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OpenCV is a powerful computer vision library, and combining it with Jupyter Notebook provides an interactive environment for image and video processing. Below are the most common ways to set it up and start using it.
Using PIP in Jupyter Notebook
Step 1: Install Jupyter Notebook If not installed, run in terminal:
pip install notebookCopied!✕CopyStep 2: Launch Jupyter Notebook
jupyter notebookCopied!✕CopyThis opens the notebook interface in your browser.
Step 3: Install OpenCV inside Notebook In a notebook cell, run:
!pip install opencv-pythonCopied!✕CopyStep 4: Verify Installation
import cv2print(cv2.__version__)Copied!✕CopyUsing Anaconda
Step 1: Install Anaconda Download and install from the official Anaconda site.
Step 2: Open Anaconda Prompt Navigate to your environment or create a new one.
Step 3: Install OpenCV
pip install opencv-pythonCopied!✕CopyStep 4: Launch Jupyter Notebook from Anaconda Navigator Verify installation with:
import cv2print(cv2.__version__)Copied!✕CopyExample: Basic Image Operations in Notebook
opencv-python · PyPI
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