Windows 11 with WSL2 Ubuntu

Webcam mode on Windows 11 using WSL2 Ubuntu

If you want to use WSL2 on Windows 11 you will notice, that Ubuntu WSL2 doesn't come with USB-Webcam support in the Kernel. You need to do two things: Compile the Kernel with the right modules integrated and forward your USB Webcam from Windows to Ubuntu with the usbipd app. Here are detailed Steps:

This tutorial will guide you through the process of setting up WSL2 Ubuntu with USB webcam support, rebuilding the kernel, and preparing the environment for the Deep-Live-Cam project.

1. Install WSL2 Ubuntu

Install WSL2 Ubuntu from the Microsoft Store or using PowerShell:

2. Enable USB Support in WSL2

1. Install the USB/IP tool for Windows:
   https://learn.microsoft.com/en-us/windows/wsl/connect-usb

2. In Windows PowerShell (as Administrator), connect your webcam to WSL:

usbipd list  
usbipd bind --busid x-x # Replace x-x with your webcam's bus ID  
usbipd attach --wsl --busid x-x # Replace x-x with your webcam's bus ID  

You need to redo the above every time you reboot wsl or re-connect your webcam/usb device.

3. Rebuild WSL2 Ubuntu Kernel with USB and Webcam Modules

Follow these steps to rebuild the kernel:

1. Start with this guide: https://github.com/PINTO0309/wsl2_linux_kernel_usbcam_enable_conf

2. When you reach the sudo wget [github.com](http://github.com/)...PINTO0309 step, which won't work for newer kernel versions, follow this video instead or alternatively follow the video tutorial from the beginning: https://www.youtube.com/watch?v=t_YnACEPmrM

Additional info: https://askubuntu.com/questions/1413377/camera-not-working-in-cheese-in-wsl2

3. After rebuilding, restart WSL with the new kernel.

4. Set Up Deep-Live-Cam Project

Within Ubuntu:

1. Clone the repository:

git clone [https://github.com/hacksider/Deep-Live-Cam](https://github.com/hacksider/Deep-Live-Cam)  

2. Follow the installation instructions in the repository, including cuda toolkit 11.8, make 100% sure it's not cuda toolkit 12.x.

5. Verify and Load Kernel Modules

1. Check if USB and webcam modules are built into the kernel:

zcat /proc/config.gz | grep -i "CONFIG_USB_VIDEO_CLASS"  

2. If modules are loadable (m), not built-in (y), check if the file exists:

ls /lib/modules/$(uname -r)/kernel/drivers/media/usb/uvc/  

3. Load the module and check for errors (optional if built-in):

sudo modprobe uvcvideo  
dmesg | tail  

4. Verify video devices:

sudo ls -al /dev/video*  

6. Set Up Permissions

1. Add user to video group and set permissions:

sudo usermod -a -G video $USER  
sudo chgrp video /dev/video0 /dev/video1  
sudo chmod 660 /dev/video0 /dev/video1  

2. Create a udev rule for permanent permissions:

sudo nano /etc/udev/rules.d/81-webcam.rules  

Add this content:

KERNEL=="video[0-9]*", GROUP="video", MODE="0660"  

3. Reload udev rules:

sudo udevadm control --reload-rules && sudo udevadm trigger  

4. Log out and log back into your WSL session.

5. Start Deep-Live-Cam with python run.py --execution-provider cuda --max-memory 8 where 8 can be changed to the number of GB VRAM of your GPU has, minus 1-2GB. If you have a RTX3080 with 10GB I suggest adding 8GB. Leave some left for Windows.

Final Notes

• Steps 6 and 7 may be optional if the modules are built into the kernel and permissions are already set correctly.
• Always ensure you're using compatible versions of CUDA, ONNX, and other dependencies.
• If issues persist, consider checking the Deep-Live-Cam project's specific requirements and troubleshooting steps.

By following these steps, you should have a WSL2 Ubuntu environment with USB webcam support ready for the Deep-Live-Cam project. If you encounter any issues, refer back to the specific error messages and troubleshooting steps provided.

Troubleshooting CUDA Issues

If you encounter this error:

[ONNXRuntimeError] : 1 : FAIL : Failed to load library [libonnxruntime_providers_cuda.so](http://libonnxruntime_providers_cuda.so/) with error: libcufft.so.10: cannot open shared object file: No such file or directory  

Follow these steps:

1. Install CUDA Toolkit 11.8 (ONNX 1.16.3 requires CUDA 11.x, not 12.x):
   https://developer.nvidia.com/cuda-11-8-0-download-archive
   select: Linux, x86_64, WSL-Ubuntu, 2.0, deb (local)
2. Check CUDA version:

/usr/local/cuda/bin/nvcc --version  

3. If the wrong version is installed, remove it completely:
   https://askubuntu.com/questions/530043/removing-nvidia-cuda-toolkit-and-installing-new-one

4. Install CUDA Toolkit 11.8 again https://developer.nvidia.com/cuda-11-8-0-download-archive, select: Linux, x86_64, WSL-Ubuntu, 2.0, deb (local)

sudo apt-get -y install cuda-toolkit-11-8