{"product_id":"moodle-3-x-developers-guide-build-custom-plugins-extensions-modules-and-more-paperback","title":"Moodle 3.x Developer's Guide: Build custom plugins, extensions, modules and more - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eIan Wild\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUnleash the power of computer vision with Python using OpenCV\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eKey Features\u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eCreate impressive applications with OpenCV and Python\u003c\/li\u003e \u003cli\u003eFamiliarize yourself with advanced machine learning concepts\u003c\/li\u003e \u003cli\u003eHarness the power of computer vision with this easy-to-follow guide\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003eBook Description\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eOpenCV 3 is a state-of-the-art computer vision library that allows a great variety of image and video processing operations. Some of the more spectacular and futuristic features such as face recognition or object tracking are easily achievable with OpenCV 3. Learning the basic concepts behind computer vision algorithms, models, and OpenCV's API will enable the development of all sorts of real-world applications, including security and surveillance.\u003c\/p\u003e \u003cp\u003eStarting with basic image processing operations, the book will take you through to advanced computer vision concepts. Computer vision is a rapidly evolving science whose applications in the real world are exploding, so this book will appeal to computer vision novices as well as experts of the subject wanting to learn the brand new OpenCV 3.0.0. You will build a theoretical foundation of image processing and video analysis, and progress to the concepts of classification through machine learning, acquiring the technical know-how that will allow you to create and use object detectors and classifiers, and even track objects in movies or video camera feeds. Finally, the journey will end in the world of artificial neural networks, along with the development of a hand-written digits recognition application.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhat you will learn\u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eInstall and familiarize yourself with OpenCV 3's Python API\u003c\/li\u003e \u003cli\u003eGrasp the basics of image processing and video analysis\u003c\/li\u003e \u003cli\u003eIdentify and recognize objects in images and videos\u003c\/li\u003e \u003cli\u003eDetect and recognize faces using OpenCV\u003c\/li\u003e \u003cli\u003eTrain and use your own object classifiers\u003c\/li\u003e \u003cli\u003eLearn about machine learning concepts in a computer vision context\u003c\/li\u003e \u003cli\u003eWork with artificial neural networks using OpenCV\u003c\/li\u003e \u003cli\u003eDevelop your own computer vision real-life application \u003c\/li\u003e \u003c\/ul\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 368\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.76 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e June 29, 2017\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47212575523065,"sku":"9781786467119","price":73.42,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/WnlrVWJXekFPanB0UitZakxRa3I3UT09.webp?v=1768094528","url":"https:\/\/bookscloud.io\/products\/moodle-3-x-developers-guide-build-custom-plugins-extensions-modules-and-more-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}