mindspore.dataset.vision.RandomVerticalFlipWithBBox
- class mindspore.dataset.vision.RandomVerticalFlipWithBBox(prob=0.5)[source]
Flip the input image vertically, randomly with a given probability and adjust bounding boxes accordingly.
- Parameters
prob (float, optional) – Probability of the image being flipped, which must be in range of [0.0, 1.0]. Default:
0.5
.- Raises
TypeError – If prob is not of type float.
ValueError – If prob is not in range [0.0, 1.0].
RuntimeError – If given tensor shape is not <H, W> or <H, W, C>.
- Supported Platforms:
CPU
Examples
>>> import mindspore.dataset as ds >>> import mindspore.dataset.vision as vision >>> >>> image_folder_dataset = ds.ImageFolderDataset("/path/to/image_folder_dataset_directory") >>> transforms_list = [vision.Decode(), vision.RandomVerticalFlipWithBBox(0.20)] >>> image_folder_dataset = image_folder_dataset.map(operations=transforms_list, ... input_columns=["image"])
- Tutorial Examples: