diff --git a/codes/data_scripts/extract_subimages_with_ref.py b/codes/data_scripts/extract_subimages_with_ref.py
index 05864c98..9c69318f 100644
--- a/codes/data_scripts/extract_subimages_with_ref.py
+++ b/codes/data_scripts/extract_subimages_with_ref.py
@@ -23,8 +23,8 @@ def main():
 
     if mode == 'single':
         opt['dest'] = 'file'
-        opt['input_folder'] = 'F:\\4k6k\\datasets\\ns_images\\imagesets\\images-half'
-        opt['save_folder'] = 'F:\\4k6k\\datasets\\ns_images\\imagesets\\new_tiles'
+        opt['input_folder'] = 'F:\\4k6k\\datasets\\ns_images\\vixen\\full_video_segments'
+        opt['save_folder'] = 'F:\\4k6k\\datasets\\ns_images\\vixen\\full_video_256_tiled_with_ref'
         opt['crop_sz'] = [256, 512, 1024]  # the size of each sub-image
         opt['step'] = [256, 512, 1024]  # step of the sliding crop window
         opt['thres_sz'] = 128  # size threshold
diff --git a/codes/train.py b/codes/train.py
index 53c0c4f2..f88e327c 100644
--- a/codes/train.py
+++ b/codes/train.py
@@ -32,7 +32,7 @@ def init_dist(backend='nccl', **kwargs):
 def main():
     #### options
     parser = argparse.ArgumentParser()
-    parser.add_argument('-opt', type=str, help='Path to option YAML file.', default='../options/train_blur_discriminator.yml')
+    parser.add_argument('-opt', type=str, help='Path to option YAML file.', default='../options/train_exd_imgset_spsr5_spine_no_pretrain.yml')
     parser.add_argument('--launcher', choices=['none', 'pytorch'], default='none', help='job launcher')
     parser.add_argument('--local_rank', type=int, default=0)
     args = parser.parse_args()