The latest version of cv.jit, 1.7.0 is finally out. I say finally because, it’s been on the brim of release for several months now, but life being what it is, I only now managed to put the finishing touches on it.
The most obvious change is that the help files have been completely re-written in Max 5 format. cv.jit 1.6 and earlier help files did not display properly in Max 5, owing to some issue with double-byte comments.
A few objects have been added also. cv.jit.opticalflow combines the functionality of cv.jit.LKflow and cv.jit.HSflow. These were two of the earliest externals I wrote, and I now somewhat regret the decision to keep them separate: they essentially do the same thing, albeit in different ways. cv.jit.opticalflow also adds support for two newer optical flow estimation algorithms: block-matching and a brand-new bleeding-edge real-time algorithm by Gunnar Farnebäck. To go along with this new external (and the two older optical flow objects), I also added a drawing utility, cv.jit.flow.draw that displays the optical flow field using hue for direction and saturation for distance.
Farnebäck optical flow, visualized with cv.jit.flow.draw
I often get questions about tracking blobs, or about dealing with the fact that cv.jit.label doesn’t always give the same label to what we would perceive as being the same object. The new object cv.jit.touches, sorts of addresses these issues. It’s a greyscale/binary region tracker. It assumes that the regions are of roughly the same size and don’t overlap. As the name implies, it was packaged with multi-touch interfaces in mind, and it outputs information such as “touch”, “drag” and “release”, but it can be used with other kinds of inputs.
cv.jit.threshold implements adaptive thresholding, in which each pixel is compared to the average brightness of its surroundings instead of a fixed value. This is especially useful when working under slightly uneven lighting situations.
Finally, cv.jit.grab is a ridiculously simple but very useful abstraction that wraps jit.qt.grab and jit.dx.grab depending on your platform. This allows you to write cross-platform patches.
Another big change, apart from the help files, is that I moved the cv.jit site to my own domain. As mentioned in every help file and abstraction, IAMAS, the great media art institution in Gifu, Japan, has provided support for my work on cv.jit – in the form of computers, software, time, unwitting testers and advice from teachers and colleagues. Alas, my contract having reached its end, I don’t work there anymore and I thought that it might be best if I gathered all my work under the same roof, here. The actual files are hosted on Sourceforge, so that those who are interested in actually doing some development can dig in to the SVN repository.
Head over to the new cv.jit page for downloads!