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Very interesting - thanks for the link. (This is exactly what I hoped HN would show me!)

Several interesting things there. The use of Structured Similarity Index (SSIM) is probably better/faster than the Histogram of Oriented Gradients (HOG) that my project uses. And then, at runtime, I'm still doing a brute-force match (which is really slow) -- clearly there are big performance gains to be made by training a classifier.

Their results are really good!



After some more investigation... their paper is interesting. But: it's $25 to download their model file, and the trainer code and training dataset aren't published. Oh well.




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