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wan@wan-ThinkPad-E15:~/Downloads/DRL_Path_Planning-master$ catkin_make
sudo apt-get install ros-kinetic-robot-localization
sudo apt update
sudo apt upgrade
sudo apt-get install ros-kinetic-robot-localization

wan@wan-ThinkPad-E15:~/Downloads/DRL_Path_Planning-master$ roslaunch multi_jackal_tutorials ten_jackal_laser_add_apriltag.launch
重启后还要重新catkin_make一下

启动虚拟环境:(在虚拟环境中安装python包)
wan@wan-ThinkPad-E15:~/Desktop$ source py3env/bin/activate

输出十个静态障碍
wan@wan-ThinkPad-E15:~$ cd DRL_Path_Planning-master/
wan@wan-ThinkPad-E15:~/DRL_Path_Planning-master$ cd DRL_Path_Planning-master/
~/DRL_Path_Planning-master/DRL_Path_Planning-master$ l
build/  devel/  README.md  src/
wan@wan-ThinkPad-E15:~/DRL_Path_Planning-master/DRL_Path_Planning-master$ source devel/setup.bash 
wan@wan-ThinkPad-E15:~/DRL_Path_Planning-master/DRL_Path_Planning-master$ roslaunch multi_jackal_tutorials ten_jackal_laser_add_apriltag.launch 

显示驱动
nvidia-smi

sudo apt install nvidia-utils-470 安装成功了

另起一个终端运行
(py3env) wan@wan-ThinkPad-E15:~/DRL_Path_Planning-master/DRL_Path_Planning-master/src/tf_pkg/scripts$ python D3QN_PER_image_add_sensor_dynamic_10obstacle_world_30m_test.py

**python3下用的venv 自带模块**
安装虚拟环境
wan@wan-OMEN-Gaming-Laptop-16-ae0xxx:~$ python3 -m venv myenv38
**激活虚拟环境
wan@wan-OMEN-Gaming-Laptop-16-ae0xxx:~$ source myenv38/bin/activate**
(myenv38) wan@wan-OMEN-Gaming-Laptop-16-ae0xxx:~$ 

**python2下用virtualenv**
安装虚拟环境
wan@wan-OMEN-Gaming-Laptop-16-ae0xxx:~$ virtualenv myenv27
created virtual environment CPython2.7.18.final.0-64 in 176ms
  creator CPython2Posix(dest=/home/wan/myenv27, clear=False, no_vcs_ignore=False, global=False)
  seeder FromAppData(download=False, pip=bundle, wheel=bundle, setuptools=bundle, via=copy, app_data_dir=/home/wan/.local/share/virtualenv)
    added seed packages: pip==20.3.4, setuptools==44.1.1, wheel==0.37.1
  activators NushellActivator,PythonActivator,FishActivator,CShellActivator,PowerShellActivator,BashActivator
**激活虚拟环境
wan@wan-OMEN-Gaming-Laptop-16-ae0xxx:~$ source myenv27/bin/activate**
(myenv27) wan@wan-OMEN-Gaming-Laptop-16-ae0xxx:~$ 

pip和pip2对应python2.7  pip3对应python3

深度学习环境
python 3.8.10
tensorflow 2.13.1
cuda 11.8
cudnn 8.6


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