This will run on your laptop or embedded devices (even without gpu).
It seems to be a good technique to create various application examples.
[Call for join on opensource project]
I recently re-implemented CMU's openpose which is one of the best model to estimate human pose in realtime with powerful 'GPUs'
With that reimplementation, I have made a couple of changes like tuning network architecture.
Especially, by using mobilenet's 'Depthwise Separable Convolution', the model can be improved to run realtime even in an low-power embedded device or laptop without a GPU.
But I think, there are much room for improvement in speed and accuracy. So I'm finding crews to help this opensource project to research further. Anyone can join via online.