dexp
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royerlab
Dataset EXploration & Processing
https://github.com/royerlab/dexp/blob/6f05363527b7d7b2deb00d51627bece6c91f749f/dexp/cli/dexp_commands/deskew.py#L17-L25 It should validate with the number of selected channels and not the actual number of channels.
Deskewing function `classic_deskew` not working properly, `classic_deskew_dimensionless` is working correctly on the demo/test file, but not the higher-level API.
Right now there are two sub-packages with optimization functions, `dexp.processing.denoising` and `dexp.processing.optimization`. This can be improved, I prefer how the latter is implemented, but the `butterworth_calibrator` has much more functionality...
The tests of `warp_2d.py` and `warp_3d.py` of `interpolation` and `registration` might be redundant and need checking.
- Make CI linting compatible with pre-commit. - Checkout --max-complexity flag, it seems interesting.
We have raw DaXi data in TIFF format, saved by MicroManager. Currently I am running a python script to read the data and save to Zarr. It makes sense to...
This issue seems to be related to Dask, it could be implemented without it.
Currently, dexp commands such as stablize and copy only takes datasets with the same exact shape (except for time dimension). It would be nice to support datasets with different shapes.
This function makes several GPU call but with very little computation.