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#Conda install opencv python==3.2.0.6 how to
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Chances are, you should jump on the bandwagon. Put simply: Python virtual environments are a best practice for Python development.

#Conda install opencv python==3.2.0.6 free

You’re also free to add and remove virtual environments as you go. The main benefit is that you can develop multiple projects on your system with isolated packages (many with version dependencies) without having to muddy the waters of your system.

There are huge benefits to Python virtual environments. In a matter of seconds, OpenCV is ready to go in your system’s site-packages! Option B: Install OpenCV on Ubuntu into a virtual environment with pip Let’s pip install opencv-contrib-python on our system: $ sudo pip install opencv-contrib-python I wouldn’t recommend this method unless you have a particular use case where you don’t want isolated, independent Python environments. Option A: Install OpenCV to your Ubuntu system with pip If you don’t have pip, you’ll need to obtain it first: $ wget $ sudo apt-get install libgl1-mesa-glx Next, install pip We need to refresh/upgrade the pre-installed packages/libraries with the apt-get package manager: $ sudo apt-get updateįollowed by installing two required packages: $ sudo apt-get install python3-dev

Install into a virtual environment’s site-packages (preferred)įirst, install some OpenCV dependencies on Ubuntu.

You have two options to install OpenCV on Ubuntu with pip: You DO NOT want to install both opencv-python and opencv-contrib-python - pick ONE of them. Useful for headless systems.Īgain, in the vast majority of situations you will want to install opencv-contrib-python on your system.

opencv-contrib-python-headless: Same as opencv-contrib-python but no GUI functionality.

opencv-python-headless: Same as opencv-python but no GUI functionality.

opencv-contrib-python: The opencv-contrib-python repository contains both the main modules along with the contrib modules - this is the library I recommend you install as it includes all OpenCV functionality.

If you’re a PyImageSearch reader you do not want to install this package.

opencv-python: This repository contains just the main modules of the OpenCV library.

Just because they are not official packages doesn’t mean you should feel uncomfortable using them, but it’s important for you to understand that they are not endorsed and supported directly by the official team.Īll that said - there are four OpenCV packages that are pip-installable on the PyPI repository: The two pip OpenCV packages: opencv-python and opencv-contrib-pythonīefore we get started I want to remind you that the methods I’m coming here today are unofficial pre-built OpenCV packages that can be installed via pip - they are not official OpenCV packages released by.

#Conda install opencv python==3.2.0.6 full

This is a great method to install OpenCV if you need a quick environment in which you won’t need to run programs containing the non-free algorithms - if that’s not the case, you’ll need to complete a full compile of OpenCV. The PyPi/PiWheels hosted versions of OpenCV that we’re discussing today do not include “non-free” algorithms such as SIFT, SURF, and other patented algorithms. I’d like to point out an important caveat to this OpenCV installation method before we begin.

#Conda install opencv python==3.2.0.6 how to

In the remainder of this tutorial, I’ll briefly describe the OpenCV packages you can install via pip, Python’s package manager.įrom there, I’ll demonstrate how to pip install OpenCV on Ubuntu, macOS, and the Raspberry Pi.įinally, I’ll review some common problems you may encounter when using pip to install OpenCV.

#Conda install opencv python==3.2.0.6 code

Looking for the source code to this post? Jump Right To The Downloads Section pip install OpenCV