StackOverflow2013

Note that there are some explanatory texts on larger screens.

plurals

PO
primarykey
Id
2756179
data
AcceptedAnswerId
0
AnswerCount
0
ClosedDate
CommentCount
0
CommunityOwnedDate
CreationDate
2010-05-03T04:56:26.810
FavoriteCount
0
LastActivityDate
2010-05-03T04:56:26.810
LastEditDate
LastEditorUserId
0
OwnerUserId
288341
ParentId
2597302
PostTypeId
2
Score
9
ViewCount
0
LastEditorDisplayName
text
Body
While image training is "non-trivial" as @Brian said, that will actually be a pretty easy program to write. What you need to do is develop haar classifiers for the dice. You will need 6 classifiers total. The classifiers are the key to good image recongnition, and haar classifiers are the best there are right now. They take a long time to make. Here are some good links to get you familiarized with haar cascades: <a href="http://www.computer-vision-software.com/blog/2009/11/faq-opencv-haartraining/" rel="noreferrer">http://www.computer-vision-software.com/blog/2009/11/faq-opencv-haartraining/</a> <a href="http://www.cognotics.com/opencv/docs/1.0/haartraining.htm" rel="noreferrer">http://www.cognotics.com/opencv/docs/1.0/haartraining.htm</a> <a href="http://note.sonots.com/SciSoftware/haartraining.html" rel="noreferrer">http://note.sonots.com/SciSoftware/haartraining.html</a> Check out this guys youtube video and then download his source from the link he provides in the video to see how he applied the cascade files in EmguCV. It will be something for you to build on. <a href="http://www.youtube.com/watch?v=07QAhRJmcKQ" rel="noreferrer">http://www.youtube.com/watch?v=07QAhRJmcKQ</a> This site posts the link to some source for nice little tool that adds a little automation to cropping the images and creating the index files needed for the creation of the haar cascades. I used it a few months back and I couldn't get it to work right, but I modified it and it worked great for haar (not HMM). If you want the version I modified post back and I will get it to you. <a href="http://sandarenu.blogspot.com/2009/03/opencv-haar-training-resources.html" rel="noreferrer">http://sandarenu.blogspot.com/2009/03/opencv-haar-training-resources.html</a>
Tags
Title
singulars
PostAcceptedAnswerId
1. This table or related slice is empty.
PostParentId
1. PODice face value recognition
 singulars
 PostTypePostTypeId
 PTQuestion
PostTypePostTypeId
1. PTAnswer
UserLastEditorUserId
1. This table or related slice is empty.
UserOwnerUserId
1. USubiquibacon
plurals
PostLinksPostIdRelatedPostId
1. This table or related slice is empty.
PostLinksRelatedPostIdPostId
1. This table or related slice is empty.
PostsAcceptedAnswerId
1. This table or related slice is empty.
PostsParentIdCreationDate
1. This table or related slice is empty.
VotesPostIdCreationDate
1. VO
 singulars
 PostPostId
 PO
 UserUserId
 This table or related slice is empty.
 VoteTypeVoteTypeId
 VTUpMod
2. VO
 singulars
 PostPostId
 PO
 UserUserId
 This table or related slice is empty.
 VoteTypeVoteTypeId
 VTUpMod
3. VO
 singulars
 PostPostId
 PO
 UserUserId
 This table or related slice is empty.
 VoteTypeVoteTypeId
 VTUpMod
CommentsPostId
1. This table or related slice is empty.

Querying!

Guidance

A row detail

Detail views are divided into sections. All the information in the data section comes from columns in the selected row. The other sections display data from other, related rows.

Related data can be related in a to-one or a to-many fashion. Captions of data related in a to-many fashion link to a list view showing a filtered view of the table.

Try moving around until you find a non-empty to-many entry and click on the label to get to one. You can move back to the root by clicking on the database name in the header.