Human Pose Estimation Using Deep Learning

 It is amazing how far human pose estimation algorithms have progressed over the last 10 years.  We will start off with a short tutorial on how to use the opensource OpenPose library and it's associated neural net model.  Then we will dive into the underlying algorithm a little it to give you a better sense of how it all works.

The OpenCV DNN (Deep Neural Net) library provides a relatively straightforward way to implement a trained neural net model in either C++ or Python.  Let's check it out.

Here's a link to the OpenPose github depository.

So how does OpenPose work anyway. Let's check out this presentation at CVPR 2017.

Below is a 2 part tutorial on neural net pose estimation and the OpenPose architecture to help you put it all in context.


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