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) – 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.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")