Comments (2)
I had hoped to incorporate subsections of the tracking challenge videos in the trackpy-examples repo. Acquiring them from the "tracking challenge" requires user registration, which only especially committed contributors would bother to do.
For the present, Erik declined to give permission to redistribute the video, but he supports my intention to use it and direct others to use it too:
Thanks for your interest. We are still in the process of revamping the website and writing down the precise conditions of further usage of the challenge material. As indicated on the website, originally the material was available only to registered participants and only for the purpose of the challenge. Now that the challenge paper is published we will open up the usage for anyone interested in benchmarking their algorithms. However, at least for this moment, we ask people not to redistribute the material but to provide a link to the website, so that the website remains the centralized repository for the challenge material, where all complete info can be found.
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The solution may be to make sure they provide a stable url and we just need to learn enough of urllib
to fetch files. In the end, that is better anyway so we don't have to put all that binary data in our repositories.
If we are super clever, we could get our wrappers to open urls just as easily as local files.
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Related Issues (20)
- object has no attribute 'long_name' (when inspecting 'frame') HOT 2
- tp.emsd TypeError: mean() got an unexpected keyword argument 'level' HOT 7
- 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
- tp.batch does not perform batch correctly (all frames output as 0) HOT 3
- 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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