/TVflowC--

Total Variation (TV) flow implementation in C/C++

Primary LanguageC++MIT LicenseMIT

Total Variation (TV) flow implementation in C/C++

Download

git clone --recursive https://github.com/rmukh/TVflowC--.git

Pre-requisites

Eigen3 library. It must be 'installed' before building or running python installation (it invokes the building process). The simplies instruction

Installation

You can install the python package as

cd TVflowC--
python -m pip install .

It will automatically invoke the building process.

Building

The simples procedure to build the project as a shared library with python build is:

cd TVflowC--
mkdir build
cd build
cmake .. *optionally might require* -DEigen3_DIR=path/to/installed/eigen3
cmake --build . --config Release -j #number_of_threads
cmake install --build

Examples

You can learn the most basic usage example in examples/main_gray_test.py

It requires: matplotlib and Pillow libraries to be installed

More details you can find at https://rinatm.com/total-variation-flow-implementation-in-c-c/