下载链接：https://www.simulation.openfields.fr/index.php/download-binaries

官方教程：https://github.com/CloudCompare/CloudComPy/blob/master/doc/UseLinuxCondaBinary.md

Installing, testing and using a CloudComPy binary on Linux, with conda

🚫 建议切换SHELL为bash 🚫 我在zsh上安装失败，切换bash成功

先下载 CloudComPy_Conda39_Linux64_-date-.tgz here

GLIBC版本需要2.29以上。

检查GLIBC版本: 

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ldd --version

必须先更新conda 

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conda update -y -n base -c defaults conda

新建一个conda环境 

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conda create --name CloudComPy39 python=3.9

安装需要的包 

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conda activate CloudComPy39
conda config --add channels conda-forge
conda config --set channel_priority strict
conda install "boost=1.72" "cgal=5.0" cmake ffmpeg "gdal=3.3" jupyterlab "matplotlib=3.5" "mysql=8.0" "numpy=1.22" "opencv=4.5.3" "openmp=8.0" "pcl=1.11" "pdal=2.3" "psutil=5.9" "qhull=2019.1" "qt=5.12" "scipy=1.8" sphinx_rtd_theme spyder tbb tbb-devel "xerces-c=3.2"

如果遇到Solving environment: failed with initial frozen solve. Retrying with flexible solve. 可以尝试重新新建一个conda环境

如何使用:

不能用conda activate <env>需要使用 CloudComPy39/bin/condaCloud.sh 替代

将<path install>替换成你的CloudComPy39的目录 

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. <path install>/bin/condaCloud.sh activate CloudComPy39

Remark: 可能需要安装 libomp.so.5: 

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sudo apt-get install libomp5

测试所有项目（大约需要2分钟）: 

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. <path install>/bin/condaCloud.sh activate CloudComPy39
cd  <path install>/doc/PythonAPI_test
ctest

测试会输出到这里: ${HOME}/CloudComPy/Data

在vscode上编辑

如果直接打开在vscode的话就无法import cloudComPy

正确的做法是 

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. <path install>/bin/condaCloud.sh activate CloudComPy39
code -g <folder to edit>

官方文档

https://www.simulation.openfields.fr/documentation/CloudComPy/html/index.html

一些小细节

和open3d不太一样，读取点云数据有两种选择

  1. 需要去修改点云的位置时用toNpArray()

  2. 复制出点云的点时用toNpArrayCopy()

给CloudComPy点云上色

当前版本(2.12)好像存在一些问题，建议转成open3d的数据类型后再添加颜色🤨