Copyright © 2018 Michael Lee Rilee, mike@rilee.net, Rilee Systems Technologies LLC
For license information see the file LICENSE that should have accompanied this source.
Connected Component Labeling (CCL) using OpenCV for identifying structures in a stack of 2D data slices.
Simplest usage:
labels = ccl_marker_stack().make_labels_from(data_slices,data_threshold_mnmx)
where data_slices is a list of 2D numpy arrays and data_threshold_mnmx is a (mn,mx) tuple.
pip3 install dask['distributed']
pip3 install opencv-pythonto run the examples:
jupyter hdf5 matplotlib
conda create --name ccl
conda activate ccl
conda install -c conda-forge jupyterlab
conda install -c conda-forge matplotlib
conda install -c conda-forge dask['distributed']
conda install -c conda-forge ipympl
conda install -c conda-forge nodejs
conda install -c conda-forge proj4
conda install -c conda-forge basemap
conda install -c conda-forge netCDF4
conda install -c conda-forge proj4 basemap matplotlib ipympl nodejs ipykernel dask['distributed'] pip
pip install opencv-python
pip install pyhdf
pip install connected-components-3d
conda
python -m ipykernel install --user --name=ccl