I have about 1.5 years of experience doing vision and image processing programming in C++. I've implemented things like FFT, Wavelet transform, Principal Component Analysis for face recognition, etc. I've used Python as a glue language off and on for maybe 3 years, but again just started using SciPy seriously in the last few weeks. Actually your SciPy 2010 paper was part of what made me decide to give it a try and it's proven to be a really nice environment to work in (though I'm still learning the "vectorized programming" mindset). Finally re: the OpenCV wrappers: I agree with your take on it. For one thing the OpenCV python bindings in 2.2 were re-written and are much better than they used to be [1], but on the other hand they still feel clunky compared to how seamless the SciPy libraries are ("What do you mean I have to convert this array to a CvMat?"). So I'd love to see more of that implemented directly in scikits.image. So let me know what you think would be good to work on also and I'll try to integrate your feedback with Stefan's and put together some kind of plan of attack. Thanks, Dan [1] http://opencv.willowgarage.com/wiki/OpenCV%20Change%20Logs On Wed, Mar 16, 2011 at 6:50 AM, Chris Colbert <sccolbert@gmail.com> wrote:
On Tue, Mar 15, 2011 at 10:42 PM, Dan Farmer <dfarmernv@gmail.com> wrote:
Hello, I've recently started using SciPy/NumPy for my computer vision research work and I wanted to get involved with scikits.image to help build a useful library and to learn more about NumPy and Cython programming. I looked at the tasks list and it seems there is a range of work from fairly simple integration work to some high-end plans (OpenCL backend, etc.). So I thought I might start with e.g., merging some of the Cell Profiler code, but then I saw that there are 24 forks of scikits.image on github and it's not clear to me what is already being worked on. So I thought I would just ask if someone could point me in the direction of some entry level work to do? Actually I just thought of something else, what is required to update the OpenCV bindings for OpenCV 2.2? I can't seem to use scikits.image at the moment because it can't find the opencv that it's looking for (the default Python bindings for 2.2 work, and native C++ code works too -- so it's definitely installed correctly).
Are you getting an error message printed to the console that says the opencv libs can't be found? i.e.: In [1]: from scikits.image import opencv /Library/Frameworks/Python.framework/Versions/7.0/lib/python2.7/site-packages/scikits/image/opencv/_libimport.py:55: RuntimeWarning: The opencv libraries were not found. Please ensure that they are installed and available on the system path. 'The opencv libraries were not found. Please ensure that they ' *** Skipping import of OpenCV functions. That line is just stating the libs can't be found and we probably need to update the code which does the search for the libs. On the other hand, I originally wrote the OpenCV bindings as a stop-gap while we added functionality to the scikit (and because I wanted to see if I could get opencv to share memory with numpy). Rather than continuing to maintain the OpenCV wrappers, I would rather see effort focused on replacing the functionality that's there with our own equally performant codes. What is your Python and programming experience level in general? I can help you find something appropriate to work on.