nvidia-auto-installer-for-fedora-linux VS howdy

I fixed it. I used this github repo and now it works perfectly. So if anyone faces the same problems currently, this fixed it for me. I don't know what it actually does or if it can damage anything but honestly I don't care as long as it works.

If you have installed fedora and didn’t explicitly install the proprietary Nvidia drivers then you don’t have them, the third party codecs/drivers you mentioned elsewhere in the post don’t include the Nvidia drivers themselves. You can follow the instructions on this GitHub repo to install them for yourself. That should improve performance GREATLY. https://github.com/t0xic0der/nvidia-auto-installer-for-fedora-linux

Simply follow the instructions at https://github.com/t0xic0der/nvidia-auto-installer-for-fedora-linux

Use this

Use this for nvidia stuff link

If you want a easy way to install nvidia drivers you should consider this: https://github.com/t0xic0der/nvidia-auto-installer-for-fedora-linux . It worked for me on my rtx 3050. If you have 2 GPU's (hybrid system) I would consider using envy control

you can even use facial recognition with IR webcam

Source

I just bought a go 2 (not laptop go) this weekend and installed fedora 37 on it. Almost everything worked without the surface kernel except the camera requires v4l2loopback kernel drivers to create a gstreamer device for apps that don’t support libcamera. There were only old versions available in copr but no surface kernel headers available so I couldn’t build the kernel modules. I switched to ubuntu 22.10 and got similar hardware support but more available packages. I’m still trying to figure out how to get the IR sensors to work so I can use howdy for login/sudo. https://github.com/boltgolt/howdy

First, you'll need to install Howdy.

I've tried using Howdy, but that doesn't seem to work. It's probably because of this issue

Just like with digicams, it is not just about the sensor, but also the image processing itself. Should we omit the IR sensor to replace it with a better firmware-based noise-reduction system? But what about "Howdy" / "Hello" users, if we go this route?