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segment-tomogram
/ 0.0.2
Segmentation using Random Forest on Embeddings in Chunks
Apply a Random Forest model to embeddings generated by TomoTwin to produce segmentation output, processing in chunks.
Tags
imaging
cryoet
Python
napari
Citation
CellCanvas team.
https://cellcanvas.org
Solution written by
Kyle Harrington
License of solution
MIT
Source Code
View on GitHub
Arguments
--zarrembedding
Path to the input Zarr file containing embeddings (default value: PARAMETER_VALUE)
--zarroutput
Path for the output Zarr file containing segmentation (default value: PARAMETER_VALUE)
--modelpath
Path to the joblib file containing the trained Random Forest model (default value: PARAMETER_VALUE)
Usage instructions
Please follow
this link
for details on how to install and run this solution.