CloudComPy_Conda39_Linux64_20220320
CloudComPy For Linux 64 - Anaconda3, Python 3.9 - March 20, 2022
CloudComPy For Linux 64 - Anaconda3, Python 3.9 - March 20, 2022
WARNING: the lastest updates of conda packages are no more compatible with this binary (and older ones): If you have a working conda environment for a recent CloudComPy binary, keep it! In case of problems look at the conda list and compare it with the output of conda list
command in the conda CloudCompy39 environment. Major version changes may induce problems.
If you need to create or recreate the CloudCompy39 conda environment please use the following (warning: commands are slightly different between Linux and Windows):
conda update -y -n base -c defaults conda conda activate conda create -y --name CloudComPy39 python=3.9 # --- erase previous env if existing conda activate CloudComPy39 conda config --add channels conda-forge conda config --set channel_priority strict conda install -y "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"
This version brings the following features:
- Add access to plugin PCV (ShadeVis) on Windows and Linux (issue #24). See test032.py.
- Add access to plugin HPR on Windows and Linux (issue#25). See test033.py.
- Add access to plugin MeshBoolean on Windows and Linux. See test034.py.
- The wrapping of the C2M and C2C algorithms has been rewritten. In some situations, the results were wrong (issue #26). Methods have been added or rewritten to facilitate parameterization that gives correct performance: ComputeApproxDistance methods with statistics, method for estimating the correct octree level. Automatic tests (test009.py, test010.py, test022.py) have been adapted. The performance tests (on Linux) shows no degradation between the GUI and CloudComPy.
- Various improvements and bug fixes.
This binary works only on Linux 64, on recent distributions, and with Anaconda3 as described in README, not anywhere else!
This binary requires also libomp.so.5 installed on the system: for ubuntu
sudo apt-get install libomp5
Only tested un Ubuntu 20.04 (focal), please report any problems on other distributions.
GLIBC version should be 2.29 or more.
License Agreement
GNU GPL V3 licence text