I took a course[0] this semester on computer vision with Python, and all of the course material is public on GitHub. It assumes you have experience with Python, basic linear algebra, statistical methods. The projects included stitching panoramas, creating depth maps from stereo images, and tracking objects in a video.

[0]: https://github.com/ut-cs378-vision-2014fall/course-info

If you're interested in doing this sort of stuff in the real world, drop me a note. We're Austin-based and would love to chat.

Do you happen to have the project files (I guess pdf's and starter code?) available?

The project files are pretty specific to the class, but here are the READMEs for each project which should provide you with more than enough guidance.

https://gist.github.com/anonymous/fca8450673410b009228

Thanks!!

On a related note I started doing some of the tutorials on this site [1]. It uses OpenCV as opposed to PCV.

[1] : http://www.pyimagesearch.com

I used to write for http://aishack.in/ - it's in C/C++ and covers most basic topics in computer vision.

Thanks for that site! As a beginning computer vision dabbler, I found it easy to read and with well-written explanations. It gave me a useful place to get started with the basic algorithms and their OpenCV implementations.

Another big thank you from me, too! Your site was indispensable when I was studying CV at university.

I am looking at how to match up products from thousands of ecommerce sites and only recently started looking into doing this with images. This looks like a great resource

You also have scikit-image which is an image processing library in Python [0].

[0] http://scikit-image.org

Ad.

The draft version is Creative Commons licensed.

I wouldn't mind any ads if what they're advertising is instantly available to me at the click of a mouse for absolutely no charge.