Closed jstriebel closed 1 year ago
Some current features seem like they could be ignored atm, according to @normanrz:
Both of those can be incorporated later.
For a first version that should be able to supersede wkcuber the following features are needed:
- cubing stacks does not seem to be important anymore
what stacks do you mean?
- cubing stacks does not seem to be important anymore
what stacks do you mean?
Having multiple stacks across x-y. We discussed that briefly during the last sprint, and you were mentioning that we don't have such datasets anymore usually.
- cubing stacks does not seem to be important anymore
what stacks do you mean?
Having multiple stacks across x-y. We discussed that briefly during the last sprint, and you were mentioning that we don't have such datasets anymore usually.
Ah ok, you mean tiled stacks. I agree with that.
Superseded by #820 and #825
After having #632 (PR #741) in place,
add_layer_from_images
is a good start to replace/update the current cubing.py and related scripts.The following functionality is lacking in comparison to the current cubing.py script:
Other functionality, that might get into it:
340
tile_cubing.py
), might also fix #44More issues which might get fixed:
729, #273 (via pims_nd2), #171 (via pims), #51, #39, #289 (via bioformats), #427, #282, #281, #280 (via bioformats), large step for #188
Missing formats
Most of the missing formats are just missing extension that need to get monkey-patched into pims ({'jfif', 'mj2', 'jpe', 'jpg2', 'jif', 'jpm', 'jpc', 'jpf', 'jpx', 'j2c'}. From the non-bioformats python implementations czi, dm3 and dm4 are missing, but all of those are included in bioformats. Before relying too much on it, we should compare the memory usage. Depending on this, we should still add our czi, dm3/4 adapters to the pims readers. To use bioformats, we should also adapt the docker image to include a JVM.
Affected libraries: webknossos & wkcuber