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CellViT-plus-plus
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Grade
Name
Complexity
Churn
Issues
A
histomics_features\classical_models.py
4 1 1
A
cellvit\training\datasets\lizard.py
16 1 1
A
histomics_features\classical_models_loading_debug.py
2 1 1
A
cellvit\training\datasets\nucls.py
27 1 1
A
cellvit\training\datasets\ocelot.py
18 1 1
A
cellvit\training\evaluate\cellpostprocessor.py
24 1 2
A
cellvit\inference\wsi_meta.py
17 1 2
A
cellvit\training\evaluate\inference_cellvit_experiment_segpath.py
42 1 2
A
cellvit\training\base_ml\base_loss.py
77 1 2
A
cellvit\training\trainer\trainer_cell_classifier_lizard_preextracted.py
38 1 2
B
cellvit\training\trainer\trainer_cellvit.py
63 1 2
A
cellvit\training\utils\metrics.py
62 1 2
A
cellvit\training\utils\post_proc_cellvit.py
24 1 2
A
viewer\SlideProvider\slide_provider.py
37 1 2
A
cellvit\models\cell_segmentation\cellvit_virchow.py
10 1 2
A
cellvit\models\cell_segmentation\cellvit_virchow2.py
10 1 2
A
cellvit\inference\inference_memory.py
22 1 2
A
cellvit\inference\overlap_cell_cleaner.py
28 1 2
A
cellvit\training\datasets\segmentation_dataset.py
21 1 2
B
cellvit\training\evaluate\inference_cellvit_experiment_classifier.py
42 1 3