
Introduction of what we will be learning in the course.
basics image manipulation
access webcam using openCV
hand tracking mediapipe and openCV
pose detection on static image
pose detection on live video
drawing landmark points after pose detection
how we are building our exercise counter.
identifying only interested landmark points.
calculate arm angle to enable exercise counter.
counting the arm movement.
pose detection on local video
extract pose and display it on a blank image
Are you interested in the exciting fields of computer vision, image processing, and real-time video analysis? This course is your gateway to understanding the fundamentals of two powerful and widely used libraries, MediaPipe and OpenCV. Whether you're a student looking to bolster your skillset or an IT professional aiming to enhance your knowledge, this course is designed to provide a comprehensive introduction to these essential tools.
we will be extracting body pose from a live webcam as well as local stored video. Along with mediapipe we will also be learning basics of mediapipe.
intended audience:-
Students interested in computer vision and image manipulation and body pose detection.
IT professionals looking to expand their knowledge in real-time video analysis and body pose detection
Developers and engineers seeking to work on projects involving image and video processing.
Anyone curious about the exciting possibilities of computer vision and real-time applications.
Prepare to embark on an exciting journey into the world of computer vision, image processing, and real-time video analysis. This course will equip you with the knowledge and skills needed to tackle real-world challenges and innovate in a variety of fields. Join us and become proficient in MediaPipe and OpenCV to unlock new opportunities in the digital age.