Upload processor

image_processing_spice_cnn.py

@@ -11,7 +11,6 @@ from transformers.image_transforms import (
     normalize,
     rescale,
     resize,
-    pad,
     to_channel_dimension_format,
 )
 from transformers.image_utils import (
@@ -68,7 +67,6 @@ class SpiceCNNImageProcessor(BaseImageProcessor):
         do_normalize: bool = True,
         image_mean: Optional[Union[float, List[float]]] = None,
         image_std: Optional[Union[float, List[float]]] = None,
-        padding: bool = False,
         **kwargs,
     ) -> None:
         super().__init__(**kwargs)
@@ -84,7 +82,6 @@ class SpiceCNNImageProcessor(BaseImageProcessor):
             image_mean if image_mean is not None else IMAGENET_STANDARD_MEAN
         )
         self.image_std = image_std if image_std is not None else IMAGENET_STANDARD_STD
-        self.padding = padding
 
     def resize(
         self,

preprocessor_config.json

@@ -8,7 +8,6 @@
   "image_mean": 0.5,
   "image_processor_type": "SpiceCNNImageProcessor",
   "image_std": 0.5,
-  "padding": false,
   "resample": 2,
   "rescale_factor": 0.00392156862745098,
   "size": {