-
-
Notifications
You must be signed in to change notification settings - Fork 6.1k
/
core.py
executable file
·239 lines (208 loc) · 12.4 KB
/
core.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
#!/usr/bin/env python3
import os
# single thread doubles cuda performance
os.environ['OMP_NUM_THREADS'] = '1'
# reduce tensorflow log level
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
import sys
import warnings
from typing import List
import platform
import signal
import shutil
import argparse
import onnxruntime
import tensorflow
import roop.globals
import roop.metadata
from roop.predictor import predict_image, predict_video
from roop.processors.frame.core import get_frame_processors_modules
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, list_module_names
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(formatter_class=lambda prog: argparse.HelpFormatter(prog, max_help_position=120))
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-processors', help='list of available frame processors (choices: face_swapper, face_enhancer, frame_enhancer, ...)', dest='frame_processors', default=['face_swapper'], nargs='+')
program.add_argument('--ui-layouts', help='list of available ui layouts (choices: default, ...)', dest='ui_layouts', default=['default'], nargs='+')
program.add_argument('--keep-fps', help='keep target fps', dest='keep_fps', action='store_true')
program.add_argument('--keep-temp', help='keep temporary frames', dest='keep_temp', action='store_true')
program.add_argument('--skip-audio', help='skip target audio', dest='skip_audio', action='store_true')
program.add_argument('--face-recognition', help='face recognition method', dest='face_recognition', default='reference', choices=['reference', 'many'])
program.add_argument('--face-analyser-direction', help='direction used for the face analyser', dest='face_analyser_direction', default='left-right', choices=['left-right', 'right-left', 'top-bottom', 'bottom-top', 'small-large', 'large-small'])
program.add_argument('--face-analyser-age', help='age used for the face analyser', dest='face_analyser_age', choices=['child', 'teen', 'adult', 'senior'])
program.add_argument('--face-analyser-gender', help='gender used for the face analyser', dest='face_analyser_gender', choices=['male', 'female'])
program.add_argument('--reference-face-position', help='position of the reference face', dest='reference_face_position', type=int, default=0)
program.add_argument('--reference-face-distance', help='distance between reference face and target face', dest='reference_face_distance', type=float, default=1.5)
program.add_argument('--reference-frame-number', help='number of the reference frame', dest='reference_frame_number', type=int, default=0)
program.add_argument('--trim-frame-start', help='start frame use for extraction', dest='trim_frame_start', type=int)
program.add_argument('--trim-frame-end', help='end frame use for extraction', dest='trim_frame_end', type=int)
program.add_argument('--temp-frame-format', help='image format used for frame extraction', dest='temp_frame_format', default='jpg', choices=['jpg', 'png'])
program.add_argument('--temp-frame-quality', help='image quality used for frame extraction', dest='temp_frame_quality', type=int, default=100, choices=range(101), metavar='[0-100]')
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'])
program.add_argument('--output-video-quality', help='quality used for the output video', dest='output_video_quality', type=int, default=90, choices=range(101), metavar='[0-100]')
program.add_argument('--max-memory', help='maximum amount of RAM in GB', dest='max_memory', type=int)
program.add_argument('--execution-providers', help='list of available execution providers (choices: cpu, ...)', dest='execution_providers', default=['cpu'], choices=suggest_execution_providers(), nargs='+')
program.add_argument('--execution-thread-count', help='number of execution threads', dest='execution_thread_count', type=int, default=suggest_execution_thread_count())
program.add_argument('--execution-queue-count', help='number of execution queries', dest='execution_queue_count', type=int, default=1)
program.add_argument('-v', '--version', action='version', version=f'{roop.metadata.name} {roop.metadata.version}')
args = program.parse_args()
roop.globals.source_path = args.source_path
roop.globals.target_path = args.target_path
roop.globals.output_path = normalize_output_path(roop.globals.source_path, roop.globals.target_path, args.output_path)
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
roop.globals.frame_processors = args.frame_processors
roop.globals.ui_layouts = args.ui_layouts
roop.globals.keep_fps = args.keep_fps
roop.globals.keep_temp = args.keep_temp
roop.globals.skip_audio = args.skip_audio
roop.globals.face_recognition = args.face_recognition
roop.globals.face_analyser_direction = args.face_analyser_direction
roop.globals.face_analyser_age = args.face_analyser_age
roop.globals.face_analyser_gender = args.face_analyser_gender
roop.globals.reference_face_position = args.reference_face_position
roop.globals.reference_frame_number = args.reference_frame_number
roop.globals.reference_face_distance = args.reference_face_distance
roop.globals.trim_frame_start = args.trim_frame_start
roop.globals.trim_frame_end = args.trim_frame_end
roop.globals.temp_frame_format = args.temp_frame_format
roop.globals.temp_frame_quality = args.temp_frame_quality
roop.globals.output_video_encoder = args.output_video_encoder
roop.globals.output_video_quality = args.output_video_quality
roop.globals.max_memory = args.max_memory
roop.globals.execution_providers = decode_execution_providers(args.execution_providers)
roop.globals.execution_thread_count = args.execution_thread_count
roop.globals.execution_queue_count = args.execution_queue_count
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_execution_providers() -> List[str]:
return encode_execution_providers(onnxruntime.get_available_providers())
def suggest_ui_layouts() -> List[str]:
return list_module_names('roop/uis/__layouts__')
def suggest_execution_thread_count() -> int:
if 'CUDAExecutionProvider' in onnxruntime.get_available_providers():
return 8
return 1
def limit_resources() -> None:
# prevent tensorflow memory leak
gpus = tensorflow.config.experimental.list_physical_devices('GPU')
for gpu in gpus:
tensorflow.config.experimental.set_virtual_device_configuration(gpu, [
tensorflow.config.experimental.VirtualDeviceConfiguration(memory_limit=1024)
])
# limit memory usage
if roop.globals.max_memory:
memory = roop.globals.max_memory * 1024 ** 3
if platform.system().lower() == 'darwin':
memory = roop.globals.max_memory * 1024 ** 6
if platform.system().lower() == 'windows':
import ctypes
kernel32 = ctypes.windll.kernel32 # type: ignore[attr-defined]
kernel32.SetProcessWorkingSetSize(-1, ctypes.c_size_t(memory), ctypes.c_size_t(memory))
else:
import resource
resource.setrlimit(resource.RLIMIT_DATA, (memory, memory))
def pre_check() -> bool:
if sys.version_info < (3, 10):
update_status('Python version is not supported - please upgrade to 3.10 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 = 'ROOP.CORE') -> None:
print(f'[{scope}] {message}')
def start() -> None:
for frame_processor_module in get_frame_processors_modules(roop.globals.frame_processors):
if not frame_processor_module.pre_start():
return
# process image to image
if has_image_extension(roop.globals.target_path):
if predict_image(roop.globals.target_path):
return
shutil.copy2(roop.globals.target_path, roop.globals.output_path)
# process frame
for frame_processor_module in get_frame_processors_modules(roop.globals.frame_processors):
update_status('Progressing...', frame_processor_module.NAME)
frame_processor_module.process_image(roop.globals.source_path, roop.globals.output_path, roop.globals.output_path)
frame_processor_module.post_process()
# validate image
if is_image(roop.globals.target_path):
update_status('Processing to image succeed!')
else:
update_status('Processing to image failed!')
return
# process image to videos
if predict_video(roop.globals.target_path):
return
update_status('Creating temporary resources...')
create_temp(roop.globals.target_path)
# extract frames
if roop.globals.keep_fps:
fps = detect_fps(roop.globals.target_path)
update_status(f'Extracting frames with {fps} FPS...')
extract_frames(roop.globals.target_path, fps)
else:
update_status('Extracting frames with 30 FPS...')
extract_frames(roop.globals.target_path)
# process frame
temp_frame_paths = get_temp_frame_paths(roop.globals.target_path)
if temp_frame_paths:
for frame_processor_module in get_frame_processors_modules(roop.globals.frame_processors):
update_status('Progressing...', frame_processor_module.NAME)
frame_processor_module.process_video(roop.globals.source_path, temp_frame_paths)
frame_processor_module.post_process()
else:
update_status('Temporary frames not found...')
return
# create video
if roop.globals.keep_fps:
fps = detect_fps(roop.globals.target_path)
update_status(f'Creating video with {fps} FPS...')
if not create_video(roop.globals.target_path, fps):
update_status('Creating video failed...')
else:
update_status('Creating video with 30 FPS...')
if not create_video(roop.globals.target_path):
update_status('Creating video failed...')
# handle audio
if roop.globals.skip_audio:
move_temp(roop.globals.target_path, roop.globals.output_path)
update_status('Skipping audio...')
else:
if roop.globals.keep_fps:
update_status('Restoring audio...')
else:
update_status('Restoring audio might cause issues as fps are not kept...')
restore_audio(roop.globals.target_path, roop.globals.output_path)
# clean temp
update_status('Cleaning temporary resources...')
clean_temp(roop.globals.target_path)
# validate video
if is_video(roop.globals.target_path):
update_status('Processing to video succeed!')
else:
update_status('Processing to video failed!')
def destroy() -> None:
if roop.globals.target_path:
clean_temp(roop.globals.target_path)
sys.exit()
def run() -> None:
parse_args()
if not pre_check():
return
for frame_processor in get_frame_processors_modules(roop.globals.frame_processors):
if not frame_processor.pre_check():
return
limit_resources()
if roop.globals.headless:
start()
else:
import roop.uis.core as ui
ui.init()