Install OpenCV on Jupyter Notebook

First of all, make sure that you have Python and PIP already installed on your machine. If Python or PIP is not present, go through How to install Python on Windows? or How to install PIP on Windows? and follow the instructions provided to install Python and PIP respectively.

Now, let us see different ways to install OpenCV on Jupyter Notebook.

With Jupyter Notebook, users can create and share documents with live code, equations, visualizations, and narrative text in an interactive computing environment. An open-source software library for computer vision and machine learning is called OpenCV (Open Source Computer Vision Library). When combined, they allow users to interact and conduct intricate image-processing tasks in a user-friendly way. In this article, we will see a detailed tutorial on installing and using the Python OpenCV module in a Jupyter Notebook.

Why Use Jupyter Notebook?

Jupyter Notebook is very useful for visualizing and exploring data. A favorite tool of data scientists and researchers is its ability to mix executable code, rich text, visualizations, mathematical equations, and other rich material into a single, shareable document. Jupyter is a very useful tool for iterative code testing and real-time feedback for image processing jobs using OpenCV. It is a wonderful learning tool and a potent way to prototype and debug computer vision applications since users can see the changes they make to their photos or video streams directly in their notebooks.