데이터 취업 스쿨 스터디 노트 -(91) pytorch - Transforms

Transforms 이해하기

Transform on Tensor

transforms.Resize([512, 512])(image)

transforms.RandomCrop(size=(256, 256))(image)

transforms.ColorJitter(brightness=1)(image)

transforms.Grayscale()(image)

transforms.Pad(padding=(20, 10))(image)

transforms.RandomAffine(degrees=90)(image)

transform_list = [
    transforms.RandomAffine(degrees=90),
    transforms.Pad(padding=(20, 10))
]

transforms.RandomApply(transform_list, p=0.5)(image)

transforms.RandomChoice(transform_list)(image)

transforms.RandomHorizontalFlip(p=0.8)(image)

참고)