tobac
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tobac-project
Tracking and object-based analysis of clouds
Another suggestion originating from my work with `linking_trackpy()`: I think the default value for `adaptive_step` should be changed from _None_ to _0.95_ like in the original trackpy implementation. As long...
This PR brings over most of the documentation page improvements from #127 , and should pair nicely with #138 . * [x] Have you followed our guidelines in CONTRIBUTING.md? *...
Currently, the center point locations (`lat, lon`/ `x,y`) the threshold (`threshold_value`) and the number of grid cells within that threshold (`num`) are the only info that we save about individual...
Extensive update of tobac capabilities and procedures by myself and @freemansw1 . Many substantial changes to code, such as: - Inclusion of the vertical dimension for 3D feature detection and...
As noted by @snilsn in #155, several of the functions in `plotting.py` do not currently work. His notebook is here: https://github.com/snilsn/tobac_functions/blob/master/plotting_functions.ipynb which contains a list and description of several of...
Right now, our codecov.io integration for CI fails when coverage drops at all. I'm not sure this is desired behavior, especially when coverage drops just a little bit. We should...
I'm opening this as an overarching issue of resolving the differences between v1.x and v2.x and allowing codebases to work with either without modification. I encourage discussion of this current...
I am wondering how to deal with very large datasets. Say you want to perform the tracking on 30-min time slots for several years. What method would you suggest for...
As `linking_trackpy` uses the mask and features (generated by `segmentation`) to track data, the `feature` in the track should also exist in the mask. However, it's not. I write a...
After some discussions, @freemansw1 and I came to the conclusion that would be useful and rather easy to allow different minimum areas for different thresholds in the multithreshold feature detection....
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Tracking and object-based analysis of clouds