Initial commit: Recycling object detection project
- Added Fast api web application for recycling object detection - Included YOLOv8 model training notebook - Set up project structure with datasets and training directories - Added requirements.txt for dependencies - Configured .gitignore for Python virtual environment and cache files
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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>Object Detection</title>
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<style>
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:root {
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--primary-color: #2563eb;
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--primary-hover: #1d4ed8;
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--background-color: #f8fafc;
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--text-color: #1e293b;
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--border-color: #e2e8f0;
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--shadow-color: rgba(0, 0, 0, 0.1);
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}
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body {
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font-family: 'Inter', -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
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max-width: 1200px;
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margin: 0 auto;
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padding: 40px 20px;
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background-color: var(--background-color);
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color: var(--text-color);
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line-height: 1.5;
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}
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.container {
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display: flex;
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flex-direction: column;
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align-items: center;
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gap: 40px;
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}
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h1 {
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font-size: 2.5rem;
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font-weight: 700;
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margin-bottom: 10px;
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background: linear-gradient(135deg, var(--primary-color), #4f46e5);
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-webkit-background-clip: text;
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-webkit-text-fill-color: transparent;
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}
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.upload-form {
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width: 100%;
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max-width: 500px;
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background: white;
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padding: 30px;
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border-radius: 12px;
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box-shadow: 0 4px 6px var(--shadow-color);
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}
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.upload-form form {
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display: flex;
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flex-direction: column;
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gap: 20px;
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}
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input[type="file"] {
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padding: 15px;
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border: 2px dashed var(--border-color);
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border-radius: 8px;
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cursor: pointer;
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transition: all 0.3s ease;
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}
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input[type="file"]:hover {
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border-color: var(--primary-color);
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background-color: rgba(37, 99, 235, 0.05);
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}
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.upload-btn {
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background-color: var(--primary-color);
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color: white;
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padding: 12px 24px;
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border: none;
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border-radius: 8px;
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cursor: pointer;
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font-weight: 600;
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font-size: 1rem;
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transition: all 0.3s ease;
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}
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.upload-btn:hover {
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background-color: var(--primary-hover);
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transform: translateY(-2px);
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box-shadow: 0 4px 6px var(--shadow-color);
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}
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.image-container {
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display: flex;
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justify-content: center;
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gap: 40px;
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width: 100%;
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margin-top: 20px;
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flex-wrap: wrap;
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}
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.image-box {
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background: white;
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padding: 20px;
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border-radius: 12px;
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box-shadow: 0 4px 6px var(--shadow-color);
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transition: all 0.3s ease;
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flex: 1;
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min-width: 300px;
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max-width: 500px;
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}
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.image-box:hover {
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transform: translateY(-5px);
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box-shadow: 0 8px 12px var(--shadow-color);
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}
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.image-box h3 {
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margin: 0 0 15px 0;
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color: var(--text-color);
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font-size: 1.25rem;
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}
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img {
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max-width: 100%;
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max-height: 400px;
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border-radius: 8px;
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object-fit: contain;
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}
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@media (max-width: 768px) {
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body {
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padding: 20px 10px;
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}
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.image-container {
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flex-direction: column;
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gap: 20px;
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}
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.image-box {
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width: 100%;
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}
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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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<h1>Object Detection</h1>
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<div class="upload-form">
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<form id="uploadForm" enctype="multipart/form-data">
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<input type="file" id="imageInput" accept="image/*" required>
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<button type="submit" class="upload-btn">Upload and Detect</button>
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</form>
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</div>
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<div class="image-container">
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<div class="image-box">
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<h3>Original Image</h3>
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<img id="originalImage" style="display: none;">
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</div>
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<div class="image-box">
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<h3>Detected Objects</h3>
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<img id="resultImage" style="display: none;">
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</div>
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</div>
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</div>
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<script>
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document.getElementById('uploadForm').addEventListener('submit', async (e) => {
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e.preventDefault();
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const fileInput = document.getElementById('imageInput');
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const file = fileInput.files[0];
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if (!file) return;
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// Display original image
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const originalImage = document.getElementById('originalImage');
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originalImage.src = URL.createObjectURL(file);
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originalImage.style.display = 'block';
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// Create form data
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const formData = new FormData();
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formData.append('file', file);
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try {
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const response = await fetch('/upload', {
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method: 'POST',
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body: formData
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});
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if (response.ok) {
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const result = await response.json();
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const resultImage = document.getElementById('resultImage');
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// Set the base64 image directly
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resultImage.src = `data:image/jpeg;base64,${result.image}`;
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resultImage.style.display = 'block';
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} else {
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alert('Error processing image');
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}
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} catch (error) {
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console.error('Error:', error);
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alert('Error processing image');
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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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