Other Software > Developer's Corner
Dice analyzer machine project
Stoic Joker:
Yes, I phrased that badly...but I'm at work/rushing a bit.. :D
The intent was - as you stated - for it to be the bottom of something (I like the bird cage look in the pic), and it's curvature would/should center the die for the camera (theory..).
mouser:
A screenshot showing results of a very quick test of unsupervised clustering.
In this case the system took 17 photos and was told that it was taking a picture of a 6 sided die. It then grouped the 17 photos into 6 clusters most similar to each other.
(There was no stage of training telling it what each side of the die looks like).
This gives you a sense of how the procedure would work for testing a die for fairness. User would insert a die and specify how many unique faces the die has (N). The system would then start rolling the die taking photos, eventually clustering the images into N clusters, and then computing statistics on the frequency and patterns of seeing cluster.
mouser:
What happens if you lie to it and tell it the wrong # of die faces? Glad you asked.
Mistakenly telling it there are 5 unique die faces (2s and 3s look like they are similar enough):
Mistakenly telling it there are 7 unique die faces (hey those two 1s look like different faces):
Deozaan:
A screenshot showing results of a very quick test of unsupervised clustering.
[ Invalid Attachment ]
-mouser (January 26, 2016, 07:25 PM)
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I'm embarrassed to admit that I was staring at the white circles in each of these pictures thinking each circle was a separate die, and I was rather bewildered at how I couldn't tell any of them apart! :-[
Stoic Joker:
I'm embarrassed to admit that I was staring at the white circles in each of these pictures thinking each circle was a separate die, and I was rather bewildered at how I couldn't tell any of them apart! -Deozaan (January 27, 2016, 12:31 AM)
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(You are not alone..) That one threw me for a minute too. I had to scroll down a bit to recognize the pattern.
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