Satya Mallick, PhD. – OpenCV For Beginners

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Satya Mallick, PhD. – OpenCV For Beginners

Have you ever wondered how Instagram filters work?

Or, how computers perform face detection in crowds?

Are you curious how virtual meeting applications blur the background or replace the background with other images?

How do self-driving cars navigate safely in a busy city environment?

Also, isn’t it amazing how the ball is tracked with such accuracy in televised sporting events such as Tennis, Soccer, and Basketball?

If we’ve piqued your curiosity then this course is what you need. Show your support by backing us right away and learn about topics in Computer Vision such as Object Tracking, Augmented Reality, Face Detection, Optical Flow, Human Pose Estimation and many more.

Unlike many Computer Vision courses available online, this hands-on course approaches Computer Vision more practically, experientially and intuitively. All you need is a working knowledge of the Python programming language. And, if you are not confident about your Python skills, we will direct you to some of the best-curated resources on Python, so that you come up to speed with Python in the shortest possible time.

In short, beginners, coding enthusiasts, start-up owners, Tony Stark fans – everyone is welcome to this introductory course.

OpenCV is the largest and the most popular Computer Vision library in the world. It is utilized by thousands of companies, products and devices, and is tested for scalability and performance every single day.

We, at OpenCV.org, are on a mission to educate a global workforce. We have been offering very comprehensive online courses in Computer Vision to professionals, job-seekers and enthusiasts from over 100 countries.

After the success of our first Kickstarter campaign in 2019, AI Courses By OpenCV.org, we want to make the practical knowledge of Computer Vision available to anyone who is interested in entering the world of Computer Vision.

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