Practical Opencv

Practical OpenCV is a hands-on project book that shows you how to get the best results from OpenCV, the open-source computer vision library. Computer vision is key to technologies like object recognition, shape detection, and depth estimation. OpenCV is an open-source library with over 2500 algorithms that you can use to do all of these, as well as track moving objects, extract 3D models, and overlay augmented reality. It's used by major companies like Google (in its autonomous car), Intel, and Sony; and it is the backbone of the Robot Operating System’s computer vision capability. In short, if you're working with computer vision at all, you need to know OpenCV.

Practical OpenCV is a hands-on project book that shows you how to get the best results from OpenCV, the open-source computer vision library.

Build computer vision OpenCV 3 applications with Python

OpenCV to Computer Vision app Like Face Recognition, Motion Detector, Hand Detector