faster_rcnn_pytorch
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Output from the reg layer in RPN.
The reg layer in RPN has 4k outputs encoding the coordinates of k boxes.(from the paper) So what actually this layer predicts?Is it predicting the 4 coordinates of boundary boxes directly or predicting the 4 parameterized coordinates of the bounding box.
Any help is appreciated.
Those outputs only make sense when RPN is trained separately, but here the whole network is trained end to end..