The June 22, 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 2.12.3 (june 14, 2022)
• get the transformation matrix computed by the fast global registration function in PCL Plugin (issue #35), see test038.py
• compute a scalarField gradient (issue #46), see test003.py
• add an extra parameter to LoadParameters, to give a regex filter to ply reader, extra scalar fields selection (issue #51), see test040.py
• fix ccGLMatrix constructor, provide another alternate constructor and method fromString (issue #52), see test026.py
• build the doc on Windows
• Various small 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_20220513.

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 May 13, 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 2.12.1 (may 7, 2022)
• Fix the doc on RANSAC_SD, primitives types.
• Add option for las/laz version (1.4) (issue #32), see test020.py.
• Plugin PCL (issue #35) see test038.py.
• Mesh triangles iterator functions (issue #36), see test011.py.
• Cut a mesh with a polyline (Crop2D) (issue #38) see test039.py.
• Add functions to handle display state of colors and scalar fields (for save in .bin and opening in GUI) (issue #43).
  See methods in base classes for point clouds: showColors, showSF, showNormals...
• Various small 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_20220513.

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 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"