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CellViT-plus-plus
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Grade
Name
Complexity
Churn
Issues
B
requirements.txt
 2 7
B
cellvit\training\evaluate\inference_cellvit_experiment_segpath_nucls.py
56 1 4
B
cellvit\training\experiments\experiment_cell_classifier.py
95 1 4
A
cellvit\training\evaluate\inference_cellvit_experiment_nucls.py
49 1 3
A
cellvit\training\evaluate\inference_cellvit_experiment_pannuke.py
76 1 2
A
cellvit\training\evaluate\inference_cellvit_experiment_lizard_pycaret.py
66 1 2
A
cellvit\inference\wsi_meta.py
17 1 2
A
cellvit\training\evaluate\inference_cellvit_experiment_lizard.py
65 1 2
A
cellvit\training\evaluate\inference_cellvit_experiment_consep.py
40 1 2
A
cellvit\inference\inference_disk.py
73 2 2
A
viewer\SlideProvider\slide_provider.py
37 1 2
A
cellvit\models\base\vision_transformer.py
43 1 1
A
cellvit\training\experiments\experiment_cellvit_pannuke.py
100 1 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\evaluate\cellpostprocessor.py
24 1 1
A
cellvit\training\datasets\nucls.py
27 1 1
A
cellvit\training\trainer\trainer_cell_classifier_nucls_label.py
25 1 1
A
cellvit\inference\inference_memory.py
22 1 1
A
cellvit\training\evaluate\inference_cellvit_experiment_classifier.py
42 1 1