The Computer Vision Workshop: Develop the skills you need to use computer vision algorithms in your own artificial intelligence projects
bExplore the potential of deep learning techniques in computer vision applications using the Python ecosystem, and build real-time systems for detecting human behavior/b h4Key Features/h4 ulliUnderstand OpenCV and select the right algorithm to solve real-world problems /li liDiscover techniques for...
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Birmingham
Packt Publishing Limited
2020
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Ausgabe: | 1 |
Schlagworte: | |
Zusammenfassung: | bExplore the potential of deep learning techniques in computer vision applications using the Python ecosystem, and build real-time systems for detecting human behavior/b h4Key Features/h4 ulliUnderstand OpenCV and select the right algorithm to solve real-world problems /li liDiscover techniques for image and video processing /li liLearn how to apply face recognition in videos to automatically extract key information/li/ul h4Book Description/h4 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. h4What you will learn/h4 ulliAccess and manipulate pixels in OpenCV using BGR and grayscale images /li liCreate histograms to better understand image content /li liUse contours for shape analysis, object detection, and recognition /li liTrack objects in videos using a variety of trackers available in OpenCV /li liDiscover how to apply face recognition tasks using computer vision techniques /li liVisualize 3D objects in point clouds and polygon meshes using Open3D/li/ul h4Who this book is for/h4 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 |
Beschreibung: | 1 Online-Ressource (568 Seiten) |
ISBN: | 9781800207141 |
Internformat
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520 | |a bExplore the potential of deep learning techniques in computer vision applications using the Python ecosystem, and build real-time systems for detecting human behavior/b h4Key Features/h4 ulliUnderstand OpenCV and select the right algorithm to solve real-world problems /li liDiscover techniques for image and video processing /li liLearn how to apply face recognition in videos to automatically extract key information/li/ul h4Book Description/h4 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. | ||
520 | |a 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. | ||
520 | |a h4What you will learn/h4 ulliAccess and manipulate pixels in OpenCV using BGR and grayscale images /li liCreate histograms to better understand image content /li liUse contours for shape analysis, object detection, and recognition /li liTrack objects in videos using a variety of trackers available in OpenCV /li liDiscover how to apply face recognition tasks using computer vision techniques /li liVisualize 3D objects in point clouds and polygon meshes using Open3D/li/ul h4Who this book is for/h4 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 | ||
650 | 4 | |a COMPUTERS / Computer Vision & | |
650 | 4 | |a Pattern Recognition | |
650 | 4 | |a COMPUTERS / Image Processing | |
700 | 1 | |a Shrimali, Vishwesh Ravi |e Sonstige |4 oth | |
700 | 1 | |a Singh, Nikhil |e Sonstige |4 oth | |
912 | |a ZDB-5-WPSE | ||
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spelling | Asad, Hafsa Verfasser aut The Computer Vision Workshop Develop the skills you need to use computer vision algorithms in your own artificial intelligence projects Asad, Hafsa 1 Birmingham Packt Publishing Limited 2020 1 Online-Ressource (568 Seiten) txt rdacontent c rdamedia cr rdacarrier bExplore the potential of deep learning techniques in computer vision applications using the Python ecosystem, and build real-time systems for detecting human behavior/b h4Key Features/h4 ulliUnderstand OpenCV and select the right algorithm to solve real-world problems /li liDiscover techniques for image and video processing /li liLearn how to apply face recognition in videos to automatically extract key information/li/ul h4Book Description/h4 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. h4What you will learn/h4 ulliAccess and manipulate pixels in OpenCV using BGR and grayscale images /li liCreate histograms to better understand image content /li liUse contours for shape analysis, object detection, and recognition /li liTrack objects in videos using a variety of trackers available in OpenCV /li liDiscover how to apply face recognition tasks using computer vision techniques /li liVisualize 3D objects in point clouds and polygon meshes using Open3D/li/ul h4Who this book is for/h4 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 COMPUTERS / Computer Vision & Pattern Recognition COMPUTERS / Image Processing Shrimali, Vishwesh Ravi Sonstige oth Singh, Nikhil Sonstige oth |
spellingShingle | Asad, Hafsa The Computer Vision Workshop Develop the skills you need to use computer vision algorithms in your own artificial intelligence projects COMPUTERS / Computer Vision & Pattern Recognition COMPUTERS / Image Processing |
title | The Computer Vision Workshop Develop the skills you need to use computer vision algorithms in your own artificial intelligence projects |
title_auth | The Computer Vision Workshop Develop the skills you need to use computer vision algorithms in your own artificial intelligence projects |
title_exact_search | The Computer Vision Workshop Develop the skills you need to use computer vision algorithms in your own artificial intelligence projects |
title_exact_search_txtP | The Computer Vision Workshop Develop the skills you need to use computer vision algorithms in your own artificial intelligence projects |
title_full | The Computer Vision Workshop Develop the skills you need to use computer vision algorithms in your own artificial intelligence projects Asad, Hafsa |
title_fullStr | The Computer Vision Workshop Develop the skills you need to use computer vision algorithms in your own artificial intelligence projects Asad, Hafsa |
title_full_unstemmed | The Computer Vision Workshop Develop the skills you need to use computer vision algorithms in your own artificial intelligence projects Asad, Hafsa |
title_short | The Computer Vision Workshop |
title_sort | the computer vision workshop develop the skills you need to use computer vision algorithms in your own artificial intelligence projects |
title_sub | Develop the skills you need to use computer vision algorithms in your own artificial intelligence projects |
topic | COMPUTERS / Computer Vision & Pattern Recognition COMPUTERS / Image Processing |
topic_facet | COMPUTERS / Computer Vision & Pattern Recognition COMPUTERS / Image Processing |
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