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crnn
crnn
 
 
east
east
 
 
insightface
insightface
 
 
lama
lama
 
 
mask-rcnn
mask-rcnn
 
 
mtcnn
mtcnn
 
 
multi-label-image
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nlp-transformer
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README.md
README.md
 
 

README.md

Nvidia CUDA

Nvidia VGA

型号 显存 位宽 频率 建议电源 电源接口 参考价
GeForce RTX 3090 24GB GDDR6X 384bit 19500MHz 750W 8pin+8pin 12K
GeForce RTX 3080 10GB GDDR6X 320bit 19000MHz 750W 8pin+8pin 5.5K
GeForce RTX 3070 8GB GDDR6 256bit 14000MHz 650W 8pin 3.9K
GeForce RTX 3060Ti 8GB GDDR6 256bit 14000MHz 600W 8pin 3K
GeForce RTX 2080Ti 11GB GDDR6 352bit 14000MHz - 8pin+8pin 10K
GeForce RTX 2080 SUPER 8GB GDDR6 256bit 15500MHz 650W 6pin+8pin 8K
GeForce RTX 2080 8GB GDDR6 256bit 14000MHz - 6pin+8pin 14K
GeForce RTX 2070 SUPER 8GB GDDR6 256bit 14000MHz 650W 6pin+8pin 3.2K
GeForce RTX 2070 8GB GDDR6 256bit 14000MHz - 8pin 6.6K
GeForce RTX 2060 SUPER 8GB GDDR6 256bit 14000MHz 550W 8pin 4K
GeForce GTX 1080Ti 11GB GDDR5X 352bit 11000MHz - 6pin+8pin 8.7K
GeForce GTX 1080 8GB GDDR5X 256bit 10000MHz - 8pin 4.9K
GeForce GTX 1070Ti 8GB GDDR5 256bit 8000MHz - 8pin -

Project

名称 说明 备注
lama 图像修复 无
crnn 文本识别 无
east 文本检测 无
mask-rcnn 图片语义分割 无
multi-label-image 图片多标签分类 无
mtcnn 人脸检测 无
insightface 人脸识别 无
Real-ESRGAN 图片降噪、超分辨率 无

Anaconda

  • 从文件创建环境
conda env create -f environment.yml

name: env-name
channels:
  - pytorch
dependencies:
  - python=3.6
  - conda-package
  - pip:
    - pip-package
  • 单独创建环境
conda create --name xxx python=3.7
  • 查看及使用环境
conda info --envs
conda activate xxx
  • 安装及卸载组件
conda install jupyter
conda uninstall jupyter
  • 退出及删除环境
conda deactivate
conda env remove -n xxx
  • 环境变量
PYTHONPATH=.
  • 与pip协作
pip freeze > requirements.txt
pip install -r requirements.txt
python -m pip install 'git+https://github.com/xxx.git'
python -m pip install -e [local clone]
conda list -e > requirements.txt
conda install --yes --file requirements.txt

Config

  • ~/.condarc & conda clean -i
channels:
  - defaults
show_channel_urls: true
channel_alias: https://mirrors.tuna.tsinghua.edu.cn/anaconda
default_channels:
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/pro
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2
custom_channels:
  conda-forge: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  msys2: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  bioconda: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  menpo: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  pytorch: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  simpleitk: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
ssl_verify: true
remote_read_timeout_secs: 100.0
report_errors: false
  • ~/.pip/pip.conf
[global]
timeout = 6000
index-url = https://pypi.tuna.tsinghua.edu.cn/simple

参考链接