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.
--
Petr Baudis
Life is short, the craft long, opportunity fleeting, experiment
treacherous, judgment difficult. -- Hippocrates
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