CloudComPy For Windows 10 - 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=4.3" "gdal=3.3" "jupyterlab=3.2" "matplotlib=3.5" "mysql=8.0" "numpy=1.22" "opencv=4.5" "openmp=8.0" "pcl=1.11" "pdal=2.3" "psutil=5.9" "qt=5.12" "scipy=1.8" "sphinx_rtd_theme=1.0" "spyder=5.2" "tbb=2021.5" "tbb-devel=2021.5" "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.

See README for installation and use.