remove unnecessary imports

9 files changed, 2 insertions, 23 deletions

diff --git a/data/aligned_dataset.py b/data/aligned_dataset.py
index 50390f3..a0c9a0a 100755
--- a/data/aligned_dataset.py
+++ b/data/aligned_dataset.py
@@ -1,13 +1,9 @@
 ### Copyright (C) 2017 NVIDIA Corporation. All rights reserved. 
 ### Licensed under the CC BY-NC-SA 4.0 license (https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode).
 import os.path
-import random
-import torchvision.transforms as transforms
-import torch
 from data.base_dataset import BaseDataset, get_params, get_transform, normalize
 from data.image_folder import make_dataset
 from PIL import Image
-import numpy as np
 
 class AlignedDataset(BaseDataset):
     def initialize(self, opt):
diff --git a/data/image_folder.py b/data/image_folder.py
index 16a447c..df0141f 100755
--- a/data/image_folder.py
+++ b/data/image_folder.py
@@ -4,12 +4,9 @@
 # Modified the original code so that it also loads images from the current
 # directory as well as the subdirectories
 ###############################################################################
-
 import torch.utils.data as data
-
 from PIL import Image
 import os
-import os.path
 
 IMG_EXTENSIONS = [
     '.jpg', '.JPG', '.jpeg', '.JPEG',
diff --git a/encode_features.py b/encode_features.py
index 0e97da8..8437264 100755
--- a/encode_features.py
+++ b/encode_features.py
@@ -4,9 +4,7 @@ from options.train_options import TrainOptions
 from data.data_loader import CreateDataLoader

 from models.models import create_model

 import numpy as np

-import os, time

-import util.util as util

-from torch.autograd import Variable

+import os

 

 opt = TrainOptions().parse()

 opt.nThreads = 1

diff --git a/models/networks.py b/models/networks.py
index a673a56..c583b99 100755
--- a/models/networks.py
+++ b/models/networks.py
@@ -2,13 +2,9 @@
 ### Licensed under the CC BY-NC-SA 4.0 license (https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode).
 import torch
 import torch.nn as nn
-from torch.nn import init
 import functools
 from torch.autograd import Variable
 import numpy as np
-import math
-import torch.nn.functional as F
-import copy
 
 ###############################################################################
 # Functions
diff --git a/models/pix2pixHD_model.py b/models/pix2pixHD_model.py
index ba44e53..fea9a1d 100755
--- a/models/pix2pixHD_model.py
+++ b/models/pix2pixHD_model.py
@@ -3,9 +3,7 @@
 import numpy as np
 import torch
 import os
-from collections import OrderedDict
 from torch.autograd import Variable
-import util.util as util
 from util.image_pool import ImagePool
 from .base_model import BaseModel
 from . import networks
diff --git a/precompute_feature_maps.py b/precompute_feature_maps.py
index a631b9c..d7fe418 100755
--- a/precompute_feature_maps.py
+++ b/precompute_feature_maps.py
@@ -3,8 +3,7 @@
 from options.train_options import TrainOptions

 from data.data_loader import CreateDataLoader

 from models.models import create_model

-import numpy as np

-import os, time

+import os

 import util.util as util

 from torch.autograd import Variable

 import torch.nn as nn

diff --git a/test.py b/test.py
index d96ac10..a9c8729 100755
--- a/test.py
+++ b/test.py
@@ -1,6 +1,5 @@
 ### Copyright (C) 2017 NVIDIA Corporation. All rights reserved. 
 ### Licensed under the CC BY-NC-SA 4.0 license (https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode).
-import time
 import os
 from collections import OrderedDict
 from options.test_options import TestOptions
diff --git a/util/image_pool.py b/util/image_pool.py
index 152ef5b..63e1877 100755
--- a/util/image_pool.py
+++ b/util/image_pool.py
@@ -1,5 +1,4 @@
 import random
-import numpy as np
 import torch
 from torch.autograd import Variable
 class ImagePool():
diff --git a/util/util.py b/util/util.py
index 0898f7a..7da22a9 100755
--- a/util/util.py
+++ b/util/util.py
@@ -4,11 +4,8 @@ from __future__ import print_function
 import torch
 import numpy as np
 from PIL import Image
-import inspect, re
 import numpy as np
 import os
-import collections
-from PIL import Image
 
 # Converts a Tensor into a Numpy array
 # |imtype|: the desired type of the converted numpy array