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Getting Started with OpenCV in .NET

Kobi Hikri

In this course, you will become familiar with the OpenCV computer vision open source library. We will demonstrate proper usage under .NET and will write samples of common image processing tasks. The course will focus on getting you started with OpenCV and will give you the tools for further self-exploration of the library.

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In this course, you will become familiar with the OpenCV computer vision open source library. We will demonstrate proper usage under .NET and will write samples of common image processing tasks. The course will focus on getting you started with OpenCV and will give you the tools for further self-exploration of the library.

In this course, you will become familiar with the OpenCV computer vision open source library. We will demonstrate proper usage under .NET and will write samples of common image processing tasks. The course will focus on getting you started with OpenCV and will give you the tools for further self-exploration of the library. As OpenCV is a native C / C++ library, we will use the popular Emgu CV .NET wrapper in order to consume OpenCV. As we walk through the course, we will get a better understating of the domain of computer-vision in general and computer-vision problem solving in particular.

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What's inside

Syllabus

Getting Started
Interacting with OpenCV in .NET
Understanding 2D Feature Processing
Applying OpenCV
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Introducing Hardware Acceleration

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Taught by Kobi Hikri, who are recognized for their work in computer vision
Develops computer vision problem solving
Teaches proper usage of of OpenCV under .NET
Examines OpenCV, which is highly relevant to computer vision
Develops foundational skills in computer vision
Requires Emgu CV .NET wrapper to consume OpenCV
May require prerequisite knowledge in the domain of computer-vision

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Activities

Coming soon We're preparing activities for Getting Started with OpenCV in .NET. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Getting Started with OpenCV in .NET will develop knowledge and skills that may be useful to these careers:
Computer Vision Engineer
Computer Vision Engineers are responsible for designing, developing, and implementing computer vision systems. OpenCV is a popular open source library for computer vision, and this course can help you learn how to use it effectively. The course will teach you the basics of computer vision, including image processing, feature detection, and object recognition. You will also learn how to use OpenCV to develop your own computer vision applications.
Robotics Engineer
Robotics Engineers design, build, and test robots. OpenCV is a popular open source library for computer vision, and it can be used to develop vision systems for robots. This course will teach you the basics of computer vision, including image processing, feature detection, and object recognition. You will also learn how to use OpenCV to develop your own computer vision applications for robots.
Machine Learning Engineer
Machine Learning Engineers design, develop, and implement machine learning algorithms. OpenCV is a popular open source library for computer vision, and it can be used to develop computer vision applications for machine learning. This course will teach you the basics of computer vision, including image processing, feature detection, and object recognition. You will also learn how to use OpenCV to develop your own computer vision applications for machine learning.
Data Scientist
Data Scientists use data to solve problems. OpenCV is a popular open source library for computer vision, and it can be used to develop computer vision applications for data science. This course will teach you the basics of computer vision, including image processing, feature detection, and object recognition. You will also learn how to use OpenCV to develop your own computer vision applications for data science.
Software Engineer
Computer Vision Engineers design, develop, and implement computer vision systems. OpenCV is a popular open source library for computer vision, and this course can help you learn how to use it effectively. The course will teach you the basics of computer vision, including image processing, feature detection, and object recognition. You will also learn how to use OpenCV to develop your own computer vision applications.
Computer Vision Researcher
Computer Vision Researchers develop new computer vision algorithms and techniques. OpenCV is a popular open source library for computer vision, and this course can help you learn how to use it effectively. The course will teach you the basics of computer vision, including image processing, feature detection, and object recognition. You will also learn how to use OpenCV to develop your own computer vision applications.
Image Processing Engineer
Image Processing Engineers design, develop, and implement image processing algorithms and techniques. OpenCV is a popular open source library for image processing, and this course can help you learn how to use it effectively. The course will teach you the basics of image processing, including image enhancement, image restoration, and image analysis. You will also learn how to use OpenCV to develop your own image processing applications.
Computer Graphics Engineer
Computer Graphics Engineers design, develop, and implement computer graphics algorithms and techniques. OpenCV is a popular open source library for computer vision, and it can be used to develop computer vision applications for computer graphics. This course will teach you the basics of computer vision, including image processing, feature detection, and object recognition. You will also learn how to use OpenCV to develop your own computer vision applications for computer graphics.
Artificial Intelligence Engineer
Artificial Intelligence Engineers design, develop, and implement artificial intelligence algorithms and techniques. OpenCV is a popular open source library for computer vision, and it can be used to develop computer vision applications for artificial intelligence. This course will teach you the basics of computer vision, including image processing, feature detection, and object recognition. You will also learn how to use OpenCV to develop your own computer vision applications for artificial intelligence.
Data Analyst
Data Analysts use data to solve problems. OpenCV is a popular open source library for computer vision, and it can be used to develop computer vision applications for data analysis. This course will teach you the basics of computer vision, including image processing, feature detection, and object recognition. You will also learn how to use OpenCV to develop your own computer vision applications for data analysis.
Web Developer
Web Developers design, develop, and implement websites. OpenCV is a popular open source library for computer vision, and it can be used to develop computer vision applications for the web. This course will teach you the basics of computer vision, including image processing, feature detection, and object recognition. You will also learn how to use OpenCV to develop your own computer vision applications for the web.
Game Developer
Game Developers design, develop, and implement video games. OpenCV is a popular open source library for computer vision, and it can be used to develop computer vision applications for video games. This course will teach you the basics of computer vision, including image processing, feature detection, and object recognition. You will also learn how to use OpenCV to develop your own computer vision applications for video games.
User Experience Designer
User Experience Designers design, develop, and implement user interfaces. OpenCV is a popular open source library for computer vision, and it can be used to develop computer vision applications for user interfaces. This course will teach you the basics of computer vision, including image processing, feature detection, and object recognition. You will also learn how to use OpenCV to develop your own computer vision applications for user interfaces.
Product Manager
Product Managers plan, develop, and market products. OpenCV is a popular open source library for computer vision, and it can be used to develop computer vision applications for products. This course will teach you the basics of computer vision, including image processing, feature detection, and object recognition. You will also learn how to use OpenCV to develop your own computer vision applications for products.
Technical Writer
Technical Writers write documentation for software and other products. OpenCV is a popular open source library for computer vision, and this course can help you learn how to use it effectively. The course will teach you the basics of computer vision, including image processing, feature detection, and object recognition. You will also learn how to use OpenCV to develop your own computer vision applications.

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Getting Started with OpenCV in .NET.
Practical guide to using OpenCV for computer vision applications. It covers a wide range of topics, including image processing, feature detection, object recognition, and machine learning. It valuable resource for anyone who wants to learn more about OpenCV.
Provides a comprehensive overview of computer vision algorithms and applications. It covers a wide range of topics, including image processing, feature detection, object recognition, and 3D reconstruction. It valuable resource for anyone who wants to learn more about computer vision.
Comprehensive textbook on computer vision. It covers a wide range of topics, including image processing, feature detection, object recognition, and machine learning. It valuable resource for anyone who wants to learn more about computer vision.
Comprehensive handbook on image and video processing. It covers a wide range of topics, including image enhancement, image compression, image analysis, and video processing. It valuable resource for anyone who wants to learn more about image and video processing.
Textbook on computer vision. It covers a wide range of topics, including image processing, feature detection, object recognition, and machine learning. It valuable resource for anyone who wants to learn more about computer vision.
Practical guide to using deep learning for computer vision applications. It covers a wide range of topics, including image classification, object detection, and semantic segmentation. It valuable resource for anyone who wants to learn more about deep learning for computer vision.
Provides a comprehensive introduction to machine vision, covering fundamental concepts, algorithms, and applications. It includes a wealth of practical examples and exercises to help students gain a deep understanding of the field.
On pattern recognition provides a comprehensive overview of the field, including supervised learning, unsupervised learning, and statistical pattern recognition. It valuable resource for anyone who wants to learn more about pattern recognition.
Provides a hands-on introduction to OpenCV 4 and Python for computer vision. It covers topics such as image processing, feature detection, and machine learning for computer vision.
On digital image processing provides a comprehensive overview of the field, including image enhancement, image restoration, image analysis, and image compression. It valuable resource for anyone who wants to learn more about digital image processing.

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