Welcome to the OpenCV with Python repository! This project is designed to help you learn computer vision using Python and OpenCV, one of the most powerful libraries in the field. Whether you're a complete beginner or looking to sharpen your skills, this course will guide you through practical projects that apply computer vision techniques to solve real-world problems.
What You'll Learn:
- Basics of OpenCV: Installation, setup, and basic operations.
- Image Processing: Techniques like resizing, cropping, and transforming images.
- Color Detection: Identifying and isolating specific colors in images.
- Shape Detection: Recognizing and classifying shapes within images.
- Human Detection: Techniques for detecting humans in images or video feeds.
- Vehicle Number Plate Recognition: Implementing a basic system to detect and read vehicle number plates
Python's simplicity and versatility make it one of the most popular programming languages. Combined with OpenCV, it opens up numerous job opportunities in fields like AI, machine learning, and data analysis.
Course Structure:
- Installation & Setup: Getting started with Python and OpenCV.
- Practical Projects: Focusing on hands-on projects rather than theoretical concepts.
- Real-World Applications: Apply what you learn to solve real-world problems.
Prerequisites:
- Basic knowledge of Python.
- Python 3.x installed on your system.