Update README.md

Author: wanghuanphd

README.md

@@ -3,7 +3,7 @@ The tensorflow and pytorch implementations of the MDvsFA_cGAN model which is pro
 
 File and folder description: 
 1) The file demo_MDvsFA_tensorflow.py is the code file of tensorflow version and 'demo_MDvsFA_pytorch.py' is the code file of pytorch version. Just run them as 'python demo_MDvsFA_tensorflow.py' or 'python demo_MDvsFA_pytorch.py'.  File path and key parameters can be tuned in the respective files.
-2) The 'data' folder includes the training set in the sub-folder 'training' (both the original and ground-truth images), the test set in the sub-folder 'test_org' (only orginial images) and folder 'test_gt' (only ground-truth images).
+2) The 'data' folder includes the training set in the sub-folder 'training' (both the original and ground-truth images), the test set in the sub-folder 'test_org' (only orginial images) and folder 'test_gt' (only ground-truth images). Due to size limitation when uploading each file, we separate the whole data folder into six parts (.rar files). If you install WinRAR, the six files can be automatically recognized and merged.  
 3) Please manually consruct an empty folder named 'trained model' to store all generated model files and segmentation results. Please put the code file (either demo_MDvsFA_tensorflow.py or demo_MDvsFA_pytorch.py), folder 'trained model' and folder 'data' in the same directory.
 
 Should you have any questions on the code file 'demo_MDvsFA_tensorflow.py' and the dataset, please contact Huan Wang (wanghuanphd@njust.edu.cn) and Lei Wang (leiw@uow.edu.au). Should you have any questions on the code file 'demo_MDvsFA_pytorch.py', please contact Ziyu Li (liziyu@seu.edu.cn) and Wankou Yang (wkyang@seu.edu.cn).