Body Pose Detection Using Mediapipe And Opencv

Combine the power of openCV and mediapipe to do body pose detection.

What you'll learn

learn how to do image manipulation

how internals of opencv work to aid us with webcam access and image manipulation

use mediapipe and understand how body pose detection works

use mediapipe to count body movement like hand movement

count number of exercised done using mediapipe like lunges, squats

extract body pose and display it in a blank image

Requirements

basics programming

basics python

knowledge to set up anaconda or any python IDE or editor

Description

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 detectionDevelopers 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.

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: basics of openCV

Lecture 2 openCV: basics image manipulation

Lecture 3 openCV: access webcam using openCV and display the frames

Section 3: Pose Detection

Lecture 4 Hand Tracking

Lecture 5 pose detection on static image

Lecture 6 pose detection on live video from webcam

Lecture 7 Drawing Landmark points on detected pose

Section 4: Exercise counter

Lecture 8 Exercise counter: how we are building

Lecture 9 Exercise counter: identifying landmark points

Lecture 10 Exercise Counter-Calculating arm angle

Lecture 11 Exercise Counter-Counting movement

Section 5: extract pose from local video and display it in a blank image

Lecture 12 pose detection on local video

Lecture 13 display extracted pose on blank image

This course is designed for students, developers, engineers, and anyone passionate about computer vision. Whether you're a beginner looking to break into the field or a seasoned professional wanting to expand your knowledge, this course caters to all levels.,Master the latest tools used by professionals worldwide. MediaPipe and OpenCV are at the forefront of computer vision technology.,Beginner python programmers looking to learn openCV and mediapipe,Curious IT professional looking to learn image manipulation and pose detection