What is Computer Vision Library?
The computer vision (CV) Library is a collection of image-processing library which helps coder to build computer vision application tasks. This library provides some important work like image recognition, object detection, and more complex operations like scene reconstruction, event detection, and image restoration.
The article aims to explore the most significant computer vision libraries, their features, functionalities, and the scenarios they are best suited for.
Table of Content
- OpenCV: The Open Source Vision Library
- TensorFlow: More Than Just a Vision Library
- PyTorch: The Research Favorite
- SimpleCV: The Beginner-Friendly Choice
- Additional Libraries for Computer Vision
- Matplotlib
- Pillow (PIL Fork)
- MXNet
- scikit-image
Computer Vision Libraries for Python: Features, Applications, and Suitability
Computer Vision allows machines to perceive and interpret the visual world. Computer vision captures images to understand the content and context of what is being seen and enables applications like autonomous driving, augmented reality, and more. Computer vision libraries are the backbone of these applications.