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srivatsavdamaraju
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obj_nyt
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Update index.html

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  1. index.html +184 -17
index.html CHANGED
@@ -1,19 +1,186 @@
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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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- <meta name="viewport" content="width=device-width" />
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- <title>My static Space</title>
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- <link rel="stylesheet" href="style.css" />
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- </head>
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- <body>
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- <div class="card">
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- <h1>Welcome to your static Space!</h1>
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- <p>You can modify this app directly by editing <i>index.html</i> in the Files and versions tab.</p>
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- <p>
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- Also don't forget to check the
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- <a href="https://huggingface.co/docs/hub/spaces" target="_blank">Spaces documentation</a>.
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- </p>
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- </div>
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- </body>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  </html>
 
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+ <!DOCTYPE html>
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  <html>
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+ <head>
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+ <title>AI Night Vision Camera</title>
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+ <script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs"></script>
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+ <script src="https://cdn.jsdelivr.net/npm/@tensorflow-models/coco-ssd"></script>
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+ <style>
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+ body {
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+ margin: 0;
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+ background: #000;
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+ color: #fff;
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+ font-family: monospace;
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+ }
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+ .container {
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+ max-width: 1200px;
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+ margin: 0 auto;
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+ padding: 20px;
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+ display: flex;
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+ flex-direction: column;
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+ align-items: center;
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+ }
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+ .video-container {
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+ position: relative;
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+ width: 640px;
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+ height: 480px;
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+ border: 2px solid #0f0;
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+ border-radius: 8px;
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+ overflow: hidden;
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+ }
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+ #video {
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+ width: 100%;
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+ height: 100%;
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+ object-fit: cover;
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+ transform: scaleX(-1);
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+ }
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+ #canvas {
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+ position: absolute;
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+ top: 0;
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+ left: 0;
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+ transform: scaleX(-1);
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+ }
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+ .detection-info {
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+ margin-top: 20px;
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+ padding: 10px;
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+ background: rgba(0, 255, 0, 0.1);
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+ border: 1px solid #0f0;
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+ border-radius: 4px;
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+ width: 100%;
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+ max-width: 620px;
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+ }
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+ .stats {
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+ display: flex;
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+ justify-content: space-between;
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+ margin-top: 10px;
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+ font-size: 14px;
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+ }
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+ .detection-box {
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+ position: absolute;
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+ border: 2px solid #0f0;
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+ background: rgba(0, 255, 0, 0.1);
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+ }
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+ .detection-label {
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+ position: absolute;
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+ top: -25px;
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+ left: 0;
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+ background: #0f0;
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+ color: #000;
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+ padding: 2px 6px;
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+ font-size: 12px;
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+ border-radius: 2px;
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+ }
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+ </style>
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+ </head>
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+ <body>
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+ <div class="container">
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+ <div class="video-container">
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+ <video id="video" autoplay playsinline></video>
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+ <canvas id="canvas"></canvas>
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+ </div>
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+
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+ <div class="detection-info">
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+ <div id="detections"></div>
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+ <div class="stats">
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+ <span id="fps">FPS: 0</span>
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+ <span id="objects">Objects detected: 0</span>
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+ </div>
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+ </div>
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+ </div>
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+
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+ <script>
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+ let video = document.getElementById('video');
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+ let canvas = document.getElementById('canvas');
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+ let ctx = canvas.getContext('2d');
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+ let model;
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+ let lastTime = performance.now();
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+ let frameCount = 0;
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+
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+ // Initialize camera and AI model
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+ async function init() {
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+ // Load COCO-SSD model
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+ model = await cocoSsd.load();
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+ // Setup camera
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+ const constraints = {
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+ video: {
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+ width: 640,
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+ height: 480,
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+ facingMode: 'environment',
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+ advanced: [{
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+ exposureMode: 'manual',
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+ exposureCompensation: 2
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+ }]
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+ }
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+ };
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+ const stream = await navigator.mediaDevices.getUserMedia(constraints);
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+ video.srcObject = stream;
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+ // Set canvas size
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+ canvas.width = 640;
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+ canvas.height = 480;
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+ // Start detection loop
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+ requestAnimationFrame(detect);
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+ }
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+
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+ async function detect() {
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+ // Calculate FPS
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+ const now = performance.now();
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+ frameCount++;
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+ if (now - lastTime >= 1000) {
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+ document.getElementById('fps').textContent = `FPS: ${frameCount}`;
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+ frameCount = 0;
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+ lastTime = now;
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+ }
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+
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+ // Detect objects
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+ const predictions = await model.detect(video);
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+
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+ // Clear previous detections
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+ ctx.clearRect(0, 0, canvas.width, canvas.height);
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+
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+ // Draw new detections
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+ predictions.forEach(prediction => {
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+ // Draw bounding box
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+ ctx.strokeStyle = '#00ff00';
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+ ctx.lineWidth = 2;
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+ ctx.strokeRect(
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+ prediction.bbox[0],
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+ prediction.bbox[1],
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+ prediction.bbox[2],
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+ prediction.bbox[3]
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+ );
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+ // Draw label background
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+ ctx.fillStyle = '#00ff00';
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+ ctx.fillRect(
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+ prediction.bbox[0],
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+ prediction.bbox[1] - 20,
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+ prediction.bbox[2],
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+ 20
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+ );
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+ // Draw label text
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+ ctx.fillStyle = '#000000';
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+ ctx.font = '16px monospace';
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+ ctx.fillText(
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+ `${prediction.class} ${Math.round(prediction.score * 100)}%`,
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+ prediction.bbox[0] + 5,
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+ prediction.bbox[1] - 5
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+ );
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+ });
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+
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+ // Update detection info
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+ document.getElementById('objects').textContent =
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+ `Objects detected: ${predictions.length}`;
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+
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+ document.getElementById('detections').innerHTML =
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+ predictions.map(p =>
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+ `Detected ${p.class} (${Math.round(p.score * 100)}% confidence)`
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+ ).join('<br>');
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+
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+ requestAnimationFrame(detect);
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+ }
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+
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+ // Start application
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+ init().catch(err => {
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+ console.error('Error initializing camera:', err);
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+ });
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+ </script>
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+ </body>
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  </html>