def transform_val(self, sample):
composed_transforms = transforms.Compose([
tr.FixScaleCrop(400),
tr.Normalize(mean=self.source_dist['mean'], std=self.source_dist['std']),
tr.ToTensor(),
])
return composed_transforms(sample)
def transform_val(self, sample):
composed_transforms = transforms.Compose([
tr.FixScaleCrop(400),
tr.Normalize(),
tr.ToTensor(),
])
return composed_transforms(sample)
def transform_val(self, sample):
composed_transforms = transforms.Compose([
tr.FixScaleCrop(400),
#tr.Normalize(mean=(0.485, 0.456, 0.406), std=(0.229, 0.224, 0.225)),
tr.Normalize(),
tr.ToTensor(),
])
return composed_transforms(sample)
def transform_val(self, sample):
composed_transforms = transforms.Compose([
tr.FixScaleCrop(400),
tr.Normalize(mean=self.mean_std[0], std=self.mean_std[1]),
tr.ToTensor()
])
return composed_transforms(sample)
def transform_pair_val(self, sample):
composed_transforms = transforms.Compose([
tr.FixScaleCrop(400),
tr.HorizontalFlip(),
tr.GaussianBlur(),
tr.Normalize(mean=self.source_dist['mean'], std=self.source_dist['std'], if_pair=True),
tr.ToTensor(if_pair=True),
])
return composed_transforms(sample)
def transform_val(self, sample):
composed_transforms = transforms.Compose([
tr.FixScaleCrop(400),
tr.Normalize(mean=(0.2382, 0.2741, 0.3068),
std=(0.1586, 0.1593, 0.1618)),
# tr.Normalize(),
tr.ToTensor()
])
return composed_transforms(sample)
def transform_val(self, sample):
composed_transforms = transforms.Compose([
tr.FixScaleCrop(400),
tr.Normalize(mean=(0.2709, 0.3400, 0.3707),
std=(0.1403, 0.1570, 0.1658)),
# tr.Normalize(),
tr.ToTensor()
])
return composed_transforms(sample)
def transform_val(self, sample):
val_transforms = list()
val_transforms.append(tr.FixScaleCrop(crop_size=self.cfg.FINE_SIZE))
val_transforms.append(tr.ToTensor())
val_transforms.append(
tr.Normalize(mean=self.cfg.MEAN,
std=self.cfg.STD,
ms_targets=self.ms_targets))
composed_transforms = transforms.Compose(val_transforms)
return composed_transforms(sample)
def transform_pair_val(self, sample):
composed_transforms = transforms.Compose([
tr.FixScaleCrop(400),
#tr.Normalize(mean=(0.485, 0.456, 0.406), std=(0.229, 0.224, 0.225)),
tr.HorizontalFlip(),
tr.GaussianBlur(),
tr.Normalize(if_pair=True),
tr.ToTensor(if_pair=True),
])
return composed_transforms(sample)
def transform_val(self, sample):
composed_transforms = transforms.Compose([
tr.FixScaleCrop(400),
tr.Normalize(mean=(0.1420, 0.2116, 0.2823),
std=(0.0899, 0.1083, 0.1310)),
# tr.Normalize(),
tr.ToTensor()
])
return composed_transforms(sample)
def transform_val(self, sample):
composed_transforms = transforms.Compose([
tr.FixScaleCrop(400),
tr.Normalize(mean=(0.3441, 0.3809, 0.4014),
std=(0.1883, 0.2039, 0.2119)),
# tr.Normalize(),
tr.ToTensor()
])
return composed_transforms(sample)
