Have you considered training on a bunch of the BadukTV footage that GoGameGuru has access to? I wouldn't be at all surprised if David Ormerod wouldn't run a script for you on all the offline video he has that just takes a screencap every few hundred frames.
You'll get a ton of images, mainly in the following two forms: http://images.gogameguru.com/baduktv/2013/01/20130116_01_Byunsangil_yangdingxin_chinakoreafriendship-1.jpg-- overhead view http://images.gogameguru.com/baduktv/becoming-5kyu/b5k_16-eng-sub-1.jpg -- frontal view with potentially some obstruction from the commentator Just an idea. I'll send you as many of my own images as I can anyway :) Cheers, Adrian On Wed, May 29, 2013 at 4:30 PM, Rémi Coulom <[email protected]> wrote: > > On 29 mai 2013, at 19:38, Gabriel Benmergui wrote: > > > Nice work Remi. Would gladly put up a link on kaya for it. Im assuming > it makes it into sgf? > > Yes, it produces an sgf file. Thanks for the link offer. The app. is > currently very experimental, and maybe not ready for prime time, so I don't > wish to advertise it too much. But feel free to link as you wish. > > > > > A great usage for this would be automatic scribes. > > Yes. For those who are curious, I can give some references: > > Ananta Srisuphab > An application for the game of Go: Automatic live Go recording and > searchable Go database > http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6412186&tag=1 > > Teemu Hirisimaki > Extracting go game positions from photographs > http://users.ics.aalto.fi/thirsima/gocam/gocam.pdf > > Alexander Seewald > Automatic Extraction Of Go Game Positions From Images: A Multi-Strategical > Approach to Constrained Multi-Object Recognition > http://www.seewald.at/files/2007-04.pdf > > Steven Scher > Making Real Games Virtual > > http://users.soe.ucsc.edu/~sscher/publications/ICPR2008-MakingRealGamesVirtual-Poster.pdf > > http://users.soe.ucsc.edu/~sscher/publications/ICPR2008-MakingRealGamesVirtual.pdf > > I found that this problem turns out to be considerably more difficult than > what I thought it would be. Recognizing the board is so obvious for a human > observer, it does not seem like a difficult task for a computer. But it is > really difficult. > > Rémi > _______________________________________________ > Computer-go mailing list > [email protected] > http://dvandva.org/cgi-bin/mailman/listinfo/computer-go >
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