mirror of
https://github.com/lightbatis/DeepLiveCam.git
synced 2024-11-14 21:05:16 +00:00
248 lines
12 KiB
Python
248 lines
12 KiB
Python
import os
|
|
import sys
|
|
# single thread doubles cuda performance - needs to be set before torch import
|
|
if any(arg.startswith('--execution-provider') for arg in sys.argv):
|
|
os.environ['OMP_NUM_THREADS'] = '1'
|
|
# reduce tensorflow log level
|
|
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
|
|
import warnings
|
|
from typing import List
|
|
import platform
|
|
import signal
|
|
import shutil
|
|
import argparse
|
|
import torch
|
|
import onnxruntime
|
|
import tensorflow
|
|
|
|
import modules.globals
|
|
import modules.metadata
|
|
import modules.ui as ui
|
|
from modules.processors.frame.core import get_frame_processors_modules
|
|
from modules.utilities import has_image_extension, is_image, is_video, detect_fps, create_video, extract_frames, get_temp_frame_paths, restore_audio, create_temp, move_temp, clean_temp, normalize_output_path
|
|
|
|
if 'ROCMExecutionProvider' in modules.globals.execution_providers:
|
|
del torch
|
|
|
|
warnings.filterwarnings('ignore', category=FutureWarning, module='insightface')
|
|
warnings.filterwarnings('ignore', category=UserWarning, module='torchvision')
|
|
|
|
|
|
def parse_args() -> None:
|
|
signal.signal(signal.SIGINT, lambda signal_number, frame: destroy())
|
|
program = argparse.ArgumentParser()
|
|
program.add_argument('-s', '--source', help='select an source image', dest='source_path')
|
|
program.add_argument('-t', '--target', help='select an target image or video', dest='target_path')
|
|
program.add_argument('-o', '--output', help='select output file or directory', dest='output_path')
|
|
program.add_argument('--frame-processor', help='pipeline of frame processors', dest='frame_processor', default=['face_swapper'], choices=['face_swapper', 'face_enhancer'], nargs='+')
|
|
program.add_argument('--keep-fps', help='keep original fps', dest='keep_fps', action='store_true', default=False)
|
|
program.add_argument('--keep-audio', help='keep original audio', dest='keep_audio', action='store_true', default=True)
|
|
program.add_argument('--keep-frames', help='keep temporary frames', dest='keep_frames', action='store_true', default=False)
|
|
program.add_argument('--many-faces', help='process every face', dest='many_faces', action='store_true', default=False)
|
|
program.add_argument('--video-encoder', help='adjust output video encoder', dest='video_encoder', default='libx264', choices=['libx264', 'libx265', 'libvpx-vp9'])
|
|
program.add_argument('--video-quality', help='adjust output video quality', dest='video_quality', type=int, default=18, choices=range(52), metavar='[0-51]')
|
|
program.add_argument('--max-memory', help='maximum amount of RAM in GB', dest='max_memory', type=int, default=suggest_max_memory())
|
|
program.add_argument('--execution-provider', help='execution provider', dest='execution_provider', default=['cpu'], choices=suggest_execution_providers(), nargs='+')
|
|
program.add_argument('--execution-threads', help='number of execution threads', dest='execution_threads', type=int, default=suggest_execution_threads())
|
|
program.add_argument('-v', '--version', action='version', version=f'{modules.metadata.name} {modules.metadata.version}')
|
|
|
|
# register deprecated args
|
|
program.add_argument('-f', '--face', help=argparse.SUPPRESS, dest='source_path_deprecated')
|
|
program.add_argument('--cpu-cores', help=argparse.SUPPRESS, dest='cpu_cores_deprecated', type=int)
|
|
program.add_argument('--gpu-vendor', help=argparse.SUPPRESS, dest='gpu_vendor_deprecated')
|
|
program.add_argument('--gpu-threads', help=argparse.SUPPRESS, dest='gpu_threads_deprecated', type=int)
|
|
|
|
args = program.parse_args()
|
|
|
|
modules.globals.source_path = args.source_path
|
|
modules.globals.target_path = args.target_path
|
|
modules.globals.output_path = normalize_output_path(modules.globals.source_path, modules.globals.target_path, args.output_path)
|
|
modules.globals.frame_processors = args.frame_processor
|
|
modules.globals.headless = args.source_path or args.target_path or args.output_path
|
|
modules.globals.keep_fps = args.keep_fps
|
|
modules.globals.keep_audio = args.keep_audio
|
|
modules.globals.keep_frames = args.keep_frames
|
|
modules.globals.many_faces = args.many_faces
|
|
modules.globals.video_encoder = args.video_encoder
|
|
modules.globals.video_quality = args.video_quality
|
|
modules.globals.max_memory = args.max_memory
|
|
modules.globals.execution_providers = decode_execution_providers(args.execution_provider)
|
|
modules.globals.execution_threads = args.execution_threads
|
|
|
|
#for ENHANCER tumbler:
|
|
if 'face_enhancer' in args.frame_processor:
|
|
modules.globals.fp_ui['face_enhancer'] = True
|
|
else:
|
|
modules.globals.fp_ui['face_enhancer'] = False
|
|
|
|
modules.globals.nsfw = False
|
|
|
|
# translate deprecated args
|
|
if args.source_path_deprecated:
|
|
print('\033[33mArgument -f and --face are deprecated. Use -s and --source instead.\033[0m')
|
|
modules.globals.source_path = args.source_path_deprecated
|
|
modules.globals.output_path = normalize_output_path(args.source_path_deprecated, modules.globals.target_path, args.output_path)
|
|
if args.cpu_cores_deprecated:
|
|
print('\033[33mArgument --cpu-cores is deprecated. Use --execution-threads instead.\033[0m')
|
|
modules.globals.execution_threads = args.cpu_cores_deprecated
|
|
if args.gpu_vendor_deprecated == 'apple':
|
|
print('\033[33mArgument --gpu-vendor apple is deprecated. Use --execution-provider coreml instead.\033[0m')
|
|
modules.globals.execution_providers = decode_execution_providers(['coreml'])
|
|
if args.gpu_vendor_deprecated == 'nvidia':
|
|
print('\033[33mArgument --gpu-vendor nvidia is deprecated. Use --execution-provider cuda instead.\033[0m')
|
|
modules.globals.execution_providers = decode_execution_providers(['cuda'])
|
|
if args.gpu_vendor_deprecated == 'amd':
|
|
print('\033[33mArgument --gpu-vendor amd is deprecated. Use --execution-provider cuda instead.\033[0m')
|
|
modules.globals.execution_providers = decode_execution_providers(['rocm'])
|
|
if args.gpu_threads_deprecated:
|
|
print('\033[33mArgument --gpu-threads is deprecated. Use --execution-threads instead.\033[0m')
|
|
modules.globals.execution_threads = args.gpu_threads_deprecated
|
|
|
|
|
|
def encode_execution_providers(execution_providers: List[str]) -> List[str]:
|
|
return [execution_provider.replace('ExecutionProvider', '').lower() for execution_provider in execution_providers]
|
|
|
|
|
|
def decode_execution_providers(execution_providers: List[str]) -> List[str]:
|
|
return [provider for provider, encoded_execution_provider in zip(onnxruntime.get_available_providers(), encode_execution_providers(onnxruntime.get_available_providers()))
|
|
if any(execution_provider in encoded_execution_provider for execution_provider in execution_providers)]
|
|
|
|
|
|
def suggest_max_memory() -> int:
|
|
if platform.system().lower() == 'darwin':
|
|
return 4
|
|
return 16
|
|
|
|
|
|
def suggest_execution_providers() -> List[str]:
|
|
return encode_execution_providers(onnxruntime.get_available_providers())
|
|
|
|
|
|
def suggest_execution_threads() -> int:
|
|
if 'DmlExecutionProvider' in modules.globals.execution_providers:
|
|
return 1
|
|
if 'ROCMExecutionProvider' in modules.globals.execution_providers:
|
|
return 1
|
|
return 8
|
|
|
|
|
|
def limit_resources() -> None:
|
|
# prevent tensorflow memory leak
|
|
gpus = tensorflow.config.experimental.list_physical_devices('GPU')
|
|
for gpu in gpus:
|
|
tensorflow.config.experimental.set_memory_growth(gpu, True)
|
|
# limit memory usage
|
|
if modules.globals.max_memory:
|
|
memory = modules.globals.max_memory * 1024 ** 3
|
|
if platform.system().lower() == 'darwin':
|
|
memory = modules.globals.max_memory * 1024 ** 6
|
|
if platform.system().lower() == 'windows':
|
|
import ctypes
|
|
kernel32 = ctypes.windll.kernel32
|
|
kernel32.SetProcessWorkingSetSize(-1, ctypes.c_size_t(memory), ctypes.c_size_t(memory))
|
|
else:
|
|
import resource
|
|
resource.setrlimit(resource.RLIMIT_DATA, (memory, memory))
|
|
|
|
|
|
def release_resources() -> None:
|
|
if 'CUDAExecutionProvider' in modules.globals.execution_providers:
|
|
torch.cuda.empty_cache()
|
|
|
|
|
|
def pre_check() -> bool:
|
|
if sys.version_info < (3, 9):
|
|
update_status('Python version is not supported - please upgrade to 3.9 or higher.')
|
|
return False
|
|
if not shutil.which('ffmpeg'):
|
|
update_status('ffmpeg is not installed.')
|
|
return False
|
|
return True
|
|
|
|
|
|
def update_status(message: str, scope: str = 'DLC.CORE') -> None:
|
|
print(f'[{scope}] {message}')
|
|
if not modules.globals.headless:
|
|
ui.update_status(message)
|
|
|
|
|
|
def start() -> None:
|
|
for frame_processor in get_frame_processors_modules(modules.globals.frame_processors):
|
|
if not frame_processor.pre_start():
|
|
return
|
|
# process image to image
|
|
if has_image_extension(modules.globals.target_path):
|
|
if modules.globals.nsfw == False:
|
|
from modules.predicter import predict_image
|
|
if predict_image(modules.globals.target_path):
|
|
destroy()
|
|
shutil.copy2(modules.globals.target_path, modules.globals.output_path)
|
|
for frame_processor in get_frame_processors_modules(modules.globals.frame_processors):
|
|
update_status('Progressing...', frame_processor.NAME)
|
|
frame_processor.process_image(modules.globals.source_path, modules.globals.output_path, modules.globals.output_path)
|
|
release_resources()
|
|
if is_image(modules.globals.target_path):
|
|
update_status('Processing to image succeed!')
|
|
else:
|
|
update_status('Processing to image failed!')
|
|
return
|
|
# process image to videos
|
|
if modules.globals.nsfw == False:
|
|
from modules.predicter import predict_video
|
|
if predict_video(modules.globals.target_path):
|
|
destroy()
|
|
update_status('Creating temp resources...')
|
|
create_temp(modules.globals.target_path)
|
|
update_status('Extracting frames...')
|
|
extract_frames(modules.globals.target_path)
|
|
temp_frame_paths = get_temp_frame_paths(modules.globals.target_path)
|
|
for frame_processor in get_frame_processors_modules(modules.globals.frame_processors):
|
|
update_status('Progressing...', frame_processor.NAME)
|
|
frame_processor.process_video(modules.globals.source_path, temp_frame_paths)
|
|
release_resources()
|
|
# handles fps
|
|
if modules.globals.keep_fps:
|
|
update_status('Detecting fps...')
|
|
fps = detect_fps(modules.globals.target_path)
|
|
update_status(f'Creating video with {fps} fps...')
|
|
create_video(modules.globals.target_path, fps)
|
|
else:
|
|
update_status('Creating video with 30.0 fps...')
|
|
create_video(modules.globals.target_path)
|
|
# handle audio
|
|
if modules.globals.keep_audio:
|
|
if modules.globals.keep_fps:
|
|
update_status('Restoring audio...')
|
|
else:
|
|
update_status('Restoring audio might cause issues as fps are not kept...')
|
|
restore_audio(modules.globals.target_path, modules.globals.output_path)
|
|
else:
|
|
move_temp(modules.globals.target_path, modules.globals.output_path)
|
|
# clean and validate
|
|
clean_temp(modules.globals.target_path)
|
|
if is_video(modules.globals.target_path):
|
|
update_status('Processing to video succeed!')
|
|
else:
|
|
update_status('Processing to video failed!')
|
|
|
|
|
|
def destroy() -> None:
|
|
if modules.globals.target_path:
|
|
clean_temp(modules.globals.target_path)
|
|
quit()
|
|
|
|
|
|
def run() -> None:
|
|
parse_args()
|
|
if not pre_check():
|
|
return
|
|
for frame_processor in get_frame_processors_modules(modules.globals.frame_processors):
|
|
if not frame_processor.pre_check():
|
|
return
|
|
limit_resources()
|
|
if modules.globals.headless:
|
|
start()
|
|
else:
|
|
window = ui.init(start, destroy)
|
|
window.mainloop()
|