Lower confidence threshold to 0.25 and add debug logging for traffic sign detection

Amp-Thread-ID: https://ampcode.com/threads/T-e84964c4-a177-48da-a362-022c1ebc3a1f
Co-authored-by: Amp <amp@ampcode.com>

config.yaml

@@ -1,6 +1,6 @@
 model:
   path: 'VietCat/GTSRB-Model/models/GTSRB.pt' # Path to the YOLO model on Hugging Face Hub (will be downloaded automatically)
-  confidence_threshold: 0.5 # Minimum confidence for detections
+  confidence_threshold: 0.25 # Minimum confidence for detections
 
 inference:
   box_color: (128, 0, 128) # Purple color for bounding boxes (BGR format)

test_model.py

@@ -0,0 +1,22 @@
+import cv2
+import numpy as np
+from model import TrafficSignDetector
+
+# Load detector
+detector = TrafficSignDetector('config.yaml')
+
+# Test with a sample image (you can replace with your image path)
+# For now, create a dummy image or load from file
+# Assuming you have an image file, e.g., 'sample.jpg'
+image_path = 'sample.jpg'  # Replace with actual path
+image = cv2.imread(image_path)
+if image is None:
+    print("Image not found. Creating a dummy image.")
+    image = np.zeros((456, 427, 3), dtype=np.uint8)
+
+print(f"Test image shape: {image.shape}")
+
+# Perform detection
+result = detector.detect(image.copy())  # Copy to avoid modifying original
+
+print("Detection completed.")