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lindt:candybox:how_learning_works [2023/06/05 08:17] superuser |
lindt:candybox:how_learning_works [2023/06/05 08:59] (current) superuser |
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| When two candies are close to each other or touchng AI thinks that this is one single candy. This creates false-positives. To avoid this Voronoi segmentation is used. It puts virtual borders between candies ensuring that touching candies are separate. | When two candies are close to each other or touchng AI thinks that this is one single candy. This creates false-positives. To avoid this Voronoi segmentation is used. It puts virtual borders between candies ensuring that touching candies are separate. | ||
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| + | {{:lindt:candybox:9.png?400|}} | ||
| ==== 8. Color feature classification ==== | ==== 8. Color feature classification ==== | ||
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| During analysis each candy is compared against database of patterns expected at specified position. If the distance is close enough - the candy is good. | During analysis each candy is compared against database of patterns expected at specified position. If the distance is close enough - the candy is good. | ||
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| + | {{:lindt:candybox:10.png?400|}} | ||
| ==== 9. Validation ==== | ==== 9. Validation ==== | ||