Testing with uint conversion

src/utils/image.py

@@ -121,7 +121,7 @@ class Image:
             if self.path.suffix.lower() in [".tif", ".tiff"]:
                 self._data = imread(str(self.path))
             else:
-                raise NotImplementedError
+                raise NotImplementedError("RGB is not implemented")
                 # Load with OpenCV (returns BGR format)
                 self._data = cv2.imread(str(self.path), cv2.IMREAD_UNCHANGED)
 
@@ -129,7 +129,7 @@ class Image:
                 raise ImageLoadError(f"Failed to load image with OpenCV: {self.path}")
 
             # Extract metadata
-            print(self._data.shape)
+            # print(self._data.shape)
             if len(self._data.shape) == 2:
                 self._height, self._width = self._data.shape[:2]
                 self._channels = 1

src/utils/ultralytics_16bit_patch.py

@@ -54,7 +54,8 @@ def apply_ultralytics_16bit_tiff_patches(*, force: bool = False) -> None:
         - For other formats, falls back to Ultralytics' original implementation.
         - Always returns HWC (3 dims). For grayscale, returns (H, W, 1) or (H, W, 3) depending on requested flags.
         """
-
+        # print("here")
+        # return _original_imread(filename, flags)
         ext = os.path.splitext(filename)[1].lower()
         if ext in (".tif", ".tiff"):
             arr = Image(filename).get_qt_rgb()[:, :, :3]
@@ -75,6 +76,7 @@ def apply_ultralytics_16bit_tiff_patches(*, force: bool = False) -> None:
 
             # Ensure contiguous array for downstream OpenCV ops.
             # logger.info(f"Loading with monkey-patched imread: {filename}")
+            arr *= (2**16 - 1).astype(np.uint16)
             return np.ascontiguousarray(arr)
 
         # logger.info(f"Loading with original imread: {filename}")