KyanChen's picture
init
f549064
raw
history blame
2.87 kB
# Policy for ImageNet, refers to
# https://github.com/DeepVoltaire/AutoAugment/blame/master/autoaugment.py
policy_imagenet = [
[
dict(type='Posterize', bits=4, prob=0.4),
dict(type='Rotate', angle=30., prob=0.6)
],
[
dict(type='Solarize', thr=256 / 9 * 4, prob=0.6),
dict(type='AutoContrast', prob=0.6)
],
[dict(type='Equalize', prob=0.8),
dict(type='Equalize', prob=0.6)],
[
dict(type='Posterize', bits=5, prob=0.6),
dict(type='Posterize', bits=5, prob=0.6)
],
[
dict(type='Equalize', prob=0.4),
dict(type='Solarize', thr=256 / 9 * 5, prob=0.2)
],
[
dict(type='Equalize', prob=0.4),
dict(type='Rotate', angle=30 / 9 * 8, prob=0.8)
],
[
dict(type='Solarize', thr=256 / 9 * 6, prob=0.6),
dict(type='Equalize', prob=0.6)
],
[dict(type='Posterize', bits=6, prob=0.8),
dict(type='Equalize', prob=1.)],
[
dict(type='Rotate', angle=10., prob=0.2),
dict(type='Solarize', thr=256 / 9, prob=0.6)
],
[
dict(type='Equalize', prob=0.6),
dict(type='Posterize', bits=5, prob=0.4)
],
[
dict(type='Rotate', angle=30 / 9 * 8, prob=0.8),
dict(type='ColorTransform', magnitude=0., prob=0.4)
],
[
dict(type='Rotate', angle=30., prob=0.4),
dict(type='Equalize', prob=0.6)
],
[dict(type='Equalize', prob=0.0),
dict(type='Equalize', prob=0.8)],
[dict(type='Invert', prob=0.6),
dict(type='Equalize', prob=1.)],
[
dict(type='ColorTransform', magnitude=0.4, prob=0.6),
dict(type='Contrast', magnitude=0.8, prob=1.)
],
[
dict(type='Rotate', angle=30 / 9 * 8, prob=0.8),
dict(type='ColorTransform', magnitude=0.2, prob=1.)
],
[
dict(type='ColorTransform', magnitude=0.8, prob=0.8),
dict(type='Solarize', thr=256 / 9 * 2, prob=0.8)
],
[
dict(type='Sharpness', magnitude=0.7, prob=0.4),
dict(type='Invert', prob=0.6)
],
[
dict(
type='Shear',
magnitude=0.3 / 9 * 5,
prob=0.6,
direction='horizontal'),
dict(type='Equalize', prob=1.)
],
[
dict(type='ColorTransform', magnitude=0., prob=0.4),
dict(type='Equalize', prob=0.6)
],
[
dict(type='Equalize', prob=0.4),
dict(type='Solarize', thr=256 / 9 * 5, prob=0.2)
],
[
dict(type='Solarize', thr=256 / 9 * 4, prob=0.6),
dict(type='AutoContrast', prob=0.6)
],
[dict(type='Invert', prob=0.6),
dict(type='Equalize', prob=1.)],
[
dict(type='ColorTransform', magnitude=0.4, prob=0.6),
dict(type='Contrast', magnitude=0.8, prob=1.)
],
[dict(type='Equalize', prob=0.8),
dict(type='Equalize', prob=0.6)],
]