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"])