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quantumjot
Bayesian multi-object tracking
We could set an environment variable at the top, and use it elsewhere https://docs.github.com/en/actions/learn-github-actions/environment-variables ``` env: python_version: "3.9" ``` _Originally posted by @paddyroddy in https://github.com/quantumjot/BayesianTracker/pull/161#discussion_r904877202_
One common error in configuration is to swap axes with data (e.g. x & y) leading to incorrect tracking. When setting the volume, or adding objects, we should raise a...
https://github.com/quantumjot/BayesianTracker/pull/115 will add a `pytest` fixture for generating an `.h5` file that is used to test the napari btrack reader. Currently it only saves some segmentation objects. It should be...
side-note: since you're packing data files here, you might like to add https://pypi.org/project/check-manifest/ to your CI. Can look something like this: ```yaml check-manifest: name: Check Manifest runs-on: ubuntu-latest steps: -...
See e.g. https://github.com/quantumjot/BayesianTracker/pull/115#discussion_r884937339
Hi Alan/team: We've been working with B-Track on a few projects, and overall it appears to be working super well for tracking cells; however, we can't usually get daughter cells...
Currently, to load data from an h5 file to napari you would need to do the following: ```python with btrack.dataio.HDF5FileHandler("file.h5", "r") as hdf: tracks = hdf.tracks data, properties, graph =...
Is there a way to identify the original mask labels in a track? Thanks for making this package available and please let me know if there's a preferred way to...
