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Alberto Fernandez
Mastering OpenCV 4 with Python
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1913379Mastering OpenCV 4 with Pythonhttps://www.gandhi.com.mx/mastering-opencv-4-with-python/phttps://gandhi.vtexassets.com/arquivos/ids/1281943/de2d2d8d-f7bd-4873-ab78-03d73c9c3801.jpg?v=638337778541130000https://gandhi.vtexassets.com/arquivos/ids/1280755/de2d2d8d-f7bd-4873-ab78-03d73c9c3801.jpg?v=638337776374900000698776MXNPackt PublishingInStock/Ebooks/1881383Mastering OpenCV 4 with Python698776https://www.gandhi.com.mx/mastering-opencv-4-with-python/phttps://gandhi.vtexassets.com/arquivos/ids/1281943/de2d2d8d-f7bd-4873-ab78-03d73c9c3801.jpg?v=638337778541130000https://gandhi.vtexassets.com/arquivos/ids/1280755/de2d2d8d-f7bd-4873-ab78-03d73c9c3801.jpg?v=638337776374900000InStockMXN99999DIEbook20199781789349757_W3siaWQiOiJmNDYwMjVkMS1kYjU5LTRjMjktOWY4Ny1lNWUyODJlMGM3N2UiLCJsaXN0UHJpY2UiOjc3NiwiZGlzY291bnQiOjc4LCJzZWxsaW5nUHJpY2UiOjY5OCwiaW5jbHVkZXNUYXgiOnRydWUsInByaWNlVHlwZSI6Ildob2xlc2FsZSIsImN1cnJlbmN5IjoiTVhOIiwiZnJvbSI6IjIwMjQtMDQtMDhUMTY6MDA6MDBaIiwicmVnaW9uIjoiTVgiLCJpc1ByZW9yZGVyIjpmYWxzZX1d9781789349757_<p><strong>Create advanced applications with Python and OpenCV, exploring the potential of facial recognition, machine learning, deep learning, web computing and augmented reality.</strong></p><h4>Key Features</h4><ul><li>Develop your computer vision skills by mastering algorithms in Open Source Computer Vision 4 (OpenCV 4) and Python</li><li>Apply machine learning and deep learning techniques with TensorFlow and Keras</li><li>Discover the modern design patterns you should avoid when developing efficient computer vision applications</li></ul><h4>Book Description</h4><p>OpenCV is considered to be one of the best open source computer vision and machine learning software libraries. It helps developers build complete projects in relation to image processing, motion detection, or image segmentation, among many others. OpenCV for Python enables you to run computer vision algorithms smoothly in real time, combining the best of the OpenCV C API and the Python language.</p><p>In this book, youll get started by setting up OpenCV and delving into the key concepts of computer vision. Youll then proceed to study more advanced concepts and discover the full potential of OpenCV. The book will also introduce you to the creation of advanced applications using Python and OpenCV, enabling you to develop applications that include facial recognition, target tracking, or augmented reality. Next, youll learn machine learning techniques and concepts, understand how to apply them in real-world examples, and also explore their benefits, including real-time data production and faster data processing. Youll also discover how to translate the functionality provided by OpenCV into optimized application code projects using Python bindings. Toward the concluding chapters, youll explore the application of artificial intelligence and deep learning techniques using the popular Python libraries TensorFlow, and Keras.</p><p>By the end of this book, youll be able to develop advanced computer vision applications to meet your customers demands.</p><h4>What you will learn</h4><ul><li>Handle files and images, and explore various image processing techniques</li><li>Explore image transformations, including translation, resizing, and cropping</li><li>Gain insights into building histograms</li><li>Brush up on contour detection, filtering, and drawing</li><li>Work with Augmented Reality to build marker-based and markerless applications</li><li>Work with the main machine learning algorithms in OpenCV</li><li>Explore the deep learning Python libraries and OpenCV deep learning capabilities</li><li>Create computer vision and deep learning web applications</li></ul><h4>Who this book is for</h4><p>This book is designed for computer vision developers, engineers, and researchers who want to develop modern computer vision applications. Basic experience of OpenCV and Python programming is a must.</p>(*_*)9781789349757_<p><strong>Create advanced applications with Python and OpenCV, exploring the potential of facial recognition, machine learning, deep learning, web computing and augmented reality.</strong></p><h4>Key Features</h4><ul><li>Develop your computer vision skills by mastering algorithms in Open Source Computer Vision 4 (OpenCV 4) and Python</li><li>Apply machine learning and deep learning techniques with TensorFlow and Keras</li><li>Discover the modern design patterns you should avoid when developing efficient computer vision applications</li></ul><h4>Book Description</h4><p>OpenCV is considered to be one of the best open source computer vision and machine learning software libraries. It helps developers build complete projects in relation to image processing, motion detection, or image segmentation, among many others. OpenCV for Python enables you to run computer vision algorithms smoothly in real time, combining the best of the OpenCV C API and the Python language.</p><p>In this book, youll get started by setting up OpenCV and delving into the key concepts of computer vision. Youll then proceed to study more advanced concepts and discover the full potential of OpenCV. The book will also introduce you to the creation of advanced applications using Python and OpenCV, enabling you to develop applications that include facial recognition, target tracking, or augmented reality. Next, youll learn machine learning techniques and concepts, understand how to apply them in real-world examples, and also explore their benefits, including real-time data production and faster data processing. Youll also discover how to translate the functionality provided by OpenCV into optimized application code projects using Python bindings. Toward the concluding chapters, youll explore the application of artificial intelligence and deep learning techniques using the popular Python libraries TensorFlow, and Keras.</p><p>By the end of this book, youll be able to develop advanced computer vision applications to meet your customers demands.</p><h4>What you will learn</h4><ul><li>Handle files and images, and explore various image processing techniques</li><li>Explore image transformations, including translation, resizing, and cropping</li><li>Gain insights into building histograms</li><li>Brush up on contour detection, filtering, and drawing</li><li>Work with Augmented Reality to build marker-based and markerless applications</li><li>Work with the main machine learning algorithms in OpenCV</li><li>Explore the deep learning Python libraries and OpenCV deep learning capabilities</li><li>Create computer vision and deep learning web applications</li></ul><h4>Who this book is for</h4><p>This book is designed for computer vision developers, engineers, and researchers who want to develop modern computer vision applications. Basic experience of OpenCV and Python programming is a must.</p>...9781789349757_Packt Publishinglibro_electonico_ffc429c3-0102-3733-ada4-0444fb853ae7_9781789349757;9781789349757_9781789349757Alberto FernandezInglésMéxicohttps://getbook.kobo.com/koboid-prod-public/packt-epub-c3036be2-f03a-42eb-abcf-e6e61bc98ad6.epub2019-03-29T00:00:00+00:00Packt Publishing