bug fix

app.py

@@ -169,17 +169,21 @@ def detect_cards_and_sum(image, game):
             crop_margin_left = int(w / 7)
             crop_size = int(w / 3)
 
-            # Map cropped region back to original card coordinates
-            crop_tl = np.array([crop_margin_left, crop_margin_top])  # Remove the 1
-            crop_br = np.array([crop_margin_left + crop_size, crop_margin_top + crop_size])  # Remove the 1
+            # Define crop region points (without homogeneous coordinate)
+            crop_tl = np.array([crop_margin_left, crop_margin_top], dtype="float32")
+            crop_br = np.array([crop_margin_left + crop_size, crop_margin_top + crop_size], dtype="float32")
+
+            # Reshape for perspectiveTransform: (N, 1, 2)
+            crop_tl_reshaped = crop_tl.reshape(-1, 1, 2)
+            crop_br_reshaped = crop_br.reshape(-1, 1, 2)
 
             # Inverse perspective transform to get points in original image
             M_inv = cv2.getPerspectiveTransform(
                 np.array([[0, 0], [dst_w-1, 0], [dst_w-1, dst_h-1], [0, dst_h-1]], dtype="float32"),
                 order_points(box)
             )
-            crop_tl_orig = cv2.perspectiveTransform(crop_tl[np.newaxis, np.newaxis, :], M_inv)
-            crop_br_orig = cv2.perspectiveTransform(crop_br[np.newaxis, np.newaxis, :], M_inv)
+            crop_tl_orig = cv2.perspectiveTransform(crop_tl_reshaped, M_inv)
+            crop_br_orig = cv2.perspectiveTransform(crop_br_reshaped, M_inv)
 
             # Draw rectangle around cropped region in original image
             cv2.rectangle(
@@ -188,7 +192,6 @@ def detect_cards_and_sum(image, game):
                 tuple(crop_br_orig[0][0].astype(int)),
                 (255, 0, 0), 2
             )
-
             # --- Draw value near the card ---
             moments = cv2.moments(box)
             if moments["m00"] != 0: