On 13 août 2014, at 10:35, Petr Baudis <[email protected]> wrote:

>  Hi!
> 
> On Tue, Aug 12, 2014 at 01:15:11PM +0100, Aja Huang wrote:
>> Several cameras are relaying the games of the best players. A smart optical
>> recognition program automatically converts the streaming images to sgfs and
>> sends them to a Go program. The Go program then shows rich analyses over
>> the games, such as wining rate, best moves, principal variations, estimated
>> territories, etc, even predicts the next moves. A spectator is watching a
>> friend's game and wondering who is ahead. He doesn't understand Go very
>> well. He uses his android phone takes a snapshot. After 3 seconds, the Go
>> software oh his phone immediately tells him that his friend is ahead for 20
>> points and winning with 90% chance.
> 
>  I'm sure we will get there, and maybe it won't take so long. :-)
> Working on a reliable recognition could be a good first step.  I think
> analysis of the top boards is the most difficult part as it's similar
> difficulty as playing on that level.
> 
>  I think Remi is best positioned to build something like this as he has
> most of the pieces.  Otherwise, we'd need a sort of (ideally open)
> ecosystem in the mobile, mainly an app that brings the engine, analysis
> visualization, recognition and some Go GUI all together.  Doesn't
> require any scientific breakthroughs, just patience and technical skill.
> 

There was a bit of irony in Aja’s post, because kifu-snap & Crazy Stone already 
did this in Sibiu. That’s the reason for the last sentence of his message (the 
one you did not quote).

I know the monthly subscription system that Unbalance used for this app turned 
out extremely unpopular, but they are not willing to change it now. Note that 
you can try the app for free for 10 days. If you don’t want to pay, then just 
be careful to cancel your subscription before the end of the 10 days.

I am confident the recognition rate of kifu snap could be improved a lot. But 
I’d rather not claim too much, because it would not be the first time I 
underestimate the difficulty of such tasks. It is a really exciting problem. 
I’ll certainly work on it again when I have some free time, and I’ll follow 
your progress with a lot of interest.

Rémi

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