btrack
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quantumjot
Bayesian multi-object tracking
Currently, we assume the segmentation is anchored in (0,0,0).
The current `_run_tracker` function always calls `segmentation_to_objects` even if we are only changing some config parameters: https://github.com/lowe-lab-ucl/napari-btrack/blob/c294d1ca5c0c894599e464f9183464a2bcd8e4ff/napari_btrack/main.py#L144-L156 we could consider storing these detections, unless the chosen segmentation layer changes, in...
**Describe the bug** **PydanticUserError:** If you use `@root_validator` with pre=False (the default) you MUST specify `skip_on_failure=True`. Note that `@root_validator` is deprecated and should be replaced with `@model_validator`. **Your setup:** Unfortunately...
Could potentially build the C with this apparently https://github.com/scikit-build/scikit-build-core
If an object is moving, it may make more sense to calculate the split geometry from the predicted position, rather than the last known position
When I export the configuration into the `json` file using the `Save configuration` button, the motion model matrices are not written out in the 2D matrix form, but in number-per-line...
Currently, in quantumjot/napari-btrack#26 only `Image` layers can be used. However, it's common to use `Labels` layers for this purpose too, which has the advantage that they can be edited directly...