Comments (2)
It would be awesome to have the option of manually adding cells that were already missed at the stage of candidate detection to an existing xml file.
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@chrytsi is this taken care of with cellfinder_view
or is there still missing functionality?
from cellfinder.
Related Issues (20)
- Update to Python 3.11
- Update cell classification network HOT 1
- Save models into e.g. `.brainglobe/cellfinder/models`
- Update the sample data
- [Feature] Allow the user to select points from more than one layer at once in the curation interface HOT 2
- [Feature] Warn the user when overwriting training data in the curation interface
- [Feature] Add keyboard shortcuts to the curation interface
- [BUG] CI breaks with pytest v8.0.0 HOT 1
- [BUG] Multiprocessing threading causing timeouts HOT 7
- [BUG] Inappropriate handling of unsigned integer data types HOT 1
- [Feature] Use uint16 for cell candidate detection when signal_array is small, to save memory HOT 3
- [Feature] Refactor so THRESHOLD and SOMA_CENTRE_VALUE are defined in one place
- Analysis csv output does not include data about all cells classified
- Downloading the trained model crashes if the model directory already exists
- [Feature] Benchmark napari versus brainmapper code
- [BUG] Writing custom config is not possible on HPC with shared installation of BrainGlobe
- [BUG] Intermittent Segmentation Faults on CI HOT 14
- Move data loading code to `brainglobe_utils.image_io.load`
- [BUG] Cellfinder seems to get stuck on structure splitting in some situations? HOT 4
- Investigate why there's a transpose operation that cannot be removed. HOT 8
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from cellfinder.