miniconda 使用记录

miniconda 是干什么的

python多环境搭建使用，在开发python的时候，每个库要求的python版本不一样。

安装使用

说明文档
https://docs.anaconda.net.cn/miniconda/

安装前说明

卸载本级所有python版本，Launcher保留。

下载安装包
https://docs.anaconda.net.cn/miniconda/install/
https://repo.anaconda.com/miniconda/Miniconda3-latest-Windows-x86_64.exe

安装设置

1、3、4 都勾选
1 快捷方式 2 添加环境变量 3默认Python3.13 4.安装后删除临时文件

不添加环境变量

不添加环境变量，每次都使用conda单独打开命令行窗口，保证python版本安全，我还没试和vscode兼容性，估计得单独开了。

目录右键设置

右键名称 在 &Conda 中打开(C) 这样快捷键就是C，右键按C就打开了，这里我用的powershell

使用powershell打开

C:\Windows\System32\WindowsPowerShell\v1.0\powershell.exe -ExecutionPolicy ByPass -NoExit -Command "& 'C:\Users\Reciter\miniconda3\shell\condabin\conda-hook.ps1' ; conda activate 'C:\Users\Reciter\miniconda3'"

使用cmd打开

C:\Users\Reciter\miniconda3\Scripts\activate.bat C:\Users\Reciter\miniconda3\ && cmd.exe /K

注意路径用户名，换成自己的

常用命令（未验证，ai给的，有时间验证）

创建新环境：conda create -n myenv python=3.13
激活环境：conda activate myenv
安装包：conda install numpy pandas
列出所有环境：conda env list
删除环境：conda remove -n myenv --all

基础总结

1. 现在看默认进入是base
2. 每个目录（项目）单独一个名字，所以，第一次要新建一个环境的名字，同项目名，然后指定python版本
3. 二次进入项目 激活当前conda环境

第一次创建

(base) PS E:\aiz\cv_unet_image-matting> conda create -n cv_unet_image-matting python=3.13
Do you accept the Terms of Service (ToS) for https://repo.anaconda.com/pkgs/main? [(a)ccept/(r)eject/(v)iew]: a
Do you accept the Terms of Service (ToS) for https://repo.anaconda.com/pkgs/r? [(a)ccept/(r)eject/(v)iew]: a
Do you accept the Terms of Service (ToS) for https://repo.anaconda.com/pkgs/msys2? [(a)ccept/(r)eject/(v)iew]: a
3 channel Terms of Service accepted
Retrieving notices: done
Channels:
 - defaults
Platform: win-64
Collecting package metadata (repodata.json): - Retrying (Retry(total=2, connect=None, read=None, redirect=None, status=t

done
Solving environment: done


==> WARNING: A newer version of conda exists. <==
    current version: 26.3.2
    latest version: 26.5.3

Please update conda by running

    $ conda update -n base -c defaults conda



## Package Plan ##

  environment location: C:\Users\Reciter\miniconda3\envs\cv_unet_image-matting

  added / updated specs:
    - python=3.13


The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    bzip2-1.0.8                |       h2bbff1b_6          90 KB
    ca-certificates-2026.5.14  |       haa95532_0         107 KB
    libexpat-2.8.2             |       hd7fb8db_1         125 KB
    libffi-3.4.8               |       h42d73b9_3         118 KB
    libmpdec-4.0.1             |       h1c6eee0_0          93 KB
    libzlib-1.3.2              |       h1c6eee0_0          63 KB
    openssl-3.5.7              |       hbb43b14_0         8.9 MB
    packaging-26.0             |  py313haa95532_0         196 KB
    pip-26.1.2                 |     pyhc872135_0         1.1 MB
    python-3.13.14             |h2e1fde4_100_cp313        16.1 MB
    python_abi-3.13            |          4_cp313           5 KB
    setuptools-82.0.1          |  py313haa95532_0         1.6 MB
    sqlite-3.53.2              |       hee5a0db_0         944 KB
    tk-8.6.15                  |       hf199647_0         3.5 MB
    tzdata-2026b               |       he532380_0         118 KB
    ucrt-10.0.22621.0          |       haa95532_0         620 KB
    vc-14.3                    |      h2df5915_12          16 KB
    vc14_runtime-14.44.35208   |      h4927774_12         664 KB
    vs2015_runtime-14.44.35208 |      ha6b5a95_12          16 KB
    wheel-0.47.0               |  py313haa95532_0          97 KB
    xz-5.8.2                   |       h53af0af_0         265 KB
    zlib-1.3.2                 |       h1c6eee0_0         828 KB
    ------------------------------------------------------------
                                           Total:        35.5 MB

The following NEW packages will be INSTALLED:

  bzip2              pkgs/main/win-64::bzip2-1.0.8-h2bbff1b_6
  ca-certificates    pkgs/main/win-64::ca-certificates-2026.5.14-haa95532_0
  libexpat           pkgs/main/win-64::libexpat-2.8.2-hd7fb8db_1
  libffi             pkgs/main/win-64::libffi-3.4.8-h42d73b9_3
  libmpdec           pkgs/main/win-64::libmpdec-4.0.1-h1c6eee0_0
  libzlib            pkgs/main/win-64::libzlib-1.3.2-h1c6eee0_0
  openssl            pkgs/main/win-64::openssl-3.5.7-hbb43b14_0
  packaging          pkgs/main/win-64::packaging-26.0-py313haa95532_0
  pip                pkgs/main/noarch::pip-26.1.2-pyhc872135_0
  python             pkgs/main/win-64::python-3.13.14-h2e1fde4_100_cp313
  python_abi         pkgs/main/win-64::python_abi-3.13-4_cp313
  setuptools         pkgs/main/win-64::setuptools-82.0.1-py313haa95532_0
  sqlite             pkgs/main/win-64::sqlite-3.53.2-hee5a0db_0
  tk                 pkgs/main/win-64::tk-8.6.15-hf199647_0
  tzdata             pkgs/main/noarch::tzdata-2026b-he532380_0
  ucrt               pkgs/main/win-64::ucrt-10.0.22621.0-haa95532_0
  vc                 pkgs/main/win-64::vc-14.3-h2df5915_12
  vc14_runtime       pkgs/main/win-64::vc14_runtime-14.44.35208-h4927774_12
  vs2015_runtime     pkgs/main/win-64::vs2015_runtime-14.44.35208-ha6b5a95_12
  wheel              pkgs/main/win-64::wheel-0.47.0-py313haa95532_0
done
#
# To activate this environment, use
#
#     $ conda activate cv_unet_image-matting
#
# To deactivate an active environment, use
#
#     $ conda deactivate


Channel "defaults" has the following notices:
  [info] -- Tue Jun  9 00:00:00 2026
  PyTorch 2.12 with CUDA support is now available to install with your current channel (Anaconda Main). Learn more: htts

(base) PS E:\aiz\cv_unet_image-matting> conda env list

# conda environments:
#
# * -> active
# + -> frozen
base                 *   C:\Users\Reciter\miniconda3
cv_unet_image-matting     C:\Users\Reciter\miniconda3\envs\cv_unet_image-matting

(base) PS E:\aiz\cv_unet_image-matting> conda activate cv_unet_image-matting
(cv_unet_image-matting) PS E:\aiz\cv_unet_image-matting>

二次进入进行切换

创建脚本 condaact.ps1

conda activate cv_unet_image-matting

小计：我脚本名字改成了cc.ps1 因为 目录右键c然后cc回车，特别顺~

安装包路径转移到E盘，C盘没空间了

# 1. 将虚拟环境路径改到 D 盘
conda config --add envs_dirs E:\CondaConfig\envs

# 2. 将包缓存路径改到 D 盘
conda config --add pkgs_dirs E:\CondaConfig\pkgs

执行后查看，成功了。

(base) PS C:\Users\Reciter\Desktop\ai-dev> conda config --add envs_dirs E:\CondaConfig\envs
(base) PS C:\Users\Reciter\Desktop\ai-dev> conda config --add pkgs_dirs E:\CondaConfig\pkgs
(base) PS C:\Users\Reciter\Desktop\ai-dev> conda info

     active environment : base
    active env location : C:\Users\Reciter\miniconda3
            shell level : 1
       user config file : C:\Users\Reciter\.condarc
 populated config files : C:\Users\Reciter\miniconda3\.condarc
                          C:\Users\Reciter\miniconda3\condarc.d\anaconda-auth.yml
                          C:\Users\Reciter\.condarc
          conda version : 26.3.2
    conda-build version : not installed
         python version : 3.13.13.final.0
                 solver : libmamba (default)
       virtual packages : __archspec=1=skylake
                          __conda=26.3.2=0
                          __cuda=12.6=0
                          __win=10.0.26200=0
       base environment : C:\Users\Reciter\miniconda3  (writable)
      conda av data dir : C:\Users\Reciter\miniconda3\etc\conda
  conda av metadata url : None
           channel URLs : https://repo.anaconda.com/pkgs/main/win-64
                          https://repo.anaconda.com/pkgs/main/noarch
                          https://repo.anaconda.com/pkgs/r/win-64
                          https://repo.anaconda.com/pkgs/r/noarch
                          https://repo.anaconda.com/pkgs/msys2/win-64
                          https://repo.anaconda.com/pkgs/msys2/noarch
          package cache : E:\CondaConfig\pkgs
       envs directories : E:\CondaConfig\envs
                          C:\Users\Reciter\miniconda3\envs
                          C:\Users\Reciter\.conda\envs
                          C:\Users\Reciter\AppData\Local\conda\conda\envs
    temporary directory : C:\Users\Reciter\AppData\Local\Temp
               platform : win-64
             user-agent : conda/26.3.2 requests/2.33.1 CPython/3.13.13 Windows/11 Windows/10.0.26200 solver/libmamba conda-libmamba-solver/26.4.0 libmambapy/2.3.2 aau/0.7.6 c/. s/. e/.
          administrator : False
             netrc file : None
           offline mode : False

清理老数据

(base) PS C:\Users\Reciter\Desktop\ai-dev> conda clean -p -t -y
There are no unused tarball(s) to remove.
There are no unused package(s) to remove.

我刚装的，所有没有老数据。