Vicente González Ruiz vicente-gonzalez-ruiz

This recipe install OpenCV with CUDA suport in a virtual environment. See https://docs.opencv.org/4.x/d7/d9f/tutorial_linux_install.html and specifically https://docs.opencv.org/4.x/db/d05/tutorial_config_reference.html. This also helps: https://rodosingh.medium.com/using-cmake-to-build-and-install-opencv-for-python-and-c-in-ubuntu-20-04-6c5881eebd9a
Install CUDA Toolkit from https://developer.nvidia.com/cuda-download. Use Download Installer for Linux Ubuntu 22.04 x86_64.

wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.0-1_all.deb
sudo dpkg -i cuda-keyring_1.0-1_all.deb
sudo apt-get update
sudo apt-get -y install cuda

Reboot and check that nvidia-smi is working.

root@miranda:/etc/X11/xorg.conf.d# cat 40-libinput.conf Section "InputClass" Identifier "libinput touchpad catchall" MatchIsTouchpad "on" MatchDevicePath "/dev/input/event*" Driver "libinput" Option "Tapping" "on" EndSection

	1. Run nvidia-detector to see the recommended driver version (for example, nvidia-driver-550).
	2. sudo apt install nvidia-driver-550

	We can see the modules configured in the kernel with:

	dkms status

	We can know if there is any issue or conflict with the Nvidia module with:

	sudo dmest \| grep NV

	# See: https://gist.github.com/Mahedi-61/2a2f1579d4271717d421065168ce6a73

	# Remove any previous CUDA installation
	sudo apt-get purge nvidia*
	sudo apt remove nvidia-*
	sudo rm /etc/apt/sources.list.d/cuda*
	sudo apt-get autoremove && sudo apt-get autoclean
	sudo rm -rf /usr/local/cuda*

	# Install the required packages

	# Install required pakages
	sudo apt install build-essential zlib1g-dev libncurses5-dev libgdbm-dev libnss3-dev libssl-dev libreadline-dev libffi-dev libsqlite3-dev wget libbz2-dev

	# Download from https://www.python.org/downloads/source/ the Python's sources

	# Decompress, compile, and install (example)
	tar -xf Python-3.10.*.tgz
	cd Python-3.10.*/
	./configure --enable-optimizations
	make -j $(nproc)

	1. Download the last version of Python from (at this moment, version 3.12.0):

	https://www.python.org/downloads/

	2. Run the downloaded archive. Select the option "Add python.exe to PATH" and "Install Now". Select also "Disable path length limit".

	3. Press <Win> + <R>, type "cmd", and press <Enter>.

	4. Create a Python environment. For example (in the command line interpreter):

	1. Create a Python environment. For example (in the command line interpreter):

	python3 -m venv intercom_env

	(obviously, you can re-use a old one, and you can skip this step).

	2. Activate the environment. Run (tabulator key helps):

	intercom_env/bin//activate

	# Install CUDA (see https://gist.github.com/vicente-gonzalez-ruiz/42801735d0fea2f4e0d22c2e75b2c556)

	# Install opticalflow3d
	pip install opticalflow3d

	Put:

	bindsym XF86MonBrightnessUp exec --no-startup-id brightnessctl set +5%
	bindsym XF86MonBrightnessDown exec --no-startup-id brightnessctl set 5%-

	into:

	~/.config/i3/config