def _run_script(self, args_str):
PARSER = cli.FullHelpArgumentParser()
SUBPARSER = PARSER.add_subparsers()
EXTRACT = cli.ExtractArgs(SUBPARSER, "extract",
"Extract the faces from pictures")
TRAIN = cli.TrainArgs(
SUBPARSER, "train",
"This command trains the model for the two faces A and B")
CONVERT = cli.ConvertArgs(
SUBPARSER, "convert",
"Convert a source image to a new one with the face swapped")
GUI = cli.GuiArgs(SUBPARSER, "gui",
"Launch the Faceswap Graphical User Interface")
PARSER.set_defaults(func=self.bad_args)
ARGUMENTS = PARSER.parse_args(args_str.split(' '))
ARGUMENTS.func(ARGUMENTS)
def SPConvert(context):
args = context.args
video = get_all_files(args.refVideo)[0] if args.refVideo else args.refVideo
PARSER = cli.FullHelpArgumentParser()
CONVERT = cli.ConvertArgs(
PARSER, "convert",
"Convert a source image to a new one with the face swapped")
argsTransfer = [
"--input-dir",
args.inputData1,
"--model-dir",
args.inputModel,
"--output-dir",
args.outputData,
"--color-adjustment",
args.colorAdjustment,
"--mask-type",
args.maskType,
"--scaling",
args.scaling,
"--gpus",
str(args.__gpu),
]
if args.inputData2:
argsTransfer += [
"--alignments",
os.path.join(args.inputData2, "alignments.json"),
]
ARGUMENTS = PARSER.parse_args(argsTransfer)
ARGUMENTS.func(ARGUMENTS)
return args.outputData
class MyFaceSwap():
GPUS = 2
# ---------------------------------------
# DATA DIRS:
# ---------------------------------------
MODEL_DIR = '_data/video_prep_ffmpeg/model/'
INPUT_DIR_EXTRACT = '_data/video_prep_ffmpeg/frames/'
OUTPUT_DIR_EXTRACT = '_data/video_prep_ffmpeg/faces/'
DIR_A_TRAIN = '_data/video_prep_ffmpeg/faces/emma_360_cut.mp4_faces/'
DIR_B_TRAIN = '_data/video_prep_ffmpeg/faces/jade_360_cut.mp4_faces/'
INPUT_DIR_CONVERT = INPUT_DIR_EXTRACT
OUTPUT_DIR_CONVERT = '_data/video_prep_ffmpeg/frames_swapped/'
# ---------------------------------------
# INIT PARSER:
# ---------------------------------------
PARSER = cli.FullHelpArgumentParser()
SUBPARSER = PARSER.add_subparsers()
cli.ExtractArgs(SUBPARSER, "extract", "Extract the faces from pictures")
cli.TrainArgs(SUBPARSER, "train",
"This command trains the model for the two faces A and B")
cli.ConvertArgs(
SUBPARSER, "convert",
"Convert a source image to a new one with the face swapped")
PARSER.set_defaults(func=bad_args)
def __init__(self):
pass
def extract(self, input_dir=None, output_dir=None):
if input_dir is None:
input_dir = MyFaceSwap.INPUT_DIR_EXTRACT
if output_dir is None:
output_dir = MyFaceSwap.OUTPUT_DIR_EXTRACT
ARGUMENTS = MyFaceSwap.PARSER.parse_args(["extract"])
ARGUMENTS.input_dir = input_dir
ARGUMENTS.output_dir = output_dir
ARGUMENTS.func(ARGUMENTS)
def train(self,
input_A=None,
input_B=None,
model_dir=None,
gpus=None,
preview=True,
stop_threshold=0,
stop_iternum=float('inf')):
if input_A is None:
input_A = MyFaceSwap.DIR_A_TRAIN
if input_B is None:
input_B = MyFaceSwap.DIR_B_TRAIN
if model_dir is None:
model_dir = MyFaceSwap.MODEL_DIR
if gpus is None:
gpus = MyFaceSwap.GPUS
ARGUMENTS = MyFaceSwap.PARSER.parse_args(["train"])
ARGUMENTS.input_A = input_A
ARGUMENTS.input_B = input_B
ARGUMENTS.model_dir = model_dir
ARGUMENTS.gpus = gpus
ARGUMENTS.preview = preview
ARGUMENTS.thresh = stop_threshold
ARGUMENTS.iter_num = stop_iternum
ARGUMENTS.func(ARGUMENTS)
# removing backup-files to free space
import os
for item in os.listdir(model_dir):
if item.endswith(".bk"):
os.remove(os.path.join(model_dir, item))
print('backup-files were removed')
def convert(self,
input_dir=INPUT_DIR_CONVERT,
output_dir=OUTPUT_DIR_CONVERT,
model_dir=MODEL_DIR,
gpus=GPUS):
ARGUMENTS = MyFaceSwap.PARSER.parse_args(["convert"])
ARGUMENTS.input_dir = input_dir
ARGUMENTS.output_dir = output_dir
ARGUMENTS.model_dir = model_dir
ARGUMENTS.gpus = gpus
ARGUMENTS.func(ARGUMENTS)
""" The master faceswap.py script """
import sys
import lib.cli as cli
if sys.version_info[0] < 3:
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")
def bad_args(args):
""" Print help on bad arguments """
PARSER.print_help()
exit(0)
if __name__ == "__main__":
PARSER = cli.FullHelpArgumentParser()
SUBPARSER = PARSER.add_subparsers()
EXTRACT = cli.ExtractArgs(SUBPARSER, "extract",
"Extract the faces from pictures")
TRAIN = cli.TrainArgs(
SUBPARSER, "train",
"This command trains the model for the two faces A and B")
CONVERT = cli.ConvertArgs(
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)