Merge branch 'master' of http://khuhub.khu.ac.kr/2021-1-capstone-design1/BSH_Project3 into master

 import os
 import os
 import glob
 import glob
 import h5py
 import h5py
-import scipy.misc as misc
+from skimage import io
 import numpy as np
 import numpy as np
 
 
-dataset_dir = "DIV2K/"
+dataset_dir = "/workspace/dataset/DIV2K/"
 dataset_type = "train"
 dataset_type = "train"
 
 
 f = h5py.File("DIV2K_{}.h5".format(dataset_type), "w")
 f = h5py.File("DIV2K_{}.h5".format(dataset_type), "w")
 dt = h5py.special_dtype(vlen=np.dtype('uint8'))
 dt = h5py.special_dtype(vlen=np.dtype('uint8'))
 
 
-for subdir in ["HR", "X2", "X3", "X4"]:
+for subdir in ["HR", "X2"]:
     if subdir in ["HR"]:
     if subdir in ["HR"]:
         im_paths = glob.glob(os.path.join(dataset_dir, 
         im_paths = glob.glob(os.path.join(dataset_dir, 
                                           "DIV2K_{}_HR".format(dataset_type), 
                                           "DIV2K_{}_HR".format(dataset_type), 
@@ -24,6 +24,6 @@ for subdir in ["HR", "X2", "X3", "X4"]:
     grp = f.create_group(subdir)
     grp = f.create_group(subdir)
 
 
     for i, path in enumerate(im_paths):
     for i, path in enumerate(im_paths):
-        im = misc.imread(path)
+        im = io.imread(path)
         print(path)
         print(path)
         grp.create_dataset(str(i), data=im)
         grp.create_dataset(str(i), data=im)