Video Processing and Playback with OpenCV and Python

Working with video data is the foundation of modern computer vision, yet handling frame rates, window controls, and stream properties can be challenging for beginners. This course guides you through the essentials of video manipulation, helping you transition from writing basic scripts to building responsive video processing pipelines that handle real-time inputs. What you will learn: Understand the core concepts of digital video, including frame rates, codecs, and color spaces. Read and stream video files and live camera feeds using OpenCV's video capture interface. Manipulate individual video frames by resizing, rotating, and filtering. Control video playback dynamically using keyboard inputs and window event listeners. Apply modern Python practices, including type hints and proper resource cleanup. Save processed video streams to disk with correct codec and container settings. You will start with the fundamental terminology of digital video before moving into practical coding. Through structured text explanations and step-by-step code exercises, you will build a solid foundation in video processing. This course is designed for beginners in Python and computer vision, with no prior OpenCV experience required. Start reading today to unlock the potential of computer vision in your projects.