mmclassification/mmcls/models/utils/augment/__init__.py

from .augments import Augments
from .cutmix import BatchCutMixLayer
from .identity import Identity
from .mixup import BatchMixupLayer

__all__ = ['Augments', 'BatchCutMixLayer', 'Identity', 'BatchMixupLayer']
[Feature]Add augments to models/utils (#278) * add mytrain.py for test * test before layers * test attr in layers * test classifier * delete mytrain.py * add rand_bbox_minmax rand_bbox and cutmix_bbox_and_lam to BaseCutMixLayer * add mixup_prob to BatchMixupLayer * add cutmixup * add cutmixup to __init__ * test classifier with cutmixup * delete some comments * set mixup_prob default to 1.0 * add cutmixup to classifier * use cutmixup * use cutmixup * fix bugs * test cutmixup * move mixup and cutmix to augment * inherit from BaseAugment * add BaseAugment * inherit from BaseAugment * rename identity.py * add @ * build augment * register module * rename to augment.py * delete cutmixup.py * do not inherit from BaseAugment * add augments * use augments in classifier * prob default to 1.0 * add comments * use augments * use augments * assert sum of augmentation probabilities should equal to 1 * augmentation probabilities equal to 1 * calculate Identity prob * replace xxx with self.xxx * add comments * sync with augments * for BC-breaking * delete useless comments in mixup.py 2021-06-20 09:44:51 +08:00			`from .augments import Augments`
			`from .cutmix import BatchCutMixLayer`
			`from .identity import Identity`
			`from .mixup import BatchMixupLayer`

			`__all__ = ['Augments', 'BatchCutMixLayer', 'Identity', 'BatchMixupLayer']`