Geek tip: ImagingSource camera in Python

In my lab there are some ImagingSource cameras that we use for detection. I was trying to get a model DMK 41BU02 to work so that I could control it directly from my measurement program and not have to use the crappy imaging software that comes with it.

Most USB cameras work with the OpenCV computer vision library without any trouble, and this is how I control them in my instrumentation library, which I wrote in Python. If they don’t work, then there is always an ActiveX interface which usually works.

The ImagingSource cameras, however, include their own driver library, IC Imaging Control. I tried to use SWIG to write a quick Python wrapper for it. However, you can only compile your program with this library if you use Visual C++. Fail!

Thankfully, this article (in German) on the blog of one Edgar Klenske tipped me off: the IC Imaging Control library is itself just a wrapper around DirectShow. That also explains why the headers only compile with VC++. Edgar Klenske’s solution is to use the VideoCapture module, which is itself a wrapper around DirectShow, which comes precompiled so you don’t have to use VC++. Luckily for me, he posted that tip just last week!

And so I was able to subclass my Camera module to interface with DirectShow cameras. Perhaps next I’ll try to install the new OpenCV 2.3 to see if their support for DirectShow has improved any.

My verdict is, never buy any camera from ImagingSource. Their slogan is, ironically, “Technology based on standards.” Sorry, but having your drivers only work with one compiler is more like a lack of standards — standards of both technology and decency.