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CellViT-plus-plus
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Grade
Name
Complexity
Churn
Issues
A
cellvit\training\evaluate\ocelot_eval_metrics.py
13 1 -
B
cellvit\training\evaluate\inference_cellvit_experiment_segpath_nucls.py
56 1 4
A
cellvit\training\evaluate\inference_cellvit_experiment_segpath.py
42 1 -
A
cellvit\training\evaluate\inference_cellvit_experiment_panoptils.py
58 1 1
A
cellvit\training\evaluate\inference_cellvit_experiment_pannuke.py
76 1 2
A
cellvit\training\evaluate\inference_cellvit_experiment_ocelot.py
43 1 -
A
cellvit\training\evaluate\inference_cellvit_experiment_nucls.py
49 1 3
A
cellvit\training\evaluate\inference_cellvit_experiment_monuseg.py
73 1 -
A
cellvit\training\evaluate\inference_cellvit_experiment_midog.py
90 1 -
A
cellvit\training\evaluate\inference_cellvit_experiment_lizard_pycaret.py
66 1 2
A
cellvit\training\evaluate\inference_cellvit_experiment_lizard.py
65 1 2
A
cellvit\training\evaluate\inference_cellvit_experiment_detection.py
61 1 1
A
cellvit\training\evaluate\inference_cellvit_experiment_consep.py
40 1 2
A
cellvit\training\evaluate\inference_cellvit_experiment_classifier.py
42 1 1
A
cellvit\training\evaluate\cellpostprocessor.py
24 1 1
A
cellvit\training\evaluate\__init__.py
 1 -
A
cellvit\training\datasets\segpath.py
16 1 -
A
cellvit\training\datasets\segmentation_dataset.py
21 1 -
A
cellvit\training\datasets\prepare_pannuke.py
5 1 -
A
cellvit\training\datasets\panoptils.py
17 1 -