RandomCrop¶
- class RandomCrop(output_size, padding_size=0, padding_value=[0, 0, 0], padding_maskvalue=0, *, order=None)[source]¶
Crop the input data randomly. Before applying the crop transform, pad the image first. If target size is still bigger than the size of padded image, pad the image size to target size.
- Parameters
output_size – target size of output image, with (height, width) shape.
padding_size – the same with size in
Pad.padding_value – the same with value in
Pad.order – the same with
VisionTransform.