Table Of Contents
Table Of Contents

DetRandomSelectAug

class mxnet.image.DetRandomSelectAug(aug_list, skip_prob=0)[source]

Randomly select one augmenter to apply, with chance to skip all.

Parameters:
  • aug_list (list of DetAugmenter) – The random selection will be applied to one of the augmenters
  • skip_prob (float) – The probability to skip all augmenters and return input directly
__init__(aug_list, skip_prob=0)[source]

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__(aug_list[, skip_prob]) Initialize self.
dumps() Override default.