diff --git a/is_fid_pytorch.py b/is_fid_pytorch.py
index a6bfdff..5bbf4c8 100644
--- a/is_fid_pytorch.py
+++ b/is_fid_pytorch.py
@@ -83,24 +83,28 @@
         * https://paperswithcode.com/sota/image-generation-generative-models-of-ci
         * https://paperswithcode.com/task/conditional-image-generation
 """
+import os
+import sys
+import random
+import pathlib
+import numpy as np
 
 import torch
 import torch.nn as nn
+import torch.utils.data
+
 from torch.autograd import Variable
 from torch.nn import functional as F
-import torch.utils.data
 from torchvision.models.inception import inception_v3
 
+from PIL import Image
+from skimage.transform import resize
 from scipy.stats import entropy
-import scipy.misc
 from scipy import linalg
-import numpy as np
+
 from tqdm import tqdm
 from glob import glob
-import pathlib
-import os
-import sys
-import random
+
 
 CUR_DIRNAME = os.path.dirname(os.path.abspath(__file__))
 
@@ -376,8 +380,8 @@ def read_folder(foldername):
         img_list = []
         print('Reading Images from %s ...' % foldername)
         for file in tqdm(files):
-            img = scipy.misc.imread(file, mode='RGB')
-            img = scipy.misc.imresize(img, (299, 299), interp='bilinear')
+            img = Image.open(file)
+            img = np.array(img.resize((299, 299), resample=Image.BILINEAR))
             img = np.cast[np.float32]((-128 + img) / 128.)  # 0~255 -> -1~1
             img = np.expand_dims(img, axis=0).transpose(0, 3, 1, 2)  # NHWC -> NCHW
             img_list.append(img)