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Hexagonal-cartesian grid conversion

This is an implementation of (part of) the algorithm described in Condat et al. Reversible, fast, and high-quality grid conversions, IEEE Transactions on Image Processing, vol. 17, no. 5, pp. 679-693, May 2008. It transforms data sampled on a hexagonal grid, such as an X-ray detector with hexagonal pixels, into a conventional cartesian lattice.

Specifically, it implements what that paper describes as a Type II fractional delay filter, with N=2.

This package is based on code written by Andreas Scherz and Rafael Gort.

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Source distribution for condat-gridconv 0.3
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condat_gridconv-0.3-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl CPython 3.13 CPython 3.13 Linux glibc 2.17+ x86-64, Linux glibc 2.28+ x86-64 Details
condat_gridconv-0.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl CPython 3.12 CPython 3.12 Linux glibc 2.17+ x86-64, Linux glibc 2.28+ x86-64 Details
condat_gridconv-0.3-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl CPython 3.11 CPython 3.11 Linux glibc 2.17+ x86-64, Linux glibc 2.28+ x86-64 Details
condat_gridconv-0.3-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl CPython 3.10 CPython 3.10 Linux glibc 2.17+ x86-64, Linux glibc 2.28+ x86-64 Details
condat_gridconv-0.3-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl CPython 3.9 CPython 3.9 Linux glibc 2.17+ x86-64, Linux glibc 2.28+ x86-64 Details

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