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CellViT-plus-plus
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Name
Complexity
Churn
Issues
A
cellvit\models\cell_segmentation\postprocessing.py
27 1 -
A
cellvit\training\datasets\nucls.py
27 1 1
A
cellvit\inference\overlap_cell_cleaner.py
28 1 1
A
cellvit\training\utils\tools.py
29 1 -
A
cellvit\models\utils\sam_utils.py
31 1 -
A
cellvit\utils\tools.py
33 1 -
A
cellvit\training\trainer\trainer_cell_classifier_midog.py
37 1 -
A
viewer\SlideProvider\slide_provider.py
37 1 2
A
cellvit\training\trainer\trainer_cell_classifier_lizard_preextracted.py
38 1 -
A
cellvit\models\utils\uni_utils.py
40 1 -
A
cellvit\training\evaluate\inference_cellvit_experiment_consep.py
40 1 2
A
cellvit\training\trainer\trainer_pretrain_cellvit.py
40 1 -
A
cellvit\training\evaluate\inference_cellvit_experiment_classifier.py
42 1 1
A
cellvit\training\evaluate\inference_cellvit_experiment_segpath.py
42 1 -
A
cellvit\training\evaluate\inference_cellvit_experiment_ocelot.py
43 1 -
A
cellvit\models\base\vision_transformer.py
43 1 1
A
viewer\Viewer\main.js
45 1 -
A
cellvit\training\trainer\trainer_cell_classifier_segpath.py
47 1 1
A
histomics_features\extract_features.py
47 1 -
A
cellvit\training\evaluate\inference_cellvit_experiment_nucls.py
49 1 3