Introduction to Computer Vision

What is the course about?

This course provides an introduction to computer vision, focusing on how machines can be trained to interpret and understand visual information from the world around us. You will learn the fundamentals of image processing, feature extraction, and object detection, with practical experience using Python and the OpenCV library. The course covers key concepts in computer vision, including working with images and video data, and applying algorithms to solve real-world problems such as facial recognition and image classification. Additionally, you’ll engage in hands-on projects during class and be encouraged to develop your own computer vision projects outside of class.

What will we cover?

• Introduction to Computer Vision: Understanding the basics of computer vision and its wide range of applications.
• Image Processing: Techniques for manipulating and enhancing images, including filtering, edge detection, and transformation.
• Working with OpenCV: Introduction to OpenCV, a powerful library for computer vision tasks.
• Feature Extraction: Identifying and extracting key features from images for analysis.
• Object Detection and Recognition: Basics of detecting and recognizing objects in images, including simple algorithms and techniques.
• Working with Video Data: Techniques for processing and analyzing video streams.
• Real-World Applications: Exploring applications like facial recognition, image classification, and automated surveillance.
• Hands-on Projects: Applying computer vision techniques to build practical applications in Python during class and encouraging students to work on their own projects outside of class.

What will I achieve?
By the end of this course you should be able to...

• Understand the core principles of computer vision and its various applications.
• Use Python and OpenCV to process and analyze images and video.
• Implement basic image processing techniques, such as filtering and edge detection.
• Extract features from images for analysis and interpretation.
• Apply object detection and recognition algorithms to real-world problems.
• Develop and extend your own computer vision projects using Python.

What level is the course and do I need any particular skills?

This is an intermediate-level course designed for learners with basic Python programming skills. No prior experience in computer vision is required, but a fundamental understanding of Python is necessary.

How will I be taught, and will there be any work outside the class?

The course will be delivered through a combination of interactive lectures, coding demonstrations, and hands-on projects. You’ll complete practical coding projects during class, with encouragement to develop your own computer vision projects outside of class.

Are there any other costs? Is there anything I need to bring?

There are no additional costs for this course. All necessary materials and software, including access to OpenCV, will be provided.

When I've finished, what course can I do next?

Please click here to view all our courses in the Technology area and click here to view our Programming and Maths courses.

Disclaimer: Use of Third-Party Software
This course might require you to either use your own personal account or create an account for the purposes of this course. City Lit cannot accept any responsibility for any failings of the third party or provide technical support. Whilst using the software you will be responsible for abiding by the providers terms and conditions and maintaining your own work.