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Similarity Based Patch Agglomeration (SPBA). Classes and algorithms for aerial image segmentation focussing on unsupervised texture based clustering. Development is done in Anaconda on top of SciKit Image.

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Similarity Based Patch Agglomeration (SPBA)

Classes and algorithms for aerial image segmentation focussing on unsupervised texture based clustering. Development is done in Anaconda 3 on top of SciKit Image.

Installation

For running SBPA you will need Anaconda 3

Install Anaconda for Python 3.6 https://anaconda.org/anaconda/python

On Windows you will need a compiler like Visual Studio. If you use Visual Studio you will need the C++ and Python extensions It turned out to be a good solution to first install Visual Studio and afterwards Anaconda. This ensures the Anaconda Cython installation gets the correct include and library paths it needs for compiling the scripts.

Install Visual Studio https://visualstudio.microsoft.com/de/vs/community/

On Linux everything should work fine as long as you have the build-essentials (gcc, etc.)

Compile Cython files

Navigate to the _LBP folder and run python setup.py build_ext --inplace in your Anaconda prompt (Windows) or your terminal (Linux).

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Similarity Based Patch Agglomeration (SPBA). Classes and algorithms for aerial image segmentation focussing on unsupervised texture based clustering. Development is done in Anaconda on top of SciKit Image.

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