v1.0.0 update

scepter/modules/transform/augmention.py

@@ -5,14 +5,13 @@ import random
 
 # https://github.com/TengdaHan/DPC/blob/master/utils/augmentation.py
 import torch
-from torchvision.transforms import Compose, Lambda
-
 from scepter.modules.transform.image import ImageTransform
 from scepter.modules.transform.registry import TRANSFORMS
 from scepter.modules.transform.utils import (BACKEND_CV2, BACKEND_PILLOW,
                                              BACKEND_TORCHVISION,
                                              TORCHVISION_CAPABILITY)
 from scepter.modules.utils.config import dict_to_yaml
+from torchvision.transforms import Compose, Lambda
 
 if TORCHVISION_CAPABILITY:
     BACKENDS = (BACKEND_PILLOW, BACKEND_CV2, BACKEND_TORCHVISION)

scepter/modules/transform/image.py

@@ -8,7 +8,6 @@ import opencv_transforms.transforms as cv2_transforms
 import torch
 import torchvision.transforms as transforms
 import torchvision.transforms.functional as TF
-
 from scepter.modules.transform.registry import TRANSFORMS
 from scepter.modules.transform.utils import (
     BACKEND_CV2, BACKEND_PILLOW, BACKEND_TORCHVISION, INPUT_CV2_TYPE_WARNING,

scepter/modules/transform/io.py

@@ -7,7 +7,6 @@ import cv2
 import numpy as np
 import torch
 from PIL import Image, ImageFile
-
 from scepter.modules.transform.registry import TRANSFORMS
 from scepter.modules.utils.config import dict_to_yaml
 from scepter.modules.utils.distribute import we

scepter/modules/transform/io_video.py

@@ -8,7 +8,6 @@ import threading
 
 import numpy as np
 import torch
-
 from scepter.modules.transform import LoadImageFromFile
 from scepter.modules.transform.registry import TRANSFORMS
 from scepter.modules.utils.config import dict_to_yaml

scepter/modules/transform/tensor.py

@@ -4,7 +4,6 @@
 import numpy as np
 import torch
 from PIL import Image
-
 from scepter.modules.transform.registry import TRANSFORMS
 from scepter.modules.utils.config import dict_to_yaml
 from scepter.modules.utils.distribute import we

scepter/modules/transform/transform_xl.py

@@ -7,7 +7,6 @@ import opencv_transforms.functional as cv2_TF
 import torch
 import torchvision.transforms.functional as TF
 from PIL.Image import Image
-
 from scepter.modules.transform import TRANSFORMS, ImageTransform
 from scepter.modules.transform.image import BACKENDS
 from scepter.modules.transform.utils import BACKEND_PILLOW, BACKEND_TORCHVISION

scepter/modules/transform/utils.py

@@ -1,9 +1,10 @@
 # -*- coding: utf-8 -*-
 # Copyright (c) Alibaba, Inc. and its affiliates.
+from packaging import version
+
 import cv2
 import numpy as np
 import torch
-from packaging import version
 from PIL import Image
 from torchvision.version import __version__ as tv_version
 

scepter/modules/transform/video.py

@@ -3,18 +3,18 @@
 
 import random
 
+from packaging import version
+
 import numpy as np
 import torch
 import torchvision.transforms.functional as functional
 import torchvision.transforms.transforms as transforms
-from packaging import version
-from torchvision.version import __version__ as tv_version
-
 from scepter.modules.transform.registry import TRANSFORMS
 from scepter.modules.transform.utils import (BACKEND_TORCHVISION,
                                              INTERPOLATION_STYLE, is_tensor)
 # torchvision.transform._transforms_video is deprecated since torchvision 0.10.0, use transform instead
 from scepter.modules.utils.config import dict_to_yaml
+from torchvision.version import __version__ as tv_version
 
 use_video_transforms = version.parse(tv_version) < version.parse('0.10.0')