I am studying the paper of Yolo v1. For the training part, everything is clear to me. I cannot understand how does the confidence works during the inference stage, since Pr(Object) and ground truth are unknown (IOU can't be computed). Moreover, how is the non-maximal suppression applied, as it is necessary to sort bounding boxes by confidence score?
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