OpenCV can be a big, hard to navigate library, especially if you are just getting started learning computer vision and image processing. The release of OpenCV 3 has only further complicated matters, moving a few important functions around and even…

It was unavoidable — the OpenCV 3 release was bound to break backwards compatibility with some OpenCV 2.4.X functions: cv2.findContours and cv2.normalize come to mind right off the top of my head. So how do you ensure that your code…

A couple weeks ago I provided step-by-step install instructions to setup OpenCV 3.0 and Python 2.7+ on your Ubuntu machine. However, one of the huge benefits of migrating to OpenCV 3.0 is the new Python 3.4+ support. In the previous…

If you’ve had a chance to play around with OpenCV 3 (and do a lot of work with keypoint detectors and feature descriptors) you may have noticed that the SIFT and SURF implementations are no longer included in the OpenCV…

Two weeks ago we kicked off the OpenCV 3.0 install-fest with a tutorial on how to install OpenCV 3.0 and Python 2.7 on OSX. Today I’m back again with another OSX tutorial — only this time we are going to…

Last week we kicked-off the OpenCV 3.0 install fest by detailing how to install OpenCV 3.0 and Python 2.7+ on the OSX platform. Today we are going to continue the OpenCV 3.0 install instruction series by moving over to the…

As I mentioned last week, OpenCV 3.0 is finally here! And if you’ve been paying attention to my Twitter stream, you may have noticed a bunch of tweets regarding installing OpenCV on OSX and Ubuntu (yep, I’ve been tweeting a…

It’s been a long time coming, but OpenCV 3.0 has finally been released! This update is definitely one of the most extensive overhauls to the library in recent years, and boasts increased stability, performance increases, and OpenCL support. But by…