The April 9, 2022 version of the Linux64 Anaconda 3 binary is available here.

Please have a look at README for requirements.

This version brings the following features:

• Update to CloudCompare 2.12.0 (april 7 2022)
• Add access to plugin RANSAC_SD on Windows and Linux (issue #27). See test035.py.
• Cross-section methods (issue #27). See test036.py
• Extract Connected Components (issue #27). See test037.py
• fix tests, activate trace on all tests to improve debug
• add methods on primitives
• fix a bug in conversion from C++ to Python, where objects name are missing.
• fix keyword arguments problems when default value is nullptr
• update README files, and add them in binary.
• fix several mistakes in doc

• Remark: the large size of the file is due to the change of compiler (gcc instead of clang). The plugin RANSAC_SD does not work properly when compiled with clang... One way to obtain lighter files is to remove the debug information from the binaries. To be tested with the next release.

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.

Please report any problem on github.

Corresponding git tag CloudComPy_master_20220409.

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"

The March 20, 2022 version of the Linux64 Anaconda 3 binary is available here.

Please have a look at README for requirements.

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.

Please report any problem on github.

Corresponding git tag CloudComPy_master_20220320.

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"

The February 17, 2022 version of the Linux64 Anaconda 3 binary is available here.

Please have a look at README for requirements.

This version brings the following features:

• Allow keyword arguments on methods with optional arguments, to avoid to fill a long list of default values (issue #20). See for instance test025.py in doc/PythonAPI/test025.py, where the methods have about 20 arguments with only two mandatory. The keyword arguments are not yet implemented on methods without optional arguments.
• Debug traces from C++ are extended to messages from CloudCompare (the same we get on the CloudCompare GUI console). Need the environment variable CCTRACE=ON
• Fix several problems related to las driver (issue #20):
  • - On Linux, set the locale to C (same as default US locale) to avoid conversion problems from string to float.
  • - The latest version of PDAL (2.3.0) is more restrictive on dimension names than 2.1.0.
• Python package restructuration to handle properly the standard plugins: to get access to the wrapped methods of a plugin, this plugin must be explicitely imported: see for instance doc/PythonAPI/test030.py (plugin M3C2) the plugin M3C2 is the only standard plugin wrapped for the moment (issue #16).
• Add some features to Rasterization (issue #21)
• 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.

Please report any problem on github.

Corresponding git tag 'CloudComPy_master_20220218'.