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You can write a simple helper function to loop through and write down each bbox, the associated class, and the tile ID to either a dataframe, list or dictionary, and you can count the total number of bboxes (group by their classes).
Additionally, you would want to write a function to get rid the double counting too. Assuming you will see duplicated bboxes over the tile borders. I would write something like, if neighboring two bboxes' IOU > 80%, you will count them as one bbox instead of two.
Dear All,
Has anyone worked on counting the total number of detected objects using tf_od_record.py ?
Thanks in advance.
Best,
Suman
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