Set confidence threshold to 80% and remove slider from frontend

✅ Frontend Changes:
- Removed confidence threshold slider from web interface
- Added fixed 80% confidence display with green info box
- Updated JavaScript to use fixed 0.8 threshold
- Removed slider-related CSS styles

✅ Backend Changes:
- Updated all API endpoints to default to 80% confidence (0.8)
- Modified POST /detect, GET /detect/hardcoded, POST /detect/base64
- Updated comments to reflect new default threshold

✅ Testing Updates:
- Updated test_api.py to use 80% confidence for all tests
- Ensures consistent testing with new threshold

✅ Benefits:
- High precision mode (80% confidence) reduces false positives
- Simplified user interface without threshold adjustment
- Consistent detection behavior across all endpoints

main.py

@@ -149,8 +149,8 @@ def detect_memory_modules():
                 'success': False
             }), 400
         
-        # Get confidence threshold from form data
-        conf_threshold = float(request.form.get('confidence', 0.5))
+        # Get confidence threshold from form data (default 80%)
+        conf_threshold = float(request.form.get('confidence', 0.8))
         
         # Save uploaded file temporarily
         filename = secure_filename(file.filename)
@@ -219,8 +219,8 @@ def detect_hardcoded_image():
                 'success': False
             }), 404
         
-        # Get confidence threshold from query parameters
-        conf_threshold = float(request.args.get('confidence', 0.5))
+        # Get confidence threshold from query parameters (default 80%)
+        conf_threshold = float(request.args.get('confidence', 0.8))
         
         # Run detection
         detections, annotated_image = detector.detect(
@@ -283,8 +283,8 @@ def detect_base64_image():
                 'success': False
             }), 400
         
-        # Get confidence threshold
-        conf_threshold = float(data.get('confidence', 0.5))
+        # Get confidence threshold (default 80%)
+        conf_threshold = float(data.get('confidence', 0.8))
         
         # Decode base64 image
         try:

requirements.txt

@@ -8,6 +8,7 @@ Pillow==10.0.1
 # Web Framework
 Flask==2.3.3
 Flask-CORS==4.0.0
+Flask-RESTX==1.3.0
 Werkzeug==2.3.7
 
 # Data Processing

static/script.js

@@ -17,18 +17,13 @@ function initializeApp() {
 function setupEventListeners() {
     // File input change
     document.getElementById('fileInput').addEventListener('change', handleFileSelect);
-    
+
     // Drag and drop
     const uploadArea = document.getElementById('uploadArea');
     uploadArea.addEventListener('dragover', handleDragOver);
     uploadArea.addEventListener('dragleave', handleDragLeave);
     uploadArea.addEventListener('drop', handleDrop);
     uploadArea.addEventListener('click', () => document.getElementById('fileInput').click());
-    
-    // Confidence slider
-    document.getElementById('confidenceSlider').addEventListener('input', function() {
-        document.getElementById('confidenceValue').textContent = this.value;
-    });
 }
 
 async function checkApiStatus() {
@@ -143,23 +138,23 @@ async function processUploadedImage() {
         alert('Please select an image first');
         return;
     }
-    
-    const confidence = document.getElementById('confidenceSlider').value;
+
+    const confidence = 0.8; // Fixed 80% threshold
     showLoading('Processing uploaded image...');
-    
+
     try {
         const formData = new FormData();
         formData.append('image', uploadedFile);
         formData.append('confidence', confidence);
-        
+
         const response = await fetch(`${API_BASE_URL}/detect`, {
             method: 'POST',
             body: formData
         });
-        
+
         const result = await response.json();
         hideLoading();
-        
+
         if (result.success) {
             displayResults(result, 'Uploaded Image Detection');
         } else {
@@ -173,12 +168,12 @@ async function processUploadedImage() {
 
 async function testHardcodedImage() {
     showLoading('Testing hardcoded image...');
-    
+
     try {
-        const response = await fetch(`${API_BASE_URL}/detect/hardcoded?confidence=0.5`);
+        const response = await fetch(`${API_BASE_URL}/detect/hardcoded?confidence=0.8`);
         const result = await response.json();
         hideLoading();
-        
+
         if (result.success) {
             displayResults(result, 'Hardcoded Image Test');
         } else {

static/style.css

@@ -186,22 +186,18 @@ header p {
     border-radius: 8px;
 }
 
-.confidence-control {
+.confidence-info {
     margin-bottom: 15px;
+    padding: 10px;
+    background: #e8f5e8;
+    border-radius: 6px;
+    border-left: 4px solid #28a745;
 }
 
-.confidence-control label {
-    display: block;
-    margin-bottom: 8px;
-    font-weight: 500;
-}
-
-.confidence-control input[type="range"] {
-    width: 100%;
-    height: 6px;
-    border-radius: 3px;
-    background: #ddd;
-    outline: none;
+.confidence-info p {
+    margin: 0;
+    color: #155724;
+    font-size: 0.9rem;
 }
 
 .results-content {

templates/index.html

@@ -58,9 +58,8 @@
                 </div>
                 
                 <div class="upload-controls" style="display: none;" id="uploadControls">
-                    <div class="confidence-control">
-                        <label for="confidenceSlider">Confidence Threshold: <span id="confidenceValue">0.5</span></label>
-                        <input type="range" id="confidenceSlider" min="0.1" max="1.0" step="0.1" value="0.5">
+                    <div class="confidence-info">
+                        <p><strong>Confidence Threshold:</strong> 80% (High Precision Mode)</p>
                     </div>
                     <button class="btn btn-success" onclick="processUploadedImage()">
                         <i class="fas fa-search"></i> Detect Memory Modules

test_api.py

@@ -53,7 +53,7 @@ def test_hardcoded_detection():
     """Test detection with hardcoded image."""
     print("\n🖼️  Testing Hardcoded Image Detection...")
     try:
-        response = requests.get(f"{BASE_URL}/detect/hardcoded?confidence=0.5")
+        response = requests.get(f"{BASE_URL}/detect/hardcoded?confidence=0.8")
         if response.status_code == 200:
             data = response.json()
             if data['success']:
@@ -105,7 +105,7 @@ def test_file_upload():
     try:
         with open(test_image_path, 'rb') as f:
             files = {'image': f}
-            data = {'confidence': '0.5'}
+            data = {'confidence': '0.8'}
             response = requests.post(f"{BASE_URL}/detect", files=files, data=data)
         
         if response.status_code == 200:
@@ -165,7 +165,7 @@ def test_base64_detection():
         # Send request
         payload = {
             'image': base64_string,
-            'confidence': 0.5
+            'confidence': 0.8
         }
         
         response = requests.post(