[docstring] Fix docstring for DonutImageProcessor

src/transformers/models/donut/image_processing_donut.py

@@ -61,7 +61,7 @@ class DonutImageProcessor(BaseImageProcessor):
             Size of the image after resizing. The shortest edge of the image is resized to size["shortest_edge"], with
             the longest edge resized to keep the input aspect ratio. Can be overridden by `size` in the `preprocess`
             method.
-        resample (`PILImageResampling`, *optional*, defaults to `PILImageResampling.BILINEAR`):
+        resample (`PILImageResampling`, *optional*, defaults to `Resampling.BILINEAR`):
             Resampling filter to use if resizing the image. Can be overridden by `resample` in the `preprocess` method.
         do_thumbnail (`bool`, *optional*, defaults to `True`):
             Whether to resize the image using thumbnail method.
@@ -77,7 +77,7 @@ class DonutImageProcessor(BaseImageProcessor):
         rescale_factor (`int` or `float`, *optional*, defaults to `1/255`):
             Scale factor to use if rescaling the image. Can be overridden by `rescale_factor` in the `preprocess`
             method.
-        do_normalize:
+        do_normalize (`bool`, *optional*, defaults to `True`):
             Whether to normalize the image. Can be overridden by `do_normalize` in the `preprocess` method.
         image_mean (`float` or `List[float]`, *optional*, defaults to `IMAGENET_STANDARD_MEAN`):
             Mean to use if normalizing the image. This is a float or list of floats the length of the number of

utils/check_docstrings.py

@@ -174,7 +174,6 @@
     "DistilBertConfig",
     "DistilBertTokenizerFast",
     "DocumentQuestionAnsweringPipeline",
-    "DonutImageProcessor",
     "DonutSwinModel",
     "EarlyStoppingCallback",
     "EfficientFormerConfig",