'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,
