https://github.com/suriyaavijay/posture-recognition-using-opencv-and-mediapipe

Posture correction using computer vision and Mediapipe library enables the detection and correction of poor posture in images and live videos, promoting a healthier lifestyle in the digital era.
https://github.com/suriyaavijay/posture-recognition-using-opencv-and-mediapipe

computer-vision digital-wellbeing ipynb jupyter-notebook mediapipe opencv posture-advisor posture-recognition python

Last synced: about 1 month ago
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Posture correction using computer vision and Mediapipe library enables the detection and correction of poor posture in images and live videos, promoting a healthier lifestyle in the digital era.

• Host: GitHub
• URL: https://github.com/suriyaavijay/posture-recognition-using-opencv-and-mediapipe
• Owner: SuriyaaVijay
• License: mit
• Created: 2023-01-23T16:23:28.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-04-07T14:36:26.000Z (7 months ago)
• Last Synced: 2024-09-27T23:40:57.932Z (about 2 months ago)
• Topics: computer-vision, digital-wellbeing, ipynb, jupyter-notebook, mediapipe, opencv, posture-advisor, posture-recognition, python
• Homepage:
• Size: 12.9 MB
• Stars: 5
• Watchers: 3
• Forks: 2
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Posture-Recognition

## Mail to : [email protected] for Full Project Report and Full Project Code. This does not have the code files !

## OpenCV and Mediapipe based good and bad posture Recognition

### Kindly Star this Repository ⚡

Posture correction is an important aspect of maintaining a healthy lifestyle, especially in today's digital age where people spend a significant amount of time in front of screens. Computer vision techniques, combined with the powerful Mediapipe library from Google, offer a promising solution for detecting and correcting poor posture in both images and live videos.

## Screenshots

MediaPipe Architecture 

:-------------------:

![MP - screenshot](/MediaPipe.png)

Good Posture

![GP - screenshot](/Good_Posture.png)

Bad Posture 

![BP - screenshot](/Bad_Posture.png)

### Mediapipe Library

Mediapipe is a powerful computer vision and deep learning framework developed by Google. It provides a collection of pre-built, customizable models and tools for building applications that process images and videos. The library offers a wide range of functionalities, including face detection, hand tracking, pose estimation, and more.

### Usage

- Download the .ipynb file

- Open it using Google Colab or Jupyter Notebook

- Add a "/content/images" folder with ur selfie images facing the computer

- Run the Code Blocks

### Pre-Requisites

- Python

- Mediapipe

- OpenCV

- ipynb notebooks