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In my case, I want to read from a RTSP stream.

It was working also hardware accelerated as expected - but without FFMPEG support. This typically happens, when you use a ffmpeg build in a different way than that described before for the pure (unaccelerated) version. As soon as you use cv2.VideoCapture(…), the program terminates with a segmentation fault (core dumped).īuilding hardware accelerated OpenCV without FFMPEG support is quite easy. Problem was, that this OpenCV build didn’t not work. Now, after all this hard work and getting the confirmation for FFMPEG integration, I felt pretty lucky!īut the enthusiasm did not last long. Previously, I tried it also with the hardware accelerated FFMPEG 4.2.2 build mentioned earlier (by adding -enable-shared to the configure command line), but in that case, the ffmpeg test build fails during CMake and so you end up with OpenCV without FFMPEG integration. You can check this after the build and install finished, by: With thes preparations, it should be possible to build OpenCV including CUDA support and FFMPEG. by:Įxport LD_LIBRARY_PATH=/home/username/ffmpeg-4.4/libavdevice:/home/username/ffmpeg-4.4/libavfilter:/home/username/ffmpeg-4.4/libavformat:/home/username/ffmpeg-4.4/libavcodec:/home/username/ffmpeg-4.4/libavformat:/home/username/ffmpeg-4.4/libswresample:/home/username/ffmpeg-4.4/libswscale:/home/username/ffmpeg-4.4/libavutil:

You should also set LD_LIBRARY_PATH, e.g. In this file you add the paths to the ffmpeg libraries (assuming you built ffmpeg-4.4 under the folder /home/username/): configure -enable-shared -disable-static -prefix=/usr/localĪfterwards you should include the library paths to ld config by: Sudo apt-get -purge autoremove python-opencvĪfterwards, I downloaded latest FFMPEG sources from and build it with the following configuration: I was successful to get a CUDA accelerated build of OpenCV with FFMPEG, when I previously uninstalled all previous OpenCV and FFMPEG installations by: Reason is, that the FFMPEG test build during the CMake build fails (propably due to some static libraries). But usually, all these builds end up without FFMPEG support, although all required libraries are found. You can find several scripts, I used an aption of this. There is also an option to build OpenCV with CUDA support. There is also an easy way to get an up-to-date OpenCV (currently 4.5.3) with FFMPEG support using:īut this has no hardware accelaration at all (neither OpenCV nor the FFMPEG integration). Meanwhile there is an Option to get FFMPEG with hardware accelerated decoding as decribed here.