Spaces:
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Create testeface.html
Browse files- static/testeface.html +65 -0
static/testeface.html
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<!DOCTYPE html>
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<html>
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<head>
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<meta charset="utf-8">
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<script src="https://cdn.jsdelivr.net/npm/@mediapipe/camera_utils/camera_utils.js" crossorigin="anonymous"></script>
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<script src="https://cdn.jsdelivr.net/npm/@mediapipe/control_utils/control_utils.js" crossorigin="anonymous"></script>
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<script src="https://cdn.jsdelivr.net/npm/@mediapipe/drawing_utils/drawing_utils.js" crossorigin="anonymous"></script>
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<script src="https://cdn.jsdelivr.net/npm/@mediapipe/face_mesh/face_mesh.js" crossorigin="anonymous"></script>
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</head>
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<body>
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<div class="container">
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<video id="videoin"class="input_video"></video>
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<canvas class="output_canvas" width="1280px" height="720px"></canvas>
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</div>
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<script type="module">
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const videoElement = document.getElementsByClassName('input_video')[0];
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const canvasElement = document.getElementsByClassName('output_canvas')[0];
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const canvasCtx = canvasElement.getContext('2d');
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function onResults(results) {
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document.getElementById("videoin").style.display = "none";
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canvasCtx.save();
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canvasCtx.clearRect(0, 0, canvasElement.width, canvasElement.height);
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canvasCtx.drawImage(
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results.image, 0, 0, canvasElement.width, canvasElement.height);
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if (results.multiFaceLandmarks) {
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for (const landmarks of results.multiFaceLandmarks) {
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drawConnectors(canvasCtx, landmarks, FACEMESH_TESSELATION,
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{color: '#C0C0C070', lineWidth: 1});
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drawConnectors(canvasCtx, landmarks, FACEMESH_RIGHT_EYE, {color: '#FF3030'});
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drawConnectors(canvasCtx, landmarks, FACEMESH_RIGHT_EYEBROW, {color: '#FF3030'});
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drawConnectors(canvasCtx, landmarks, FACEMESH_RIGHT_IRIS, {color: '#FF3030'});
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drawConnectors(canvasCtx, landmarks, FACEMESH_LEFT_EYE, {color: '#30FF30'});
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drawConnectors(canvasCtx, landmarks, FACEMESH_LEFT_EYEBROW, {color: '#30FF30'});
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drawConnectors(canvasCtx, landmarks, FACEMESH_LEFT_IRIS, {color: '#30FF30'});
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drawConnectors(canvasCtx, landmarks, FACEMESH_FACE_OVAL, {color: '#E0E0E0'});
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drawConnectors(canvasCtx, landmarks, FACEMESH_LIPS, {color: '#E0E0E0'});
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}
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}
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canvasCtx.restore();
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}
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const faceMesh = new FaceMesh({locateFile: (file) => {
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return `https://cdn.jsdelivr.net/npm/@mediapipe/face_mesh/${file}`;
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}});
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faceMesh.setOptions({
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maxNumFaces: 10,
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refineLandmarks: true,
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minDetectionConfidence: 0.5,
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minTrackingConfidence: 0.5
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});
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faceMesh.onResults(onResults);
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const camera = new Camera(videoElement, {
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onFrame: async () => {
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await faceMesh.send({image: videoElement});
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},
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width: 1280,
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height: 720
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});
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camera.start();
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</script>
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</body>
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</html>
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