30 FPS OpenPose using rt-ai Edge scaling and iOSEdgeRemote

Combining the rt-ai Edge Scaler SPE, the OpenPose GPU SPE and iOSEdgeRemote running on an iPad as a camera/display generated some pretty good results, shown in the screen capture above. Full frame rate (30 frames per second) in OpenBose Body mode was obtained running one OpenPoseGPU SPE instance on each of two nodes: Default (equipped with a GTX 1080 ti GPU) and Node110 (equipped with a GTX 1080 GPU). The Scaler SPE divided up the video stream between the two OpenPoseGPU SPEs in order to share the load between the GPUs, performing its usual reassembly and reordering to generate a complete output stream after parallel processing. Latency was not noticeable.


As another experiment, I tried to achieve the same result with just one node, Default, the GTX 1080 ti node. The resulting configuration that ran at the full 30 FPS is shown above. Three OpenPoseGPU SPEs were required to achieve 30 FPS in this case, two topped out at 27 FPS.


In addition, 22 FPS was obtained in OpenPose Body and Face mode, this time using the second node (Node110) for the OpenPoseGPU2 block. Running OpenPoseGPU2 on the Default node along with the other two did not improve performance, presumably because the GPU was saturating.

 

Resources for learning about quantum computing

It’s not too hard to understand the basics of quantum computing in qualitative, overview terms but I have decided that a fun project would be to actually understand the practicalities of quantum computers and the algorithms that run on them.

There doesn’t seem to be any interesting online courses around at the moment so I have been working through this book which does indeed provide a nice progressive path through the subject. In addition I came across this course and complete course notes that also seems to provide a pretty good explanation of things.

There’s really no need to understand everything about quantum mechanics – just a few key principles that are relevant. It’s a bit like you don’t have to understand exactly how electrons and holes flow in a transistor in order to put together logic gates or write code executed by a processor. Follow the rules and everything should just work.

My goal is to be able to do something interesting with one of the various quantum computer simulators that are available – there are a list of them here. An especially interesting example is the Quantum Computing Playground which uses WebGL to provide a GPU-enhanced simulation.