替换apt源

https://developer.aliyun.com/mirror/

安装python环境

shell
# 安装opencv的的一些依赖，可以不装
sudo apt install build-essential cmake git pkg-config libgtk-3-dev -y
sudo apt install libavcodec-dev libavformat-dev libswscale-dev libv4l-dev libxvidcore-dev libx264-dev -y
sudo apt install libjpeg-dev libpng-dev libtiff-dev gfortran openexr libatlas-base-dev -y
sudo apt install python3-dev python3-numpy libtbb2 libtbb-dev libdc1394-22-dev -y
# 下载miniconda3 安装在指定位置
wget http://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-latest-Linux-x86_64.sh -O /tmp/conda.sh && bash /tmp/conda.sh -b -f -p /ssd/xd/miniconda3 && rm /tmp/conda.sh
# 初始化bash
/ssd/xd/miniconda3/bin/conda init bash
# 给一个镜像conda配置
echo \
"channels:
  - defaults
show_channel_urls: true
default_channels:
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r
  - 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
  pytorch-lts: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  simpleitk: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud"> ~/.condarc
# 重新进入bash后创建可用的python环境
conda create -n py37 python=3.7 -y &&  conda activate py37 && pip install -i https://pypi.tuna.tsinghua.edu.cn/simple pip -U && pip install pip -U && pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple \
 && pip install fastapi uvicorn python-multipart \
 && pip install mnn matplotlib numpy opencv-python==4.4.0.40
# pytorch环境
conda activate py37 && conda install pytorch==1.8.1 torchvision==0.9.1 torchaudio==0.8.1 cudatoolkit=11.3 -c pytorch -c conda-forge -y 
#