mindspore.dataset.vision.ToPIL
- class mindspore.dataset.vision.ToPIL[source]
Convert the input decoded numpy.ndarray image to PIL Image.
Note
The conversion mode will be determined by the data type using
PIL.Image.fromarray
.- Raises
TypeError – If the input image is not of type
numpy.ndarray
orPIL.Image.Image
.
- Supported Platforms:
CPU
Examples
>>> from mindspore.dataset.transforms import Compose >>> >>> # data is already decoded, but not in PIL Image format >>> transforms_list = Compose([vision.ToPIL(), ... vision.RandomHorizontalFlip(0.5), ... 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 (numpy.ndarray) – Decoded numpy.ndarray image to be converted to PIL Image.
- Returns
PIL Image, converted PIL Image.