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Realtime C++ code for multi-person pose estimation

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Are there any options to increase fps besides reducing resolution or adding GPUs? Is it possible to restrict detection to certain joints (e.g. Heads) in order to speed up processing?

I downloaded the caffe_rtpose without modification and tried to use it to re-train the openpose model, however, I got the error: Error parsing text-format caffe.NetParameter: 11:23: Message type "caffe.LayerParameter" has...

Hi, I followed the steps described in the guide and I got this error when trying to build matcaffe: '/Realtime_Multi-Person_Pose_Estimation/caffe_demo/matlab/+caffe/private/caffe_.mexa64': /Realtime_Multi-Person_Pose_Estimation/caffe_demo/matlab/+caffe/private/caffe_.mexa64: undefined symbol: _ZN2cv11getTextSizeERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEidiPi Any solution? Thank you.

I'm not too much of an expert on this, but is it possible to use binarized neural networks to improve the performance of this project?