mindspore.dataset.vision.py_transforms.FiveCrop
- class mindspore.dataset.vision.py_transforms.FiveCrop(size)[source]
Crop the given image into one central crop and four corners.
- Parameters
size (Union[int, sequence]) – The output size of the cropped images. If size is an integer, a square of size (size, size) is returned. If size is a sequence of length 2, it should be in shape of (height, width).
- Raises
TypeError – If size is not of type integer or sequence of integer.
ValueError – If size is not positive.
- Supported Platforms:
CPU
Examples
>>> import numpy >>> from mindspore.dataset.transforms.py_transforms import Compose >>> transforms_list = Compose([py_vision.Decode(), ... py_vision.FiveCrop(size=200), ... # 4D stack of 5 images ... lambda *images: numpy.stack([py_vision.ToTensor()(image) for image in images])]) >>> # apply the transform to dataset through map function >>> image_folder_dataset = image_folder_dataset.map(operations=transforms_list, ... input_columns="image")