mindspore.dataset.vision.RandomHorizontalFlipWithBBox

class mindspore.dataset.vision.RandomHorizontalFlipWithBBox(prob=0.5)[source]

Flip the input image horizontally 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, 1] (default=0.5).

Raises

TypeError – If prob is not of type float.
ValueError – If prob is not in range [0, 1].
RuntimeError – If given tensor shape is not <H, W> or <H, W, C>.

Supported Platforms:: CPU

Examples

>>> transforms_list = [vision.Decode(), vision.RandomHorizontalFlipWithBBox(0.70)]
>>> image_folder_dataset = image_folder_dataset.map(operations=transforms_list,
...                                                 input_columns=["image"])