opencv
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
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