mindspore.dataset.vision.RandomSelectSubpolicy
- class mindspore.dataset.vision.RandomSelectSubpolicy(policy)[source]
Choose a random sub-policy from a policy list to be applied on the input image.
- Parameters
policy (list[list[tuple[TensorOperation, float]]]) – List of sub-policies to choose from. A sub-policy is a list of tuple[operation, prob], where operation is a data processing operation and prob is the probability that this operation will be applied, and the prob values must be in range [0, 1]. Once a sub-policy is selected, each operation within the sub-policy with be applied in sequence according to its probability.
- Raises
TypeError – If policy contains invalid data processing operations.
- Supported Platforms:
CPU
Examples
>>> policy = [[(vision.RandomRotation((45, 45)), 0.5), ... (vision.RandomVerticalFlip(), 1), ... (vision.RandomColorAdjust(), 0.8)], ... [(vision.RandomRotation((90, 90)), 1), ... (vision.RandomColorAdjust(), 0.2)]] >>> image_folder_dataset = image_folder_dataset.map(operations=vision.RandomSelectSubpolicy(policy), ... input_columns=["image"])