diff --git a/Code/1_data_prepare/1_1_cifar10_to_png.py b/Code/1_data_prepare/1_1_cifar10_to_png.py
index 9df14994ab093c6f3f7a46203882690234b16f2e..4ff2c88c9cb2dba41f580096b45d5c27230b00c6 100644
--- a/Code/1_data_prepare/1_1_cifar10_to_png.py
+++ b/Code/1_data_prepare/1_1_cifar10_to_png.py
@@ -8,17 +8,17 @@ import numpy as np
 import os
 import pickle
 
-data_dir = '../../Data/cifar-10-batches-py/'
-train_o_dir = '../../Data/cifar-10-png/raw_train/'
-test_o_dir = '../../Data/cifar-10-png/raw_test/'
+
+data_dir = os.path.join("..", "..", "Data", "cifar-10-batches-py")
+train_o_dir = os.path.join("..", "..", "Data", "cifar-10-png", "raw_train")
+test_o_dir = os.path.join("..", "..", "Data", "cifar-10-png", "raw_test")
 
 Train = False   # 不解压训练集，仅解压测试集
 
 # 解压缩，返回解压后的字典
 def unpickle(file):
-    fo = open(file, 'rb')
-    dict_ = pickle.load(fo, encoding='bytes')
-    fo.close()
+    with open(file, 'rb') as fo:
+        dict_ = pickle.load(fo, encoding='bytes')
     return dict_
 
 def my_mkdir(my_dir):
@@ -30,7 +30,7 @@ def my_mkdir(my_dir):
 if __name__ == '__main__':
     if Train:
         for j in range(1, 6):
-            data_path = data_dir + "data_batch_" + str(j)  # data_batch_12345
+            data_path = os.path.join(data_dir, "data_batch_" + str(j))  # data_batch_12345
             train_data = unpickle(data_path)
             print(data_path + " is loading...")
 
@@ -50,7 +50,7 @@ if __name__ == '__main__':
     print("test_batch is loading...")
 
     # 生成测试集图片
-    test_data_path = data_dir + "test_batch"
+    test_data_path = os.path.join(data_dir, "test_batch")
     test_data = unpickle(test_data_path)
     for i in range(0, 10000):
         img = np.reshape(test_data[b'data'][i], (3, 32, 32))