keras-rcnn has two region proposal network (RPN) loss layers (RPNClassificationLoss and RPNRegressionLoss) and two region-based convolutional neural network (RCNN) layers (RCNNClassification and RCNNRegression). I think it makes sense to combine the two RPN layers into one RPN layer and the two RCNN layers into one RCNN layer in an effort to further simplify the keras-rcnn’s public API.
keras-rcnn has two region proposal network (RPN) loss layers (
RPNClassificationLoss
andRPNRegressionLoss
) and two region-based convolutional neural network (RCNN) layers (RCNNClassification
andRCNNRegression
). I think it makes sense to combine the two RPN layers into one RPN layer and the two RCNN layers into one RCNN layer in an effort to further simplify the keras-rcnn’s public API.