diff --git a/codes/data_scripts/extract_subimages.py b/codes/data_scripts/extract_subimages.py
index f3d62e6c..2bb0c865 100644
--- a/codes/data_scripts/extract_subimages.py
+++ b/codes/data_scripts/extract_subimages.py
@@ -20,10 +20,10 @@ def main():
     # CV_IMWRITE_PNG_COMPRESSION from 0 to 9. A higher value means a smaller size and longer
     # compression time. If read raw images during training, use 0 for faster IO speed.
     if mode == 'single':
-        opt['input_folder'] = 'F:\\4k6k\\datasets\\sft_ns_images\\images'
-        opt['save_folder'] = 'F:\\4k6k\\datasets\\sft_ns_images\\images_tiled'
-        opt['crop_sz'] = 300  # the size of each sub-image
-        opt['step'] = 280  # step of the sliding crop window
+        opt['input_folder'] = 'F:\\4k6k\\datasets\\imagesets\\new'
+        opt['save_folder'] = 'F:\\4k6k\\datasets\\imagesets\\unfiltered_tiled_2x'
+        opt['crop_sz'] = 512  # the size of each sub-image
+        opt['step'] = 440  # step of the sliding crop window
         opt['thres_sz'] = 120  # size threshold
         extract_single(opt, split_img)
     elif mode == 'pair':
diff --git a/codes/distill_torchscript.py b/codes/distill_torchscript.py
index 20939a91..fd5f7455 100644
--- a/codes/distill_torchscript.py
+++ b/codes/distill_torchscript.py
@@ -9,7 +9,7 @@ import torch.nn.functional as F
 if __name__ == "__main__":
 
     parser = argparse.ArgumentParser()
-    parser.add_argument('-opt', type=str, help='Path to options YAML file.', default='../options/use_vrp_upsample.yml')
+    parser.add_argument('-opt', type=str, help='Path to options YAML file.', default='../options/use_video_upsample.yml')
     opt = option.parse(parser.parse_args().opt, is_train=False)
     opt = option.dict_to_nonedict(opt)
     netG = define_G(opt)
diff --git a/codes/test.py b/codes/test.py
index 2793481f..2e7f1337 100644
--- a/codes/test.py
+++ b/codes/test.py
@@ -17,7 +17,7 @@ if __name__ == "__main__":
     torch.backends.cudnn.benchmark = True
     want_just_images = True
     parser = argparse.ArgumentParser()
-    parser.add_argument('-opt', type=str, help='Path to options YMAL file.', default='../options/upsample_full_movie.yml')
+    parser.add_argument('-opt', type=str, help='Path to options YMAL file.', default='../options/test_resgen_upsample.yml')
     opt = option.parse(parser.parse_args().opt, is_train=False)
     opt = option.dict_to_nonedict(opt)