'no_preview' : arguments.no_preview, 'debug' : arguments.debug, 'execute_programs' : [ [int(x[0]), x[1] ] for x in arguments.execute_program ] } device_args = {'cpu_only' : arguments.cpu_only, 'force_gpu_idx' : arguments.force_gpu_idx, } from mainscripts import Trainer Trainer.main(args, device_args) p = subparsers.add_parser( "train", help="Trainer") p.add_argument('--training-data-src-dir', required=True, action=fixPathAction, dest="training_data_src_dir", help="Dir of extracted SRC faceset.") p.add_argument('--training-data-dst-dir', required=True, action=fixPathAction, dest="training_data_dst_dir", help="Dir of extracted DST faceset.") p.add_argument('--pretraining-data-dir', action=fixPathAction, dest="pretraining_data_dir", default=None, help="Optional dir of extracted faceset that will be used in pretraining mode.") 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('--no-preview', action="store_true", dest="no_preview", default=False, help="Disable preview window.") p.add_argument('--debug', action="store_true", dest="debug", default=False, help="Debug samples.") p.add_argument('--cpu-only', action="store_true", dest="cpu_only", default=False, help="Train on CPU.") p.add_argument('--force-gpu-idx', type=int, dest="force_gpu_idx", default=-1, help="Force to choose this GPU idx.") p.add_argument('--execute-program', dest="execute_program", default=[], action='append', nargs='+') p.set_defaults (func=process_train) def process_convert(arguments): os_utils.set_process_lowest_prio() args = {'input_dir' : arguments.input_dir, 'output_dir' : arguments.output_dir, 'aligned_dir' : arguments.aligned_dir, 'model_dir' : arguments.model_dir, 'model_name' : arguments.model_name, 'debug' : arguments.debug,
'--pretraining-data-dir', action=fixPathAction, dest="pretraining_data_dir", default=None, help= "Optional dir of extracted faceset that will be used in pretraining mode." ) 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('--no-preview', action="store_true", dest="no_preview", default=False, help="Disable preview window.") p.add_argument('--debug', action="store_true", dest="debug", default=False, help="Debug samples.") p.add_argument('--cpu-only', action="store_true", dest="cpu_only", default=False,