#RaspberryPi – Install OpenCV

Buy Me A Coffee

Hi!

After some posts about how to setup a Raspberry Pi, today I’ll share the steps I follow to install OpenCV.

Disclaimer: if you are looking for a detailed step by step on how to install or even build OpenCV in a Raspberry Pi, I strongly recommend to read the post “Install OpenCV on Raspberry Pi 4” by Adrian Rosebrock.

Ok, so let’s start. I assume that you read my posts and your Raspbian image is up and running.

Install Python 3 and Update device

1st step will be to install Python 3 with the following command

sudo apt-get install python3-dev

And run and update for all the installed software

sudo -- sh -c 'apt-get update; apt-get upgrade -y; apt-get dist-upgrade -y; apt-get autoremove -y; apt-get autoclean -y'
Install and use Virtual Environments

This will give us the base image to start working. And, in case we need to install different versions or different apps, I’ll use virtual environments to work with Python.

Let’s install VirtualEnv with the command

#create virtual environment
sudo pip3 install virtualenv

Now let’s create a new virtual environment named “venv” with the command

virtualenv -p python3 .venv

And let’s activate the environment with the command

source .venv/bin/activate

At this moment, the terminal should change and add a prefix (venv) in the bash.

raspberry pi install and activate a virtual environment
Install prerequisites

Let’s update again

sudo apt-get update

And install prerequisites with the commands

sudo apt-get install gfortran 
sudo apt-get install libopenblas-dev 
sudo apt-get install liblapack-dev
sudo apt-get install libatlas-base-dev
sudo apt-get install libjasper-dev
sudo apt-get install libqtgui4
sudo apt-get install python3-pyqt5
sudo apt-get install libqt4-test

or in a single command

sudo apt-get install gfortran libopenblas-dev liblapack-dev libatlas-base-dev libjasper-dev libqtgui4 python3-pyqt5 libqt4-test -y

This process will take some minutes, so this is time 1 to get a coffee!

Install OpenCV and switch to right Raspberry Pi version!

And now the magic command to install OpenCV

sudo apt-get install libopencv-dev

And this process is the one who take most of the time, so coffee number 2. Take a look at all the dependencies for this

And after a couple of minutes the process is done. We can test the OpenCV version running 2 simple python commands. First let’s start python with the command

python

And then run the following lines

import cv2
cv2.__version__

This should display the current OpenCV version.

However, with the latest version we have an error: ModuleNotFoundError: No module named ‘cv2’

The current installed version have some issues running in the raspberry py, so we need to make a downgrade to the version 4.1.0.25 with the command. We first uninstall the installed version (4.1.0.26) and install the specific version.

pip uninstall opencv-contrib
pip install opencv-contrib-python==4.1.0.25

Now, we launch python again, run our 2 lines, and we got OpenCV up and running!

Bonus: Installed Packages

Finally, this is the current list of packages installed in the virtual environments and the version of each package

(.venv) pi@rpidev5:~ $ pip3 list
Package               Version
--------------------- --------
numpy                 1.18.1
opencv-contrib-python 4.1.0.25
pip                   20.0.1
setuptools            45.1.0
wheel                 0.33.6
(.venv) pi@rpidev5:~ $

Happy coding!

Greetings

El Bruno

References

My posts on Raspberry Pi

Dev posts for Raspberry Pi
Tools and Apps for Raspberry Pi
Setup the device
Hardware

One thought on “#RaspberryPi – Install OpenCV

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

This site uses Akismet to reduce spam. Learn how your comment data is processed.