: 0 6px;
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border-radius: 2px;
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white-space: nowrap;
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overflow: hidden;
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}
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/* Ensure video/canvas overlap correctly inside the container */
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#liveView > div {
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position: relative;
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display: inline-block;
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}
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#webcam {
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position: absolute; left: 0; top: 0;
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}
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#output_canvas {
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position: absolute; left: 0; top: 0;
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}
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</style>
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</head>
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<body>
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<h1>Face landmark detection using the MediaPipe FaceLandmarker task</h1>
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<section id="demos" class="invisible">
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<h2>Demo: Webcam continuous face landmarks detection</h2>
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<p>
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Hold your face in front of your webcam to get real-time face landmarker detection.<br />
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Click <b>enable webcam</b> below and grant access to the webcam if prompted.
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</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>
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<video id="webcam" autoplay playsinline></video>
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<canvas class="output_canvas" id="output_canvas"></canvas>
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</div>
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</div>
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<div class="blend-shapes">
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<ul class="blend-shapes-list" id="video-blend-shapes"></ul>
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</div>
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</section>
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<script type="module">
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// Inlined JS (converted to plain JS; removed TS types)
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import vision from "https://cdn.jsdelivr.net/npm/@mediapipe/tasks-vision@0.10.3";
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const { FaceLandmarker, FilesetResolver, DrawingUtils } = vision;
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const demosSection = document.getElementById("demos");
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const imageBlendShapes = document.getElementById("image-blend-shapes");
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const videoBlendShapes = document.getElementById("video-blend-shapes");
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let faceLandmarker;
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let runningMode = "IMAGE"; // "IMAGE" | "VIDEO"
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let enableWebcamButton;
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let webcamRunning = false;
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const videoWidth = 480;
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async function createFaceLandmarker() {
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const filesetResolver = await FilesetResolver.forVisionTasks(
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"https://cdn.jsdelivr.net/npm/@mediapipe/tasks-vision@0.10.3/wasm"
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);
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faceLandmarker = await FaceLandmarker.createFromOptions(filesetResolver, {
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baseOptions: {
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modelAssetPath:
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"https://storage.googleapis.com/mediapipe-models/face_landmarker/face_landmarker/float16/1/face_landmarker.task",
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delegate: "GPU",
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},
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outputFaceBlendshapes: true,
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runningMode,
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numFaces: 1,
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});
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demosSection.classList.remove("invisible");
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}
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createFaceLandmarker();
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/********************************************************************
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// Demo 1: Click image to detect landmarks
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********************************************************************/
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const imageContainers = document.getElementsByClassName("detectOnClick");
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for (let imageContainer of imageContainers) {
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imageContainer.children[0].addEventListener("click", handleClick);
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}
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async function handleClick(event) {
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if (!faceLandmarker) {
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console.log("Wait for faceLandmarker 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 faceLandmarker.setOptions({ runningMode });
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}
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const parent = event.target.parentNode;
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const allCanvas = parent.getElementsByClassName("canvas");
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for (let i = allCanvas.length - 1; i >= 0; i--) {
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const n = allCanvas[i];
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n.parentNode.removeChild(n);
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}
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const faceLandmarkerResult = faceLandmarker.detect(event.target);
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const canvas = document.createElement("canvas");
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canvas.setAttribute("class", "canvas");
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canvas.setAttribute("width", event.target.naturalWidth + "px");
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canvas.setAttribute("height", event.target.naturalHeight + "px");
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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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parent.appendChild(canvas);
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const ctx = canvas.getContext("2d");
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const drawingUtils = new DrawingUtils(ctx);
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for (const landmarks of faceLandmarkerResult.faceLandmarks) {
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drawingUtils.drawConnectors(
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landmarks,
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FaceLandmarker.FACE_LANDMARKS_TESSELATION,
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{ color: "#C0C0C070", lineWidth: 1 }
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);
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drawingUtils.drawConnectors(
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landmarks,
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FaceLandmarker.FACE_LANDMARKS_RIGHT_EYE,
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{ color: "#FF3030" }
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);
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drawingUtils.drawConnectors(
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landmarks,
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FaceLandmarker.FACE_LANDMARKS_RIGHT_EYEBROW,
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{ color: "#FF3030" }
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);
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drawingUtils.drawConnectors(
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landmarks,
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FaceLandmarker.FACE_LANDMARKS_LEFT_EYE,
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{ color: "#30FF30" }
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);
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drawingUtils.drawConnectors(
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landmarks,
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FaceLandmarker.FACE_LANDMARKS_LEFT_EYEBROW,
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{ color: "#30FF30" }
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);
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drawingUtils.drawConnectors(
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landmarks,
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FaceLandmarker.FACE_LANDMARKS_FACE_OVAL,
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{ color: "#E0E0E0" }
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);
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drawingUtils.drawConnectors(
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landmarks,
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FaceLandmarker.FACE_LANDMARKS_LIPS,
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{ color: "#E0E0E0" }
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);
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drawingUtils.drawConnectors(
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landmarks,
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FaceLandmarker.FACE_LANDMARKS_RIGHT_IRIS,
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{ color: "#FF3030" }
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);
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drawingUtils.drawConnectors(
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landmarks,
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FaceLandmarker.FACE_LANDMARKS_LEFT_IRIS,
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{ color: "#30FF30" }
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);
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}
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drawBlendShapes(imageBlendShapes, faceLandmarkerResult.faceBlendshapes);
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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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function hasGetUserMedia() {
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return !!(navigator.mediaDevices && navigator.mediaDevices.getUserMedia);
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}
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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 (!faceLandmarker) {
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console.log("Wait! faceLandmarker 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
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? "DISABLE PREDICTIONS"
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: "ENABLE PREDICTIONS";
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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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const drawingUtils = new DrawingUtils(canvasCtx);
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async function predictWebcam() {
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const ratio = video.videoHeight / video.videoWidth;
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video.style.width = videoWidth + "px";
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video.style.height = videoWidth * ratio + "px";
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canvasElement.style.width = videoWidth + "px";
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canvasElement.style.height = videoWidth * ratio + "px";
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canvasElement.width = video.videoWidth;
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canvasElement.height = video.videoHeight;
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if (runningMode === "IMAGE") {
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runningMode = "VIDEO";
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await faceLandmarker.setOptions({ runningMode });
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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 = faceLandmarker.detectForVideo(video, startTimeMs);
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}
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canvasCtx.clearRect(0, 0, canvasElement.width, canvasElement.height);
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if (results && results.faceLandmarks) {
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for (const landmarks of results.faceLandmarks) {
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drawingUtils.drawConnectors(
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landmarks,
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FaceLandmarker.FACE_LANDMARKS_TESSELATION,
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{ color: "#C0C0C070", lineWidth: 1 }
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);
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drawingUtils.drawConnectors(
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landmarks,
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FaceLandmarker.FACE_LANDMARKS_RIGHT_EYE,
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{ color: "#FF3030" }
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);
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drawingUtils.drawConnectors(
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landmarks,
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FaceLandmarker.FACE_LANDMARKS_RIGHT_EYEBROW,
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{ color: "#FF3030" }
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);
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drawingUtils.drawConnectors(
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landmarks,
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FaceLandmarker.FACE_LANDMARKS_LEFT_EYE,
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{ color: "#30FF30" }
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);
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drawingUtils.drawConnectors(
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landmarks,
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FaceLandmarker.FACE_LANDMARKS_LEFT_EYEBROW,
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{ color: "#30FF30" }
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);
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drawingUtils.drawConnectors(
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landmarks,
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FaceLandmarker.FACE_LANDMARKS_FACE_OVAL,
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{ color: "#E0E0E0" }
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);
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drawingUtils.drawConnectors(
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landmarks,
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FaceLandmarker.FACE_LANDMARKS_LIPS,
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{ color: "#E0E0E0" }
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);
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drawingUtils.drawConnectors(
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landmarks,
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FaceLandmarker.FACE_LANDMARKS_RIGHT_IRIS,
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{ color: "#FF3030" }
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);
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drawingUtils.drawConnectors(
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landmarks,
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FaceLandmarker.FACE_LANDMARKS_LEFT_IRIS,
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{ color: "#30FF30" }
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);
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}
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}
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drawBlendShapes(videoBlendShapes, (results && results.faceBlendshapes) || []);
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if (webcamRunning === true) {
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window.requestAnimationFrame(predictWebcam);
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}
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}
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function drawBlendShapes(el, blendShapes) {
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if (!blendShapes || !blendShapes.length) {
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el.innerHTML = "";
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return;
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}
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let htmlMaker = "";
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blendShapes[0].categories.forEach((shape) => {
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const label = shape.displayName || shape.categoryName;
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const pct = Math.max(0, Math.min(1, Number(shape.score) || 0));
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htmlMaker += `
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<li class="blend-shapes-item">
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<span class="blend-shapes-label">${label}</span>
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<span class="blend-shapes-value" style="width: calc(${pct * 100}% - 120px)">${pct.toFixed(4)}</span>
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</li>
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`;
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});
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el.innerHTML = htmlMaker;
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}
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</script>
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</body>
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</html>
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