def transform_val(self, sample):
composed_transforms = transforms.Compose([
tr.FixScale(crop_size=self.args.crop_size),
tr.Normalize(mean=(0.485, 0.456, 0.406),
std=(0.229, 0.224, 0.225)),
tr.ToTensor(),
])
return composed_transforms(sample)
def transform_weak(self, sample):
composed_transforms = transforms.Compose([
tr.Normalize(mean=(0.485, 0.456, 0.406),
std=(0.229, 0.224, 0.225)),
tr.ToTensor(),
])
return composed_transforms(sample)
def transform_s(self, sample):
composed_transforms = transforms.Compose([
tr.RandomHorizontalFlip(),
tr.RandomScaleCrop(base_size=self.args.base_size,
crop_size=self.args.crop_size),
tr.RandomGaussianBlur(),
tr.Normalize(mean=(0.485, 0.456, 0.406),
std=(0.229, 0.224, 0.225)),
tr.ToTensor(),
])
return composed_transforms(sample)
