video process resolution

inference/v2v_data/demo.py

@@ -159,8 +159,8 @@ class GetAnchorVideos:
             masks.append(mask2)
         cond_video = (torch.cat(warped_images) + 1.0) / 2.0
         
-        cond_video_save = process_video_tensor(cond_video).cpu()
-        ori_video_save = process_video_tensor((frames+1.0) / 2.0).cpu()
+        cond_video_save = process_video_tensor(cond_video, resolution=(opts.height, opts.width)).cpu()
+        ori_video_save = process_video_tensor((frames+1.0) / 2.0, resolution=(opts.height, opts.width)).cpu()
         save_cated = torch.cat([ori_video_save, cond_video_save], dim=3)
         # post_t  captions  depth  intrinsics  joint_videos
         save_name = os.path.basename(opts.video_path).split('.')[0]