opencv-python-headless: Headless version of the main library.GUI components are included (such as cv2.imshow() and extra modules are not included. The main differences are about the graphical user interface and extra modules. There are 4 different types of OpenCV releases that can be suitable for our usage. Select your OpenCV package and install it The output should be as in the image if you are using pyenv, versions of course may differ by your choice and latest available versions.ĥ. To check if you have Python3 and pip installed on your system, run the following commands. sudo apt-get install -y libhdf5-dev libhdf5-serial-dev python3-pyqt5 libatlas-base-dev libjasper-dev 4. Some of these packages are for the GUI components of the OpenCV and you will not need them if you are going to install the headless versions but installing all won’t hurt if you are not low on space. pip install -upgrade pip setuptools wheel 3. The package manager will be using these packages to install prebuilt binaries. Update your apt repository.Ĭonnect your Raspberry Pi with SSH (or use it with monitor, mouse, and keyboard of course) and update the apt repositories. You should already have a Python and pip installed Raspberry Pi, if not please follow this post. If you are just getting started with Raspberry Pi and image processing, the compilation process can be quite exhausting and shift the target of your effort from the actual project to installation.

This means we don’t actually need to compile it from the source code. Now we are able to install pre-compiled OpenCV Python binaries for Raspberry Pi with the pip package manager. Installing OpenCV on Raspberry Pi has been a challenge a couple of years back from now, but it changed.

Pip install opencv