evaluation_metrics

[mohitchiku]

how to get mAP, mAR, F1_score using utils.compute_ap(..) https://github.com/sachinraja13/TabStructNet/blob/master/mrcnn/utils.py#L717

[gauravlochab]

you can refer to the issues in matterport Maskrcnn repo and can add custom callback
matterport/Mask_RCNN#1024 (comment)

[saharudra]

That would only calculate these metrics for the cell-detection part of the network. To calculate row/col adjacency F1 score, the model is passing tab_results to coco evaluation which doesn't calculate row/col adjacency from what I know.

I might be missing something but how is these metrics calculated for the Table Structure Recognition tasks to fill up Table 4 in the paper?