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update change and translate to vietnamese

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25
CONTRIBUTING.md
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@ -1,25 +0,0 @@
## Pull Requests
Before submitting a pull request, please ensure to align with us as we need to establish both technical and business requirements.
### Do
- ...consider to fix bugs over adding features
- ...one pull request for one feature or improvement
- ...consult us about implementation details
- ...proper testing before you submit your code
- ...resolve failed CI pipelines
### Don't
- ...introduce fundamental changes in terms of software architecture
- ...introduce OOP - we accept functional programming only
- ...ignore given requirements or try to work around them
- ...submit code to a development branch without consulting us
- ...submit massive amount of code changes
- ...submit a proof of concept
- ...submit code that is using undocumented and private APIs
- ...solve third party issues in our project
- ...comment what your code does - use proper naming instead

56
DeepFake.ipynb
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@ -1,28 +1,10 @@
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": [],
"gpuType": "T4",
"authorship_tag": "ABX9TyMTdt1Y1rep7hl1DNlY7vmT",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
},
"accelerator": "GPU"
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
"colab_type": "text",
"id": "view-in-github"
},
"source": [
"<a href=\"https://colab.research.google.com/github/tripleseven190504/change-face/blob/main/DeepFake.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
@ -47,20 +29,38 @@
"!mv inswapper_128.onnx /content/change-face/models\n",
"!pip uninstall onnxruntime onnxruntime-gpu -y\n",
"!pip install torch torchvision torchaudio --force-reinstall --index-url https://download.pytorch.org/whl/cu118\n",
"!pip install onnxruntime-gpu"
"!pip install onnxruntime-gpu==1.15.1"
]
},
{
"cell_type": "code",
"source": [
"%cd /content/change-face\n",
"!python run.py -s /content/face.jpeg -t /content/video.mp4 -o /content/new_video.mp4 --frame-processor face_swapper"
],
"execution_count": null,
"metadata": {
"id": "2IxL9XoUOY5W"
},
"execution_count": null,
"outputs": []
"outputs": [],
"source": [
"%cd /content/change-face\n",
"!python run.py -s /content/face.jpeg -t /content/video.mp4 -o /content/new_video.mp4 --frame-processor face_swapper"
]
}
]
],
"metadata": {
"accelerator": "GPU",
"colab": {
"authorship_tag": "ABX9TyMTdt1Y1rep7hl1DNlY7vmT",
"gpuType": "T4",
"include_colab_link": true,
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"name": "python3"
},
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 0
}

674
LICENSE
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@ -1,674 +0,0 @@
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APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
16. Limitation of Liability.
IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
SUCH DAMAGES.
17. Interpretation of Sections 15 and 16.
If the disclaimer of warranty and limitation of liability provided
above cannot be given local legal effect according to their terms,
reviewing courts shall apply local law that most closely approximates
an absolute waiver of all civil liability in connection with the
Program, unless a warranty or assumption of liability accompanies a
copy of the Program in return for a fee.
END OF TERMS AND CONDITIONS
How to Apply These Terms to Your New Programs
If you develop a new program, and you want it to be of the greatest
possible use to the public, the best way to achieve this is to make it
free software which everyone can redistribute and change under these terms.
To do so, attach the following notices to the program. It is safest
to attach them to the start of each source file to most effectively
state the exclusion of warranty; and each file should have at least
the "copyright" line and a pointer to where the full notice is found.
<one line to give the program's name and a brief idea of what it does.>
Copyright (C) <year> <name of author>
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
Also add information on how to contact you by electronic and paper mail.
If the program does terminal interaction, make it output a short
notice like this when it starts in an interactive mode:
<program> Copyright (C) <year> <name of author>
This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
This is free software, and you are welcome to redistribute it
under certain conditions; type `show c' for details.
The hypothetical commands `show w' and `show c' should show the appropriate
parts of the General Public License. Of course, your program's commands
might be different; for a GUI interface, you would use an "about box".
You should also get your employer (if you work as a programmer) or school,
if any, to sign a "copyright disclaimer" for the program, if necessary.
For more information on this, and how to apply and follow the GNU GPL, see
<https://www.gnu.org/licenses/>.
The GNU General Public License does not permit incorporating your program
into proprietary programs. If your program is a subroutine library, you
may consider it more useful to permit linking proprietary applications with
the library. If this is what you want to do, use the GNU Lesser General
Public License instead of this License. But first, please read
<https://www.gnu.org/licenses/why-not-lgpl.html>.

13
README.md
View File

@ -1,4 +1,11 @@
# Setup
# Hướng dẫn sử dụng
## Chạy trên Google Colab
<a href="https://colab.research.google.com/github/tripleseven190504/change-face/blob/main/DeepFake.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>
## Chạy trên local
``` bash
cd ~
pip install --upgrade pip
@ -11,9 +18,9 @@ mkdir ~/change-face/models
mv inswapper_128.onnx ~/change-face/models
pip uninstall onnxruntime onnxruntime-gpu -y
pip install torch torchvision torchaudio --force-reinstall --index-url https://download.pytorch.org/whl/cu118
pip install onnxruntime-gpu
pip install onnxruntime-gpu==1.15.1
```
# Run
``` bash
cd ~/change-face
python run.py -s ~/face.jpeg -t ~/video.mp4 -o ~/new_video.mp4 --frame-processor face_swapper

13
requirements-headless.txt
View File

@ -1,13 +0,0 @@
numpy==1.24.3
opencv-python==4.8.0.74
onnx==1.14.0
insightface==0.7.3
psutil==5.9.5
tk==0.1.0
customtkinter==5.2.0
tkinterdnd2==0.3.0
onnxruntime==1.15.0
tensorflow==2.13.0
opennsfw2==0.10.2
protobuf==4.23.4
tqdm==4.65.0

54
roop/core.py
View File

@ -2,25 +2,31 @@
import os
import sys
# single thread doubles cuda performance - needs to be set before torch import
if any(arg.startswith('--execution-provider') for arg in sys.argv):
os.environ['OMP_NUM_THREADS'] = '1'
# reduce tensorflow log level
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
import argparse
import platform
import shutil
import signal
import warnings
from typing import List
import platform
import signal
import shutil
import argparse
import onnxruntime
import tensorflow
import roop.globals
import roop.metadata
import roop.ui as ui
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
from roop.utilities import (clean_temp, create_temp, create_video, detect_fps,
extract_frames, get_temp_frame_paths,
has_image_extension, is_image, is_video, move_temp,
normalize_output_path, restore_audio)
warnings.filterwarnings('ignore', category=FutureWarning, module='insightface')
warnings.filterwarnings('ignore', category=UserWarning, module='torchvision')
@ -114,15 +120,15 @@ def limit_resources() -> None:
def pre_check() -> bool:
if sys.version_info < (3, 9):
update_status('Python version is not supported - please upgrade to 3.9 or higher.')
update_status('Python version không hỗ trợ, vui lòng cài phiên bản mới hơn')
return False
if not shutil.which('ffmpeg'):
update_status('ffmpeg is not installed.')
update_status('ffmpeg chưa được cài đặt.')
return False
return True
def update_status(message: str, scope: str = 'ROOP.CORE') -> None:
def update_status(message: str, scope: str = '') -> None:
print(f'[{scope}] {message}')
if not roop.globals.headless:
ui.update_status(message)
@ -139,64 +145,64 @@ def start() -> None:
shutil.copy2(roop.globals.target_path, roop.globals.output_path)
# process frame
for frame_processor in get_frame_processors_modules(roop.globals.frame_processors):
update_status('Progressing...', frame_processor.NAME)
update_status('Đang chạy...', frame_processor.NAME)
frame_processor.process_image(roop.globals.source_path, roop.globals.output_path, roop.globals.output_path)
frame_processor.post_process()
# validate image
if is_image(roop.globals.target_path):
update_status('Processing to image succeed!')
update_status('Thành công')
else:
update_status('Processing to image failed!')
update_status('Lỗi')
return
# process image to videos
if predict_video(roop.globals.target_path):
destroy()
update_status('Creating temporary resources...')
update_status('Đang khởi tạo tệp tin tạm...')
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...')
update_status(f'Đang extract frame với {fps} FPS...')
extract_frames(roop.globals.target_path, fps)
else:
update_status('Extracting frames with 30 FPS...')
update_status('Đang trích xuất frame với 30FPS...')
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 in get_frame_processors_modules(roop.globals.frame_processors):
update_status('Progressing...', frame_processor.NAME)
update_status('Đang chạy...', frame_processor.NAME)
frame_processor.process_video(roop.globals.source_path, temp_frame_paths)
frame_processor.post_process()
else:
update_status('Frames not found...')
update_status('Không thấy frame nào...')
return
# create video
if roop.globals.keep_fps:
fps = detect_fps(roop.globals.target_path)
update_status(f'Creating video with {fps} FPS...')
update_status(f'CTạo video với {fps} FPS...')
create_video(roop.globals.target_path, fps)
else:
update_status('Creating video with 30 FPS...')
update_status('Tạo video với 30 FPS...')
create_video(roop.globals.target_path)
# handle audio
if roop.globals.skip_audio:
move_temp(roop.globals.target_path, roop.globals.output_path)
update_status('Skipping audio...')
update_status('Bỏ qua âm thanh...')
else:
if roop.globals.keep_fps:
update_status('Restoring audio...')
update_status('Khôi phục âm thanh...')
else:
update_status('Restoring audio might cause issues as fps are not kept...')
update_status('Khôi phục âm thanh có thể gây ra sự cố do không giữ được khung hình/giây...')
restore_audio(roop.globals.target_path, roop.globals.output_path)
# clean temp
update_status('Cleaning temporary resources...')
update_status('Làm sạch tài nguyên tạm thời...')
clean_temp(roop.globals.target_path)
# validate video
if is_video(roop.globals.target_path):
update_status('Processing to video succeed!')
update_status('Xử lý thành video thành công!')
else:
update_status('Processing to video failed!')
update_status('Xử lý video không thành công!')
def destroy() -> None:

14
roop/processors/frame/face_enhancer.py
View File

@ -1,19 +1,21 @@
from typing import Any, List, Callable
import cv2
import threading
from typing import Any, Callable, List
import cv2
from gfpgan.utils import GFPGANer
import roop.globals
import roop.processors.frame.core
from roop.core import update_status
from roop.face_analyser import get_many_faces
from roop.typing import Frame, Face
from roop.utilities import conditional_download, resolve_relative_path, is_image, is_video
from roop.typing import Face, Frame
from roop.utilities import (conditional_download, is_image, is_video,
resolve_relative_path)
FACE_ENHANCER = None
THREAD_SEMAPHORE = threading.Semaphore()
THREAD_LOCK = threading.Lock()
NAME = 'ROOP.FACE-ENHANCER'
NAME = 'Cải thiện khuôn mặt'
def get_face_enhancer() -> Any:
@ -49,7 +51,7 @@ def pre_check() -> bool:
def pre_start() -> bool:
if not is_image(roop.globals.target_path) and not is_video(roop.globals.target_path):
update_status('Select an image or video for target path.', NAME)
update_status('Chọn một hình ảnh hoặc video cho tệp đích', NAME)
return False
return True

21
roop/processors/frame/face_swapper.py
View File

@ -1,19 +1,22 @@
from typing import Any, List, Callable
import threading
from typing import Any, Callable, List
import cv2
import insightface
import threading
import roop.globals
import roop.processors.frame.core
from roop.core import update_status
from roop.face_analyser import get_one_face, get_many_faces, find_similar_face
from roop.face_reference import get_face_reference, set_face_reference, clear_face_reference
from roop.face_analyser import find_similar_face, get_many_faces, get_one_face
from roop.face_reference import (clear_face_reference, get_face_reference,
set_face_reference)
from roop.typing import Face, Frame
from roop.utilities import conditional_download, resolve_relative_path, is_image, is_video
from roop.utilities import (conditional_download, is_image, is_video,
resolve_relative_path)
FACE_SWAPPER = None
THREAD_LOCK = threading.Lock()
NAME = 'ROOP.FACE-SWAPPER'
NAME = 'Đổi khuôn mặt'
def get_face_swapper() -> Any:
@ -40,13 +43,13 @@ def pre_check() -> bool:
def pre_start() -> bool:
if not is_image(roop.globals.source_path):
update_status('Select an image for source path.', NAME)
update_status('Chọn ảnh từ source', NAME)
return False
elif not get_one_face(cv2.imread(roop.globals.source_path)):
update_status('No face in source path detected.', NAME)
update_status('Không phát hiện khuôn mặt nào', NAME)
return False
if not is_image(roop.globals.target_path) and not is_video(roop.globals.target_path):
update_status('Select an image or video for target path.', NAME)
update_status('Chọn một video hoặc hình ảnh từ nguồn', NAME)
return False
return True