一、简述

年底了，身上也没有其他项目，恰好乘着这个机会学一下pytorch  和YOLOv8.

1、下载abaconda   

https://repo.anaconda.com/archive/

2、安装

 环境变量要✔

其他一直下一步

3、测试

(base) C:\Users\alber>conda -V
conda 23.1.0

(base) C:\Users\alber> conda  info  -e
# conda environments:
#
base                  *  D:\Anaconda


(base) C:\Users\alber>python  -V
Python 3.10.9

(base) C:\Users\alber>conda env  list
# conda environments:
#
base                  *  D:\Anaconda


 //  安装python 3.10.9 并创建一个虚拟环境 名称为py3_10_9_torch  
(base) C:\Users\alber>conda  create   -n  py3_10_9_torch  python=3.10.9
Collecting package metadata (current_repodata.json): done
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: done


==> WARNING: A newer version of conda exists. <==
  current version: 23.1.0
  latest version: 23.11.0

Please update conda by running

    $ conda update -n base -c defaults conda

Or to minimize the number of packages updated during conda update use

     conda install conda=23.11.0



## Package Plan ##

  environment location: D:\Anaconda\envs\py3_10_9_torch

  added / updated specs:
    - python=3.10.9


The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    ca-certificates-2023.12.12 |       haa95532_0         127 KB
    libffi-3.4.4               |       hd77b12b_0         113 KB
    openssl-1.1.1w             |       h2bbff1b_0         5.5 MB
    pip-23.3.1                 |  py310haa95532_0         2.9 MB
    python-3.10.9              |       h966fe2a_2        15.8 MB
    setuptools-68.2.2          |  py310haa95532_0         942 KB
    sqlite-3.41.2              |       h2bbff1b_0         894 KB
    tzdata-2023d               |       h04d1e81_0         117 KB
    wheel-0.41.2               |  py310haa95532_0         127 KB
    xz-5.4.5                   |       h8cc25b3_0         593 KB
    ------------------------------------------------------------
                                           Total:        27.0 MB

The following NEW packages will be INSTALLED:

  bzip2              pkgs/main/win-64::bzip2-1.0.8-he774522_0
  ca-certificates    pkgs/main/win-64::ca-certificates-2023.12.12-haa95532_0
  libffi             pkgs/main/win-64::libffi-3.4.4-hd77b12b_0
  openssl            pkgs/main/win-64::openssl-1.1.1w-h2bbff1b_0
  pip                pkgs/main/win-64::pip-23.3.1-py310haa95532_0
  python             pkgs/main/win-64::python-3.10.9-h966fe2a_2
  setuptools         pkgs/main/win-64::setuptools-68.2.2-py310haa95532_0
  sqlite             pkgs/main/win-64::sqlite-3.41.2-h2bbff1b_0
  tk                 pkgs/main/win-64::tk-8.6.12-h2bbff1b_0
  tzdata             pkgs/main/noarch::tzdata-2023d-h04d1e81_0
  vc                 pkgs/main/win-64::vc-14.2-h21ff451_1
  vs2015_runtime     pkgs/main/win-64::vs2015_runtime-14.27.29016-h5e58377_2
  wheel              pkgs/main/win-64::wheel-0.41.2-py310haa95532_0
  xz                 pkgs/main/win-64::xz-5.4.5-h8cc25b3_0
  zlib               pkgs/main/win-64::zlib-1.2.13-h8cc25b3_0


Proceed ([y]/n)? y


Downloading and Extracting Packages

Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
#     $ conda activate py3_10_9_torch
#
# To deactivate an active environment, use
#
#     $ conda deactivate


(base) C:\Users\alber>conda activate py3_10_9_torch

(py3_10_9_torch) C:\Users\alber>conda env  list
# conda environments:
#
base                     D:\Anaconda
py3_10_9_torch        *  D:\Anaconda\envs\py3_10_9_torch


(py3_10_9_torch) C:\Users\alber>conda list
# packages in environment at D:\Anaconda\envs\py3_10_9_torch:
#
# Name                    Version                   Build  Channel
bzip2                     1.0.8                he774522_0
ca-certificates           2023.12.12           haa95532_0
libffi                    3.4.4                hd77b12b_0
openssl                   1.1.1w               h2bbff1b_0
pip                       23.3.1          py310haa95532_0
python                    3.10.9               h966fe2a_2
setuptools                68.2.2          py310haa95532_0
sqlite                    3.41.2               h2bbff1b_0
tk                        8.6.12               h2bbff1b_0
tzdata                    2023d                h04d1e81_0
vc                        14.2                 h21ff451_1
vs2015_runtime            14.27.29016          h5e58377_2
wheel                     0.41.2          py310haa95532_0
xz                        5.4.5                h8cc25b3_0
zlib                      1.2.13               h8cc25b3_0

(py3_10_9_torch) C:\Users\alber>pip list
Package    Version
---------- -------
pip        23.3.1
setuptools 68.2.2
wheel      0.41.2

(py3_10_9_torch) C:\Users\alber>

二、 安装cuda

查看cuda 对应的版本

下载cuda 

检查：nvcc -V 

三、安装pytorch 

清华  下载路径

https://download.pytorch.org/whl/torch_stable.html

安装 

pip  install "torch-2.1.1+cu121-cp310-cp310-win_amd64.whl" -i https://pypi.tuna.tsinghua.edu.cn/simple/

测试 

检查pytorch 是否安装成功

import  torch 

检查GPU是否能用 以及pytorch 的版本

import torch
print(torch.__version__)#查看pytorch版本
print(torch,torch.cuda.is_available())#看GPU能不能用，能用返回Ture

四、torchvision

https://download.pytorch.org/whl/torch_stable.html

 安装

(base) D:\toruchvision> pip  install  "torchvision-0.16.0+cu121-cp310-cp310-win_amd64.whl" -i https://pypi.tuna.tsinghua.edu.cn/simple/

测试

conda list

五、jupyter安装

直接用命令下载

conda install ipython

安装

conda install jupyter

测试：

jupyter notebook

 

 

 

六、pycharm 安装及其配置

这里最主要的就是找到环境并和pycharm  放到里面

测试 

 

终端和anconda 的连接 

要先记录anaconda  Prompt 的路径 

cmd.exe "/K" D:\Anaconda\Scripts\activate.bat D:\Anaconda 

 将这个放到pycharm 当中

安装使用的话还是在anaconda Prompt 库

镜像源：

阿里云 http://mirrors.aliyun.com/pypi/simple/
中国科技大学 https://pypi.mirrors.ustc.edu.cn/simple/
豆瓣 http://pypi.douban.com/simple/
中国科学技术大学 http://pypi.mirrors.ustc.edu.cn/simple/
清华大学 https://pypi.tuna.tsinghua.edu.cn/simple/

学习网站：05jupyter安装_哔哩哔哩_bilibili