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Ilias Papachristos
In this 1-hour long project-based course, you will learn how to connect to your computer's camera, open it, record yourself or something, save it, open the video file you have saved, draw on live video, interact on live video and at the end do Face Detection....
Read more
In this 1-hour long project-based course, you will learn how to connect to your computer's camera, open it, record yourself or something, save it, open the video file you have saved, draw on live video, interact on live video and at the end do Face Detection....
Read more
In this 1-hour long project-based course, you will learn how to connect to your computer's camera, open it, record yourself or something, save it, open the video file you have saved, draw on live video, interact on live video and at the end do Face Detection.
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 (e.g. Python, Jupyter, and Tensorflow) pre-installed.
Prerequisites:
In order to be successful in this project, you should have a fundamental knowledge of Python.
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/mhrkdn/video
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Good to know
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what to watch for , and
possible dealbreakers
Develops working knowledge in Computer Vision
Provides hands-on experience with Python, Jupyter, and Tensorflow
Teaches skills highly relevant to industry
Suitable for learners with fundamental knowledge in Python
Access to cloud desktop is limited to 5 times
Currently, the course is optimized for learners in North America
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Save Video Basics with OpenCV and Python to your list so you can find it easily later:
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Reviews summary
Well-reviewed project course
This is a hands-on, project-based course that runs on Coursera's Rhyme platform. The course has received generally positive reviews, with students praising the instructor, the hands-on approach, and the usefulness of the material. However, some students have criticized the course for its short length, lack of theory, and technical issues.
Instructor was knowledgeable and helpful- English was difficult for some learners.
"His English is terrible.."
"Difficult to understand the English of the instructor"
Course offers hands-on active learning in a browser.
"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."
The course is only 1 hour long.
"1 hour is also very less to learn this"
Some learners ran into various technical difficulties.
"The virtual desktop was not working properly."
"I found a lot of error codes "
Students had some issues with the rhyme interface.
"rhyme interface is not good"
The course lacks theoretical content and background- more theory was requested.
"More theory should be 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 Video Basics with OpenCV and Python with these
activities:
Review Python Fundamentals
Show steps
Refreshes your understanding of Python concepts and syntax to strengthen your foundation for the course.
Browse courses on
Python
Show steps
-
Go through your notes from previous Python courses or tutorials.
-
Complete online quizzes or practice exercises to test your understanding.
Join an OpenCV study group
Show steps
Enhance your learning through collaboration by joining an OpenCV study group and engage in discussions with fellow learners.
Browse courses on
OpenCV
Show steps
-
Find an existing OpenCV study group or start your own
-
Establish regular meeting times
-
Discuss OpenCV concepts and share your experiences
-
Work together on OpenCV projects
Solve Python Coding Challenges
Show steps
Enhances your problem-solving skills and applies Python concepts to practical scenarios.
Browse courses on
Python
Show steps
-
Find coding challenges online or in books.
-
Attempt to solve the challenges on your own.
-
Review the solutions and learn from your mistakes.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Follow along with OpenCV tutorials
Show steps
Supplement your learning by following along with online tutorials to reinforce your understanding of OpenCV concepts.
Browse courses on
OpenCV
Show steps
-
Find a reputable source for OpenCV tutorials
-
Choose a tutorial that aligns with your learning goals
-
Follow the instructions carefully
-
Experiment with the code and modify it to fit your needs
Explore Advanced Python Libraries
Show steps
Expands your knowledge of Python libraries to enhance your skills in specific areas, such as data analysis or machine learning.
Browse courses on
Python
Show steps
-
Identify Python libraries that are relevant to your interests or career goals.
-
Find tutorials or documentation for those libraries.
-
Follow the tutorials and implement examples in your own Python environment.
Solve OpenCV coding challenges
Show steps
Test your OpenCV skills by solving coding challenges to strengthen your understanding and identify areas for improvement.
Browse courses on
OpenCV
Show steps
-
Find a platform or website that offers OpenCV coding challenges
-
Select a challenge that aligns with your learning goals
-
Read the challenge description carefully
-
Develop and implement your solution
-
Review your solution and identify areas for improvement
Build a Simple Python Project
Show steps
Provides hands-on experience in applying Python skills to create a functional project, solidifying your understanding.
Browse courses on
Python
Show steps
-
Identify a simple project idea that aligns with the course topics.
-
Design and plan the project's structure and functionality.
-
Implement the project using Python.
-
Test and debug the project.
Create a video tutorial
Show steps
Use your newfound knowledge in OpenCV to create a video tutorial to solidify your knowledge and share it with others.
Browse courses on
OpenCV
Show steps
-
Plan and outline your tutorial
-
Record your screen and voice
-
Edit and produce your video
-
Upload your video to YouTube or other platform
Mentor Beginner Python Learners
Show steps
Reinforces your understanding of Python by explaining concepts to others and helping them overcome challenges.
Browse courses on
Python
Show steps
-
Identify opportunities to mentor beginner Python learners.
-
Provide guidance, support, and answer their questions.
-
Reflect on your own understanding while explaining concepts to others.
Mentor a beginner in OpenCV
Show steps
Reinforce your own understanding of OpenCV by mentoring a beginner and guiding them through their learning journey.
Browse courses on
OpenCV
Show steps
-
Find a beginner who is interested in learning OpenCV
-
Set regular meeting times
-
Share your knowledge and experience
-
Provide feedback and encouragement
-
Celebrate their progress and achievements
Review Python Fundamentals
Show steps
Refreshes your understanding of Python concepts and syntax to strengthen your foundation for the course.
Browse courses on
Python
Show steps
Show steps
Show steps
- Go through your notes from previous Python courses or tutorials.
- Complete online quizzes or practice exercises to test your understanding.
Join an OpenCV study group
Show steps
Enhance your learning through collaboration by joining an OpenCV study group and engage in discussions with fellow learners.
Browse courses on
OpenCV
Show steps
Show steps
Show steps
- Find an existing OpenCV study group or start your own
- Establish regular meeting times
- Discuss OpenCV concepts and share your experiences
- Work together on OpenCV projects
Solve Python Coding Challenges
Show steps
Enhances your problem-solving skills and applies Python concepts to practical scenarios.
Browse courses on
Python
Show steps
Show steps
Show steps
- Find coding challenges online or in books.
- Attempt to solve the challenges on your own.
- Review the solutions and learn from your mistakes.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Follow along with OpenCV tutorials
Show steps
Supplement your learning by following along with online tutorials to reinforce your understanding of OpenCV concepts.
Browse courses on
OpenCV
Show steps
Show steps
Show steps
- Find a reputable source for OpenCV tutorials
- Choose a tutorial that aligns with your learning goals
- Follow the instructions carefully
- Experiment with the code and modify it to fit your needs
Explore Advanced Python Libraries
Show steps
Expands your knowledge of Python libraries to enhance your skills in specific areas, such as data analysis or machine learning.
Browse courses on
Python
Show steps
Show steps
Show steps
- Identify Python libraries that are relevant to your interests or career goals.
- Find tutorials or documentation for those libraries.
- Follow the tutorials and implement examples in your own Python environment.
Solve OpenCV coding challenges
Show steps
Test your OpenCV skills by solving coding challenges to strengthen your understanding and identify areas for improvement.
Browse courses on
OpenCV
Show steps
Show steps
Show steps
- Find a platform or website that offers OpenCV coding challenges
- Select a challenge that aligns with your learning goals
- Read the challenge description carefully
- Develop and implement your solution
- Review your solution and identify areas for improvement
Build a Simple Python Project
Show steps
Provides hands-on experience in applying Python skills to create a functional project, solidifying your understanding.
Browse courses on
Python
Show steps
Show steps
Show steps
- Identify a simple project idea that aligns with the course topics.
- Design and plan the project's structure and functionality.
- Implement the project using Python.
- Test and debug the project.
Create a video tutorial
Show steps
Use your newfound knowledge in OpenCV to create a video tutorial to solidify your knowledge and share it with others.
Browse courses on
OpenCV
Show steps
Show steps
Show steps
- Plan and outline your tutorial
- Record your screen and voice
- Edit and produce your video
- Upload your video to YouTube or other platform
Mentor Beginner Python Learners
Show steps
Reinforces your understanding of Python by explaining concepts to others and helping them overcome challenges.
Browse courses on
Python
Show steps
Show steps
Show steps
- Identify opportunities to mentor beginner Python learners.
- Provide guidance, support, and answer their questions.
- Reflect on your own understanding while explaining concepts to others.
Mentor a beginner in OpenCV
Show steps
Reinforce your own understanding of OpenCV by mentoring a beginner and guiding them through their learning journey.
Browse courses on
OpenCV
Show steps
Show steps
Show steps
- Find a beginner who is interested in learning OpenCV
- Set regular meeting times
- Share your knowledge and experience
- Provide feedback and encouragement
- Celebrate their progress and achievements
Career center
Learners who complete Video Basics with OpenCV and Python will develop knowledge and skills
that may be useful to these careers:
Software Engineer
Software Engineer
Video Basics with OpenCV and Python is a perfect fit for aspiring Software Engineers who wish to enhance their skills in computer vision and image processing. This course provides a solid foundation in OpenCV, a popular Python library for computer vision, and teaches you how to use it for tasks such as capturing video, performing image manipulations, and detecting faces. By mastering these techniques, you can develop specialized software applications for image analysis and processing, unlocking opportunities in various industries such as computer vision, robotics, and self-driving cars.
Data Scientist
Data Scientist
This Video Basics with OpenCV and Python course can be a valuable addition to your skillset as a Data Scientist. By gaining proficiency in OpenCV, you can analyze and process large volumes of visual data, which is becoming increasingly important in data science. This course specifically covers tasks such as face detection, which can be applied to analyze facial expressions and emotions from video data. With this specialized knowledge, you can contribute to groundbreaking research and applications in areas like sentiment analysis, emotion recognition, and personalized recommendations.
Computer Vision Engineer
Computer Vision Engineer
Video Basics with OpenCV and Python is an excellent choice for students or professionals aiming to become Computer Vision Engineers. This course delves deep into OpenCV, a key tool in the computer vision field, and teaches you how to apply it to real-world problems. You will learn techniques for capturing, manipulating, and analyzing video data, enabling you to develop computer vision solutions for various applications, such as object detection and recognition, image segmentation, and autonomous navigation.
Machine Learning Engineer
Machine Learning Engineer
This Video Basics with OpenCV and Python course can help aspiring Machine Learning Engineers gain a valuable skillset for working with visual data. OpenCV is widely used for image and video processing, which is often a crucial step in machine learning pipelines. By mastering OpenCV, you can enhance your ability to prepare, process, and analyze visual data, enabling you to build and deploy more robust and accurate machine learning models.
Robotics Engineer
Robotics Engineer
Video Basics with OpenCV and Python can provide Robotics Engineers with a strong foundation in computer vision, a vital technology for robotics. This course teaches you how to use OpenCV to capture and process video data, enabling you to develop vision-based systems for various robotic applications. By understanding how to perform tasks like object detection, tracking, and obstacle avoidance using OpenCV, you can contribute to the creation of more intelligent and autonomous robots.
Data Analyst
Data Analyst
Video Basics with OpenCV and Python may be useful for Data Analysts who wish to expand their skillset in visual data analysis. This course introduces OpenCV, a library specifically designed for computer vision tasks, and teaches you how to apply it to video data. By gaining proficiency in OpenCV, you can analyze and extract valuable insights from visual data, such as identifying trends, patterns, and anomalies, which can enhance your overall data analysis capabilities.
Web Developer
Web Developer
Video Basics with OpenCV and Python may be helpful for Web Developers looking to add interactive and engaging video features to their web applications. This course provides a foundation in OpenCV, a library widely used for computer vision tasks, including video processing. By mastering OpenCV, you can implement features such as video capture, manipulation, and analysis, enabling you to create visually appealing and user-friendly web applications.
Game Developer
Game Developer
Video Basics with OpenCV and Python may be useful for Game Developers seeking to enhance their skills in computer vision for game development. This course teaches you how to use OpenCV to process and analyze video data, which is crucial for tasks such as object tracking, motion detection, and augmented reality. By mastering OpenCV, you can create more immersive and interactive gaming experiences that leverage computer vision technology.
Security Analyst
Security Analyst
Video Basics with OpenCV and Python may be helpful for Security Analysts looking to enhance their skills in video surveillance and analysis. This course provides a foundation in OpenCV, a library widely used for computer vision tasks, including video processing. By mastering OpenCV, you can develop and implement video analysis systems for security purposes, enabling you to detect suspicious activities, identify objects and individuals, and monitor surveillance footage more effectively.
Quantitative Analyst
Quantitative Analyst
Video Basics with OpenCV and Python may be useful for Quantitative Analysts who wish to explore the application of computer vision in financial analysis. This course provides a foundation in OpenCV, a library specifically designed for computer vision tasks, and teaches you how to apply it to video data. By gaining proficiency in OpenCV, you can analyze and extract valuable insights from visual financial data, such as identifying trends, patterns, and anomalies, which can enhance your analytical capabilities.
Product Manager
Product Manager
Video Basics with OpenCV and Python may be useful for Product Managers who wish to gain a better understanding of computer vision and its potential applications for product development. This course provides a foundation in OpenCV, a widely used library for computer vision, and teaches you how to apply it to video data. By mastering OpenCV, you can evaluate and integrate computer vision technologies into your products, enabling you to create more innovative and user-centric solutions.
UX Designer
UX Designer
Video Basics with OpenCV and Python may be useful for UX Designers looking to incorporate computer vision into their designs. This course provides a foundation in OpenCV, a library widely used for computer vision tasks, and teaches you how to apply it to video data. By understanding the capabilities of OpenCV, you can design user experiences that leverage computer vision technologies, such as facial recognition, gesture control, and augmented reality.
Marketing Analyst
Marketing Analyst
Video Basics with OpenCV and Python may be useful for Marketing Analysts who wish to analyze and interpret visual data for marketing purposes. This course provides a foundation in OpenCV, a widely used library for computer vision, and teaches you how to apply it to video data. By mastering OpenCV, you can extract valuable insights from visual marketing materials, such as analyzing customer behavior, tracking brand engagement, and identifying trends, which can enhance your marketing campaigns.
Technical Writer
Technical Writer
Video Basics with OpenCV and Python may be useful for Technical Writers who need to explain computer vision concepts and applications in their documentation. This course provides a foundation in OpenCV, a widely used library for computer vision, and teaches you how to apply it to video data. By mastering OpenCV, you can gain a deeper understanding of computer vision technology and its applications, enabling you to create more accurate and informative technical documentation.
Sales Engineer
Sales Engineer
Video Basics with OpenCV and Python may be useful for Sales Engineers who sell products or services related to computer vision. This course provides a foundation in OpenCV, a widely used library for computer vision, and teaches you how to apply it to video data. By mastering OpenCV, you can gain a deeper understanding of the technology and its applications, enabling you to better communicate its benefits and value to potential customers.
For more career information including salaries, visit:
OpenCourser.com/course/mhrkdn/video
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
Video Basics with OpenCV and Python.
Focuses on computer vision with Python, providing a solid foundation in the fundamentals of image processing and computer vision algorithms. It would be helpful for learners who want to gain a deeper understanding of the computer vision concepts used in the course, such as image segmentation and object detection.
Provides a comprehensive introduction to Python for data analysis, covering topics such as data cleaning, manipulation, and visualization. It would be a valuable resource for learners who want to gain a strong foundation in Python and its data analysis capabilities, which are essential for many applications in computer vision and image processing.
Provides a comprehensive introduction to machine learning with Python, covering topics such as supervised and unsupervised learning, model evaluation, and feature engineering. It would be helpful for learners who want to gain a deeper understanding of the machine learning concepts used in the course, such as face detection and object recognition.
Provides a comprehensive introduction to deep learning with Python, covering topics such as neural networks, convolutional neural networks, and recurrent neural networks. It would be a valuable resource for learners who want to gain a deeper understanding of the deep learning concepts used in the course, such as face detection and object recognition.
Save
Provides a comprehensive overview of computer vision algorithms and applications, covering topics such as image processing, feature extraction, and object recognition. It would be a valuable reference for learners who want to gain a deeper understanding of the theoretical foundations of computer vision.
Provides a comprehensive introduction to digital image processing, covering topics such as image enhancement, image segmentation, and image compression. It would be a valuable resource for learners who want to gain a deeper understanding of the image processing techniques used in the course, such as image filtering and image analysis.
Provides a quick and easy introduction to Python, covering topics such as data types, control flow, and functions. It would be a valuable resource for learners who are new to Python and want to quickly get up to speed with the basics.
Save
Provides a collection of hands-on computer vision projects using OpenCV and Python. It would be a valuable resource for learners who want to gain practical experience with OpenCV and apply it to real-world problems.
Provides a comprehensive overview of machine learning with Python, covering topics such as supervised and unsupervised learning, model evaluation, and feature engineering. It would be a valuable reference for learners who want to gain a deeper understanding of the machine learning concepts used in the course.
Provides a comprehensive overview of deep learning for computer vision, covering topics such as neural networks, convolutional neural networks, and recurrent neural networks. It would be a valuable reference for learners who want to gain a deeper understanding of the deep learning concepts used in the course.
Provides a collection of blueprints for OpenCV with Python, covering topics such as image processing, feature extraction, and object recognition. It would be a valuable reference for learners who want to gain practical experience with OpenCV and apply it to real-world problems.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/mhrkdn/video
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Time
2 hours
Via
Coursera
Institutions
Rhyme
Coursera Project Network
Instructor
Ilias Papachristos
Good to know
Develops working knowledge in Computer Vision
Provides hands-on experience with Python, Jupyter, and Tensorflow
Teaches skills highly relevant to industry
Suitable for learners with fundamental knowledge in Python
Access to cloud desktop is limited to 5 times
Currently, the course is optimized for learners in North America
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