[docstring] Fix docstring for DonutImageProcessor (#26641)
* removed donutimageprocessor from objects_to_ignore * added docstring for donutimageprocessor * readding donut file * moved docstring to correct location
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@@ -61,7 +61,7 @@ class DonutImageProcessor(BaseImageProcessor):
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Size of the image after resizing. The shortest edge of the image is resized to size["shortest_edge"], with
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the longest edge resized to keep the input aspect ratio. Can be overridden by `size` in the `preprocess`
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method.
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resample (`PILImageResampling`, *optional*, defaults to `PILImageResampling.BILINEAR`):
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resample (`PILImageResampling`, *optional*, defaults to `Resampling.BILINEAR`):
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Resampling filter to use if resizing the image. Can be overridden by `resample` in the `preprocess` method.
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do_thumbnail (`bool`, *optional*, defaults to `True`):
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Whether to resize the image using thumbnail method.
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@@ -77,7 +77,7 @@ class DonutImageProcessor(BaseImageProcessor):
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rescale_factor (`int` or `float`, *optional*, defaults to `1/255`):
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Scale factor to use if rescaling the image. Can be overridden by `rescale_factor` in the `preprocess`
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method.
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do_normalize:
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do_normalize (`bool`, *optional*, defaults to `True`):
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Whether to normalize the image. Can be overridden by `do_normalize` in the `preprocess` method.
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image_mean (`float` or `List[float]`, *optional*, defaults to `IMAGENET_STANDARD_MEAN`):
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Mean to use if normalizing the image. This is a float or list of floats the length of the number of
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@@ -174,7 +174,6 @@ OBJECTS_TO_IGNORE = [
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"DistilBertConfig",
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"DistilBertTokenizerFast",
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"DocumentQuestionAnsweringPipeline",
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"DonutImageProcessor",
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"DonutSwinModel",
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"EarlyStoppingCallback",
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"EfficientFormerConfig",
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