darknet
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How do the parameters "ignore_thresh" and "iou_thresh" contribute to the training of a yolo detector model ?
Hi, I am a little confused about the parameters "iou_thresh" and "ignore_thresh". As per my understanding, "iou_thresh" decides if the predicted bbox is to be considered during training to contribute to the loss if the iou of predicted bbox > ground truth bbox. I feel like "ignore_thresh does" the same thing but i am unable to understand it clearly.