This repository implements common functionality for (large-scale) bio-medical image analysis:
- evaluation: evaluation of partitions via rand index and variation of information
- io: common interface for different libraries / formats
- parallel: parallel / larger than memory implementation of common numpy functions
- segmentation: graph-partition based segmentation
- skeleton: skeletonization
- transformation: helper functions for affine transformations
- wrapper: volume wrappers for on-the-fly transformations
and more.
See examples
for some usage examples. For processing large data on a cluster, check out cluster_tools, which uses a lot of elf
functionality internally.
It is used by several down-stream dependencies:
Install the package from source and in development mode via
pip install -e .
or via conda
conda install -c conda-forge python-elf