Hi Mark,

On Fri, Feb 25, 2022 at 3:39 PM Mark Wigzell <[email protected]> wrote:

>
> I also have some errors coming from the Sophia.blend head on start up. In
> particular it complains of missing NOSE bone, and a number of cyclic
> dependencies between the bones. I haven't got any insight into using
> blender yet, so I'm totally on the outside ot that one.
>

There is a blender mailing list. You should write to it, explain what you
are trying to do, and ask for help. Maybe someone will step up and
volunteer to fix the bugs.  I think these things are "easy" for regular
blender users, and I think that perhaps this project is just sexy enough
that maybe they'd want to help with it.  (cc me. I can say diplomatic
things.)

--linas


>
> On Fri, Feb 25, 2022 at 1:23 PM Linas Vepstas <[email protected]>
> wrote:
>
>> Hi Mark,
>>
>> On Fri, Feb 25, 2022 at 3:15 PM Mark Wigzell <[email protected]>
>> wrote:
>>
>>> Thanks Linas, I do have the vision part working now. (sending ROS
>>> messages for FACES, LOST_FACE and NEW_FACE).
>>>  However I don't have the Eva/Sophia head working yet, I'm working
>>> towards that, any help is welcome.
>>>
>>
>> Well, the glue layer is in
>> https://github.com/opencog/ros-behavior-scripting as mentioned.
>>
>> There's something about moving her eyes, head, here:
>> https://github.com/opencog/ros-behavior-scripting/tree/master/movement
>>
>> Then there's the stuff here:
>> https://github.com/opencog/ros-behavior-scripting/tree/master/sensors
>>
>> The next obvious steps would be to see if you can get her to turn her
>> head and blink from the atomspace apis ... easier said than done; probably
>> soe deep dives are needed for that.
>>
>> --linas
>>
>>
>>> On Fri, Feb 25, 2022 at 12:32 PM Linas Vepstas <[email protected]>
>>> wrote:
>>>
>>>> Hi Mark,
>>>>
>>>> Preface for anyone else reading this: Mark is dusting off the old
>>>> Hanson Robotics code for Eva.  One of the subsystems was face-tracking.
>>>> When your webcam was calibrated correctly, then Eva had this uncanny
>>>> ability to look at you from out of the screen: her eyes would track your
>>>> position. It was really pretty cool, as you really got the sense she was
>>>> looking at you.
>>>>
>>>> Anyway, it seems that Mark has this code working again, or almost
>>>> working? A related gotcha is some of the camera-transforms in Blender
>>>> needed to be adjusted, to accurately reflect that you sit about an
>>>> arms-length away from your computer screen, which is small on laptops but
>>>> big on desktops, etc. so eye tracking didn't work right if all these
>>>> dimensions weren't accounted for. It was kind of tricky to get it all
>>>> right.  But when it worked, it was really cool and even spine-tingling.
>>>>
>>>> What about face recognition? This too worked, in a limited setting: she
>>>> could recognize a handful of faces, and pull out the names of those people
>>>> from a database.  There are then three questions; how did this work, back
>>>> then, how can it be made to work in the short term, and what is the correct
>>>> long-term architecture?
>>>>
>>>> First part: "how did it work back then"? See
>>>> https://github.com/opencog/ros-behavior-scripting The code might be
>>>> bit-rotted, but it worked. (There was some radical meatball surgery towards
>>>> the end; this might need to be revisited.)  The general philosophy, back
>>>> then, was that:
>>>> * The 3D locations of objects (such as faces) would be stored in the
>>>> opencog "spacetime server".
>>>> * The only reason to do this was so that there could be an API for
>>>> verbal propositions: near, far, next to, behind, in front of, to the left
>>>> of, etc. that the language subsystem could use. That API was never built.
>>>> * The AtomSpace would hold all information about everything, e.g face
>>>> #135 is actually Ben who is NN years old, lives in YY, loves robots, and is
>>>> standing "next to" David (as reported by the space-server)
>>>> * Why the AtomSpace? Because its the obvious place where current
>>>> sensory info: sight & sound, can be integrated in with long-term knowledge
>>>> and memories, as well as the dialog/language subsystem, as well as
>>>> controlling movement and behaviour (turn left, right, blink and smile..)
>>>> * Unfortunately, integrating the senses together with the background
>>>> knowledge is hard. It was done in an ad hoc manner, it was
>>>> under-documented, hard to use, hard to understand.  An adequate framework
>>>> was never developed. This is not something one college student can knock
>>>> out in a few weeks. The foundation for that framework is in the
>>>> ros-behavior-scripting git repo. Fragments are in other places, I'd have to
>>>> dig them up.
>>>>
>>>> So ... back to the question: face recognition:  Sure. Whatever. If you
>>>> have a module that can recognize faces, then sure, whatever, have it
>>>> forward that info to the AtomSpace.  That's the easy part.  The hard part
>>>> is to integrate it into the speech subsystem.  So, when a new person
>>>> appears in front of the camera, and says "Hi, my name is Mark", something
>>>> has to extract the word "Mark", realize that "Mark" is someone's name,
>>>> understand that there is probably a real-time correlation between that name
>>>> and what the camera is seeing, take a snapshot of what the camera is
>>>> seeing, and permanently tag that image with the name "Mark". To remember
>>>> it. So that, minutes later, when Mark leaves the room and comes back, or
>>>> months later, after a reboot, Eva still remembers what Mark looks like, as
>>>> well as his favorite color, sports-team, childhood hero, mother's maiden
>>>> name, last four digits of his soc sec and bank account #.
>>>>
>>>> I think all that is doable, and there are many different ways of doing
>>>> the above, from quick short hacks to complicated theoretically-correct
>>>> approaches ... but .. this email is too long, so, let me leave it at that.
>>>>
>>>> -- Linas
>>>>
>>>> On Fri, Feb 25, 2022 at 8:16 AM Mark Wigzell <[email protected]>
>>>> wrote:
>>>>
>>>>> Hi folks, my subject stems from having recently done a deep-dive into
>>>>> the pi_vision implementation. The original face detection and tracking was
>>>>> rusted, so I revamped it. In doing so I added in a hook for eventually
>>>>> augmenting the "new_face" message with some face recognition. I was
>>>>> informed that rather than splicing in some face detection algorithm at the
>>>>> pi_vision level, the "vision" would be to have the image elements reach 
>>>>> the
>>>>> atomspace, and thus allow recognition to occur at a more basic level.
>>>>>
>>>>> Therefore, pursuant to the above, I'm asking for a high level
>>>>> description of how AGI vision could be accomplished. Perhaps we can also
>>>>> address the question of why face detection and tracking are "ok" but face
>>>>> recognition is not? Maybe all processing should be done at a lower level?
>>>>>
>>>>> --
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>>>>> <https://groups.google.com/d/msgid/opencog/CA%2Ba9A7AYNxawVTjbn5sQXp7AjToj1xteyCnCibrBO7TZwDDsSQ%40mail.gmail.com?utm_medium=email&utm_source=footer>
>>>>> .
>>>>>
>>>>
>>>>
>>>> --
>>>> Patrick: Are they laughing at us?
>>>> Sponge Bob: No, Patrick, they are laughing next to us.
>>>>
>>>>
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>>>> .
>>>>
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>>> .
>>>
>>
>>
>> --
>> Patrick: Are they laughing at us?
>> Sponge Bob: No, Patrick, they are laughing next to us.
>>
>>
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>> <https://groups.google.com/d/msgid/opencog/CAHrUA37LfMp5mSa4Uuf20b-ynUfeEFF3aYG4eesOa%2BH5LM%2Byuw%40mail.gmail.com?utm_medium=email&utm_source=footer>
>> .
>>
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> .
>


-- 
Patrick: Are they laughing at us?
Sponge Bob: No, Patrick, they are laughing next to us.

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