mindspore.dataset.vision.c_transforms.RandomHorizontalFlipWithBBox

class mindspore.dataset.vision.c_transforms.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 (default=0.5).

Examples

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