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")