confusion about MultiBoxTarget
Hi , I have a question about MultiBoxTarget layer. Why ssd uses MultiBoxTarget layer to do things like assigning positive and negative samples? I think these processings could be done when making a dataset, because all the default boxes are fixed, so I might just match these default boxes to image's ground truth bounding box. This way would save a lot of time during training. Is there anything wrong with this idea?
refer to the paper about data augmentation.
Ground-truths changing all the time after augmentation. So it's better to put that into layers.
@nopattern @zhreshold Thank you very much! I get it.