#**本博客的主要目的是一个集成工作，方便自己后期再一次安装ros，感谢各位作者的辛苦付出**

1. ubuntu18.04 installation [additional 20.04 installation]

Reference link: Link
additional:
ubuntu20.04 installation: Reference 1: link ; Reference 2: link

2. ROS melodic installation [additional neotic installation]

Reference link 1: link
Reference link 2: link
Reference link 3: link
If there is a problem with sudo rosdep init, you can refer to the blog , which summarizes several methods

sudo rosdep init
rosdep update

Additional:
Neotic one-click installation: link

3. Graphics card 3060 driver installation

Reference link: link
** ~~[mainly refer to the position shown in the picture]~~ **

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4. cuda installation

Reference link 1: link

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*** ~~Main references are as follows~~ ***
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At 2.3, you need to pay attention to:

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2.3 Add environment variable
gedit ~/.bashrc Open the file and add the following statement at the end of the file:

export PATH="/usr/local/cuda-11.6/bin:$PATH"
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-11.6/lib64
export LIBRARY_PATH=$LIBRARY_PATH:/usr/local/cuda-11.6/lib4【此处三lib64，不是lib】

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Reference link 2: link

5. cudnn installation

Reference Link 1: Link
Reference Link 2: Link

6. pytorch installation

[You need to install anaconda first, you can install it yourself and refer to the link ]
*** ~~Here is the installation instruction for installing pytorch==1.12.1, cuda10.2~~ ***; [ Download link ]

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conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cudatoolkit=10.2 -c pytorch

Reference link: link
*** ~~The main reference is as follows:~~ ***

= insert image description here =

Note: Improve installation speed

~~Usually, the original pytorch installation is relatively long, you can modify the .condarc file under the main directory as shown below to improve the installation speed~~

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# 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/msys2
 #  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/
 #  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/msys2/
  # - defaults
# show_channel_urls: true
# auto_activate_base: true

具体代码如下：
channels:
  - defaults
show_channel_urls: true
default_channels:
  - http://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
  - http://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r
  - http://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2
custom_channels:
  conda-forge: http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  msys2: http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  bioconda: http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  menpo: http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  pytorch: http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  simpleitk: http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud

Ubuntu18.04, ROS melodic, RTX3060 graphics driver, cuda, cudnn, pytorch installation integration under win11