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: