Parallelized rotation and flipping INvariant Kohonen maps (PINK)
- C++ with ISO 14 standard (GCC 6.1 and above)
- CMake >= 3.0
- CUDA >= 9.1 (highly recommended because of the speed-up)
- conan.io (optional for C++ dependencies) or
- doxygen 1.8.13 (optional for developer documentation)
Conan.io will install automatically the C++ dependencies (PyBind11 and google-test). Otherwise you can also install these libraries yourself.
We provide deb- and rpm-packages at https://github.com/HITS-AIN/PINK/releases
or you can install PINK from the sources:
cmake -DCMAKE_INSTALL_PREFIX=<INSTALL_PATH> . make install
To train a the self-organizing map (SOM) please execute
Pink --train <image-file> <result-file>
image-file is the input file of images for the training and
result-file is the output file for the trained SOM. All files are in binary mode described here.
To map an image to the trained SOM please execute
Pink --map <image-file> <result-file> <SOM-file>
image-file is the input file of images for the mapping,
SOM-file is the input file for the trained SOM, and
result-file is the output file for the resulting heatmap.
Please use also the command
Pink -h to get more informations about the usage and the options.
For conversion and visualization of images and SOM some python scripts are available.
- convert_data_binary_file.py Convert binary data file from PINK version 1 to 2
- data_precondition.py: Convert numpy into binary files and scale data to be within the range [0.0, 1.0]
- show_heatmap.py: Visualize the mapping result
- show_images.py: Visualize binary images file format
- show_som.py: Visualize binary SOM file format
- train.py: SOM training using the PINK Python interface
Kai Lars Polsterer, Fabian Gieseke, Christian Igel, Bernd Doser, and Nikos Gianniotis. Parallelized rotation and flipping INvariant Kohonen maps (PINK) on GPUs. 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), pp. 405-410, 2016. pdf
Distributed under the GNU GPLv3 License. See accompanying file LICENSE or copy at http://www.gnu.org/licenses/gpl-3.0.html.