New version 2020.12 is out!! #843
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alemuntoni
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The new MeshLab version 2020.12 has just been released!
Difference with 2020.09
User side, compared to 2020.09 there are no new features, but a lot of bugs and unexpected behaviors have been fixed, there are some GUI improvements, and a new version that stores data with double precision (2020.12d) has been released.
The 2020.12d is still a beta version, and it version brings advantages and disadvantages of using double instead of floats: double precision for storing coordinates, normals and all the other possible components of every MeshLab's layer, but also an increased memory usage. 2020.12d will not be linked in the official MeshLab website, therefore it can be downloaded only from the Releases tab of this repository.
If it suits for your purposes, try it! And if there are some issues related to this particular version, just open a new issue specifying if it happens on the double precision version!
MeshLabServer is officially dismissed
MeshLabServer has been officially dismissed in favor of PyMeshLab, our new Python library for mesh batch processing using MeshLab filters. With the 0.1.6 version, PyMeshLab is able to perform all the tasks for what MeshLabServer was commonly used. Please refer to the official documentation and to the filter script page for more information. If there are some issues, feel free to open a new issue, and if you have suggestions on how to improve the library, use the Discussions tab!
Developer POV
From the developer point of view, 2020.12 brings a lot of code refactoring and reorganization, mostly related to the ongoing developement of PyMeshLab.
The main change is related to the build system: we are now using CMake as default build system.
We also have introduced a new category of plugins (
IORasterPlugin
) that is used to import rasters under MeshLab. This allows to easily support other image formats in the future, just by developing new plugins that will take care to load the image file of the new desired format.Share your experience!
Please consider to share with us your experience with MeshLab in the new Discussions tab here on GitHub!
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