视觉应用工程师-环境安装教学视频-Mac系统其他操作

本文链接：https://blog.youkuaiyun.com/hjue/article/details/108544734

立即学习:https://edu.youkuaiyun.com/course/play/29993/432706?utm_source=blogtoedu

Mac系统安装miniconda搭建深度学习环境

安装

Conda是一个开源的包、环境管理器，可以用于在同一个机器上安装不同版本的软件包及其依赖，并能够在不同的环境之间切换

Anaconda包括Conda、Python以及一大堆安装好的工具包，比如：numpy、pandas等

Miniconda包括Conda、Python

conda和pip的比较

类别condapip管理包来源 Anaconda repo和cloud PyPi二进制wheel或源码需要编译器noyes语言anyPython虚拟环境支持通过 virtualenv或venv等支持依赖性检查yes屏幕提示用户选择

打开终端，运行如下命令。由于官网下载速度慢，这里去清华镜像网站下载的安装文件。

wget https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-latest-MacOSX-x86_64.sh -O ~/miniconda.sh
bash ~/miniconda.sh -b -p $HOME/miniconda

source ~miniconda/bin/activate
conda init zsh

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

conda env list

conda activate tf2

pip install numpy -i "https://mirrors.aliyun.com/pypi/simple"

numpy==1.16.0
pandas
matplotlib
opencv-python
opencv-contrib-python
pillow
sklearn
scipy==1.4.1
jupyter
absl-py==0.7
notebook
tensorflow==2.3
tensorflow_datasets
torch==1.6.0
torchvision==0.7.0
-i "https://mirrors.aliyun.com/pypi/simple"

Open a terminal window.
Remove the entire Miniconda install directory with:
```
rm -rf ~/miniconda
```
Remove the following hidden file and folders that may have been created in the home directory:

.condarc file

.conda directory

.continuum directory

By running:
```
rm -rf ~/.condarc ~/.conda ~/.continuum
```
安装文档：https://blog.youkuaiyun.com/qq_38193902/article/details/107214357

清华镜像地址 https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/

Miniconda的官网：https://docs.conda.io/en/latest/miniconda.html

资料
OPTIONAL: Edit ~/.bash_profile to remove the Miniconda directory from your PATH environment variable.