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)