mindspore.dataset.vision.RandomPerspective

class mindspore.dataset.vision.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) – Scale of distortion, in range of [0, 1]. Default: 0.5.
prob (float, optional) – Probability of performing perspective transformation. Default: 0.5.
interpolation (Inter, optional) –
Method of interpolation. It can be Inter.BILINEAR, Inter.NEAREST or Inter.BICUBIC. Default: 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 mindspore.dataset.vision.Inter.
ValueError – If distortion_scale is not in range of [0, 1].
ValueError – If prob is not in range of [0, 1].

Supported Platforms:: CPU

Examples

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

execute_py(img)[source]

Execute method.

Parameters: img (PIL Image) – Image to be applied randomly perspective transformation.
Returns: PIL Image, image applied randomly perspective transformation.