Published 10/2023
Created by Sunny Kumar
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 13 Lectures ( 1h 20m ) | Size: 746 MB
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.
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