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markdown PoseVista

PoseVista is a web application that provides pose recommendations based on user preferences and image analysis. Users can explore various poses and receive live suggestions through their webcam overlay.

Table of Contents

Features

  • Pose recommendations based on user preferences.
  • Webcam overlay for live pose suggestions.
  • User-friendly interface for easy navigation.

Getting Started

Prerequisites

Make sure you have the following installed:

  • Python 3.x
  • Flask (install via pip install Flask)

Installation

  1. Clone the repository:

bash git clone https://github.com/your-username/PoseVista.git cd PoseVista

  1. Install dependencies:

bash pip install -r requirements.txt

Usage

  1. Run the Flask application:

bash python app.py

  1. Open your web browser and go to http://localhost:5000/.

  2. Explore poses, log in, and experience live pose suggestions.

Contributing

If you'd like to contribute, please follow these steps:

  1. Fork the repository.
  2. Create a new branch (git checkout -b feature/your-feature-name).
  3. Commit your changes (git commit -m 'Add some feature').
  4. Push to the branch (git push origin feature/your-feature-name).
  5. Create a new pull request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

  • PoseNet for real-time pose estimation.
  • TensorFlow and Flask communities for their excellent tools and documentation.

Replace placeholders like your-username and update sections based on your project's specific details. This README provides a basic structure that you can expand upon as your project evolves.

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