mindspore.dataset.vision.py_transforms.RandomPerspective

class mindspore.dataset.vision.py_transforms.RandomPerspective(distortion_scale=0.5, prob=0.5, interpolation=Inter.BICUBIC)[source]

Randomly apply perspective transformation to the input PIL Image with a given probability.

Parameters

  • distortion_scale (float, optional) – The scale of distortion, in range of [0, 1] (default=0.5).

  • prob (float, optional) – Probability of the image being applied perspective transformation (default=0.5).

  • interpolation (Inter, optional) –

    Image interpolation mode (default=Inter.BICUBIC). It can be any of [Inter.BILINEAR, Inter.NEAREST, Inter.BICUBIC].

    • Inter.BILINEAR, bilinear interpolation.

    • Inter.NEAREST, nearest-neighbor interpolation.

    • Inter.BICUBIC, bicubic interpolation.

Raises

  • TypeError – If distortion_scale is not of type float.

  • TypeError – If prob is not of type float.

  • TypeError – If interpolation is not of type Inter.

  • ValueError – If distortion_scale is not in range [0, 1].

  • ValueError – If prob is not in range [0, 1].

Supported Platforms:

CPU

Examples

>>> from mindspore.dataset.transforms.py_transforms import Compose
>>> transforms_list = Compose([py_vision.Decode(),
...                            py_vision.RandomPerspective(prob=0.1),
...                            py_vision.ToTensor()])
>>> # apply the transform to dataset through map function
>>> image_folder_dataset = image_folder_dataset.map(operations=transforms_list,
...                                                 input_columns="image")