کارگاه بینایی کامپیوتر؛ توسعه مهارت های مورد نیاز برای استفاده از الگوریتم های بینایی کامپیوتر در پروژه های هوش مصنوعی
قیمت 16,000 تومان
سال انتشار: 2020 | تعداد صفحات: 567 | حجم فایل: 37.76 مگابایت | زبان: انگلیسی
The Computer Vision Workshop: Develop the skills you need to use computer vision algorithms in your own artificial intelligence projects
Hafsa Asad, Vishwesh Ravi Shrimali, Nikhil Singh
Explore the potential of deep learning techniques in computer vision applications using the Python ecosystem, and build real-time systems for detecting human behavior
Understand OpenCV and select the right algorithm to solve real-world problems
Discover techniques for image and video processing
Learn how to apply face recognition in videos to automatically extract key information
Computer Vision (CV) has become an important aspect of AI technology. From driverless cars to medical diagnostics and monitoring the health of crops to fraud detection in banking, computer vision is used across all domains to automate tasks. The Computer Vision Workshop will help you understand how computers master the art of processing digital images and videos to mimic human activities.
Starting with an introduction to the OpenCV library, you'll learn how to write your first script using basic image processing operations. You'll then get to grips with essential image and video processing techniques such as histograms, contours, and face processing. As you progress, you'll become familiar with advanced computer vision and deep learning concepts, such as object detection, tracking, and recognition, and finally shift your focus from 2D to 3D visualization. This CV course will enable you to experiment with camera calibration and explore both passive and active canonical 3D reconstruction methods.
By the end of this book, you'll have developed the practical skills necessary for building powerful applications to solve computer vision problems.
What you will learn
Access and manipulate pixels in OpenCV using BGR and grayscale images
Create histograms to better understand image content
Use contours for shape analysis, object detection, and recognition
Track objects in videos using a variety of trackers available in OpenCV
Discover how to apply face recognition tasks using computer vision techniques
Visualize 3D objects in point clouds and polygon meshes using Open3D
Who this book is for
If you are a researcher, developer, or data scientist looking to automate everyday tasks using computer vision, this workshop is for you. A basic understanding of Python and deep learning will help you to get the most out of this workshop.
Table of Contents
Basics of Image Processing
Common Operations When Working with Images
Working with Histograms
Working with Contours
Face Processing in Image and Video
Object Detection and Face Recognition
OpenVINO with OpenCV