mindspore.dataset.vision.py_transforms.RandomResizedCrop
- class mindspore.dataset.vision.py_transforms.RandomResizedCrop(size, scale=(0.08, 1.0), ratio=(0.75, 1.3333333333333333), interpolation=Inter.BILINEAR, max_attempts=10)[source]
Extract crop from the input image and resize it to a random size and aspect ratio.
- Parameters
size (Union[int, sequence]) – The size of the output 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).
scale (tuple, optional) – Range (min, max) of respective size of the original size to be cropped (default=(0.08, 1.0)).
ratio (tuple, optional) – Range (min, max) of aspect ratio to be cropped (default=(3. / 4., 4. / 3.)).
interpolation (Inter mode, optional) –
Image interpolation mode (default=Inter.BILINEAR). It can be any of [Inter.NEAREST, Inter.ANTIALIAS, Inter.BILINEAR, Inter.BICUBIC].
Inter.NEAREST, means the interpolation method is nearest-neighbor interpolation.
Inter.ANTIALIAS, means the interpolation method is antialias interpolation.
Inter.BILINEAR, means the interpolation method is bilinear interpolation.
Inter.BICUBIC, means the interpolation method is bicubic interpolation.
max_attempts (int, optional) – The maximum number of attempts to propose a valid crop area (default=10). If exceeded, fall back to use center crop instead.
Examples
>>> import mindspore.dataset.vision.py_transforms as py_vision >>> from mindspore.dataset.transforms.py_transforms import Compose >>> >>> Compose([py_vision.Decode(), >>> py_vision.RandomResizedCrop(224), >>> py_vision.ToTensor()])