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Hands-On Computer Vision with TensorFlow 2.
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#Opencv for secret agents pdf pdf#
We also provide a PDF file that has color images of the screenshots/diagrams used in this book. With the following software and hardware list you can run all code files present in the book (Chapter 1-10). Although no prior knowledge of image processing, computer vision or machine learning is required, familiarity with basic Python programming is a must. This OpenCV book will also be useful for anyone getting started with computer vision as well as experts who want to stay up-to-date with OpenCV 4 and Python 3. If you are interested in learning computer vision, machine learning, and OpenCV in the context of practical real-world applications, then this book is for you. GrayImage = cv2.imread('MyPic.png', cv2.IMREAD_GRAYSCALE)įollowing is what you need for this book: If you feel this book is for you, get your copy today!Īll of the code is organized into folders. Work with machine learning models, including SVMs, artificial neural networks(ANNs), and deep neural networks(DNNs).Build an augmented reality application to track an image in 3D.Detect and recognize faces, and classify their gender and age.Train and use your own models to match images and classify objects.Detect and identify objects, and track their motion in videos.Use a depth camera to distinguish foreground and background regions.Understand image processing and video analysis basics.