Update app.py

app.py

@@ -155,7 +155,7 @@ def yolo_detect(image: Union[str, Path, int, Image.Image, list, tuple, np.ndarra
 
 def detect_reference_square(img: np.ndarray):
     t = time.time()
-    res = reference_detector_global.predict(img, conf=0.3)
+    res = reference_detector_global.predict(img, conf=0.15)
     if not res or len(res) == 0 or len(res[0].boxes) == 0:
         raise ReferenceBoxNotDetectedError("Reference Coin not detected in the image.")
     print("Reference coin detection completed in {:.2f} seconds".format(time.time() - t))
@@ -1178,7 +1178,7 @@ def predict(
     t = time.time()
     if drawer_detected:
         # For detected drawers: shrink and square
-        shrunked_img = make_square(shrink_bbox(drawer_img, 0.90))
+        shrunked_img = make_square(shrink_bbox(drawer_img, 0.95))
     else:
         # For non-drawer images: keep original dimensions
         shrunked_img = drawer_img  # Already in BGR format from above