OpenCV is an open-source library used in Python for computer vision and image processing tasks. It provides tools for reading, processing, and analyzing visual data, such as images and videos. Common applications include face detection, object recognition, and motion tracking. For example, you can use OpenCV's cv2.CascadeClassifier to detect faces or the cv2.Canny() function for edge detection. OpenCV also supports advanced functionalities like image segmentation, feature extraction, and real-time video processing, making it widely used in domains such as robotics, healthcare, and augmented reality.
What is the use of the OpenCV library in Python?
- The Definitive Guide to Building RAG Apps with LlamaIndex
- AI & Machine Learning
- Master Video AI
- Retrieval Augmented Generation (RAG) 101
- Exploring Vector Database Use Cases
- All learn series →
Recommended AI Learn Series
VectorDB for GenAI Apps
Zilliz Cloud is a managed vector database perfect for building GenAI applications.
Try Zilliz Cloud for FreeKeep Reading
What is a distributed SQL database?
A distributed SQL database is a type of database that spreads its data across multiple locations or servers while still
What is the role of workload characterization in benchmarks?
Workload characterization plays a crucial role in benchmarking because it helps define and replicate the conditions unde
How are embeddings evaluated?
Embeddings are evaluated based on their ability to capture meaningful relationships and similarities in data, particular