[GitHub] bharatsingh430 commented on issue #8156: Why mx-rcnn doesn't has proposal_target (cuda or C++) layer?

2018-04-15 Thread GitBox
bharatsingh430 commented on issue #8156: Why mx-rcnn doesn't has 
proposal_target (cuda or C++) layer?
URL: 
https://github.com/apache/incubator-mxnet/issues/8156#issuecomment-381410705
 
 
   I don't think the above repo has the functionality requested. May be you can 
tell which file does that. The caffe equivalent of the operator requested is 
https://github.com/zhaoweicai/cascade-rcnn/blob/master/src/caffe/layers/proposal_target_layer.cu.
 Something close which I found is 
https://github.com/apache/incubator-mxnet/blob/master/src/operator/contrib/multi_proposal-inl.h
 but doesn't perform label assignment or generate bbox weights and targets 
using gt boxes.  I can possibly write this for mxnet and do a PR as I am 
interested in an efficient implementation.


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[GitHub] bharatsingh430 commented on issue #8156: Why mx-rcnn doesn't has proposal_target (cuda or C++) layer?

2018-04-14 Thread GitBox
bharatsingh430 commented on issue #8156: Why mx-rcnn doesn't has 
proposal_target (cuda or C++) layer?
URL: 
https://github.com/apache/incubator-mxnet/issues/8156#issuecomment-381365366
 
 
   For end to end training, its not possible to prefetch. The position of the 
anchor-boxes changes based on the bounding box offsets in RPN and the 
assignment is done after the anchors are refined. The refined anchors (which 
are called proposals) are then compared with ground truth boxes, and label 
assignment is done (which is what proposal target layer does). I don't see how 
it can be done in pre-fetching


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