This video course is a
practical guide for developers who want to get started with building
computer vision applications using Python 3. The video is divided into
six sections:
- The Fundamentals of Image Processing
- Applied Computer Vision
- Object detection
- Making Applications Smarter
- Extending your Capabilities using OpenCV
- Getting Hands on
Throughout this video
course, three image processing libraries: Pillow, Scikit-Image, and
OpenCV are used to implement different computer vision algorithms.
The course will help you
build Computer Vision applications that are capable of working in
real-world scenarios effectively. Some of the applications that we look
at in the course are Optical Character Recognition, Object Tracking and
building a Computer Vision as a Service platform that works over the
internet.
About the Author
Saurabh Kapur is a computer
science student at Indraprastha Institute of Information Technology,
Delhi. His interests are in computer vision, numerical analysis, and
algorithm design. He often spends time-solving competitive programming
questions. Saurabh also enjoys working on IoT applications and tinkering
with hardware. He likes to spend his free time playing or watching
cricket. He can be reached at [email protected].
