000			02524 a2200205 4500
003			OSt
005			20240131153810.0
008			240131b |||||||| |||| 00| 0 eng d
020			_a9781789531619
040			_aICTS-TIFR
050			_aQA76.73
100			_aHowse, Joseph
245			_aLearning openCV 4 computer vision with python 3 _b: get to grips with tools, techniques, and algorithms for computer vision and machine learning
260			_bPackt Publishing, _a Birmingham : _c[c2020]
300			_a358 p.
505			_aChapter 1: Setting Up OpenCV Chapter 2: Handling Files, Cameras, and GUIs Chapter 3: Processing Images with OpenCV Chapter 4: Depth Estimation and Segmentation Chapter 5: Detecting and Recognizing Faces Chapter 6: Retrieving Images and Searching Using Image Descriptors Chapter 7: Building Custom Object Detectors Chapter 8: Tracking Objects Chapter 9: Camera Models and Augmented Reality Chapter 10: Neural Networks with OpenCV - An Introduction Appendix A: Bending Color Space with a Curves Filter
520			_aComputer vision is a rapidly evolving science, encompassing diverse applications and techniques. This book will not only help those who are getting started with computer vision but also experts in the domain. You’ll be able to put theory into practice by building apps with OpenCV 4 and Python 3. You’ll start by understanding OpenCV 4 and how to set it up with Python 3 on various platforms. Next, you’ll learn how to perform basic operations such as reading, writing, manipulating, and displaying still images, videos, and camera feeds. From taking you through image processing, video analysis, and depth estimation and segmentation, to helping you gain practice by building a GUI app, this book ensures you’ll have opportunities for hands-on activities. Next, you’ll tackle two popular challenges: face detection and face recognition. You’ll also learn about object classification and machine learning concepts, which will enable you to create and use object detectors and classifiers, and even track objects in movies or video camera feed. Later, you’ll develop your skills in 3D tracking and augmented reality. Finally, you’ll cover ANNs and DNNs, learning how to develop apps for recognizing handwritten digits and classifying a person's gender and age. By the end of this book, you’ll have the skills you need to execute real-world computer vision projects. Summary provided by the publisher
700			_aMinichino, Joe
942			_2lcc _cBK
999			_c35077 _d35077