dis-background-removal

Runtime error

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soiz1 commited on 13 days ago

Commit

5edd87d

verified ·

1 Parent(s): 0c3285b

Update templates/index.html

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templates/index.html +128 -39

templates/index.html CHANGED Viewed

@@ -3,11 +3,11 @@
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <title>DIS Image Background Removal</title>
     <style>
         body {
             font-family: Arial, sans-serif;
-            max-width: 900px;
             margin: 0 auto;
             padding: 20px;
             line-height: 1.6;
@@ -23,35 +23,41 @@
         }
         .upload-section {
             border: 2px dashed #ccc;
-            padding: 20px;
             text-align: center;
-            border-radius: 5px;
         }
         .results {
-            display: flex;
-            flex-wrap: wrap;
             gap: 20px;
-            justify-content: center;
         }
-        .result-item {
-            display: flex;
-            flex-direction: column;
-            align-items: center;
         }
-        .result-item img {
-            max-width: 300px;
             max-height: 300px;
-            border: 1px solid #ddd;
             margin-bottom: 10px;
         }
         button {
             background-color: #4CAF50;
             color: white;
-            padding: 10px 15px;
             border: none;
             border-radius: 4px;
             cursor: pointer;
             font-size: 16px;
         }
         button:hover {
             background-color: #45a049;
@@ -60,43 +66,98 @@
             display: none;
             text-align: center;
             margin: 20px 0;
         }
         .info {
             background-color: #f8f9fa;
-            padding: 15px;
-            border-radius: 5px;
-            margin-top: 20px;
         }
-        .error {
-            color: red;
-            margin: 10px 0;
         }
     </style>
 </head>
 <body>
-    <h1>Highly Accurate Dichotomous Image Segmentation</h1>
     <div class="container">
         <div class="upload-section">
             <h2>Upload Image</h2>
-            <input type="file" id="imageInput" accept="image/*">
             <button onclick="processImage()">Remove Background</button>
-            <div id="loading">Processing... Please wait...</div>
             <div id="error" class="error"></div>
         </div>
-        <div class="results" id="results">
-            <!-- Results will be displayed here -->
         </div>
         <div class="info">
             <h3>About this service</h3>
-            <p>This is an implementation of DIS, a model that can remove the background from a given image.</p>
             <p>GitHub: <a href="https://github.com/xuebinqin/DIS" target="_blank">https://github.com/xuebinqin/DIS</a></p>
         </div>
     </div>
     <script>
         function processImage() {
             const fileInput = document.getElementById('imageInput');
             const file = fileInput.files[0];
@@ -109,12 +170,14 @@
             }
             const loading = document.getElementById('loading');
             loading.style.display = 'block';
             const formData = new FormData();
             formData.append('image', file);
-            fetch('/api/remove_bg', {
                 method: 'POST',
                 body: formData
             })
@@ -134,21 +197,24 @@
                 const resultsDiv = document.getElementById('results');
                 resultsDiv.innerHTML = `
-                    <div class="result-item">
                         <h3>Original Image</h3>
-                        <img src="/uploads/${data.original_filename}" alt="Original Image">
                     </div>
-                    <div class="result-item">
                         <h3>Background Removed</h3>
-                        <img src="${data.rgba_image}" alt="Background Removed">
-                        <a href="${data.rgba_image}" download="bg_removed_${data.original_filename}">Download</a>
                     </div>
-                    <div class="result-item">
-                        <h3>Mask</h3>
-                        <img src="${data.mask_image}" alt="Mask">
-                        <a href="${data.mask_image}" download="mask_${data.original_filename}">Download</a>
                     </div>
                 `;
             })
             .catch(error => {
                 loading.style.display = 'none';
@@ -156,6 +222,29 @@
                 errorDiv.textContent = error.error || 'An error occurred while processing the image';
             });
         }
     </script>
 </body>
 </html>

 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Highly Accurate Dichotomous Image Segmentation</title>
     <style>
         body {
             font-family: Arial, sans-serif;
+            max-width: 1000px;
             margin: 0 auto;
             padding: 20px;
             line-height: 1.6;
         }
         .upload-section {
             border: 2px dashed #ccc;
+            padding: 30px;
             text-align: center;
+            border-radius: 8px;
+            background: #f9f9f9;
         }
         .results {
+            display: grid;
+            grid-template-columns: repeat(3, 1fr);
             gap: 20px;
+            margin-top: 30px;
         }
+        .result-box {
+            border: 1px solid #ddd;
+            padding: 15px;
+            border-radius: 5px;
+            text-align: center;
         }
+        .result-box h3 {
+            margin-top: 0;
+        }
+        .result-img {
+            max-width: 100%;
+            height: auto;
             max-height: 300px;
             margin-bottom: 10px;
         }
         button {
             background-color: #4CAF50;
             color: white;
+            padding: 12px 20px;
             border: none;
             border-radius: 4px;
             cursor: pointer;
             font-size: 16px;
+            transition: background-color 0.3s;
         }
         button:hover {
             background-color: #45a049;
             display: none;
             text-align: center;
             margin: 20px 0;
+            font-size: 18px;
+        }
+        .error {
+            color: #d32f2f;
+            margin: 10px 0;
+            text-align: center;
+        }
+        .download-btn {
+            display: inline-block;
+            background: #2196F3;
+            color: white;
+            padding: 8px 15px;
+            text-decoration: none;
+            border-radius: 4px;
+            margin-top: 5px;
+        }
+        .download-btn:hover {
+            background: #0b7dda;
         }
         .info {
             background-color: #f8f9fa;
+            padding: 20px;
+            border-radius: 8px;
+            margin-top: 30px;
         }
+        .example-images {
+            display: flex;
+            gap: 15px;
+            margin: 20px 0;
+            justify-content: center;
+        }
+        .example-img {
+            width: 150px;
+            height: 150px;
+            object-fit: cover;
+            cursor: pointer;
+            border: 2px solid transparent;
+            border-radius: 4px;
+        }
+        .example-img:hover {
+            border-color: #4CAF50;
         }
     </style>
 </head>
 <body>
     <div class="container">
+        <h1>Highly Accurate Dichotomous Image Segmentation</h1>
         <div class="upload-section">
             <h2>Upload Image</h2>
+            <input type="file" id="imageInput" accept="image/*" style="display: none;">
+            <button onclick="document.getElementById('imageInput').click()">Select Image</button>
+            <p id="fileName" style="margin: 10px 0;"></p>
             <button onclick="processImage()">Remove Background</button>
+            <div id="loading">Processing your image... Please wait...</div>
             <div id="error" class="error"></div>
+            <div class="example-images">
+                <img src="/examples/robot.png" class="example-img" onclick="loadExample('robot.png')" alt="Robot Example">
+                <img src="/examples/ship.png" class="example-img" onclick="loadExample('ship.png')" alt="Ship Example">
+            </div>
         </div>
+        <div id="resultsContainer" style="display: none;">
+            <h2 style="text-align: center;">Results</h2>
+            <div class="results" id="results">
+                <!-- Results will be inserted here -->
+            </div>
         </div>
         <div class="info">
             <h3>About this service</h3>
+            <p>This is an implementation of DIS, a model that can remove the background from a given image with high accuracy.</p>
             <p>GitHub: <a href="https://github.com/xuebinqin/DIS" target="_blank">https://github.com/xuebinqin/DIS</a></p>
+            <p>Telegram bot: <a href="https://t.me/restoration_photo_bot" target="_blank">https://t.me/restoration_photo_bot</a></p>
+            <div style="text-align: center; margin-top: 15px;">
+                <img src="https://visitor-badge.glitch.me/badge?page_id=dis_image_segmentation" alt="visitor badge">
+            </div>
         </div>
     </div>
     <script>
+        // Update file name display
+        document.getElementById('imageInput').addEventListener('change', function(e) {
+            const fileName = e.target.files[0] ? e.target.files[0].name : 'No file selected';
+            document.getElementById('fileName').textContent = `Selected: ${fileName}`;
+            document.getElementById('error').textContent = '';
+            document.getElementById('resultsContainer').style.display = 'none';
+        });
+        // Process image
         function processImage() {
             const fileInput = document.getElementById('imageInput');
             const file = fileInput.files[0];
             }
             const loading = document.getElementById('loading');
+            const resultsContainer = document.getElementById('resultsContainer');
             loading.style.display = 'block';
+            resultsContainer.style.display = 'none';
             const formData = new FormData();
             formData.append('image', file);
+            fetch('/api/process', {
                 method: 'POST',
                 body: formData
             })
                 const resultsDiv = document.getElementById('results');
                 resultsDiv.innerHTML = `
+                    <div class="result-box">
                         <h3>Original Image</h3>
+                        <img src="${data.original}" class="result-img" alt="Original Image">
+                        <a href="${data.original}" class="download-btn" download="${data.filename}">Download</a>
                     </div>
+                    <div class="result-box">
                         <h3>Background Removed</h3>
+                        <img src="${data.rgba}" class="result-img" alt="Background Removed">
+                        <a href="${data.rgba}" class="download-btn" download="no_bg_${data.filename}">Download</a>
                     </div>
+                    <div class="result-box">
+                        <h3>Segmentation Mask</h3>
+                        <img src="${data.mask}" class="result-img" alt="Segmentation Mask">
+                        <a href="${data.mask}" class="download-btn" download="mask_${data.filename}">Download</a>
                     </div>
                 `;
+                resultsContainer.style.display = 'block';
             })
             .catch(error => {
                 loading.style.display = 'none';
                 errorDiv.textContent = error.error || 'An error occurred while processing the image';
             });
         }
+        // Load example image
+        function loadExample(filename) {
+            fetch(`/examples/${filename}`)
+                .then(response => response.blob())
+                .then(blob => {
+                    const file = new File([blob], filename, { type: blob.type });
+                    const dataTransfer = new DataTransfer();
+                    dataTransfer.items.add(file);
+                    document.getElementById('imageInput').files = dataTransfer.files;
+                    // Trigger file name display
+                    const event = new Event('change');
+                    document.getElementById('imageInput').dispatchEvent(event);
+                    // Process the example immediately
+                    processImage();
+                })
+                .catch(error => {
+                    console.error('Error loading example:', error);
+                    document.getElementById('error').textContent = 'Failed to load example image';
+                });
+        }
     </script>
 </body>
 </html>