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. FFMPEG: no hardware accelerated decoding/encoding.OpenCV (Python) aged (4.1.1) without CUDA acceleration, no FFMPEG support.For a full list of GPUs and formats supported, please see the available GPU Support Matrix.Current situation with Jetpack 4.5.1 (after initial installation): Ability to add your own custom high-performance CUDA filters using the shared CUDA context implementation in FFmpeg.Create high-performance end-to-end hardware-accelerated video processing, 1:N encoding and 1:N transcoding pipeline using built-in filters in FFmpeg.Granular control over encoding settings such as encoding preset, rate control and other video quality parameters.Hardware-accelerated decoding of H.264, HEVC, VP9, VP8, MPEG2, MPEG4*, and AV1.Hardware-accelerated encoding of H.264 and HEVC*.If you have an NVIDIA GPU which supports hardware-accelerated video encoding and decoding, it’s simply a matter of compiling FFmpeg binary with the required support for NVIDIA libraries and using the resulting binaries to speed up video encoding/decoding.įFmpeg supports following functionality accelerated by video hardware on NVIDIA GPUs:

Python ffmpeg was not found