Hi all, I've been hard at work on a new set of OpenCV bindings that will hopefully solve a lot of the shortcomings with previous attempts. An automatic header parser has been used to generate a full set of Haskell bindings for the C++ API, and I'm now working to create a pleasant Haskell API. The plan is to expose major functionality through pipes for two reasons: 1) OpenCV is not very referentially transparent, and so you're stuck in IO for anything non-trivial. Lazy IO is potentially problematic, and so immediate incorporation of a proper streaming library is probably best. 2) Computer vision algorithms are frequently expressed in terms of pipelines of functionality, and a pipes approach can provide a very natural API for expressing these algorithms. At this stage, I could very much use input from anyone who's interested in these bindings. I've got the basics of a library forming, but there's a ton to do and help in the form of pull requests are very very welcome. I could also use feedback on what's been done so far (especially criticisms) as well as feature requests. The current plan is to develop the pipes API for the core functionality. The plan is to provide the major functionality from core, highgui, imgproc, features2d, contrib, ml, flann, video, and objdetect as quickly as I can before trying to cover any of the more specialized parts of the API. The functions and types from these modules (baring a few major and important exceptions) are automatically translated into C wrappers and raw Haskell bindings. If there's sufficient interest in these raw bindings separately from the API I'm developing, I'll release them as a separate package on Hackage. I'm calling my project revelation for the moment because I'm bad at naming things and it was the best pun I could come up with. Github: www.github.com/arjuncomar/revelation Regards, Arjun