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f43ed93 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 | 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__":
#------------Path of the dataset -------------------------
data_root_path = ''
# if not os.path.exists(data_root_path): raise ValueError("data path is not exist, Please make sure your data path is correct")
#train
img_train = "DRIVE/training/images/"
gt_train = "DRIVE/training/1st_manual/"
fov_train = "DRIVE/training/mask/"
#test
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!")
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