深度学习激光3D目标检测OpenPCDet安装笔记

安装环境

  1. python=3.7
  2. pytorch=1.3.1
  3. torchvision=0.4.2
  4. cudatoolkit=10.1

具体执行步骤:

conda create -n pytorch-1.3.1 python=3.7(创建环境)
conda activate pytorch-1.3.1(进入环境)
conda install pytorch==1.3.1 torchvision==0.4.2 cudatoolkit=10.1 -c pytorch(安装环境)

执行第三步时,因为pytorch-1.3.1-py3.7_cuda10.1.243_cudnn7.6.3_0.tar.bz2在线安装比较慢,我下载后离线安装:

conda install --offline pytorch-1.3.1-py3.7_cuda10.1.243_cudnn7.6.3_0.tar.bz2

然后重新执行命令,即可完成安装。

conda install pytorch==1.3.1 torchvision==0.4.2 cudatoolkit=10.1 -c pytorch

OpenPCDet demo运行

  1. 进入到/home/higer/apps/OpenPCDet/tools目录

    cd tools/
    
  2. 执行domo命令

    python demo.py --cfg_file cfgs/kitti_models/pv_rcnn.yaml --ckpt pv_rcnn_8369.pth --data_path ../data/kitti/testing/velodyne/000090.bin 
    

安装问题

  1. 安装mayavi报错信息:

     ImportError: Could not import backend for traitsui.  Make sure you have a suitable UI toolkit like PyQt/PySide or wxPython installed.
    

    解决方案:

    sudo pip3 install PyQt5
    
  2. 执行pip install -r requirements.txt 报错信息:

    Requirement already satisfied: numpy in /home/higer/anaconda3/envs/pytorch/lib/python3.6/site-packages (from-r requirements.txt (line 1)) (1.19.2) 
    Requirement already satisfied: six in /home/higer/anaconda3/envs/pytorch/lib/python3.6/site-packages (from tensorboardX->-r requirements.txt (line 4)) (1.15.0)
    

    解决方案:

    pip install --target=/home/higer/anaconda3/envs/pytorch/lib/python3.6/site-packages -r requirements.txt
    

执行结果

在这里插入图片描述
在这里插入图片描述

版权声明:本文为CSDN博主「hello1268」的原创文章,遵循CC 4.0 BY-SA版权协议,转载请附上原文出处链接及本声明。
原文链接:https://blog.csdn.net/hello1268/article/details/110654190

hello1268

我还没有学会写个人说明!

暂无评论

发表评论

相关推荐