Fu-Chuen commited on
Commit
42d7162
·
1 Parent(s): 2845bbe

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +29 -2
app.py CHANGED
@@ -34,20 +34,47 @@ print(f'\nworking directory: {os.getcwd()}\n')
34
  # 递归获取目录下所有文件
35
  def get_all_files(directory):
36
  all_files = []
 
37
  for root, dirs, files in os.walk(directory):
38
  for file in files:
39
  all_files.append(os.path.join(root, file))
40
- # 打印所有文件路径
 
 
41
  print("所有的文件:")
42
  for file in all_files:
43
  print(file)
44
- return all_files
 
 
 
 
45
 
46
  # 指定工作目录
47
  working_directory = '/home/user/app'
48
  # 列出工作目录及其子目录下的所有文件
49
  get_all_files(working_directory)
50
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
51
  """# load MobileNet model"""
52
 
53
  MobileNet_model = keras.models.load_model(Path(model_path,'MobileNetV3Large_Genus_5th_fold_model'))
 
34
  # 递归获取目录下所有文件
35
  def get_all_files(directory):
36
  all_files = []
37
+ all_directories = []
38
  for root, dirs, files in os.walk(directory):
39
  for file in files:
40
  all_files.append(os.path.join(root, file))
41
+ for dir in dirs:
42
+ all_directories.append(os.path.join(root, dir))
43
+ # 打印所有文件路径
44
  print("所有的文件:")
45
  for file in all_files:
46
  print(file)
47
+ # 打印所有文件路径
48
+ print("所有的目录:")
49
+ for dir in all_directories:
50
+ print(dir)
51
+ return all_files, all_directories
52
 
53
  # 指定工作目录
54
  working_directory = '/home/user/app'
55
  # 列出工作目录及其子目录下的所有文件
56
  get_all_files(working_directory)
57
 
58
+
59
+ # import os
60
+
61
+ # def list_files_and_subdirectories(directory):
62
+ # for root, dirs, files in os.walk(directory):
63
+ # print(f"Current Directory: {root}")
64
+
65
+ # # List subdirectories
66
+ # for directory in dirs:
67
+ # print(f"Subdirectory: {directory}")
68
+
69
+ # # List files
70
+ # for file in files:
71
+ # print(f"File: {file}")
72
+
73
+ # Replace 'your_directory_path' with the path of the directory you want to list
74
+ directory_path = 'your_directory_path'
75
+ list_files_and_subdirectories(directory_path)
76
+
77
+
78
  """# load MobileNet model"""
79
 
80
  MobileNet_model = keras.models.load_model(Path(model_path,'MobileNetV3Large_Genus_5th_fold_model'))