Comments (3)
It should default to 'None' and the engine does what is fastest for it?
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@nkeim and I are both finding filter_before
slower in every case, even with numba off, which is a surprise to me. I am sure you can concoct a case where filter_before
is worthwhile, but I'm not sure how rare/strange that data would have to be.
I like your idea of making None
the default going forward. For now, we might have None
become False
internally for every case. If and when we learn more about how to optimize, how to recognize cases where True
runs faster, we can make the internal logic of locate
smarter without changing the API.
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Yes, that is the idea. There is a push to change most of the defaults in mpl to None
for this exact reason.
It also enables you to tell if the user said 'do the default thing' or 'do the same thing as the default'
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Related Issues (20)
- Working on a napari-trackpy plugin HOT 1
- TST: Weird dtype switching on Windows HOT 2
- link_df_iter giving TypeError when using pd.concat?
- level keyword argument was removed in pandas>2.0 HOT 1
- Release v0.6.2 HOT 5
- Tutorial shows problem using latest pandas HOT 2
- Linking using multiple HDF5 files. HOT 1
- Use pims.as_grey instead of image[:, :, 1] in walkthrough tutorial.
- Old Python version in installation instructions
- TST: Need to replace a GitHub action
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- Error in trackpy.emsd() function: TypeError: mean() got an unexpected keyword argument 'level' HOT 5
- `plot_traj3d` throws error
- Locate only within specific ROI HOT 2
- [Question] methods for initial estimation of `minmass` HOT 1
- [Enhancement] Allowing possibility to convert raw image to `uint16`
- [Question] How to add optional arguments in after_locate function in tp.batch HOT 1
- Release v0.6.3
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