mindspore.dataset.vision.py_transforms.TenCrop
- class mindspore.dataset.vision.py_transforms.TenCrop(size, use_vertical_flip=False)[source]
Crop the given image into one central crop and four corners with the flipped version of these.
- Parameters
size (Union[int, Sequence[int, int]]) – The size of the cropped image. If int is provided, a square of size (size, size) will be cropped with this value. If Sequence[int, int] is provided, its two elements will be taken as the cropped height and width.
use_vertical_flip (bool, optional) – If True, flip the images vertically. Otherwise, flip them horizontally. Default: False.
- Raises
TypeError – If size is not of type int or Sequence[int, int].
TypeError – If use_vertical_flip is not of type bool.
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.TenCrop(size=200), ... # 4D stack of 10 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")