Practical Computer Vision

With Practical Computer Vision, leverage the power of Python, Tensorflow, Keras, and OpenCV to perform image processing, object detection, feature detection and more. With real-world datasets and fully functional code, this book is your one-stop guide to understanding Computer Vision. (Limited-time offer)

Book Description

Topics included: A fast introduction to computer vision • Libraries, development platform, and datasets • Image filtering and transformations in OpenCV • What is a feature? • Convolutional neural networks • Feature-based object detection • Segmentation and tracking • 3D computer vision • Mathematics for computer vision • Machine learning for computer vision.

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