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CellViT-plus-plus
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Grade
Name
Complexity
Churn
Issues
B
cellvit\training\evaluate\inference_cellvit_experiment_segpath_nucls.py
56 1 4
A
cellvit\training\datasets\midog.py
57 1 -
A
cellvit\training\evaluate\inference_cellvit_experiment_panoptils.py
58 1 1
A
cellvit\training\evaluate\inference_cellvit_experiment_detection.py
61 1 1
A
cellvit\training\utils\metrics.py
62 1 -
A
cellvit\training\trainer\trainer_cellvit.py
63 1 -
A
cellvit\training\datasets\pannuke.py
65 1 -
A
cellvit\training\evaluate\inference_cellvit_experiment_lizard.py
65 1 2
A
cellvit\training\evaluate\inference_cellvit_experiment_lizard_pycaret.py
66 1 2
A
cellvit\inference\postprocessing_cupy.py
68 1 -
A
cellvit\inference\inference_disk.py
73 2 2
A
cellvit\training\evaluate\inference_cellvit_experiment_monuseg.py
73 1 -
A
cellvit\training\evaluate\inference_cellvit_experiment_pannuke.py
76 1 2
A
cellvit\training\base_ml\base_loss.py
77 1 1
A
cellvit\training\trainer\trainer_cell_classifier.py
82 1 -
A
cellvit\training\evaluate\inference_cellvit_experiment_midog.py
90 1 -
B
cellvit\training\experiments\experiment_cell_classifier.py
95 1 4
A
cellvit\training\experiments\experiment_cellvit_pannuke.py
100 1 1