I'm going to be showing a great deal of ignorance in this post, but who knows, it might help.
I understand an issue recently discussed with embodiment concerns methods for processing visual input. It's well known that at this time sending raw video into atomspace is a bad idea and that humans have built in visual processors that assist our conscious minds in understanding what our eyes see. (Obvious simple example being that the image is preflipped). I understand opencog has (in some form) a python api which leads me to think using the visual processing engine OpenCV may not be a bad idea. It has a fantastic python api, allows for exporting specific data from raw video such as "33% of the screen is red", or there are 2 lines in the field of view." it also has a PHENOMINAL foreground/background separation engine that allows only a processing of new or moving objects in the field of view. While a more mature opencog engine may prefer a more "raw" processor, I see OpenCV as a great place to start for getting useful information into atomspace quickly. I have yet to start work on this, heck, I have yet to fully learn the ropes of the current opencog system, but I wanted to at least drop the info here in case anyone else had comments or wanted to get a head-start on me. Best regards my friends. Noah B. PS: My personal experience with OpenCV was specifically dealing with automated turrets. There are great YouTube examples of using OpenCV for face-tracking webcams attached to servos, and blob isolating security cameras if you wanted specific examples to look up. -- You received this message because you are subscribed to the Google Groups "opencog" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at https://groups.google.com/group/opencog. To view this discussion on the web visit https://groups.google.com/d/msgid/opencog/1baaeade-567a-4456-aaa3-85e2b003fc7b%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
