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How does it compare to dlib [1], ccv [2] etc.?

[1] https://github.com/davisking/dlib

[2] https://github.com/liuliu/ccv




I like dlib better if you want a swiss army knife of algos.

ccv is moved on to be all-in on neural-network based computer vision and all development effort happened in that area. (Similar can be said for dlib but at least the author still implement random black-box optimizers from time-to-time).

SOD seems try to reimplement some of OpenCV but TBH, these are not "modern" at all. These are 15 year-old algos while works, the useful ___domain is shrinking and people who interested in these also might be looking for hardware-accelerated options (AVX-512 / CUDA etc). Some very specific classic heavy CV applications (such as SLAM) are quickly moving to their own dedicated libs (such as Cartographer from Google or ORB-SLAM).




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