First run ./precompute/precompute.py to create binary blobs required by the system.
Classifier-Subsystem
./classifier_subsystem/model.py provides a framework to quickly train and evaluate a model.
./classifier_subsystem/knn.py creates a K-NearestNeighbour model, loads samples and trains and evaluates the model.
Additional models should be added in their own file analogous to ./classifier_subsystem/knn.py.
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When building upon this project all 3rd party licenses have to be respected.
This project itself with all its original content, as long as no differing license is stated by the convention defined above, is subject to the MIT License.
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