Announcement; I am 94% person!

I am happy to announce that I have been found to be 94% person by darknet. It sure put the case to rest.

I have built it with CPU support only, since cuda install has botched completely on my system, and so it only runs the detection at 0.1 fps.

OctoMY™ on github

I decided to wrap my current code into a project and put it on github. I also made a project page on google sites and bought a domain name for it. The logo I sketched out real quick in inkscape looks like this:

Logo for eight legged madness!

Logo in SVG format can be downloaded here

Currently I have just posted my work-in-progress code that compiles without errors on Ubuntu, but that does not really do anything useful. I will keep this updated as I progress in making the code more useful!

clsurf

Thanks to Mr. Erik Smistad's excellent minimalist introduction to OpenCL, I have managed to set up AMD's OpenCL implementation on my development computer.

Soon after, I had clsurf up and running. It required some massage in order to work with a recent OpenCL version:

#define CL_USE_DEPRECATED_OPENCL_1_1_APIS

But it eventually compiled and ran successfully using CPU device (I don't have a dedicated GPU on my dev computer) to produce this lovely image:

Lena with SURF features marked with clsurf

Not bad for a midnight hack!

Software stack schematic

As in my previous post, here is a draft of how I plan to lay out the software in the DEVOL robot.

DEVOL Software Stack schematic draft

It can be broken down to the following components:

Audio and Video inputs are filtered through a graph of detectors, recognizers and other more or less involved processes that translate them into useful events such as people, objects, facial expressions, distances, location and so forth.

These events are gathered together with sensor inputs in an event inventory where all events are classified, sorted, persisted, enriched and refined in real-time.

The core of the system is the "consciousness driver" which is simply the main loop of the program. It relies heavily on its array of close assistants that are responsible for their respective expertises of keeping up communications with HQ, inducing logic , keeping track of objectives, keeping track of ongoing dialogues, keeping track of appearances in form of pose and avatar and so on.

The consciousness driver will base its decisions on the content of the event inventory and its decisions will result in changes to pose, additions to the local logic facts database, output of audio dialogue and display of avatar on screen.