| import os
|
| import h5py,cv2,imageio
|
| import numpy as np
|
| from PIL import Image
|
| from os.path import join
|
|
|
| def get_path_list(root_path,img_path,label_path,fov_path):
|
| tmp_list = [img_path,label_path,fov_path]
|
| res = []
|
| for i in range(len(tmp_list)):
|
| data_path = join(data_root_path,tmp_list[i])
|
| filename_list = os.listdir(data_path)
|
| filename_list.sort()
|
| res.append([join(data_path,j) for j in filename_list])
|
| return res
|
|
|
| def write_path_list(name_list, save_path, file_name):
|
| f = open(join(save_path, file_name), 'w')
|
| for i in range(len(name_list[0])):
|
| f.write(str(name_list[0][i]) + " " + str(name_list[1][i]) + " " + str(name_list[2][i]) + '\n')
|
| f.close()
|
|
|
| if __name__ == "__main__":
|
|
|
| data_root_path = ''
|
|
|
|
|
| img_train = "DRIVE/training/images/"
|
| gt_train = "DRIVE/training/1st_manual/"
|
| fov_train = "DRIVE/training/mask/"
|
|
|
| img_test = "DRIVE/test/images/"
|
| gt_test = "DRIVE/test/1st_manual/"
|
| fov_test = "DRIVE/test/mask/"
|
|
|
| save_path = "./data_path_list/DRIVE/"
|
| if not os.path.isdir(save_path):
|
| os.mkdir(save_path)
|
|
|
| train_list = get_path_list(data_root_path,img_train,gt_train,fov_train)
|
| print('Number of train imgs:',len(train_list[0]))
|
| write_path_list(train_list, save_path, 'train.txt')
|
|
|
| test_list = get_path_list(data_root_path,img_test,gt_test,fov_test)
|
| print('Number of test imgs:',len(test_list[0]))
|
| write_path_list(test_list, save_path, 'test.txt')
|
|
|
| print("Finish!")
|
|
|
|
|
