rafaelpadilla / review_object_detection_metrics

Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.
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More convenient Python usage #61

Closed R-Peleg closed 2 years ago

R-Peleg commented 3 years ago

Hi all, thank you for this great tool.

I am using the code here from Python (need to test and compare a model trained in various scenarios) and would like to see some improvements around the usage from code. I can do the code changes around most of this but wanted to make sure it is welcome here in the current community, as they might change a lot of existing code.

The changes that jumped into mind:

Is there any interest besides me in such king of changes?

rafaelpadilla commented 3 years ago

Hi @R-Peleg ,

Thank you for your suggestion.

The package name src comes from the template used to create the structure of the project. So we do not think it is needed right now.

The creation of a pip package is indeed wanted. There is a discussion open for that. I believe the site with the documentation from the docstrings should be made with the pip, right?

Yeah, opening the plot window on the import is a bug and should be fixed.

If you would like to help us with any of these points, you are more than welcome to contribute.

github-actions[bot] commented 2 years ago

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.