OpenCV - Computer Vision and Image Processing

OpenCV (Open Source Computer Vision Library) is the de facto standard library for computer vision tasks. It provides 2500+ optimized algorithms for real-time image and video processing, from basic operations like reading images to advanced tasks like face recognition and 3D reconstruction.

When to Use

• Reading, writing, and displaying images and videos from files or cameras.
• Image preprocessing (resizing, cropping, rotating, color conversion).
• Edge detection (Canny, Sobel) and contour finding.
• Feature detection and matching (SIFT, ORB, AKAZE).
• Object detection (Haar Cascades, HOG, DNN module for YOLO/SSD).
• Face detection and recognition.
• Image segmentation (thresholding, watershed, GrabCut).
• Video analysis (motion detection, object tracking, optical flow).
• Camera calibration and 3D reconstruction.
• Image stitching and panorama creation.
• Real-time applications requiring fast performance.

Reference Documentation