This functionality was migrated to nifty
This repo bundles different metrics for evaluating segmentations (especially for neuron segmentation). Implementation in C++ with python bindings.
Implemented:
- randIndex (implementation taken from Bjoern Andres)
- variationOfInformation (implementation taken from Bjoern Andres)
- randFScore (implementation adapted from https://github.com/fiji/Trainable_Segmentation/blob/master/src/main/java/trainableSegmentation/metrics/RandError.java)
- run cmake in src
- run make in bld
- set pythonpath to bld/python
- proper installers (make install, conda)
- Tests
- Documentation
- more efficient: use same contingency matrix for calculating all measures
- Add randPrecision, randRecall and measures derived from VI
- change pybindings to pybind11