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Ilias Papachristos
In this 1-hour long project-based course, you will learn how to do Computer Vision on images and videos with OpenCV and Python using Jupyter Notebook. You will understand how Neural Transfer Style works and you'll use it on images and on videos. Finally, you'll learn how to use the Green Screen Effect on your images.
This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your Internet...
Read more
In this 1-hour long project-based course, you will learn how to do Computer Vision on images and videos with OpenCV and Python using Jupyter Notebook. You will understand how Neural Transfer Style works and you'll use it on images and on videos. Finally, you'll learn how to use the Green Screen Effect on your images.
This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your Internet...
Read more
In this 1-hour long project-based course, you will learn how to do Computer Vision on images and videos with OpenCV and Python using Jupyter Notebook. You will understand how Neural Transfer Style works and you'll use it on images and on videos. Finally, you'll learn how to use the Green Screen Effect on your images.
This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your Internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, and OpenCV pre-installed.
Prerequisites:
In order to be successful in this project, you should have an intermediate knowledge of Python and OpenCV.
Notes:
- You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want.
- This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Register for this course and see more details by visiting:
OpenCourser.com/course/c0lpen/computer
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Introduces a project-based approach, which is standard in industry
Instructs learners on Neural Transfer Style and Green Screen Effect, which are trending image processing techniques
Provides access to a pre-configured cloud desktop environment, ensuring a seamless learning experience
Requires an intermediate level of knowledge in Python and OpenCV, which may pose a barrier to complete beginners
Access to the cloud desktop is limited to five times, which may be a limiting factor for extensive hands-on practice
Save this course
Save Computer Vision: Neural Transfer Style & Green Screen Effect to your list so you can find it easily later:
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Reviews summary
Code-along project
This course on Rhyme is described by reviewers as a "useful" and "easy" way to learn the basics of computer vision as it pertains to image editing. There are reviews that complain about a lack of instruction around resources and workflow, but most learners seemed to enjoy the experience. Rhyme provides users with cloud-based access to software and other tools needed to complete the projects in the course.
Rhyme allows you to access tools in the cloud
"For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, and OpenCV pre-installed."
Learn through code-along projects
"This guided project is not upto the standards."
"On Rhyme, you do projects in a hands-on manner in your browser."
Some reviewers complained of a lack of resources
"No explanation given for workflow ,no resource files given."
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 Computer Vision: Neural Transfer Style & Green Screen Effect with these
activities:
Review Computer Vision and OpenCV Concepts
Show steps
Strengthen your foundation by reviewing key concepts in computer vision and OpenCV before starting the course.
Browse courses on
Computer Vision
Show steps
-
Review basic image processing techniques.
-
Familiarize yourself with OpenCV's functions for object detection and image manipulation.
Review the basics of Python and OpenCV
Show steps
This will help you refresh your memory on the fundamentals and prepare you for the course.
Browse courses on
OpenCV
Show steps
-
Go over your notes from previous courses or tutorials
-
Read articles or blog posts about Python and OpenCV
-
Try to solve some simple coding challenges
Explore OpenCV Tutorials on Neural Transfer Style
Show steps
Expand your knowledge by exploring tutorials on Neural Transfer Style using OpenCV.
Browse courses on
Computer Vision
Show steps
-
Search for OpenCV tutorials on Neural Transfer Style.
-
Follow the tutorials to implement Neural Transfer Style on your own.
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Solve coding challenges on LeetCode or HackerRank
Show steps
These challenges will help you improve your coding skills and problem-solving abilities.
Browse courses on
Coding
Show steps
-
Choose a challenge that you're interested in
-
Read the problem statement carefully
-
Come up with a solution
-
Implement your solution in code
-
Test and debug your code
Follow tutorials on OpenCV and Python for Computer Vision
Show steps
These tutorials will help you reinforce the concepts learned in the course and gain hands-on experience.
Browse courses on
OpenCV
Show steps
-
Find a tutorial that covers a topic you're interested in
-
Follow the tutorial step-by-step
-
Experiment with the code and explore different options
Practice Object Detection with OpenCV
Show steps
Solidify your understanding of object detection by practicing with OpenCV.
Browse courses on
Object Detection
Show steps
-
Import the necessary libraries and load an image.
-
Use OpenCV's object detection model to detect objects in the image.
-
Draw bounding boxes around the detected objects and display the image.
Create a Computer Vision application using OpenCV and Python
Show steps
This project will help you apply the concepts learned in the course to a practical application.
Browse courses on
OpenCV
Show steps
-
Choose a project idea
-
Gather the necessary resources
-
Develop your application
-
Test and debug your application
-
Deploy your application
Join an online study group or forum for Computer Vision
Show steps
This will provide you with a community of peers to learn from and collaborate with.
Browse courses on
OpenCV
Show steps
-
Find a study group or forum that matches your interests
-
Introduce yourself and ask questions
-
Participate in discussions and share your knowledge
Attend a workshop on Computer Vision
Show steps
This will provide you with an opportunity to learn from experts and network with other professionals.
Browse courses on
OpenCV
Show steps
-
Find a workshop that covers a topic you're interested in
-
Register for the workshop
-
Attend the workshop and take notes
Create a Video with the Green Screen Effect
Show steps
Enhance your video editing skills by creating a video with the Green Screen Effect using OpenCV.
Browse courses on
Computer Vision
Show steps
-
Import the necessary libraries and load a video.
-
Extract the green screen from the background using OpenCV.
-
Composite the foreground onto a new background.
-
Export the final video.
Participate in a computer vision competition
Show steps
This will challenge you to apply your skills and knowledge to solve real-world problems.
Browse courses on
OpenCV
Show steps
-
Find a competition that you're interested in
-
Read the competition rules and guidelines
-
Develop a solution to the competition problem
-
Submit your solution to the competition
Develop a Computer Vision Application
Show steps
Apply your knowledge by developing a computer vision application that utilizes OpenCV and Neural Transfer Style.
Browse courses on
Computer Vision
Show steps
-
Brainstorm an idea for a computer vision application.
-
Design the application's user interface.
-
Implement the computer vision algorithms using OpenCV.
-
Test and debug the application.
-
Deploy the application.
Review Computer Vision and OpenCV Concepts
Show steps
Strengthen your foundation by reviewing key concepts in computer vision and OpenCV before starting the course.
Browse courses on
Computer Vision
Show steps
Show steps
Show steps
- Review basic image processing techniques.
- Familiarize yourself with OpenCV's functions for object detection and image manipulation.
Review the basics of Python and OpenCV
Show steps
This will help you refresh your memory on the fundamentals and prepare you for the course.
Browse courses on
OpenCV
Show steps
Show steps
Show steps
- Go over your notes from previous courses or tutorials
- Read articles or blog posts about Python and OpenCV
- Try to solve some simple coding challenges
Explore OpenCV Tutorials on Neural Transfer Style
Show steps
Expand your knowledge by exploring tutorials on Neural Transfer Style using OpenCV.
Browse courses on
Computer Vision
Show steps
Show steps
Show steps
- Search for OpenCV tutorials on Neural Transfer Style.
- Follow the tutorials to implement Neural Transfer Style on your own.
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Solve coding challenges on LeetCode or HackerRank
Show steps
These challenges will help you improve your coding skills and problem-solving abilities.
Browse courses on
Coding
Show steps
Show steps
Show steps
- Choose a challenge that you're interested in
- Read the problem statement carefully
- Come up with a solution
- Implement your solution in code
- Test and debug your code
Follow tutorials on OpenCV and Python for Computer Vision
Show steps
These tutorials will help you reinforce the concepts learned in the course and gain hands-on experience.
Browse courses on
OpenCV
Show steps
Show steps
Show steps
- Find a tutorial that covers a topic you're interested in
- Follow the tutorial step-by-step
- Experiment with the code and explore different options
Practice Object Detection with OpenCV
Show steps
Solidify your understanding of object detection by practicing with OpenCV.
Browse courses on
Object Detection
Show steps
Show steps
Show steps
- Import the necessary libraries and load an image.
- Use OpenCV's object detection model to detect objects in the image.
- Draw bounding boxes around the detected objects and display the image.
Create a Computer Vision application using OpenCV and Python
Show steps
This project will help you apply the concepts learned in the course to a practical application.
Browse courses on
OpenCV
Show steps
Show steps
Show steps
- Choose a project idea
- Gather the necessary resources
- Develop your application
- Test and debug your application
- Deploy your application
Join an online study group or forum for Computer Vision
Show steps
This will provide you with a community of peers to learn from and collaborate with.
Browse courses on
OpenCV
Show steps
Show steps
Show steps
- Find a study group or forum that matches your interests
- Introduce yourself and ask questions
- Participate in discussions and share your knowledge
Attend a workshop on Computer Vision
Show steps
This will provide you with an opportunity to learn from experts and network with other professionals.
Browse courses on
OpenCV
Show steps
Show steps
Show steps
- Find a workshop that covers a topic you're interested in
- Register for the workshop
- Attend the workshop and take notes
Create a Video with the Green Screen Effect
Show steps
Enhance your video editing skills by creating a video with the Green Screen Effect using OpenCV.
Browse courses on
Computer Vision
Show steps
Show steps
Show steps
- Import the necessary libraries and load a video.
- Extract the green screen from the background using OpenCV.
- Composite the foreground onto a new background.
- Export the final video.
Participate in a computer vision competition
Show steps
This will challenge you to apply your skills and knowledge to solve real-world problems.
Browse courses on
OpenCV
Show steps
Show steps
Show steps
- Find a competition that you're interested in
- Read the competition rules and guidelines
- Develop a solution to the competition problem
- Submit your solution to the competition
Develop a Computer Vision Application
Show steps
Apply your knowledge by developing a computer vision application that utilizes OpenCV and Neural Transfer Style.
Browse courses on
Computer Vision
Show steps
Show steps
Show steps
- Brainstorm an idea for a computer vision application.
- Design the application's user interface.
- Implement the computer vision algorithms using OpenCV.
- Test and debug the application.
- Deploy the application.
Career center
Learners who complete Computer Vision: Neural Transfer Style & Green Screen Effect will develop knowledge and skills
that may be useful to these careers:
Computer Vision Engineer
Computer Vision Engineer
Computer Vision Engineers develop and implement computer vision systems for a variety of applications, such as image recognition, object detection, and tracking. This course will provide you with a comprehensive overview of computer vision, including the latest techniques in Neural Transfer Style and Green Screen Effect. You will also learn how to use OpenCV, Python, and Jupyter Notebook, which are essential tools for Computer Vision Engineers.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models. This course will help you build a foundation in computer vision, which is a fundamental field for Machine Learning Engineers who work with images and videos. You will also learn how to use OpenCV, Python, and Jupyter Notebook, which are essential tools for Machine Learning Engineers.
Data Scientist
Data Scientist
Data Scientists develop and evaluate models that help organizations make data-driven decisions. This course will provide you with the foundational skills to become a successful Data Scientist, including knowledge of OpenCV, Python, and Jupyter Notebook. You will also learn how to use Neural Transfer Style and Green Screen Effect, which are valuable skills for Data Scientists who work with images and videos.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course will help you develop the skills you need to become a successful Software Engineer, including knowledge of OpenCV, Python, and Jupyter Notebook. You will also learn how to use Neural Transfer Style and Green Screen Effect, which are valuable skills for Software Engineers who work with images and videos.
Data Analyst
Data Analyst
Data Analysts collect, analyze, and interpret data to help organizations make better decisions. This course will provide you with the skills you need to become a successful Data Analyst, including knowledge of OpenCV, Python, and Jupyter Notebook. You will also learn how to use Neural Transfer Style and Green Screen Effect, which are valuable skills for Data Analysts who work with images and videos.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. This course will help you develop the skills you need to become a successful Product Manager, including knowledge of OpenCV, Python, and Jupyter Notebook. You will also learn how to use Neural Transfer Style and Green Screen Effect, which are valuable skills for Product Managers who work with images and videos.
Operations Manager
Operations Manager
Operations Managers are responsible for the day-to-day operations of a company. This course will help you develop the skills you need to become a successful Operations Manager, including knowledge of OpenCV, Python, and Jupyter Notebook. You will also learn how to use Neural Transfer Style and Green Screen Effect, which are valuable skills for Operations Managers who work with images and videos.
Consultant
Consultant
Consultants provide expert advice and guidance to businesses and organizations. This course will help you develop the skills you need to become a successful Consultant, including knowledge of OpenCV, Python, and Jupyter Notebook. You will also learn how to use Neural Transfer Style and Green Screen Effect, which are valuable skills for Consultants who work with images and videos.
UX Designer
UX Designer
UX Designers design and evaluate the user experience of websites, apps, and other digital products. This course will help you build a foundation in computer vision, which is a fundamental field for UX Designers who work with images and videos. You will also learn how to use OpenCV, Python, and Jupyter Notebook, which are essential tools for UX Designers.
Marketing Manager
Marketing Manager
Marketing Managers develop and execute marketing campaigns to promote products and services. This course will help you develop the skills you need to become a successful Marketing Manager, including knowledge of OpenCV, Python, and Jupyter Notebook. You will also learn how to use Neural Transfer Style and Green Screen Effect, which are valuable skills for Marketing Managers who work with images and videos.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts are responsible for testing and evaluating software and products to ensure quality. This course will help you develop the skills you need to become a successful Quality Assurance Analyst, including knowledge of OpenCV, Python, and Jupyter Notebook. You will also learn how to use Neural Transfer Style and Green Screen Effect, which are valuable skills for Quality Assurance Analysts who work with images and videos.
Project Manager
Project Manager
Project Managers are responsible for planning, organizing, and executing projects. This course will help you develop the skills you need to become a successful Project Manager, including knowledge of OpenCV, Python, and Jupyter Notebook. You will also learn how to use Neural Transfer Style and Green Screen Effect, which are valuable skills for Project Managers who work with images and videos.
Sales Manager
Sales Manager
Sales Managers are responsible for leading and motivating sales teams to achieve sales goals. This course will help you develop the skills you need to become a successful Sales Manager, including knowledge of OpenCV, Python, and Jupyter Notebook. You will also learn how to use Neural Transfer Style and Green Screen Effect, which are valuable skills for Sales Managers who work with images and videos.
Business Analyst
Business Analyst
Business Analysts are responsible for analyzing business processes and developing solutions to improve efficiency. This course will help you develop the skills you need to become a successful Business Analyst, including knowledge of OpenCV, Python, and Jupyter Notebook. You will also learn how to use Neural Transfer Style and Green Screen Effect, which are valuable skills for Business Analysts who work with images and videos.
Financial Analyst
Financial Analyst
Financial Analysts are responsible for analyzing financial data and making recommendations to investors. This course will help you develop the skills you need to become a successful Financial Analyst, including knowledge of OpenCV, Python, and Jupyter Notebook. You will also learn how to use Neural Transfer Style and Green Screen Effect, which are valuable skills for Financial Analysts who work with images and videos.
For more career information including salaries, visit:
OpenCourser.com/course/c0lpen/computer
Reading list
We've selected 11 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
Computer Vision: Neural Transfer Style & Green Screen Effect.
Save
A comprehensive textbook on deep learning. The book covers a wide range of topics, from the basics of deep learning to advanced topics such as convolutional neural networks and recurrent neural networks.
Save
A classic textbook that has been used in computer vision courses for decades. The book covers a broad range of topics and great resource for both students and practitioners.
A modern and comprehensive textbook on computer vision. The book covers a wide range of topics, from the basics of image processing to advanced topics such as object detection and recognition.
A comprehensive textbook that covers a wide range of topics in machine learning and pattern recognition, including computer vision. The book is well-written and provides a good balance of theory and practice.
Save
For those that have a general background in computer vision, this book can serve as a valuable reference. This comprehensive text introduces a wide range of topics from image processing to object recognition. It will also be more helpful as a reference text than as a practical guide for applying computer vision.
Save
A practical guide to OpenCV, a popular open-source library for computer vision. The book covers a wide range of topics, from the basics of image processing to advanced topics such as object detection and recognition.
Save
A comprehensive textbook on computer graphics. The book covers a wide range of topics, from the basics of computer graphics to advanced topics such as rendering and animation.
A classic textbook on digital image processing. The book covers a wide range of topics, from the basics of image processing to advanced topics such as image segmentation and compression.
A practical guide to deep learning for computer vision. The book covers a wide range of topics, from the basics of deep learning to advanced topics such as object detection and segmentation.
While this book is more useful as additional reading due to being slightly more challenging, it does cover a wide range of concepts in deep learning. Individuals who are new to neural networks and deep learning would benefit a lot from it as it relates to computer vision.
While this is more geared towards linear algebra, it provides a strong foundation for anyone who will be working in computer vision. provides a solid introduction to numerical linear algebra, which is essential for many computer vision algorithms.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/c0lpen/computer
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Time
2 hours
Via
Coursera
Institutions
Rhyme
Coursera Project Network
Instructor
Ilias Papachristos
Good to know
Introduces a project-based approach, which is standard in industry
Instructs learners on Neural Transfer Style and Green Screen Effect, which are trending image processing techniques
Provides access to a pre-configured cloud desktop environment, ensuring a seamless learning experience
Requires an intermediate level of knowledge in Python and OpenCV, which may pose a barrier to complete beginners
Access to the cloud desktop is limited to five times, which may be a limiting factor for extensive hands-on practice
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