Tim created another superb solution. The highlights are an elegant center of square's determination using ndgrid. The crux of his method is a convolution for each square not using "same" with an interesting centroid kernel. The comparison between all square convolutions for all rotations utilizes a concise norm metric function. The method should work on non-binary images. The best six matches from the 180x180 upper triangle error array are handily converted into the output format. Thank You Tim for this elegant solution.
Back to basics 6 - Column Vector
Choose the best fitting dominoes
Find the largest value in the 3D matrix
Duplicate each element of a vector.
Method of Common Differences part-1
GJam 2017 Kickstart: Parentheses (Large)
GJam 2012 Qualifier: Tongues
TRON Tourney 000 : Clockwise Wall Hugger
Kaggle 2020 Drone Delivery Contest
RISK Calculator - Large Armies, High Accuracy, Fast
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