I’m setting up the latest OpenCV version from source since the Caffe dependency version installed doesn’t have some tools I want to add to my vision processing pipeline.
I started with grabbing the latest version from github
git clone https://github.com/opencv/opencv
If you haven’t used the GUI version of CMake before, the most import feature you’ll use while setting everything up is the File – Delete Cache command. CMake needs the cache cleared after you fail a configuration attempt or a bad environment generation.
I was really lazy after grabbing the source and didn’t check any of the dependencies involved. CMake found my Cuda installation without any extra config, but there’s a python requirement for both versions 2.7 and 3.4 which I can’t get both to open correctly. %PYTHONHOME% is a serious PITA. Hitting the generate button a few times eventually yielded a successful config regardless.
Once you get the CMake to generate a configuration you can hit the Open Project button to open the project in Visual Studios.
From there, hit Build – Build Solution to start compiling.
Everything appeared able to compile with 6955 warnings and 1 error related to a python27_d.lib linker error that hopefully only broke the python interface.
error LNK1104: cannot open file 'python27_d.lib'
An optimization that’s probably worth is exploring is explicitly picking the CUDA architecture as I think it built it for all possible versions. My suspicion stems from these warnings:
warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
And the fact that the opencv directory is now over 8GB which seems on the large side.