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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.
Read more
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.
Read more
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/r18qwr/getting
What's inside
Syllabus
Getting Started
Interacting with OpenCV in .NET
Understanding 2D Feature Processing
Applying OpenCV
Read more
Syllabus
Getting Started
Interacting with OpenCV in .NET
Understanding 2D Feature Processing
Applying OpenCV
Read more
Introducing Hardware Acceleration
Good to know
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
Save this course
Save Getting Started with OpenCV in .NET to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Getting Started with OpenCV in .NET with these
activities:
Review 2D Feature Processing Concepts
Show steps
Strengthen your understanding of 2D feature processing algorithms used in computer vision.
Show steps
-
Read articles or tutorials on 2D feature processing
-
Solve practice problems involving feature detection and matching
Practice OpenCV Image Processing Exercises
Show steps
Reinforce your understanding of OpenCV image processing concepts by practicing various exercises.
Browse courses on
Image Processing
Show steps
-
Solve image manipulation challenges
-
Experiment with different image filters
-
Create custom filters using OpenCV functions
Attend a Computer Vision Conference
Show steps
Connect with industry professionals and learn about the latest advancements in computer vision.
Show steps
-
Identify and register for a relevant computer vision conference
-
Attend talks and workshops
-
Network with attendees
Four other activities
Expand to see all activities and additional details
Show all seven activities
Explore Advanced OpenCV Techniques
Show steps
Expand your OpenCV knowledge and skills by following comprehensive tutorials on advanced techniques.
Show steps
-
Implement object detection using deep learning
-
Build a facial recognition system
-
Create a real-time object tracking algorithm
Contribute to the OpenCV Community
Show steps
Gain practical experience and contribute to the development of OpenCV by making code contributions.
Show steps
-
Identify a suitable area for contribution
-
Fork the OpenCV repository
-
Make and test your contributions
-
Submit a pull request
Develop a Computer Vision Application
Show steps
Apply your OpenCV skills to create a practical computer vision application that solves a real-world problem.
Show steps
-
Identify a problem statement
-
Design and implement a solution using OpenCV
-
Test and evaluate the application
-
Deploy and share the application
Mentor Junior Computer Vision Enthusiasts
Show steps
Share your OpenCV knowledge by mentoring aspiring computer vision learners.
Show steps
-
Identify a mentee
-
Establish regular meetings
-
Provide guidance and support on OpenCV-related concepts
Review 2D Feature Processing Concepts
Show steps
Strengthen your understanding of 2D feature processing algorithms used in computer vision.
Show steps
Show steps
Show steps
- Read articles or tutorials on 2D feature processing
- Solve practice problems involving feature detection and matching
Practice OpenCV Image Processing Exercises
Show steps
Reinforce your understanding of OpenCV image processing concepts by practicing various exercises.
Browse courses on
Image Processing
Show steps
Show steps
Show steps
- Solve image manipulation challenges
- Experiment with different image filters
- Create custom filters using OpenCV functions
Attend a Computer Vision Conference
Show steps
Connect with industry professionals and learn about the latest advancements in computer vision.
Show steps
Show steps
Show steps
- Identify and register for a relevant computer vision conference
- Attend talks and workshops
- Network with attendees
Four other activities
Expand to see all activities and additional details
Show all seven activities
Explore Advanced OpenCV Techniques
Show steps
Expand your OpenCV knowledge and skills by following comprehensive tutorials on advanced techniques.
Show steps
Show steps
Show steps
- Implement object detection using deep learning
- Build a facial recognition system
- Create a real-time object tracking algorithm
Contribute to the OpenCV Community
Show steps
Gain practical experience and contribute to the development of OpenCV by making code contributions.
Show steps
Show steps
Show steps
- Identify a suitable area for contribution
- Fork the OpenCV repository
- Make and test your contributions
- Submit a pull request
Develop a Computer Vision Application
Show steps
Apply your OpenCV skills to create a practical computer vision application that solves a real-world problem.
Show steps
Show steps
Show steps
- Identify a problem statement
- Design and implement a solution using OpenCV
- Test and evaluate the application
- Deploy and share the application
Mentor Junior Computer Vision Enthusiasts
Show steps
Share your OpenCV knowledge by mentoring aspiring computer vision learners.
Show steps
Show steps
Show steps
- Identify a mentee
- Establish regular meetings
- Provide guidance and support on OpenCV-related concepts
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 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 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 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 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
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 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 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 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 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 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 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 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 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 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 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.
For more career information including salaries, visit:
OpenCourser.com/course/r18qwr/getting
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.
Save
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.
Save
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.
Save
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.
Save
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.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/r18qwr/getting
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Time
87 hours
Level
Introductory
Via
Pluralsight
Instructor
Kobi Hikri
Language
English
Good to know
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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