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CellViT
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Grade
Name
Complexity
Churn
Issues
C
requirements.txt
 6 7
B
preprocessing\patch_extraction\src\patch_extraction.py
130 6 5
A
cell_segmentation\inference\cell_detection_mp.py
180 1 4
A
preprocessing\patch_extraction\src\utils\patch_util.py
105 5 3
A
cell_segmentation\inference\cell_detection_256.py
109 2 2
A
models\encoders\VIT\vits_histo.py
65 2 2
A
cell_segmentation\inference\cell_detection.py
109 10 2
A
cell_segmentation\inference\inference_cellvit_experiment_pannuke.py
84 1 2
A
models\segmentation\cell_segmentation\cellvit_cpp_net.py
25 2 1
A
cell_segmentation\trainer\trainer_stardist.py
42 1 1
A
cell_segmentation\trainer\trainer_cpp_net.py
6 1 1
A
preprocessing\patch_extraction\src\cli.py
68 6 1
A
cell_segmentation\inference\inference_stardist_experiment_pannuke.py
70 1 1
A
cell_segmentation\datasets\prepare_monuseg.py
11 3 1
A
preprocessing\patch_extraction\src\process_batch.py
18 2 1
A
cell_segmentation\trainer\trainer_cellvit.py
67 4 1
A
base_ml\base_loss.py
77 2 1
A
preprocessing\patch_extraction\src\utils\plotting.py
27 2 1
A
cell_segmentation\experiments\experiment_cellvit_conic.py
89 1 1
A
cell_segmentation\experiments\experiment_cellvit_pannuke.py
94 1 1