class FaceSwapInterface:
def __init__(self):
self._parser = FullHelpArgumentParser()
self._subparser = self._parser.add_subparsers()
def extract(self, input_dir, output_dir, filter_path):
extract = Extract(self._subparser, "extract",
"Extract the faces from a pictures.")
args_str = "extract --input-dir {} --output-dir {} --processes 1 --detector cnn --filter {}"
args_str = args_str.format(input_dir, output_dir, filter_path)
self._run_script(args_str)
def train(self, input_a_dir, input_b_dir, model_dir, gan=False):
model_type = "Original"
if gan:
model_type = "GAN"
train = Train(
self._subparser, "train",
"This command trains the model for the two faces A and B.")
args_str = "train --input-A {} --input-B {} --model-dir {} --trainer {} --batch-size {} --write-image"
args_str = args_str.format(input_a_dir, input_b_dir, model_dir,
model_type, 512)
self._run_script(args_str)
def _run_script(self, args_str):
args = self._parser.parse_args(args_str.split(' '))
args.func(args)
def SPSort(context):
args = context.args
PARSER = FullHelpArgumentParser()
SORT = cli.SortArgs(
PARSER, "sort",
"This command lets you sort images using various methods.")
ARGUMENTS = PARSER.parse_args([
"--input",
args.inputData,
"--output",
args.outputData,
"--sort-by",
args.sortBy,
"--ref_threshold",
str(args.refThreshold),
"--final-process",
args.finalProcess,
"--group-by",
args.groupBy,
"--bins",
str(args.bins),
])
ARGUMENTS.func(ARGUMENTS)
return args.outputData
if sys.version_info[0] == 3 and sys.version_info[1] < 2:
raise Exception("This program requires at least python3.2")
def bad_args(args):
""" Print help on bad arguments """
PARSER.print_help()
exit(0)
if __name__ == "__main__":
_tools_warning = "Please backup your data and/or test the tool you want "
_tools_warning += "to use with a smaller data set to make sure you "
_tools_warning += "understand how it works."
print(_tools_warning)
PARSER = FullHelpArgumentParser()
SUBPARSER = PARSER.add_subparsers()
EFFMPEG = cli.EffmpegArgs(SUBPARSER,
"effmpeg",
"This command allows you to easily execute common ffmpeg tasks.")
SORT = cli.SortArgs(SUBPARSER,
"sort",
"This command lets you sort images using various methods.")
GUI = GuiArgs(SUBPARSER,
"gui",
"Launch the Faceswap Tools Graphical User Interface.")
PARSER.set_defaults(func=bad_args)
ARGUMENTS = PARSER.parse_args()
ARGUMENTS.func(ARGUMENTS)
return retval
@staticmethod
def parse_time(txt):
""" Parse Time """
clean_txt = txt.replace(':', '')
hours = clean_txt[0:2]
minutes = clean_txt[2:4]
seconds = clean_txt[4:6]
retval = hours + ':' + minutes + ':' + seconds
logger.debug("txt: '%s', retval: %s", txt, retval)
return retval
def bad_args(args): # pylint: disable=unused-argument
""" Print help on bad arguments """
PARSER.print_help()
exit(0)
if __name__ == "__main__":
print('"Easy"-ffmpeg wrapper.\n')
PARSER = FullHelpArgumentParser()
SUBPARSER = PARSER.add_subparsers()
EFFMPEG = cli.EffmpegArgs(SUBPARSER, "effmpeg",
"Wrapper for various common ffmpeg commands.")
PARSER.set_defaults(func=bad_args)
ARGUMENTS = PARSER.parse_args()
ARGUMENTS.func(ARGUMENTS)
raise Exception("This program requires at least python3.2")
if sys.version_info[0] == 3 and sys.version_info[1] < 2:
raise Exception("This program requires at least python3.2")
from lib.cli import FullHelpArgumentParser
from scripts.extract import ExtractTrainingData
from scripts.train import TrainingProcessor
from scripts.convert import ConvertImage
def bad_args(args):
parser.print_help()
exit(0)
if __name__ == "__main__":
parser = FullHelpArgumentParser()
subparser = parser.add_subparsers()
extract = ExtractTrainingData(subparser, "extract",
"Extract the faces from a pictures.")
train = TrainingProcessor(
subparser, "train",
"This command trains the model for the two faces A and B.")
convert = ConvertImage(
subparser, "convert",
"Convert a source image to a new one with the face swapped.")
parser.set_defaults(func=bad_args)
arguments = parser.parse_args()
arguments.func(arguments)