Hello,
I just look at the FasterRCNN code on PyTorch repo and I think I misunderstood some arguments. FasterRCNN have box_nms_thresh as argument, but when testing different inference by setting up the nms with different values, I notice that it actually refer to an IOU threshold, because it will remove boxes that overlap more than the threshold passed.
In my understanding, I think nms threshold have to refer to the task of removing boxes lower than a confidence score (like the box_score_thresh do).
I have a doubt on this one, I would like someone confirm my understanding of the arguments here or explain me how should I understand it.
Thank you
Medhy