Video and Optical Flow – Create a Smart Speed Camera
This title is part of the Python Computer Vision Mini-Degree
In this course we’ll build an app that tracks object through video and can determine their speed. Our application will be able to capture point in our object and track their position in real-time. Speed reading will be shown on the video.
The big topics we’ll be covering is optical flow, which is what allow us to track points in video. We’ll cover camera intrinsics to understand more in depth how our camera works. We’ll visualize the speed and path using visual optical flow patterns. This course uses Python 3.
About the Python Computer Vision Mini-Degree
The Python Computer Vision Mini-Degree is an on-demand curriculum featuring 8 professional-grade courses that are suitable for beginners and more advanced developers alike. This innovative program will teach you how to code in Python, master the fundamentals of Numpy, and understand the core concepts underlying computer vision, including how images are represented and can be manipulated, pattern detection, and video and optical flow.
With such an understanding of these powerful technologies, you’ll be prepared to take on the world as a well-informed and highly prepared developer.
Basic to intermediate Python skills.
It is recommended to take this course as part of the Python Mini-Degree, which includes 12 courses on Python, Computer Vision, Machine Learning, Deep Learning and much more.
- Lifetime, 24/7 access
- Professional-grade video lessons
- Certificate of completion
- Closed captions