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CellViT-plus-plus
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Grade
Name
Complexity
Churn
Issues
C
requirements.txt
 2 12
F
cellvit\training\evaluate\inference_cellvit_experiment_segpath_nucls.py
56 1 9
F
cellvit\training\evaluate\inference_cellvit_experiment_detection.py
61 1 8
F
cellvit\training\experiments\experiment_cell_classifier.py
95 1 8
C
cellvit\training\evaluate\inference_cellvit_experiment_nucls.py
49 1 6
D
cellvit\training\evaluate\inference_cellvit_experiment_panoptils.py
58 1 6
C
cellvit\training\evaluate\inference_cellvit_experiment_lizard.py
65 1 5
B
cellvit\training\evaluate\inference_cellvit_experiment_consep.py
40 1 5
C
cellvit\training\evaluate\inference_cellvit_experiment_lizard_pycaret.py
66 1 5
F
cellvit\training\trainer\trainer_cell_classifier.py
82 1 5
C
cellvit\training\experiments\experiment_cellvit_pannuke.py
100 1 5
C
cellvit\training\evaluate\inference_cellvit_experiment_pannuke.py
76 1 5
B
cellvit\training\trainer\trainer_cell_classifier_segpath.py
47 1 4
B
cellvit\inference\inference_disk.py
73 2 4
A
cellvit\training\trainer\trainer_cell_classifier_nucls_label.py
25 1 3
C
cellvit\inference\postprocessing_cupy.py
68 1 3
B
cellvit\training\evaluate\inference_cellvit_experiment_ocelot.py
43 1 3
B
cellvit\training\evaluate\inference_cellvit_experiment_classifier.py
42 1 3
B
cellvit\models\cell_segmentation\postprocessing.py
27 1 3
A
cellvit\inference\wsi_meta.py
17 1 2