Spaces:
Runtime error
Runtime error
Update roop/core.py
Browse files- roop/core.py +58 -52
roop/core.py
CHANGED
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@@ -1,4 +1,5 @@
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#!/usr/bin/env python3
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import os
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import sys
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# single thread doubles cuda performance - needs to be set before torch import
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@@ -12,10 +13,8 @@ import platform
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import signal
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import shutil
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import argparse
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import torch
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import onnxruntime
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import tensorflow
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-
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import roop.globals
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import roop.metadata
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import roop.ui as ui
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@@ -23,9 +22,6 @@ from roop.predictor import predict_image, predict_video
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from roop.processors.frame.core import get_frame_processors_modules
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from roop.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
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if 'ROCMExecutionProvider' in roop.globals.execution_providers:
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del torch
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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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@@ -37,13 +33,18 @@ def parse_args() -> None:
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program.add_argument('-t', '--target', help='select an target image or video', dest='target_path')
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program.add_argument('-o', '--output', help='select output file or directory', dest='output_path')
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program.add_argument('--frame-processor', help='frame processors (choices: face_swapper, face_enhancer, ...)', dest='frame_processor', default=['face_swapper'], nargs='+')
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program.add_argument('--keep-fps', help='keep
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program.add_argument('--keep-
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program.add_argument('--
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program.add_argument('--many-faces', help='process every face', dest='many_faces', action='store_true'
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program.add_argument('--
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program.add_argument('--
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program.add_argument('--
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program.add_argument('--execution-provider', help='available execution provider (choices: cpu, ...)', dest='execution_provider', default=['cpu'], choices=suggest_execution_providers(), nargs='+')
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program.add_argument('--execution-threads', help='number of execution threads', dest='execution_threads', type=int, default=suggest_execution_threads())
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program.add_argument('-v', '--version', action='version', version=f'{roop.metadata.name} {roop.metadata.version}')
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@@ -53,14 +54,19 @@ def parse_args() -> None:
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roop.globals.source_path = args.source_path
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roop.globals.target_path = args.target_path
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roop.globals.output_path = normalize_output_path(roop.globals.source_path, roop.globals.target_path, args.output_path)
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roop.globals.frame_processors = args.frame_processor
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roop.globals.headless = args.source_path or args.target_path or args.output_path
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roop.globals.keep_fps = args.keep_fps
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roop.globals.keep_audio = args.keep_audio
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roop.globals.keep_frames = args.keep_frames
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roop.globals.many_faces = args.many_faces
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roop.globals.
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roop.globals.
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roop.globals.max_memory = args.max_memory
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roop.globals.execution_providers = decode_execution_providers(args.execution_provider)
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roop.globals.execution_threads = args.execution_threads
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@@ -75,22 +81,14 @@ def decode_execution_providers(execution_providers: List[str]) -> List[str]:
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if any(execution_provider in encoded_execution_provider for execution_provider in execution_providers)]
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def suggest_max_memory() -> int:
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if platform.system().lower() == 'darwin':
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return 4
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return 16
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-
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def suggest_execution_providers() -> List[str]:
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return encode_execution_providers(onnxruntime.get_available_providers())
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def suggest_execution_threads() -> int:
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if '
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return
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return 1
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return 8
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def limit_resources() -> None:
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@@ -107,18 +105,13 @@ def limit_resources() -> None:
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memory = roop.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
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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 release_resources() -> None:
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if 'CUDAExecutionProvider' in roop.globals.execution_providers:
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torch.cuda.empty_cache()
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def pre_check() -> bool:
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if sys.version_info < (3, 9):
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update_status('Python version is not supported - please upgrade to 3.9 or higher.')
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@@ -144,11 +137,12 @@ def start() -> None:
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if predict_image(roop.globals.target_path):
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destroy()
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shutil.copy2(roop.globals.target_path, roop.globals.output_path)
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for frame_processor in get_frame_processors_modules(roop.globals.frame_processors):
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update_status('Progressing...', frame_processor.NAME)
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frame_processor.process_image(roop.globals.source_path, roop.globals.output_path, roop.globals.output_path)
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frame_processor.post_process()
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-
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if is_image(roop.globals.target_path):
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update_status('Processing to image succeed!')
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else:
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@@ -157,36 +151,48 @@ def start() -> None:
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# process image to videos
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if predict_video(roop.globals.target_path):
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destroy()
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update_status('Creating
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create_temp(roop.globals.target_path)
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temp_frame_paths = get_temp_frame_paths(roop.globals.target_path)
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if roop.globals.keep_fps:
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update_status('Detecting fps...')
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fps = detect_fps(roop.globals.target_path)
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update_status(f'Creating video with {fps}
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create_video(roop.globals.target_path, fps)
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else:
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update_status('Creating video with 30
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create_video(roop.globals.target_path)
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# handle audio
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if roop.globals.
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if roop.globals.keep_fps:
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update_status('Restoring audio...')
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else:
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update_status('Restoring audio might cause issues as fps are not kept...')
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restore_audio(roop.globals.target_path, roop.globals.output_path)
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# clean and validate
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clean_temp(roop.globals.target_path)
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if is_video(roop.globals.target_path):
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update_status('Processing to video succeed!')
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else:
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@@ -196,7 +202,7 @@ def start() -> None:
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def destroy() -> None:
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if roop.globals.target_path:
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clean_temp(roop.globals.target_path)
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def run() -> None:
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start()
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else:
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window = ui.init(start, destroy)
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window.mainloop()
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#!/usr/bin/env python3
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import os
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import sys
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# single thread doubles cuda performance - needs to be set before torch import
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import signal
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import shutil
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import argparse
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import onnxruntime
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import tensorflow
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import roop.globals
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import roop.metadata
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import roop.ui as ui
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from roop.processors.frame.core import get_frame_processors_modules
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from roop.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
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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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program.add_argument('-t', '--target', help='select an target image or video', dest='target_path')
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program.add_argument('-o', '--output', help='select output file or directory', dest='output_path')
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program.add_argument('--frame-processor', help='frame processors (choices: face_swapper, face_enhancer, ...)', dest='frame_processor', default=['face_swapper'], nargs='+')
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program.add_argument('--keep-fps', help='keep target fps', dest='keep_fps', action='store_true')
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program.add_argument('--keep-frames', help='keep temporary frames', dest='keep_frames', action='store_true')
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program.add_argument('--skip-audio', help='skip target audio', dest='skip_audio', action='store_true')
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program.add_argument('--many-faces', help='process every face', dest='many_faces', action='store_true')
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program.add_argument('--reference-face-position', help='position of the reference face', dest='reference_face_position', type=int, default=0)
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program.add_argument('--reference-frame-number', help='number of the reference frame', dest='reference_frame_number', type=int, default=0)
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program.add_argument('--similar-face-distance', help='face distance used for recognition', dest='similar_face_distance', type=float, default=0.85)
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program.add_argument('--temp-frame-format', help='image format used for frame extraction', dest='temp_frame_format', default='png', choices=['jpg', 'png'])
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program.add_argument('--temp-frame-quality', help='image quality used for frame extraction', dest='temp_frame_quality', type=int, default=0, choices=range(101), metavar='[0-100]')
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program.add_argument('--output-video-encoder', help='encoder used for the output video', dest='output_video_encoder', default='libx264', choices=['libx264', 'libx265', 'libvpx-vp9', 'h264_nvenc', 'hevc_nvenc'])
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program.add_argument('--output-video-quality', help='quality used for the output video', dest='output_video_quality', type=int, default=35, choices=range(101), metavar='[0-100]')
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program.add_argument('--max-memory', help='maximum amount of RAM in GB', dest='max_memory', type=int)
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program.add_argument('--execution-provider', help='available execution provider (choices: cpu, ...)', dest='execution_provider', default=['cpu'], choices=suggest_execution_providers(), nargs='+')
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program.add_argument('--execution-threads', help='number of execution threads', dest='execution_threads', type=int, default=suggest_execution_threads())
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program.add_argument('-v', '--version', action='version', version=f'{roop.metadata.name} {roop.metadata.version}')
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roop.globals.source_path = args.source_path
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roop.globals.target_path = args.target_path
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roop.globals.output_path = normalize_output_path(roop.globals.source_path, roop.globals.target_path, args.output_path)
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roop.globals.headless = roop.globals.source_path is not None and roop.globals.target_path is not None and roop.globals.output_path is not None
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roop.globals.frame_processors = args.frame_processor
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roop.globals.keep_fps = args.keep_fps
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roop.globals.keep_frames = args.keep_frames
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roop.globals.skip_audio = args.skip_audio
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roop.globals.many_faces = args.many_faces
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roop.globals.reference_face_position = args.reference_face_position
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roop.globals.reference_frame_number = args.reference_frame_number
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roop.globals.similar_face_distance = args.similar_face_distance
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roop.globals.temp_frame_format = args.temp_frame_format
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roop.globals.temp_frame_quality = args.temp_frame_quality
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roop.globals.output_video_encoder = args.output_video_encoder
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roop.globals.output_video_quality = args.output_video_quality
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roop.globals.max_memory = args.max_memory
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roop.globals.execution_providers = decode_execution_providers(args.execution_provider)
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roop.globals.execution_threads = args.execution_threads
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if any(execution_provider in encoded_execution_provider for execution_provider in execution_providers)]
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def suggest_execution_providers() -> List[str]:
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return encode_execution_providers(onnxruntime.get_available_providers())
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def suggest_execution_threads() -> int:
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if 'CUDAExecutionProvider' in onnxruntime.get_available_providers():
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return 8
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return 1
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def limit_resources() -> None:
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memory = roop.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('Python version is not supported - please upgrade to 3.9 or higher.')
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if predict_image(roop.globals.target_path):
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destroy()
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shutil.copy2(roop.globals.target_path, roop.globals.output_path)
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# process frame
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for frame_processor in get_frame_processors_modules(roop.globals.frame_processors):
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update_status('Progressing...', frame_processor.NAME)
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frame_processor.process_image(roop.globals.source_path, roop.globals.output_path, roop.globals.output_path)
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frame_processor.post_process()
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# validate image
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if is_image(roop.globals.target_path):
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update_status('Processing to image succeed!')
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else:
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# process image to videos
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if predict_video(roop.globals.target_path):
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destroy()
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update_status('Creating temporary resources...')
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create_temp(roop.globals.target_path)
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# extract frames
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if roop.globals.keep_fps:
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fps = detect_fps(roop.globals.target_path)
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update_status(f'Extracting frames with {fps} FPS...')
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extract_frames(roop.globals.target_path, fps)
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else:
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update_status('Extracting frames with 30 FPS...')
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extract_frames(roop.globals.target_path)
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# process frame
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temp_frame_paths = get_temp_frame_paths(roop.globals.target_path)
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if temp_frame_paths:
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for frame_processor in get_frame_processors_modules(roop.globals.frame_processors):
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update_status('Progressing...', frame_processor.NAME)
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frame_processor.process_video(roop.globals.source_path, temp_frame_paths)
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frame_processor.post_process()
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else:
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update_status('Frames not found...')
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return
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# create video
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if roop.globals.keep_fps:
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fps = detect_fps(roop.globals.target_path)
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update_status(f'Creating video with {fps} FPS...')
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create_video(roop.globals.target_path, fps)
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else:
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update_status('Creating video with 30 FPS...')
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create_video(roop.globals.target_path)
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# handle audio
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if roop.globals.skip_audio:
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move_temp(roop.globals.target_path, roop.globals.output_path)
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update_status('Skipping audio...')
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else:
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if roop.globals.keep_fps:
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update_status('Restoring audio...')
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else:
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update_status('Restoring audio might cause issues as fps are not kept...')
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restore_audio(roop.globals.target_path, roop.globals.output_path)
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# clean temp
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update_status('Cleaning temporary resources...')
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clean_temp(roop.globals.target_path)
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# validate video
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if is_video(roop.globals.target_path):
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update_status('Processing to video succeed!')
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else:
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def destroy() -> None:
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if roop.globals.target_path:
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clean_temp(roop.globals.target_path)
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sys.exit()
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def run() -> None:
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start()
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else:
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window = ui.init(start, destroy)
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window.mainloop()
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