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author | dec05eba <dec05eba@protonmail.com> | 2022-10-06 15:27:45 +0200 |
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committer | dec05eba <dec05eba@protonmail.com> | 2022-10-06 15:27:45 +0200 |
commit | 5b26291269aa0b2d2a489b0d7b167d084a52aaed (patch) | |
tree | 7e766fc71e652a678e4cca8a368c4e50546a8f20 /README.md | |
parent | 5cdb2df3d7433974dbabcf152dede43106ee5b42 (diff) |
Update info about cuda
Diffstat (limited to 'README.md')
-rw-r--r-- | README.md | 4 |
1 files changed, 2 insertions, 2 deletions
@@ -20,12 +20,12 @@ 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`.\ +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.\ 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 `cuda` 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`.\ 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can do this on all gpus that support nvenc as well (gpus as old as the nvidia 600 series), provided you are not using outdated gpu drivers.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 |