Update app.py

app.py

@@ -101,7 +101,7 @@ def exclude_scaling_box(
     bbox: np.ndarray,
     orig_size: tuple,
     processed_size: tuple,
-    expansion_factor: float = 1.5,
+    expansion_factor: float = 1.2,
 ) -> np.ndarray:
     # Unpack the bounding box
     x_min, y_min, x_max, y_max = map(int, bbox)
@@ -335,8 +335,8 @@ def predict(image, offset, coin_size_mm):
     Image.fromarray(dilated_mask).save("./outputs/scaled_mask_new.jpg")
     outlines, contours = extract_outlines(dilated_mask)
     shrunked_img_contours = cv2.drawContours(image, contours, -1, (0, 0, 255), thickness=2)
-    # dxf = save_dxf_spline(contours, scaling_factor, processed_size[0])
-    dxf = to_dxf(contours)
+    dxf = save_dxf_spline(contours, scaling_factor, processed_size[0])
+    # dxf = to_dxf(contours)
 
     return (
         shrunked_img_contours,