def get_transform_2(train): transforms = [T.ToTensor()] if train: transforms = [ # transforms on PIL.Image T.TransformsCOCO('ColorJitter', brightness=0.4, contrast=.4, saturation=.4), T.RandomCropCOCOSimple(scale=(0.6, 1.3)), # to tensor T.ToTensor(), # transforms on Tensor T.RandomApplyCOCO([T.LightingCOCO(0.1)], 0.3), T.RandomHorizontalFlip(0.5) ] return T.Compose(transforms)
def get_transform(train): transforms = [T.ToTensor()] if train: transforms.append(T.RandomHorizontalFlip(0.5)) return T.Compose(transforms)