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import os
os.environ['OMP_NUM_THREADS'] = '1'
import signal
import sys
import warnings
import shutil
import numpy
import onnxruntime
from time import sleep, time
from argparse import ArgumentParser, HelpFormatter
import facefusion.choices
import facefusion.globals
from facefusion.face_analyser import get_one_face, get_average_face
from facefusion.face_store import get_reference_faces, append_reference_face
from facefusion import face_analyser, face_masker, content_analyser, config, process_manager, metadata, logger, wording, voice_extractor
from facefusion.content_analyser import analyse_image, analyse_video
from facefusion.processors.frame.core import get_frame_processors_modules, load_frame_processor_module
from facefusion.common_helper import create_metavar, get_first
from facefusion.execution import encode_execution_providers, decode_execution_providers
from facefusion.normalizer import normalize_output_path, normalize_padding, normalize_fps
from facefusion.memory import limit_system_memory
from facefusion.statistics import conditional_log_statistics
from facefusion.download import conditional_download
from facefusion.filesystem import get_temp_frame_paths, get_temp_file_path, create_temp, move_temp, clear_temp, is_image, is_video, filter_audio_paths, resolve_relative_path, list_directory
from facefusion.ffmpeg import extract_frames, merge_video, copy_image, finalize_image, restore_audio, replace_audio
from facefusion.vision import read_image, read_static_images, detect_image_resolution, restrict_video_fps, create_image_resolutions, get_video_frame, detect_video_resolution, detect_video_fps, restrict_video_resolution, restrict_image_resolution, create_video_resolutions, pack_resolution, unpack_resolution
onnxruntime.set_default_logger_severity(3)
warnings.filterwarnings('ignore', category = UserWarning, module = 'gradio')
def cli() -> None:
signal.signal(signal.SIGINT, lambda signal_number, frame: destroy())
program = ArgumentParser(formatter_class = lambda prog: HelpFormatter(prog, max_help_position = 200), add_help = False)
# general
program.add_argument('-c', '--config', help = wording.get('help.config'), dest = 'config_path', default = 'facefusion.ini')
apply_config(program)
program.add_argument('-s', '--source', help = wording.get('help.source'), action = 'append', dest = 'source_paths', default = config.get_str_list('general.source_paths'))
program.add_argument('-t', '--target', help = wording.get('help.target'), dest = 'target_path', default = config.get_str_value('general.target_path'))
program.add_argument('-o', '--output', help = wording.get('help.output'), dest = 'output_path', default = config.get_str_value('general.output_path'))
program.add_argument('-v', '--version', version = metadata.get('name') + ' ' + metadata.get('version'), action = 'version')
# misc
group_misc = program.add_argument_group('misc')
group_misc.add_argument('--force-download', help = wording.get('help.force_download'), action = 'store_true', default = config.get_bool_value('misc.force_download'))
group_misc.add_argument('--skip-download', help = wording.get('help.skip_download'), action = 'store_true', default = config.get_bool_value('misc.skip_download'))
group_misc.add_argument('--headless', help = wording.get('help.headless'), action = 'store_true', default = config.get_bool_value('misc.headless'))
group_misc.add_argument('--log-level', help = wording.get('help.log_level'), default = config.get_str_value('misc.log_level', 'info'), choices = logger.get_log_levels())
# execution
execution_providers = encode_execution_providers(onnxruntime.get_available_providers())
group_execution = program.add_argument_group('execution')
group_execution.add_argument('--execution-device-id', help = wording.get('help.execution_device_id'), default = config.get_str_value('execution.face_detector_size', '0'))
group_execution.add_argument('--execution-providers', help = wording.get('help.execution_providers').format(choices = ', '.join(execution_providers)), default = config.get_str_list('execution.execution_providers', 'cpu'), choices = execution_providers, nargs = '+', metavar = 'EXECUTION_PROVIDERS')
group_execution.add_argument('--execution-thread-count', help = wording.get('help.execution_thread_count'), type = int, default = config.get_int_value('execution.execution_thread_count', '4'), choices = facefusion.choices.execution_thread_count_range, metavar = create_metavar(facefusion.choices.execution_thread_count_range))
group_execution.add_argument('--execution-queue-count', help = wording.get('help.execution_queue_count'), type = int, default = config.get_int_value('execution.execution_queue_count', '1'), choices = facefusion.choices.execution_queue_count_range, metavar = create_metavar(facefusion.choices.execution_queue_count_range))
# memory
group_memory = program.add_argument_group('memory')
group_memory.add_argument('--video-memory-strategy', help = wording.get('help.video_memory_strategy'), default = config.get_str_value('memory.video_memory_strategy', 'strict'), choices = facefusion.choices.video_memory_strategies)
group_memory.add_argument('--system-memory-limit', help = wording.get('help.system_memory_limit'), type = int, default = config.get_int_value('memory.system_memory_limit', '0'), choices = facefusion.choices.system_memory_limit_range, metavar = create_metavar(facefusion.choices.system_memory_limit_range))
# face analyser
group_face_analyser = program.add_argument_group('face analyser')
group_face_analyser.add_argument('--face-analyser-order', help = wording.get('help.face_analyser_order'), default = config.get_str_value('face_analyser.face_analyser_order', 'left-right'), choices = facefusion.choices.face_analyser_orders)
group_face_analyser.add_argument('--face-analyser-age', help = wording.get('help.face_analyser_age'), default = config.get_str_value('face_analyser.face_analyser_age'), choices = facefusion.choices.face_analyser_ages)
group_face_analyser.add_argument('--face-analyser-gender', help = wording.get('help.face_analyser_gender'), default = config.get_str_value('face_analyser.face_analyser_gender'), choices = facefusion.choices.face_analyser_genders)
group_face_analyser.add_argument('--face-detector-model', help = wording.get('help.face_detector_model'), default = config.get_str_value('face_analyser.face_detector_model', 'yoloface'), choices = facefusion.choices.face_detector_set.keys())
group_face_analyser.add_argument('--face-detector-size', help = wording.get('help.face_detector_size'), default = config.get_str_value('face_analyser.face_detector_size', '640x640'))
group_face_analyser.add_argument('--face-detector-score', help = wording.get('help.face_detector_score'), type = float, default = config.get_float_value('face_analyser.face_detector_score', '0.5'), choices = facefusion.choices.face_detector_score_range, metavar = create_metavar(facefusion.choices.face_detector_score_range))
group_face_analyser.add_argument('--face-landmarker-score', help = wording.get('help.face_landmarker_score'), type = float, default = config.get_float_value('face_analyser.face_landmarker_score', '0.5'), choices = facefusion.choices.face_landmarker_score_range, metavar = create_metavar(facefusion.choices.face_landmarker_score_range))
# face selector
group_face_selector = program.add_argument_group('face selector')
group_face_selector.add_argument('--face-selector-mode', help = wording.get('help.face_selector_mode'), default = config.get_str_value('face_selector.face_selector_mode', 'reference'), choices = facefusion.choices.face_selector_modes)
group_face_selector.add_argument('--reference-face-position', help = wording.get('help.reference_face_position'), type = int, default = config.get_int_value('face_selector.reference_face_position', '0'))
group_face_selector.add_argument('--reference-face-distance', help = wording.get('help.reference_face_distance'), type = float, default = config.get_float_value('face_selector.reference_face_distance', '0.6'), choices = facefusion.choices.reference_face_distance_range, metavar = create_metavar(facefusion.choices.reference_face_distance_range))
group_face_selector.add_argument('--reference-frame-number', help = wording.get('help.reference_frame_number'), type = int, default = config.get_int_value('face_selector.reference_frame_number', '0'))
# face mask
group_face_mask = program.add_argument_group('face mask')
group_face_mask.add_argument('--face-mask-types', help = wording.get('help.face_mask_types').format(choices = ', '.join(facefusion.choices.face_mask_types)), default = config.get_str_list('face_mask.face_mask_types', 'box'), choices = facefusion.choices.face_mask_types, nargs = '+', metavar = 'FACE_MASK_TYPES')
group_face_mask.add_argument('--face-mask-blur', help = wording.get('help.face_mask_blur'), type = float, default = config.get_float_value('face_mask.face_mask_blur', '0.3'), choices = facefusion.choices.face_mask_blur_range, metavar = create_metavar(facefusion.choices.face_mask_blur_range))
group_face_mask.add_argument('--face-mask-padding', help = wording.get('help.face_mask_padding'), type = int, default = config.get_int_list('face_mask.face_mask_padding', '0 0 0 0'), nargs = '+')
group_face_mask.add_argument('--face-mask-regions', help = wording.get('help.face_mask_regions').format(choices = ', '.join(facefusion.choices.face_mask_regions)), default = config.get_str_list('face_mask.face_mask_regions', ' '.join(facefusion.choices.face_mask_regions)), choices = facefusion.choices.face_mask_regions, nargs = '+', metavar = 'FACE_MASK_REGIONS')
# frame extraction
group_frame_extraction = program.add_argument_group('frame extraction')
group_frame_extraction.add_argument('--trim-frame-start', help = wording.get('help.trim_frame_start'), type = int, default = facefusion.config.get_int_value('frame_extraction.trim_frame_start'))
group_frame_extraction.add_argument('--trim-frame-end', help = wording.get('help.trim_frame_end'), type = int, default = facefusion.config.get_int_value('frame_extraction.trim_frame_end'))
group_frame_extraction.add_argument('--temp-frame-format', help = wording.get('help.temp_frame_format'), default = config.get_str_value('frame_extraction.temp_frame_format', 'png'), choices = facefusion.choices.temp_frame_formats)
group_frame_extraction.add_argument('--keep-temp', help = wording.get('help.keep_temp'), action = 'store_true', default = config.get_bool_value('frame_extraction.keep_temp'))
# output creation
group_output_creation = program.add_argument_group('output creation')
group_output_creation.add_argument('--output-image-quality', help = wording.get('help.output_image_quality'), type = int, default = config.get_int_value('output_creation.output_image_quality', '80'), choices = facefusion.choices.output_image_quality_range, metavar = create_metavar(facefusion.choices.output_image_quality_range))
group_output_creation.add_argument('--output-image-resolution', help = wording.get('help.output_image_resolution'), default = config.get_str_value('output_creation.output_image_resolution'))
group_output_creation.add_argument('--output-video-encoder', help = wording.get('help.output_video_encoder'), default = config.get_str_value('output_creation.output_video_encoder', 'libx264'), choices = facefusion.choices.output_video_encoders)
group_output_creation.add_argument('--output-video-preset', help = wording.get('help.output_video_preset'), default = config.get_str_value('output_creation.output_video_preset', 'veryfast'), choices = facefusion.choices.output_video_presets)
group_output_creation.add_argument('--output-video-quality', help = wording.get('help.output_video_quality'), type = int, default = config.get_int_value('output_creation.output_video_quality', '80'), choices = facefusion.choices.output_video_quality_range, metavar = create_metavar(facefusion.choices.output_video_quality_range))
group_output_creation.add_argument('--output-video-resolution', help = wording.get('help.output_video_resolution'), default = config.get_str_value('output_creation.output_video_resolution'))
group_output_creation.add_argument('--output-video-fps', help = wording.get('help.output_video_fps'), type = float, default = config.get_str_value('output_creation.output_video_fps'))
group_output_creation.add_argument('--skip-audio', help = wording.get('help.skip_audio'), action = 'store_true', default = config.get_bool_value('output_creation.skip_audio'))
# frame processors
available_frame_processors = list_directory('facefusion/processors/frame/modules')
program = ArgumentParser(parents = [ program ], formatter_class = program.formatter_class, add_help = True)
group_frame_processors = program.add_argument_group('frame processors')
group_frame_processors.add_argument('--frame-processors', help = wording.get('help.frame_processors').format(choices = ', '.join(available_frame_processors)), default = config.get_str_list('frame_processors.frame_processors', 'face_swapper'), nargs = '+')
for frame_processor in available_frame_processors:
frame_processor_module = load_frame_processor_module(frame_processor)
frame_processor_module.register_args(group_frame_processors)
# uis
available_ui_layouts = list_directory('facefusion/uis/layouts')
group_uis = program.add_argument_group('uis')
group_uis.add_argument('--open-browser', help=wording.get('help.open_browser'), action = 'store_true', default = config.get_bool_value('uis.open_browser'))
group_uis.add_argument('--ui-layouts', help = wording.get('help.ui_layouts').format(choices = ', '.join(available_ui_layouts)), default = config.get_str_list('uis.ui_layouts', 'default'), nargs = '+')
run(program)
def apply_config(program : ArgumentParser) -> None:
known_args = program.parse_known_args()
facefusion.globals.config_path = get_first(known_args).config_path
def validate_args(program : ArgumentParser) -> None:
try:
for action in program._actions:
if action.default:
if isinstance(action.default, list):
for default in action.default:
program._check_value(action, default)
else:
program._check_value(action, action.default)
except Exception as exception:
program.error(str(exception))
def apply_args(program : ArgumentParser) -> None:
args = program.parse_args()
# general
facefusion.globals.source_paths = args.source_paths
facefusion.globals.target_path = args.target_path
facefusion.globals.output_path = args.output_path
# misc
facefusion.globals.force_download = args.force_download
facefusion.globals.skip_download = args.skip_download
facefusion.globals.headless = args.headless
facefusion.globals.log_level = args.log_level
# execution
facefusion.globals.execution_device_id = args.execution_device_id
facefusion.globals.execution_providers = decode_execution_providers(args.execution_providers)
facefusion.globals.execution_thread_count = args.execution_thread_count
facefusion.globals.execution_queue_count = args.execution_queue_count
# memory
facefusion.globals.video_memory_strategy = args.video_memory_strategy
facefusion.globals.system_memory_limit = args.system_memory_limit
# face analyser
facefusion.globals.face_analyser_order = args.face_analyser_order
facefusion.globals.face_analyser_age = args.face_analyser_age
facefusion.globals.face_analyser_gender = args.face_analyser_gender
facefusion.globals.face_detector_model = args.face_detector_model
if args.face_detector_size in facefusion.choices.face_detector_set[args.face_detector_model]:
facefusion.globals.face_detector_size = args.face_detector_size
else:
facefusion.globals.face_detector_size = '640x640'
facefusion.globals.face_detector_score = args.face_detector_score
facefusion.globals.face_landmarker_score = args.face_landmarker_score
# face selector
facefusion.globals.face_selector_mode = args.face_selector_mode
facefusion.globals.reference_face_position = args.reference_face_position
facefusion.globals.reference_face_distance = args.reference_face_distance
facefusion.globals.reference_frame_number = args.reference_frame_number
# face mask
facefusion.globals.face_mask_types = args.face_mask_types
facefusion.globals.face_mask_blur = args.face_mask_blur
facefusion.globals.face_mask_padding = normalize_padding(args.face_mask_padding)
facefusion.globals.face_mask_regions = args.face_mask_regions
# frame extraction
facefusion.globals.trim_frame_start = args.trim_frame_start
facefusion.globals.trim_frame_end = args.trim_frame_end
facefusion.globals.temp_frame_format = args.temp_frame_format
facefusion.globals.keep_temp = args.keep_temp
# output creation
facefusion.globals.output_image_quality = args.output_image_quality
if is_image(args.target_path):
output_image_resolution = detect_image_resolution(args.target_path)
output_image_resolutions = create_image_resolutions(output_image_resolution)
if args.output_image_resolution in output_image_resolutions:
facefusion.globals.output_image_resolution = args.output_image_resolution
else:
facefusion.globals.output_image_resolution = pack_resolution(output_image_resolution)
facefusion.globals.output_video_encoder = args.output_video_encoder
facefusion.globals.output_video_preset = args.output_video_preset
facefusion.globals.output_video_quality = args.output_video_quality
if is_video(args.target_path):
output_video_resolution = detect_video_resolution(args.target_path)
output_video_resolutions = create_video_resolutions(output_video_resolution)
if args.output_video_resolution in output_video_resolutions:
facefusion.globals.output_video_resolution = args.output_video_resolution
else:
facefusion.globals.output_video_resolution = pack_resolution(output_video_resolution)
if args.output_video_fps or is_video(args.target_path):
facefusion.globals.output_video_fps = normalize_fps(args.output_video_fps) or detect_video_fps(args.target_path)
facefusion.globals.skip_audio = args.skip_audio
# frame processors
available_frame_processors = list_directory('facefusion/processors/frame/modules')
facefusion.globals.frame_processors = args.frame_processors
for frame_processor in available_frame_processors:
frame_processor_module = load_frame_processor_module(frame_processor)
frame_processor_module.apply_args(program)
# uis
facefusion.globals.open_browser = args.open_browser
facefusion.globals.ui_layouts = args.ui_layouts
def run(program : ArgumentParser) -> None:
validate_args(program)
apply_args(program)
logger.init(facefusion.globals.log_level)
if facefusion.globals.system_memory_limit > 0:
limit_system_memory(facefusion.globals.system_memory_limit)
if facefusion.globals.force_download:
force_download()
return
if not pre_check() or not content_analyser.pre_check() or not face_analyser.pre_check() or not face_masker.pre_check() or not voice_extractor.pre_check():
return
for frame_processor_module in get_frame_processors_modules(facefusion.globals.frame_processors):
if not frame_processor_module.pre_check():
return
if facefusion.globals.headless:
conditional_process()
else:
import facefusion.uis.core as ui
for ui_layout in ui.get_ui_layouts_modules(facefusion.globals.ui_layouts):
if not ui_layout.pre_check():
return
ui.launch()
def destroy() -> None:
process_manager.stop()
while process_manager.is_processing():
sleep(0.5)
if facefusion.globals.target_path:
clear_temp(facefusion.globals.target_path)
sys.exit(0)
def pre_check() -> bool:
if sys.version_info < (3, 9):
logger.error(wording.get('python_not_supported').format(version = '3.9'), __name__.upper())
return False
if not shutil.which('ffmpeg'):
logger.error(wording.get('ffmpeg_not_installed'), __name__.upper())
return False
return True
def conditional_process() -> None:
start_time = time()
for frame_processor_module in get_frame_processors_modules(facefusion.globals.frame_processors):
while not frame_processor_module.post_check():
logger.disable()
sleep(0.5)
logger.enable()
if not frame_processor_module.pre_process('output'):
return
conditional_append_reference_faces()
if is_image(facefusion.globals.target_path):
process_image(start_time)
if is_video(facefusion.globals.target_path):
process_video(start_time)
def conditional_append_reference_faces() -> None:
if 'reference' in facefusion.globals.face_selector_mode and not get_reference_faces():
source_frames = read_static_images(facefusion.globals.source_paths)
source_face = get_average_face(source_frames)
if is_video(facefusion.globals.target_path):
reference_frame = get_video_frame(facefusion.globals.target_path, facefusion.globals.reference_frame_number)
else:
reference_frame = read_image(facefusion.globals.target_path)
reference_face = get_one_face(reference_frame, facefusion.globals.reference_face_position)
append_reference_face('origin', reference_face)
if source_face and reference_face:
for frame_processor_module in get_frame_processors_modules(facefusion.globals.frame_processors):
abstract_reference_frame = frame_processor_module.get_reference_frame(source_face, reference_face, reference_frame)
if numpy.any(abstract_reference_frame):
reference_frame = abstract_reference_frame
reference_face = get_one_face(reference_frame, facefusion.globals.reference_face_position)
append_reference_face(frame_processor_module.__name__, reference_face)
def force_download() -> None:
download_directory_path = resolve_relative_path('../.assets/models')
available_frame_processors = list_directory('facefusion/processors/frame/modules')
model_list =\
[
content_analyser.MODELS,
face_analyser.MODELS,
face_masker.MODELS,
voice_extractor.MODELS
]
for frame_processor_module in get_frame_processors_modules(available_frame_processors):
if hasattr(frame_processor_module, 'MODELS'):
model_list.append(frame_processor_module.MODELS)
model_urls = [ models[model].get('url') for models in model_list for model in models ]
conditional_download(download_directory_path, model_urls)
def process_image(start_time : float) -> None:
normed_output_path = normalize_output_path(facefusion.globals.target_path, facefusion.globals.output_path)
if analyse_image(facefusion.globals.target_path):
return
# clear temp
logger.debug(wording.get('clearing_temp'), __name__.upper())
clear_temp(facefusion.globals.target_path)
# create temp
logger.debug(wording.get('creating_temp'), __name__.upper())
create_temp(facefusion.globals.target_path)
# copy image
process_manager.start()
temp_image_resolution = pack_resolution(restrict_image_resolution(facefusion.globals.target_path, unpack_resolution(facefusion.globals.output_image_resolution)))
logger.info(wording.get('copying_image').format(resolution = temp_image_resolution), __name__.upper())
if copy_image(facefusion.globals.target_path, temp_image_resolution):
logger.debug(wording.get('copying_image_succeed'), __name__.upper())
else:
logger.error(wording.get('copying_image_failed'), __name__.upper())
return
# process image
temp_file_path = get_temp_file_path(facefusion.globals.target_path)
for frame_processor_module in get_frame_processors_modules(facefusion.globals.frame_processors):
logger.info(wording.get('processing'), frame_processor_module.NAME)
frame_processor_module.process_image(facefusion.globals.source_paths, temp_file_path, temp_file_path)
frame_processor_module.post_process()
if is_process_stopping():
return
# finalize image
logger.info(wording.get('finalizing_image').format(resolution = facefusion.globals.output_image_resolution), __name__.upper())
if finalize_image(facefusion.globals.target_path, normed_output_path, facefusion.globals.output_image_resolution):
logger.debug(wording.get('finalizing_image_succeed'), __name__.upper())
else:
logger.warn(wording.get('finalizing_image_skipped'), __name__.upper())
# clear temp
logger.debug(wording.get('clearing_temp'), __name__.upper())
clear_temp(facefusion.globals.target_path)
# validate image
if is_image(normed_output_path):
seconds = '{:.2f}'.format((time() - start_time) % 60)
logger.info(wording.get('processing_image_succeed').format(seconds = seconds), __name__.upper())
conditional_log_statistics()
else:
logger.error(wording.get('processing_image_failed'), __name__.upper())
process_manager.end()
def process_video(start_time : float) -> None:
normed_output_path = normalize_output_path(facefusion.globals.target_path, facefusion.globals.output_path)
if analyse_video(facefusion.globals.target_path, facefusion.globals.trim_frame_start, facefusion.globals.trim_frame_end):
return
# clear temp
logger.debug(wording.get('clearing_temp'), __name__.upper())
clear_temp(facefusion.globals.target_path)
# create temp
logger.debug(wording.get('creating_temp'), __name__.upper())
create_temp(facefusion.globals.target_path)
# extract frames
process_manager.start()
temp_video_resolution = pack_resolution(restrict_video_resolution(facefusion.globals.target_path, unpack_resolution(facefusion.globals.output_video_resolution)))
temp_video_fps = restrict_video_fps(facefusion.globals.target_path, facefusion.globals.output_video_fps)
logger.info(wording.get('extracting_frames').format(resolution = temp_video_resolution, fps = temp_video_fps), __name__.upper())
if extract_frames(facefusion.globals.target_path, temp_video_resolution, temp_video_fps):
logger.debug(wording.get('extracting_frames_succeed'), __name__.upper())
else:
if is_process_stopping():
return
logger.error(wording.get('extracting_frames_failed'), __name__.upper())
return
# process frames
temp_frame_paths = get_temp_frame_paths(facefusion.globals.target_path)
if temp_frame_paths:
for frame_processor_module in get_frame_processors_modules(facefusion.globals.frame_processors):
logger.info(wording.get('processing'), frame_processor_module.NAME)
frame_processor_module.process_video(facefusion.globals.source_paths, temp_frame_paths)
frame_processor_module.post_process()
if is_process_stopping():
return
else:
logger.error(wording.get('temp_frames_not_found'), __name__.upper())
return
# merge video
logger.info(wording.get('merging_video').format(resolution = facefusion.globals.output_video_resolution, fps = facefusion.globals.output_video_fps), __name__.upper())
if merge_video(facefusion.globals.target_path, facefusion.globals.output_video_resolution, facefusion.globals.output_video_fps):
logger.debug(wording.get('merging_video_succeed'), __name__.upper())
else:
if is_process_stopping():
return
logger.error(wording.get('merging_video_failed'), __name__.upper())
return
# handle audio
if facefusion.globals.skip_audio:
logger.info(wording.get('skipping_audio'), __name__.upper())
move_temp(facefusion.globals.target_path, normed_output_path)
else:
if 'lip_syncer' in facefusion.globals.frame_processors:
source_audio_path = get_first(filter_audio_paths(facefusion.globals.source_paths))
if source_audio_path and replace_audio(facefusion.globals.target_path, source_audio_path, normed_output_path):
logger.debug(wording.get('restoring_audio_succeed'), __name__.upper())
else:
if is_process_stopping():
return
logger.warn(wording.get('restoring_audio_skipped'), __name__.upper())
move_temp(facefusion.globals.target_path, normed_output_path)
else:
if restore_audio(facefusion.globals.target_path, normed_output_path, facefusion.globals.output_video_fps):
logger.debug(wording.get('restoring_audio_succeed'), __name__.upper())
else:
if is_process_stopping():
return
logger.warn(wording.get('restoring_audio_skipped'), __name__.upper())
move_temp(facefusion.globals.target_path, normed_output_path)
# clear temp
logger.debug(wording.get('clearing_temp'), __name__.upper())
clear_temp(facefusion.globals.target_path)
# validate video
if is_video(normed_output_path):
seconds = '{:.2f}'.format((time() - start_time))
logger.info(wording.get('processing_video_succeed').format(seconds = seconds), __name__.upper())
conditional_log_statistics()
else:
logger.error(wording.get('processing_video_failed'), __name__.upper())
process_manager.end()
def is_process_stopping() -> bool:
if process_manager.is_stopping():
process_manager.end()
logger.info(wording.get('processing_stopped'), __name__.upper())
return process_manager.is_pending()
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