mindspore.dataset.vision.py_transforms.Resize

class mindspore.dataset.vision.py_transforms.Resize(size, interpolation=Inter.BILINEAR)[source]

Resize the input PIL Image to the given size.

Parameters

size (Union[int, Sequence[int, int]]) – The size of the resized image. If int is provided, resize the smaller edge of the image to this value, keeping the image aspect ratio the same. If Sequence[int, int] is provided, its two elements will be taken as the resized height and width.
interpolation (Inter, optional) –
Method of interpolation. It can be Inter.NEAREST, Inter.ANTIALIAS, Inter.BILINEAR or Inter.BICUBIC. Default: Inter.BILINEAR.
- Inter.NEAREST, nearest-neighbor interpolation.
- Inter.ANTIALIAS, antialias interpolation.
- Inter.BILINEAR, bilinear interpolation.
- Inter.BICUBIC, bicubic interpolation.

Raises

TypeError – If size is not of type int or Sequence[int, int].
TypeError – If interpolation is not of type mindspore.dataset.vision.Inter.
ValueError – If size is not positive.

Supported Platforms:: CPU

Examples

>>> from mindspore.dataset.transforms.py_transforms import Compose
>>>
>>> transforms_list = Compose([py_vision.Decode(),
...                            py_vision.Resize(256),
...                            py_vision.ToTensor()])
>>> # apply the transform to dataset through map function
>>> image_folder_dataset = image_folder_dataset.map(operations=transforms_list,
...                                                 input_columns="image")