mindspore.dataset.vision.py_transforms.TenCrop

class mindspore.dataset.vision.py_transforms.TenCrop(size, use_vertical_flip=False)[source]

Generate 10 cropped images (first 5 images from FiveCrop, second 5 images from their flipped version as per input flag to flip vertically or horizontally).

Parameters

size (Union[int, sequence]) – The output size of the crop. 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).
use_vertical_flip (bool, optional) – Flip the image vertically instead of horizontally if set to True (default=False).

Examples

>>> 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")