000			02994nam a2200253Ia 4500
001			41555
003			IN-BdCUP
005			20230421153806.0
008			230413s9999 000 0 eng
020			_a9781789954555
040			_beng _cIN-BdCUP
041			_aeng
082			_a006.37 _bREV
100			_aRever, Matthew
245		0	_aComputer Vision Projects with OpenCV and Python 3 : _bSix End-To-end Projects Built Using Machine Learning with OpenCV, Python, and TensorFlow / _cRever, Matthew
260			_aBirmingham : _bPacket Publishing, _c2018.
300			_a182 p. ; _c22 cm.
520			_aGain a working knowledge of advanced machine learning and explore Python's powerful tools for extracting data from images and videos Key Features Implement image classification and object detection using machine learning and deep learning Perform image classification, object detection, image segmentation, and other Computer Vision tasks Crisp content with a practical approach to solving real-world problems in Computer Vision Book Description Python is the ideal programming language for rapidly prototyping and developing production-grade codes for image processing and Computer Vision with its robust syntax and wealth of powerful libraries. This book will help you design and develop production-grade Computer Vision projects tackling real-world problems. With the help of this book, you will learn how to set up Anaconda and Python for the major OSes with cutting-edge third-party libraries for Computer Vision. You'll learn state-of-the-art techniques for classifying images, finding and identifying human postures, and detecting faces within videos. You will use powerful machine learning tools such as OpenCV, Dlib, and TensorFlow to build exciting projects such as classifying handwritten digits, detecting facial features,and much more. The book also covers some advanced projects, such as reading text from license plates from real-world images using Google's Tesseract software, and tracking human body poses using DeeperCut within TensorFlow. By the end of this book, you will have the expertise required to build your own Computer Vision projects using Python and its associated libraries. What you will learn Install and run major Computer Vision packages within Python Apply powerful support vector machines for simple digit classification Understand deep learning with TensorFlow Build a deep learning classifier for general images Use LSTMs for automated image captioning Read text from real-world images Extract human pose data from images Who this book is for Python programmers and machine learning developers who wish to build exciting Computer Vision projects using the power of machine learning and OpenCV will find this book useful. The only prerequisite for this book is that you should have a sound knowledge of Python programming.
650			_aPython
650			_aComputers
650			_aComputer Vision Projects
650			_aOpenCV
942			_2ddc _cBK
999			_c1893 _d1893