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cb2d9db
1
Parent(s):
d31f188
Create templates/index.html
Browse files- templates/index.html +74 -0
templates/index.html
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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 name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Live Depth Map</title>
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<style>
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#outputImage {
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width: 640px;
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height: 480px;
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}
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video {
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width: 640px;
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height: 480px;
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display: block;
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margin-bottom: 20px;
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}
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</style>
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</head>
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<body>
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<h1>Live Depth Map</h1>
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<video id="videoElement" autoplay playsinline></video>
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<canvas id="canvasElement" style="display: none;"></canvas>
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<img id="outputImage" alt="Processed Depth Map" />
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<script>
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async function startVideo() {
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const video = document.getElementById('videoElement');
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const stream = await navigator.mediaDevices.getUserMedia({ video: true });
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video.srcObject = stream;
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video.addEventListener('play', async () => {
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const canvas = document.getElementById('canvasElement');
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const context = canvas.getContext('2d');
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const outputImage = document.getElementById('outputImage');
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canvas.width = video.videoWidth;
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canvas.height = video.videoHeight;
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async function processFrame() {
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// Draw the current video frame on the canvas
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context.drawImage(video, 0, 0, canvas.width, canvas.height);
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// Convert canvas image to base64 format
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const frameData = canvas.toDataURL('image/jpeg');
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// Send the base64 data to Flask backend for processing
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const response = await fetch('/process_frame', {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json'
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},
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body: JSON.stringify({ image: frameData })
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});
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const result = await response.json();
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const depthMapUrl = result.depth_map;
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// Update the displayed image with the processed depth map
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outputImage.src = depthMapUrl;
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// Continue processing the next frame
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requestAnimationFrame(processFrame);
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}
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// Start the frame processing loop
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processFrame();
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});
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}
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// Start capturing video once the page is loaded
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window.onload = startVideo;
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</script>
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</body>
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</html>
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