YOGA POSTURE DETECTION WITH MEDIAPIPE

GOAL OF PROJECT : THE GOAL OF THE YOGA POSE RECOGNITION PROJECT IS TO DEVELOP A ROBUST AND ACCURATE SYSTEM CAPABLE OF IDENTIFYING AND CLASSIFYING DIFFERENT YOGA POSES IN REAL-TIME USING MEDIAPIPE'S POSE ESTIMATION CAPABILITIES.

TASK: RECOGNITION

DATASET SUMMARY:

This dataset is all about computer vision tasks in the new method media pipe approach.

Link:https://www.kaggle.com/datasets/venkatkumar001/yoga-3pose-estimation

PROJECT IS DEVICE INTO CERTAIN STEPS::

1.Install the MediaPipe package and OpenCV

2.Import Necessary Library

3.Initialize the Mp,Pose

4.Read Image and Identify Keypoint of human body

5.Pose Estimate the input image

6.Function in detect and recognition pose in keypoint using Mediapipe

7.Output_Prediction

MediaPipe Package Initialze

Pose Estimation

DetectPose and Recognition

Calculate_Angle_Keypoints

The calculated angle is 166.26373169437744

Class_Pose: T-pose, Tree-pose, Warrior-Pose, Unknown

Recognition_Pose