Comments (5)
Hi I've just added TP TN FP FN for metrics returning. For calculating other evaulations I though that it could be helpful. But I hope I did correctly Ive never tried to add pul request actually So I am looking forward your help.. Thank you..
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Hi @oguzcanbekar , Thanks for your attention! I will consider your request these days. Actually, you just opened an issue, instead of a pull request.
If you like, I strongly recommend you to open a new pull request, so that I can check where the file changed. You just need to ford the main branch of the repository, update some file and pull request. No worries, your pull request will not affect the main branch. I will not merge your pull request until I checked it.
from segmentation_metrics.
Hi @oguzcanbekar , I have already added this feature just now. I will release the new package soon.
from segmentation_metrics.
Okay @Jingnan-Jia Thank you very much for your effort. I am looking forward to new package then~
from segmentation_metrics.
@oguzcanbekar I have already add a new argument TPTNFPFN
to return these values.
I also:
- Update the
README.md
file about TPTNFPFN - Added a getting started and tutorial. At the final part of the
tutorial
you can see the new feature. - released new version v1.1.3 including this feature. To use the new feature, please upgrade your package by
pip install seg-metrics --upgrade
- Please re-open this issue if you met some relevant bugs.
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Related Issues (17)
- URGENT: Great package, your myutil.py script not included in pip/git version HOT 1
- AttributeError: module 'numpy' has no attribute 'Array' HOT 1
- TypeError: 'type' object is not subscriptable, line 144 HOT 2
- Import error HOT 6
- "Scan files are None, please check the data directory" HOT 4
- Open-source collaboration
- Code is not working for different cronology in labels HOT 3
- Unit of Volume Similarity HOT 4
- Type error issue when using this package with Pytest HOT 1
- Logging issues HOT 1
- Add .png suffix HOT 3
- Adding .dcm contour data
- Computing values on ground truth does not give perfect scores HOT 8
- Evaluation metric 3D or 2D based segmentation
- what will be the input labels for the function of 'get_metrics_dict_all_labels'? HOT 2
- Potential Documentation Optimization HOT 1
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