mirror of
https://github.com/facefusion/facefusion.git
synced 2026-05-27 16:12:25 +02:00
Henry Ruhs
228febd73b
* Remove insightface dependency * Fix urllib * Some fixes * Analyse based on matches * Analyse based on rate * Fix CI * Migrate to Yunet * Something is off here * We indeed need semaphore for yunet * Normalize the normed_embedding * Fix download of models * Fix download of models * Fix download of models * Add score and improve affine_matrix * Temp fix for bbox out of frame * Temp fix for bbox out of frame * ROCM and OpenVINO mapping for torch backends * Normalize bbox * Implement gender age * Cosmetics on cli args * Prevent face jumping * Fix the paste back speed * FIx import * Introduce detection size
245 lines
14 KiB
Python
Executable File
245 lines
14 KiB
Python
Executable File
import os
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os.environ['OMP_NUM_THREADS'] = '1'
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os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
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import signal
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import sys
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import warnings
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import platform
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import shutil
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import onnxruntime
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from argparse import ArgumentParser, HelpFormatter
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import facefusion.choices
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import facefusion.globals
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from facefusion import face_analyser, predictor, metadata, wording
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from facefusion.predictor import predict_image, predict_video
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from facefusion.processors.frame.core import get_frame_processors_modules, load_frame_processor_module
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from facefusion.utilities import is_image, is_video, detect_fps, compress_image, merge_video, extract_frames, get_temp_frame_paths, restore_audio, create_temp, move_temp, clear_temp, list_module_names, encode_execution_providers, decode_execution_providers, normalize_output_path, update_status
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warnings.filterwarnings('ignore', category = FutureWarning, module = 'insightface')
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warnings.filterwarnings('ignore', category = UserWarning, module = 'torchvision')
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def cli() -> None:
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signal.signal(signal.SIGINT, lambda signal_number, frame: destroy())
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program = ArgumentParser(formatter_class = lambda prog: HelpFormatter(prog, max_help_position = 120), add_help = False)
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# general
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program.add_argument('-s', '--source', help = wording.get('source_help'), dest = 'source_path')
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program.add_argument('-t', '--target', help = wording.get('target_help'), dest = 'target_path')
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program.add_argument('-o', '--output', help = wording.get('output_help'), dest = 'output_path')
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program.add_argument('-v', '--version', version = metadata.get('name') + ' ' + metadata.get('version'), action = 'version')
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# misc
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group_misc = program.add_argument_group('misc')
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group_misc.add_argument('--skip-download', help = wording.get('skip_download_help'), dest = 'skip_download', action = 'store_true')
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group_misc.add_argument('--headless', help = wording.get('headless_help'), dest = 'headless', action = 'store_true')
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# execution
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group_execution = program.add_argument_group('execution')
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group_execution.add_argument('--execution-providers', help = wording.get('execution_providers_help').format(choices = 'cpu'), dest = 'execution_providers', default = [ 'cpu' ], choices = encode_execution_providers(onnxruntime.get_available_providers()), nargs = '+')
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group_execution.add_argument('--execution-thread-count', help = wording.get('execution_thread_count_help'), dest = 'execution_thread_count', type = int, default = 1)
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group_execution.add_argument('--execution-queue-count', help = wording.get('execution_queue_count_help'), dest = 'execution_queue_count', type = int, default = 1)
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group_execution.add_argument('--max-memory', help=wording.get('max_memory_help'), dest='max_memory', type = int)
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# face recognition
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group_face_recognition = program.add_argument_group('face recognition')
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group_face_recognition.add_argument('--face-recognition', help = wording.get('face_recognition_help'), dest = 'face_recognition', default = 'reference', choices = facefusion.choices.face_recognitions)
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group_face_recognition.add_argument('--face-analyser-direction', help = wording.get('face_analyser_direction_help'), dest = 'face_analyser_direction', default = 'left-right', choices = facefusion.choices.face_analyser_directions)
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group_face_recognition.add_argument('--face-analyser-age', help = wording.get('face_analyser_age_help'), dest = 'face_analyser_age', choices = facefusion.choices.face_analyser_ages)
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group_face_recognition.add_argument('--face-analyser-gender', help = wording.get('face_analyser_gender_help'), dest = 'face_analyser_gender', choices = facefusion.choices.face_analyser_genders)
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group_face_recognition.add_argument('--reference-face-position', help = wording.get('reference_face_position_help'), dest = 'reference_face_position', type = int, default = 0)
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group_face_recognition.add_argument('--reference-face-distance', help = wording.get('reference_face_distance_help'), dest = 'reference_face_distance', type = float, default = 0.6)
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group_face_recognition.add_argument('--reference-frame-number', help = wording.get('reference_frame_number_help'), dest = 'reference_frame_number', type = int, default = 0)
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# frame extraction
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group_frame_extraction = program.add_argument_group('frame extraction')
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group_frame_extraction.add_argument('--trim-frame-start', help = wording.get('trim_frame_start_help'), dest = 'trim_frame_start', type = int)
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group_frame_extraction.add_argument('--trim-frame-end', help = wording.get('trim_frame_end_help'), dest = 'trim_frame_end', type = int)
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group_frame_extraction.add_argument('--temp-frame-format', help = wording.get('temp_frame_format_help'), dest = 'temp_frame_format', default = 'jpg', choices = facefusion.choices.temp_frame_formats)
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group_frame_extraction.add_argument('--temp-frame-quality', help = wording.get('temp_frame_quality_help'), dest = 'temp_frame_quality', type = int, default = 100, choices = range(101), metavar = '[0-100]')
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group_frame_extraction.add_argument('--keep-temp', help = wording.get('keep_temp_help'), dest = 'keep_temp', action = 'store_true')
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# output creation
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group_output_creation = program.add_argument_group('output creation')
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group_output_creation.add_argument('--output-image-quality', help=wording.get('output_image_quality_help'), dest = 'output_image_quality', type = int, default = 80, choices = range(101), metavar = '[0-100]')
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group_output_creation.add_argument('--output-video-encoder', help = wording.get('output_video_encoder_help'), dest = 'output_video_encoder', default = 'libx264', choices = facefusion.choices.output_video_encoders)
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group_output_creation.add_argument('--output-video-quality', help = wording.get('output_video_quality_help'), dest = 'output_video_quality', type = int, default = 80, choices = range(101), metavar = '[0-100]')
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group_output_creation.add_argument('--keep-fps', help = wording.get('keep_fps_help'), dest = 'keep_fps', action = 'store_true')
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group_output_creation.add_argument('--skip-audio', help = wording.get('skip_audio_help'), dest = 'skip_audio', action = 'store_true')
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# frame processors
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available_frame_processors = list_module_names('facefusion/processors/frame/modules')
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program = ArgumentParser(parents = [ program ], formatter_class = program.formatter_class, add_help = True)
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group_frame_processors = program.add_argument_group('frame processors')
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group_frame_processors.add_argument('--frame-processors', help = wording.get('frame_processors_help').format(choices = ', '.join(available_frame_processors)), dest = 'frame_processors', default = [ 'face_swapper' ], nargs = '+')
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for frame_processor in available_frame_processors:
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frame_processor_module = load_frame_processor_module(frame_processor)
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frame_processor_module.register_args(group_frame_processors)
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# uis
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group_uis = program.add_argument_group('uis')
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group_uis.add_argument('--ui-layouts', help = wording.get('ui_layouts_help').format(choices = ', '.join(list_module_names('facefusion/uis/layouts'))), dest = 'ui_layouts', default = [ 'default' ], nargs = '+')
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run(program)
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def apply_args(program : ArgumentParser) -> None:
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args = program.parse_args()
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# general
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facefusion.globals.source_path = args.source_path
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facefusion.globals.target_path = args.target_path
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facefusion.globals.output_path = normalize_output_path(facefusion.globals.source_path, facefusion.globals.target_path, args.output_path)
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# misc
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facefusion.globals.skip_download = args.skip_download
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facefusion.globals.headless = args.headless
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# execution
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facefusion.globals.execution_providers = decode_execution_providers(args.execution_providers)
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facefusion.globals.execution_thread_count = args.execution_thread_count
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facefusion.globals.execution_queue_count = args.execution_queue_count
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facefusion.globals.max_memory = args.max_memory
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# face recognition
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facefusion.globals.face_recognition = args.face_recognition
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facefusion.globals.face_analyser_direction = args.face_analyser_direction
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facefusion.globals.face_analyser_age = args.face_analyser_age
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facefusion.globals.face_analyser_gender = args.face_analyser_gender
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facefusion.globals.reference_face_position = args.reference_face_position
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facefusion.globals.reference_face_distance = args.reference_face_distance
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facefusion.globals.reference_frame_number = args.reference_frame_number
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# frame extraction
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facefusion.globals.trim_frame_start = args.trim_frame_start
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facefusion.globals.trim_frame_end = args.trim_frame_end
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facefusion.globals.temp_frame_format = args.temp_frame_format
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facefusion.globals.temp_frame_quality = args.temp_frame_quality
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facefusion.globals.keep_temp = args.keep_temp
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# output creation
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facefusion.globals.output_image_quality = args.output_image_quality
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facefusion.globals.output_video_encoder = args.output_video_encoder
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facefusion.globals.output_video_quality = args.output_video_quality
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facefusion.globals.keep_fps = args.keep_fps
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facefusion.globals.skip_audio = args.skip_audio
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# frame processors
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available_frame_processors = list_module_names('facefusion/processors/frame/modules')
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facefusion.globals.frame_processors = args.frame_processors
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for frame_processor in available_frame_processors:
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frame_processor_module = load_frame_processor_module(frame_processor)
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frame_processor_module.apply_args(program)
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# uis
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facefusion.globals.ui_layouts = args.ui_layouts
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def run(program : ArgumentParser) -> None:
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apply_args(program)
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limit_resources()
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if not pre_check() or not predictor.pre_check() or not face_analyser.pre_check():
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return
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for frame_processor_module in get_frame_processors_modules(facefusion.globals.frame_processors):
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if not frame_processor_module.pre_check():
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return
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if facefusion.globals.headless:
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conditional_process()
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else:
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import facefusion.uis.core as ui
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for ui_layout in ui.get_ui_layouts_modules(facefusion.globals.ui_layouts):
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if not ui_layout.pre_check():
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return
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ui.launch()
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def destroy() -> None:
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if facefusion.globals.target_path:
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clear_temp(facefusion.globals.target_path)
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sys.exit()
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def limit_resources() -> None:
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if facefusion.globals.max_memory:
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memory = facefusion.globals.max_memory * 1024 ** 3
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if platform.system().lower() == 'darwin':
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memory = facefusion.globals.max_memory * 1024 ** 6
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if platform.system().lower() == 'windows':
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import ctypes
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kernel32 = ctypes.windll.kernel32 # type: ignore[attr-defined]
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kernel32.SetProcessWorkingSetSize(-1, ctypes.c_size_t(memory), ctypes.c_size_t(memory))
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else:
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import resource
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resource.setrlimit(resource.RLIMIT_DATA, (memory, memory))
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def pre_check() -> bool:
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if sys.version_info < (3, 9):
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update_status(wording.get('python_not_supported').format(version = '3.9'))
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return False
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if not shutil.which('ffmpeg'):
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update_status(wording.get('ffmpeg_not_installed'))
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return False
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return True
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def conditional_process() -> None:
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for frame_processor_module in get_frame_processors_modules(facefusion.globals.frame_processors):
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if not frame_processor_module.pre_process('output'):
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return
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if is_image(facefusion.globals.target_path):
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process_image()
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if is_video(facefusion.globals.target_path):
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process_video()
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def process_image() -> None:
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if predict_image(facefusion.globals.target_path):
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return
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shutil.copy2(facefusion.globals.target_path, facefusion.globals.output_path)
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# process frame
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for frame_processor_module in get_frame_processors_modules(facefusion.globals.frame_processors):
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update_status(wording.get('processing'), frame_processor_module.NAME)
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frame_processor_module.process_image(facefusion.globals.source_path, facefusion.globals.output_path, facefusion.globals.output_path)
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frame_processor_module.post_process()
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# compress image
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update_status(wording.get('compressing_image'))
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if not compress_image(facefusion.globals.output_path):
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update_status(wording.get('compressing_image_failed'))
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# validate image
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if is_image(facefusion.globals.target_path):
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update_status(wording.get('processing_image_succeed'))
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else:
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update_status(wording.get('processing_image_failed'))
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def process_video() -> None:
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if predict_video(facefusion.globals.target_path, facefusion.globals.trim_frame_start, facefusion.globals.trim_frame_end):
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return
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fps = detect_fps(facefusion.globals.target_path) if facefusion.globals.keep_fps else 25.0
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# create temp
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update_status(wording.get('creating_temp'))
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create_temp(facefusion.globals.target_path)
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# extract frames
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update_status(wording.get('extracting_frames_fps').format(fps = fps))
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extract_frames(facefusion.globals.target_path, fps)
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# process frame
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temp_frame_paths = get_temp_frame_paths(facefusion.globals.target_path)
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if temp_frame_paths:
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for frame_processor_module in get_frame_processors_modules(facefusion.globals.frame_processors):
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update_status(wording.get('processing'), frame_processor_module.NAME)
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frame_processor_module.process_video(facefusion.globals.source_path, temp_frame_paths)
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frame_processor_module.post_process()
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else:
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update_status(wording.get('temp_frames_not_found'))
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return
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# merge video
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update_status(wording.get('merging_video_fps').format(fps = fps))
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if not merge_video(facefusion.globals.target_path, fps):
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update_status(wording.get('merging_video_failed'))
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return
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# handle audio
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if facefusion.globals.skip_audio:
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update_status(wording.get('skipping_audio'))
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move_temp(facefusion.globals.target_path, facefusion.globals.output_path)
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else:
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update_status(wording.get('restoring_audio'))
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if not restore_audio(facefusion.globals.target_path, facefusion.globals.output_path):
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update_status(wording.get('restoring_audio_failed'))
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move_temp(facefusion.globals.target_path, facefusion.globals.output_path)
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# clear temp
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update_status(wording.get('clearing_temp'))
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clear_temp(facefusion.globals.target_path)
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# validate video
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if is_video(facefusion.globals.target_path):
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update_status(wording.get('processing_video_succeed'))
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else:
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update_status(wording.get('processing_video_failed'))
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