SimpleCV is an open source framework for building computer vision applications, user can get access to several high-powered computer vision libraries such as OpenCV without having to learn about bit depths, file formats, color spaces, buffer management, eigenvalues, or matrix versus bitmap storage.
Customer Reviews
Varsha S.
Advanced user of SimpleCVSimpleCV being open source has lots of followers. These followers have contributed over a long time to make this library perfect which means it is ready to use at industry level and all the algorithms are optimized to a great extent.
Computer Vision is a old but still has lots of research going on which means frequently new algorithms are made. SimpleCV has great support for this kind of updates with good documentation.
SimpleCV has some flaws like some API fails for python 2 and works efficiently for python 3. Apart from this everything else is fine and SimpleCV as a whole is a great library.
The use cases of Computer Vision are vast and after the boom of machine learning there are many new of them emerged. I think this is one of the domain that will lead to great careers. SimpleCV is one of the great source to learn Computer Vision as there are number of sources available they can serve you great learning. I highly recommend Computer Vision practitioners to go for SimpleCV.
As we at ML Hub we build solutions to real-world problems using the new-generation technologies. Computer Vision is one of them and SimpleCV is used to build Computer Vision applications. The optimal stack of algorithms provided by SimpleCV is core of any Computer Vision solution we develop in our organization.
This algorithms are used by thousands of people over years so we trust SimpleCV and use it in industry level products.
