classification_boxes and segmentation update

app.py

@@ -148,8 +148,13 @@ def extract_and_paste_insect(original_image: np.ndarray, detection: DetectionRes
     x_offset, y_offset = xmin, ymin
     x_end, y_end = x_offset + insect.shape[1], y_offset + insect.shape[0]
 
-    # Place the insect onto the yellow background
-    background[y_offset:y_end, x_offset:x_end] = insect
+    # Ensure the background area under the bounding box is yellow
+    yellow_area = np.full_like(insect_crop, (0, 255, 255), dtype=np.uint8)
+    background[y_offset:y_end, x_offset:x_end] = yellow_area
+
+    # Combine the insect with the yellow background
+    combined = cv2.add(background[y_offset:y_end, x_offset:x_end], insect)
+    background[y_offset:y_end, x_offset:x_end] = combined
 
 def create_yellow_background_with_insects(image: np.ndarray, detections: List[DetectionResult]) -> np.ndarray:
     yellow_background = np.full((image.shape[0], image.shape[1], 3), (0, 255, 255), dtype=np.uint8)