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@@ -23,12 +23,12 @@ Using NvFBC (recording the monitor/screen) is not faster than not using NvFBC (r # Installation If you are running an Arch Linux based distro, then you can find gpu screen recorder on aur under the name gpu-screen-recorder-git (`yay -S gpu-screen-recorder-git`).\ -If you are running an Ubuntu based distro then run `install_ubuntu.sh` as root: `sudo ./install_ubuntu.sh`. You also need to install the `libnvidia-compute` version that fits your nvidia driver to install libcuda.so to run gpu-screen-recorder. But it's recommended that you use the flatpak version of gpu-screen-recorder if you use an older version of ubuntu as the ffmpeg version will be old and wont support the best quality options.\ +If you are running an Ubuntu based distro then run `install_ubuntu.sh` as root: `sudo ./install_ubuntu.sh`. You also need to install the `libnvidia-compute` version that fits your nvidia driver to install libcuda.so to run gpu-screen-recorder and `libnvidia-fbc.so.1` when using nvfbc. But it's recommended that you use the flatpak version of gpu-screen-recorder if you use an older version of ubuntu as the ffmpeg version will be old and wont support the best quality options.\ If you are running another distro then you can run `install.sh` as root: `sudo ./install.sh`, but you need to manually install the dependencies, as described below.\ You can also install gpu screen recorder ([the gtk gui version](https://git.dec05eba.com/gpu-screen-recorder-gtk/)) from [flathub](https://flathub.org/apps/details/com.dec05eba.gpu_screen_recorder). # Dependencies -`libgl (libglvnd), ffmpeg, libx11, libxcomposite, libpulse`. You need to additionally have `libcuda.so` installed when you run `gpu-screen-recorder`.\ +`libgl (libglvnd), ffmpeg, libx11, libxcomposite, libpulse`. You need to additionally have `libcuda.so` installed when you run `gpu-screen-recorder` and `libnvidia-fbc.so.1` when using nvfbc.\ Recording monitors requires a gpu with NvFBC support (note: this is not required when recording a single window!). Normally only tesla and quadro gpus support this, but by using [nvidia-patch](https://github.com/keylase/nvidia-patch) or [nvlax](https://github.com/illnyang/nvlax) you can do this on all gpus that support nvenc as well (gpus as old as the nvidia 600 series), provided you are not using outdated gpu drivers. # How to use |