In this article, we will cover two different methods for installing OpenCV in Python: using “PIP” (the Python Package Manager) and using “Anaconda” (a free and open-source distribution of Python and R for data science and machine learning).
Method 1: Installing OpenCV using PIP
PIP is the default package manager for Python. It allows you to install and manage third-party Python packages (such as OpenCV) from the command line. To install OpenCV using PIP, follow these steps:
Method 2: Installing OpenCV using Anaconda
Anaconda is a free and open-source distribution of Python and R for data science and machine learning. It comes with a package manager called conda that allows you to install and manage third-party Python packages (such as OpenCV) from the command line. To install OpenCV using Anaconda, follow these steps:
Conclusion
In this article, we have covered two different methods for installing OpenCV in Python: using PIP and using Anaconda. Both methods are relatively straightforward, but using Anaconda has the added benefit of allowing you to create and manage separate environments for your Python projects. This can be useful for avoiding conflicts between packages and for keeping your projects organized.
