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This library is a collection of image processing and computer vision algorithms. It uses Blaze for matrix computations and Boost.GIL for image input/output and encoding.

Installation

Since it uses both Blaze and GIL, those have to be installed on the system, along with all the dependencies. Here is the full list of dependencies

Boost 1.72 (header only libraries and filesystem)
libpng
libtiff
libtiffxx
libjpeg
libraw
Blaze (3.7+, preferably 3.8)
BLAS library (only Intel MKL is supported for now, but the rest will be added later)

The easiest way to consume the library is to pass -DBOOST_ROOT=<Boost root> and -DMKLROOT=<intel root>/mkl along with -DUSE_CONAN=1. That will install all of the image libraries for GIL. If USE_CONAN is not specified, those libraries have to be findable by find_package of CMake.

Testing

Tests are written using Catch2 library. It has to be findable by find_package to run tests.

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A collection of image processing and computer vision algorithms in C++17 using Boost.GIL and Blaze linear algebra library

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