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#Conda install opencv 3.4 how to#
#Conda install opencv 3.4 install#
#Conda install opencv 3.4 full#
#Conda install opencv 3.4 code#

#Conda install opencv 3.4 install#

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 3.4 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 3.4 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 3.4 code#

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