The code is an implementation of the siggraph 2018 paper Progressive Parameterizations .
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Download and install Mingw-w64 from here.
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Download and install Cmake from here.
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Apply for download following the official instructions from https://pardiso-project.org/, it will send you an email which contains the download link and the license number of Pardiso v6.
- Create a new file named as pardiso.lic and copy the license number into it.
- Download the pardiso library from the download link provided by the email.
- Put the pardiso.lic and pardiso library(libpardiso600-WIN-X86-64.dll) into the same folder.
- Set the environment variable PARDISO_LIC_PATH to the path of that folder(use "/" instead of "\" on Windows when filling the path).
- The environment variable OMP_NUM_THREADS should be set according to your CPU cores number( In my experience, 1 is the best choice for pardiso V6. By contrast, full-cores performs the best for pardiso V5).
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Download the OpenMesh from here and compile it with Mingw-w64, copy the libOpenMeshCore.a and libOpenMeshTools.a to the folder "Library/".
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Other dependences such as libgfortran-3.dll, libgfortran-4.dll, libopenblas.dll are provided in the folder “build/”.
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Cmake with the generator options="MinGW Makefiles", mingw32-make, and then it will generate the executable file named PP.exe in the "build/".
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Decompress the data file("data/*.zip") into the "data/" folder directly, run the batch processing file "build/run.bat". The unfolded meshes of all the models appear in the paper will be produced and saved into "build/result/".