Added interactive converter.

With interactive converter you can change any parameter of any frame and see the result in real time.

Converter: added motion_blur_power param.
Motion blur is applied by precomputed motion vectors.
So the moving face will look more realistic.

RecycleGAN model is removed.

Added experimental AVATAR model. Minimum required VRAM is 6GB (NVIDIA), 12GB (AMD)
Usage:
1) place data_src.mp4 10-20min square resolution video of news reporter sitting at the table with static background,
   other faces should not appear in frames.
2) process "extract images from video data_src.bat" with FULL fps
3) place data_dst.mp4 video of face who will control the src face
4) process "extract images from video data_dst FULL FPS.bat"
5) process "data_src mark faces S3FD best GPU.bat"
6) process "data_dst extract unaligned faces S3FD best GPU.bat"
7) train AVATAR.bat stage 1, tune batch size to maximum for your card (32 for 6GB), train to 50k+ iters.
8) train AVATAR.bat stage 2, tune batch size to maximum for your card (4 for 6GB), train to decent sharpness.
9) convert AVATAR.bat
10) converted to mp4.bat

updated versions of modules

main.py

@@ -48,8 +48,8 @@ if __name__ == "__main__":
     p.add_argument('--manual-window-size', type=int, dest="manual_window_size", default=1368, help="Manual fix window size. Default: 1368.")
     p.add_argument('--cpu-only', action="store_true", dest="cpu_only", default=False, help="Extract on CPU. Forces to use MT extractor.")
     p.set_defaults (func=process_extract)
-    
-    
+
+
     def process_dev_extract_umd_csv(arguments):
         os_utils.set_process_lowest_prio()
         from mainscripts import Extractor
@@ -80,7 +80,7 @@ if __name__ == "__main__":
     p.add_argument('--cpu-only', action="store_true", dest="cpu_only", default=False, help="Extract on CPU.")
     p.set_defaults (func=process_extract_fanseg)
     """
-    
+
     def process_sort(arguments):
         os_utils.set_process_lowest_prio()
         from mainscripts import Sorter
@@ -103,17 +103,17 @@ if __name__ == "__main__":
 
         if arguments.recover_original_aligned_filename:
             Util.recover_original_aligned_filename (input_path=arguments.input_dir)
-            
+
         #if arguments.remove_fanseg:
         #    Util.remove_fanseg_folder (input_path=arguments.input_dir)
-            
+
     p = subparsers.add_parser( "util", help="Utilities.")
     p.add_argument('--input-dir', required=True, action=fixPathAction, dest="input_dir", help="Input directory. A directory containing the files you wish to process.")
     p.add_argument('--convert-png-to-jpg', action="store_true", dest="convert_png_to_jpg", default=False, help="Convert DeepFaceLAB PNG files to JPEG.")
     p.add_argument('--add-landmarks-debug-images', action="store_true", dest="add_landmarks_debug_images", default=False, help="Add landmarks debug image for aligned faces.")
     p.add_argument('--recover-original-aligned-filename', action="store_true", dest="recover_original_aligned_filename", default=False, help="Recover original aligned filename.")
     #p.add_argument('--remove-fanseg', action="store_true", dest="remove_fanseg", default=False, help="Remove fanseg mask from aligned faces.")
-    
+
     p.set_defaults (func=process_util)
 
     def process_train(arguments):
@@ -153,7 +153,6 @@ if __name__ == "__main__":
                 'aligned_dir' : arguments.aligned_dir,
                 'model_dir'   : arguments.model_dir,
                 'model_name'  : arguments.model_name,
-                'debug'       : arguments.debug,
                 }
         device_args = {'cpu_only'  : arguments.cpu_only,
                        'force_gpu_idx' : arguments.force_gpu_idx,
@@ -167,7 +166,6 @@ if __name__ == "__main__":
     p.add_argument('--aligned-dir', action=fixPathAction, dest="aligned_dir", help="Aligned directory. This is where the extracted of dst faces stored.")
     p.add_argument('--model-dir', required=True, action=fixPathAction, dest="model_dir", help="Model dir.")
     p.add_argument('--model', required=True, dest="model_name", choices=Path_utils.get_all_dir_names_startswith ( Path(__file__).parent / 'models' , 'Model_'), help="Type of model")
-    p.add_argument('--debug', action="store_true", dest="debug", default=False, help="Debug converter.")
     p.add_argument('--force-gpu-idx', type=int, dest="force_gpu_idx", default=-1, help="Force to choose this GPU idx.")
     p.add_argument('--cpu-only', action="store_true", dest="cpu_only", default=False, help="Convert on CPU.")
     p.set_defaults(func=process_convert)
@@ -242,7 +240,7 @@ if __name__ == "__main__":
     p.add_argument('--confirmed-dir', required=True, action=fixPathAction, dest="confirmed_dir", help="This is where the labeled faces will be stored.")
     p.add_argument('--skipped-dir', required=True, action=fixPathAction, dest="skipped_dir", help="This is where the labeled faces will be stored.")
     p.set_defaults(func=process_labelingtool_edit_mask)
-    
+
     def bad_args(arguments):
         parser.print_help()
         exit(0)