https://github.com/cy2016-1/video-subtitle-remover
Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
-
✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (6.7%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: cy2016-1
- License: apache-2.0
- Language: Python
- Default Branch: main
- Size: 1.11 GB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
| English
Video-subtitle-remover (VSR) AI
- ****
- AI
-

- QQ806152575
- conda
Windows GPUv1.1.0GPU
: vsrwindowsgpu_v1.1.0.zip vsr1
Google Drive: vsrwindowsgpu_v1.1.0.zip
Nvidia(AMD)
- GUI

Nvidia
GPUGTX 1060
CPU: AVX
1. Miniconda
2.
1
shell
cd <>
Dtoolsvideo-subtitle-remover
cd D:/tools/video-subtitle-remover-main
2conda
shell
conda create -n videoEnv python=3.8
shell
conda activate videoEnv
3.
python 3.8+conda ()
- CUDAcuDNN
1. accept 2. CUDA Toolkit 11.7nvidiaDrivernvidiadriverinstall 3. ~/.bashrc <a href="https://pan.baidu.com/s/1GdpSVzWfX1G7zCuqz6YYA">cudnn-linux-x8664-8.4.1.50cuda11.6-archive.tar.xz 57mg cudnn-linux-x8664-8.4.1.50cuda11.6-archive.tar.xzLinux
(1) CUDA 11.7
wget https://developer.download.nvidia.com/compute/cuda/11.7.0/localinstallers/cuda11.7.0515.43.04linux.run(2) CUDA 11.7
sudo sh cuda11.7.0515.43.04linux.run
# CUDA
export PATH=/usr/local/cuda-11.7/bin${PATH:+:${PATH}}
export LDLIBRARYPATH=/usr/local/cuda-11.7/lib64${LDLIBRARYPATH:+:${LDLIBRARYPATH}}source ~/.bashrc(3) cuDNN 8.4.1
(4) cuDNN 8.4.1
tar -xf cudnn-linux-x8664-8.4.1.50cuda11.6-archive.tar.xz
mv cudnn-linux-x8664-8.4.1.50cuda11.6-archive cuda
sudo cp ./cuda/include/* /usr/local/cuda-11.7/include/
sudo cp ./cuda/lib/* /usr/local/cuda-11.7/lib64/
sudo chmod a+r /usr/local/cuda-11.7/lib64/*
sudo chmod a+r /usr/local/cuda-11.7/include/*
cudnn-windows-x64-v8.2.4.15.zip
cuDNNcudabin, include, libC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\
Windows
(1) CUDA 11.7
cuda11.7.0516.01_windows.exe
(2) CUDA 11.7
(3) cuDNN 8.2.4
(4) cuDNN 8.2.4
GPUPaddlepaddle:
- windows:
shell python -m pip install paddlepaddle-gpu==2.4.2.post117 -f https://www.paddlepaddle.org.cn/whl/windows/mkl/avx/stable.html- Linux:shell python -m pip install paddlepaddle-gpu==2.4.2.post117 -f https://www.paddlepaddle.org.cn/whl/linux/mkl/avx/stable.htmlGPUPytorch:
shell
conda install pytorch==2.0.1 torchvision==0.16.0 pytorch-cuda=11.8 -c pytorch -c nvidia
shell
pip install torch==2.0.1 torchvision==0.16.0 --index-url https://download.pytorch.org/whl/cu118
- :
shell
pip install -r requirements.txt
4.
shell
python gui.py
- (CLI)
shell
python ./backend/main.py
backend/config.py
python
MODE = InpaintMode.STTN # STTN
STTN_SKIP_DETECTION = True #
backend/config.py
- InpaintMode.STTN
- InpaintMode.LAMA
- InpaintMode.PROPAINTER
- STTN
```python MODE = InpaintMode.STTN # STTN
,
STTNNEIGHBORSTRIDE = 10
,
STTNREFERENCELENGTH = 10
STTN
STTNMAXLOADNUMSTTNNEIGHBORSTRIDESTTNREFERENCE_LENGTH
STTNMAXLOADNUM = 30
- LAMA
python
MODE = InpaintMode.LAMA # STTN
LAMASUPER_FAST = False #
```
designbackend/tools/train
- CondaHTTPError
.condarc(C:/Users/<>)
https://zhuanlan.zhihu.com/p/260034241
- 7z
7-zip
- 4090cuda 11.7
cuda 11.8
shell
pip install torch==2.1.0 torchvision==0.16.0 --index-url https://download.pytorch.org/whl/cu118

| | | | |---------------------------|------------| --- | | V | 400.00 RMB | | | Jenkit | 200.00 RMB | | | | 100.00 RMB | | | | 100.00 RMB | | | wr | 100.00 RMB | | | | 50.00 RMB | | | Tshuang | 20.00 RMB | | | | 15.00 RMB | | | | 10.00 RMB | | | | 8.80 RMB | | | | 6.00 RMB | | | Stephen | 2.00 RMB | | | Leo | 1.00 RMB | |
Owner
- Name: wza.github.io
- Login: cy2016-1
- Kind: user
- Website: cl.github.io
- Repositories: 1
- Profile: https://github.com/cy2016-1
