The FrameProcessing class implements the core video analysis algorithm, calculating frame differences, framerate, frametime, and detecting screen tears. Its tear detection algorithm is particularly notable: it identifies partial frame tears by analyzing row-wise differences, calculates the tear percentage, and adjusts framerate calculation accordingly (counting as full difference if tear is below threshold, or applying proportional adjustment if above). This component is highly reusable as it depends only on OpenCV and basic types, could be extracted into a standalone video analysis library with minimal modification, and demonstrates non-obvious skill in handling the edge case of screen tearing affecting frame rate measurement.

VideoCaptureList manages synchronized frame capture from multiple video sources using OpenCV. It handles frame buffering, end-of-video detection, and provides a clean interface for accessing frames and metadata. The component is highly reusable as it depends solely on OpenCV, features robust synchronization logic to handle videos of different lengths and frame rates, and could be extracted for use in any OpenCV-based video processing application. Its design properly manages resource lifecycle and provides essential metadata like frame counts and timestamps.