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CellViT
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Grade
Name
Complexity
Churn
Issues
A
cell_segmentation\inference\cell_detection_mp.py
128 1 3
B
preprocessing\patch_extraction\src\patch_extraction.py
100 6 4
C
cell_segmentation\experiments\experiment_cellvit_pannuke.py
93 1 8
C
cell_segmentation\experiments\experiment_cellvit_conic.py
88 1 8
F
cell_segmentation\inference\cell_detection.py
87 10 6
C
cell_segmentation\inference\cell_detection_256.py
87 2 5
A
preprocessing\patch_extraction\src\utils\patch_util.py
78 5 3
A
cell_segmentation\inference\inference_cellvit_experiment_monuseg.py
53 1 2
B
cell_segmentation\trainer\trainer_cellvit.py
52 4 5
F
cell_segmentation\inference\inference_cellvit_experiment_pannuke.py
45 1 10
A
base_ml\base_loss.py
45 2 2
A
cell_segmentation\datasets\pannuke.py
43 3 1
A
preprocessing\patch_extraction\src\cli.py
42 6 1
D
cell_segmentation\inference\inference_stardist_experiment_pannuke.py
39 1 9
A
models\segmentation\cell_segmentation\cpp_net_stardist_rn50.py
39 1 1
B
cell_segmentation\trainer\trainer_stardist.py
32 1 8
A
cell_segmentation\experiments\experiment_stardist_pannuke.py
31 1 2
A
utils\tools.py
30 3 -
A
models\encoders\VIT\vits_histo.py
28 2 2
A
cell_segmentation\experiments\experiment_cpp_net_pannuke.py
27 1 2