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. Make sure you read the following man pages using the man command: Mine is a consumer-grade GPU, but no doubt data center or professional-grade NVIDIA GPU gives even better performance. Time ~/ffmpeg/ffmpeg -hwaccel cuda -y -i /tmp/input.mkv /tmp/out.mp4 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): This PPA (thanks to ‘Jon’) will give you the latest stable version of ‘ffmpeg’ and has packages for Ubuntu 12.10, 12.04, 11.10, 11.04 and 10.10 (as of writing this post). For that, open your Terminal and enter the below commands (one after the other). Time /bin/ffmpeg -y -i /tmp/input.mkv /tmp/out.mp4 Step 1: Let’s first install ‘ffmpeg’ on your Ubuntu computer. The process should be similar for newer versions as well.
The following is the process for configuring/building FFMpeg from scratch on Ubuntu 17.04. In this example, I am converting input.mkv to out.mp4 as follows without using GPU acceleration: For that reason, well build FFMpeg from source to make sure the examples work as expected. Related: Top 7 Linux GPU Monitoring and Diagnostic Commands Line Tools Result
0 kommentar(er)
