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. With Practical OpenCV you'll be able to: Get OpenCV up and running on Windows or Linux. Use OpenCV to control the camera board and run vision algorithms on Raspberry Pi. Understand what goes on behind the scenes in computer vision applications like object detection image stitching filtering stereo vision and more. Code complex computer vision projects for your class/hobby/robot/job many of which can execute in real time on off-the-shelf processors. Combine different modules that you develop to create your own interactive computer vision app.
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