Add piping to pass arguments to load_data methods.

#75

mirp/_data_import/generic_file.py

@@ -753,7 +753,7 @@ def update_image_data(self):
 
     def to_object(self, **kwargs) -> GenericImage:
 
-        self.load_data()
+        self.load_data(**kwargs)
         self.complete()
         self.stack_slices()
         self.update_image_data()

mirp/_data_import/read_data.py

@@ -8,9 +8,10 @@
 
 def read_image(
         image: ImageFile,
-        to_numpy=False
+        to_numpy=False,
+        **kwargs
 ) -> np.ndarray | GenericImage:
-    image = image.to_object().promote()
+    image = image.to_object(**kwargs).promote()
 
     if to_numpy:
         image = image.get_voxel_grid()
@@ -20,22 +21,23 @@ def read_image(
 
 def read_image_and_masks(
         image: ImageFile,
-        to_numpy=False
+        to_numpy=False,
+        **kwargs
 ) -> tuple[np.ndarray | GenericImage, list[np.ndarray] | list[BaseMask]]:
     mask_list = []
     if image.associated_masks is not None:
         mask_list = image.associated_masks
 
     # Read masks from file.
     if mask_list is not None:
-        mask_list = [mask.to_object(image=image) for mask in mask_list]
+        mask_list = [mask.to_object(image=image, **kwargs) for mask in mask_list]
         mask_list = flatten_list(mask_list)
 
     # Remove None entries.
     mask_list = [mask for mask in mask_list if mask is not None]
 
     # Read image from file.
-    image = image.to_object().promote()
+    image = image.to_object(**kwargs).promote()
 
     if to_numpy:
         image = image.get_voxel_grid()

mirp/_workflows/standardWorkflow.py

@@ -84,7 +84,10 @@ def standard_image_processing(self) -> tuple[GenericImage, list[BaseMask]]:
         logging.info(self._message_start())
 
         # Read image and masks.
-        image, masks = read_image_and_masks(self.image_file, to_numpy=False)
+        image, masks = read_image_and_masks(
+            self.image_file,
+            to_numpy=False
+        )
 
         if masks is None or len(masks) == 0:
             warnings.warn("No segmentation masks were read.")