plant-seg
plant-seg copied to clipboard
A tool for cell instance aware segmentation in densely packed 3D volumetric images
- [x] Unet predictions follow the AbstractStep like the rest of the pipeline - [x] New in-memory array loader and predictor - [x] Implement all steps as pure functions (preprocessing,...
Found the code not working when I was doing LMC yesterday. `lifted_costs` is now created as a 1D `float64` array, `lifted_costs = np.zeros(len(lifted_labels), dtype="float64")`, in `elf`'s `lifted_problem_from_segmentation()`. Should fix #109...
Dear authors, I'm trying to run plant-seg on 2d confocal images of root meristems stained with FM4-64. I tried the confocal_2D_unet_bce_dice and the confocal_PNAS_2d model. Both models run smoothly after...
Hi Thank you for making this software available. I would like to use nuclear prediction label map from StarDist for the Lifted MultiCut segmentation as part of the Plantseg workflow....
Default configs with patch 80x150x150 and 3D GASP Error ``` 2022-02-01 17:08:40,882 [ThreadPoolExecutor-0_0] INFO PlantSeg - Executing pipeline step: 'segmentation_postprocessing'. Parameters: '{'factor': [1.0, 1.0, 1.0], 'order': 0, 'save_raw': True, 'state':...
Currently while executing the PlantSeg pipeline it creates a directory structure which depends on whether some of the pipeline stages were enabled or not, and the directory names correspond to...
It would convenient to execute multiple partitioning algorithms and save the results in a single h5 file, so that one can easily compare the results. We could make that option...
* Currently not functional - problem with running two servers? * Files mostly auto generated from npm, my code is in App.js * Working towards getting a list of tasks...
Hello, When I try to run plant-seg on multiple images in a folder, after completing the predictions for the first image, I get the following message: [...] `File "h5py\_objects.pyx", line...