And finally, ffmpeg configured and complied with -enable-cuda-nvcc option.In short, to enable support for GPU-assisted encoding with an NVIDIA GPU for ffmpeg, you need: Please see NVIDIA documentations and ffmpeg wiki page for further information. You learned how to install FFmpeg with NVIDIA GPU acceleration hardware support on Debian or Ubuntu Linux to speed up encoding with the ffmpeg command. Another very useful way to use ffmpeg is for hassle-free conversion between different media. Make sure you read the following man pages using the man command: The first use of ffmpeg is displaying information about a media file. Mine is a consumer-grade GPU, but no doubt data center or professional-grade NVIDIA GPU gives even better performance. It is always best to consult the FFMpeg documentation on the acceleration type you choose. Time ~/ffmpeg/ffmpeg -hwaccel cuda -y -i /tmp/input.mkv /tmp/out.mp4 On Linux use nvidia-smi to check driver and GPU card version. Time command outputs with CPU used: realđm40.678sĪlso note down the speed: frame= 7320 fps= 73 q=-1.0 Lsize= 58306kB time=00:02:02.03 bitrate=3914.0kbits/s speed=1.22xĪnd now same file with NVIDIA GPU acceleration (note the path, I am calling the compiled version):
In this example, I am converting input.mkv to out.mp4 as follows without using GPU acceleration: Related: Top 7 Linux GPU Monitoring and Diagnostic Commands Line Tools Result
0 kommentar(er)
