How to Install OpenCV on a Raspberry Pi (2024)

Last Update: Apr 4, 2023

OpenCV is an incredible computer vision library, and the Raspberry Pi is an awesome piece of hardware. You can bring them together for your projects. In fact, I am writing this article as a reference so you folks can set up your Pi with OpenCV for a series of tutorials I’m doing.

We’re going to install OpenCV on the Raspberry Pi for Python projects. Note: There are two ways to install this:

• Pip install (30 seconds)
• Compile from source (hours)

We are covering the Pip install here because it’s fast and easy. It will work for most OpenCV projects, and it’s an easy solution. However, there will be libraries and Non-Free algorithms that are not installed with Pip. So if you want the FULL library, you’ll need to do build OpenCV from source. For most people, the Pip install should be just fine.

You may also notice we’re installing OpenCV with the contrib modules included. You can do a smaller opencv-python installation if you choose.

This is just one of many Raspberry Pi Projects you can do to learn more about development and IoT.

Let’s get started.

Step 1: Set Up Your Raspberry Pi

The first thing you should do is make sure your Pi is using the full SD card. It’s easy enough to do.

sudo raspi-config

Reboot the machine

sudo reboot

Now you can check to make sure you’ve got the space:

df -h

Cool, we’re ready. Let’s update the system:

sudo apt-get update && sudo apt-get upgrade

This is all you’ll need to do the Pi for now to get it ready.

Step 2: Get Pip and Install OpenCV

Now, we’ll get pip and use that to install OpenCV.

mkdir ~/src && cd ~/srcwget https://bootstrap.pypa.io/get-pip.py$ sudo python3 get-pip.py

There are two ways to install OpenCV. You may want to install it for the whole system or use a Python Virtual Environment.

I suggest using the Python Virtual Environment method because it’s more portable, and you can use different libraries with different projects on the same machine. There isn’t a lot of overhead to using the virtual environment method, but I’ll show both ways:

Option 1: Install OpenCV for the Whole System:

sudo pip install opencv-contrib-python

And you’re done. You

Or,

Option 2: Install OpenCV in a Python Virtual Environment:

sudo pip install virtualenv virtualenvwrapper

vim ~/.bashrc

add the following lines to the bottom:

export WORKON_HOME=$HOME/.virtualenvsexport VIRTUALENVWRAPPER_PYTHON=/usr/bin/python3source /usr/local/bin/virtualenvwrapper.sh

Save the file, and run source on your .bashrc to reload the changes:

source ~/.bashrc

Now, you can create a virtual environment named pistats (or whatever you like)

mkvirtualenv pistats -p python3

Then install OpenCV:

pip install opencv-contrib-python

Ok, now we’re up and running.

What Can I Do With This?

OpenCV is an amazing image analysis and processing package. It’s used for some serious computer vision projects.

The Raspberry Pi is a complete Linux computer in a small package. So the possibilities are endless with this:

• Real-time Face Recognition: an End-to-end Project
• Increasing Raspberry Pi FPS with Python and OpenCV
• Automatic Vision Object Tracking

The list can go on forever. Here’s a good list of OpenCV projects you can check out.

Want to learn more about the Raspberry Pi? Check out the Raspberry Pi for Developers course!

Published: Nov 7, 2020 by Jeremy Morgan. Contact me before republishing this content.