mindspore.dataset.vision.py_transforms.CenterCrop

class mindspore.dataset.vision.py_transforms.CenterCrop(size)[source]

Crop the central reigion of the input PIL image to the given size.

Parameters: size (Union[int, sequence]) – The output size of the cropped image. If size is an integer, a square crop of size (size, size) is returned. If size is a sequence of length 2, it should be (height, width).

Examples

>>> from mindspore.dataset.transforms.py_transforms import Compose
>>> transforms_list = Compose([py_vision.Decode(),
...                            py_vision.CenterCrop(64),
...                            py_vision.ToTensor()])
>>> # apply the transform to dataset through map function
>>> image_folder_dataset = image_folder_dataset.map(operations=transforms_list,
...                                                 input_columns="image")