opencv

Provides direct bindings to OpenCV, enabling high-performance computer vision tasks like real-time image processing and object detection in Node.js without C++ coding, as highlighted in the examples for face detection and contour analysis.

Supports a wide range of operations including image/video manipulation, object detection with Haar cascades, contour analysis, and face recognition, demonstrated through code snippets in the README for tasks like drawing shapes and training models.

Designed for real-time use cases such as quadrocopter control and video stream annotation, leveraging OpenCV's efficient algorithms for interactive projects, as mentioned in the project description and examples.

Aims to keep dependencies low, prioritizing robust native access to OpenCV with practical usability, which reduces bloat and aligns with the philosophy stated in the README.