So I was bored, didn’t know what to do, started solving problems on codewars (shut up!). There was this little problem there, where they are asking you to compute , for potentially large n’s with precision. It’s easy to see that this needs to be refactored (no need to actually compute factorials), and the solution […]

Computer vision should not be confused with image processing (as we all know). I love building computer vision pipelines, but sometimes menial tasks of pure image processing, automated editing come up. Suppose you had the same astronauts from one of the previous posts participating in a study, where they are actually filmed watching something, say […]

Auto-writing Software Good software writes itself. We all know the patterns and following them makes things easy. Not because we have memorized any monumental volume on design patterns, but because years of experience taught us what should be done on an almost intuitive level. Also in a negative sense. We avoid duplication, globals, encapsulation violations. […]

The Choices I have experimented with OpenCV and Dlib face detection in my computer vision pipeline. Both work well, but the Dlib one worked better: it is more sensitive with (in my case) almost no false positives right out of the box! Dlib uses several HOG filters that account for profile as well as frontal […]

The post on applying GPU to finding Eulerian path mentioned a stumbling block: partitioning a very specific kind of graph. In general, partitioning is a hard problem, NP-hard actually. The graphs we are dealing with are very specific, though, and may be partitioned in time (E – the set of graph edges). Our graphs are […]