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🤖 MoveNet-Multipose-Detection-OpenCV - Estimate Human Poses in Real-Time

🚀 Getting Started

Welcome to MoveNet-Multipose-Detection-OpenCV! This application enables you to estimate human poses in real-time using your webcam or video files. It detects keypoints and visualizes the skeletal connections of multiple people at once.

🛠️ System Requirements

Before you get started, ensure you meet the following requirements:

Operating System: Windows, macOS, or Linux
Python Version: 3.7 or higher
OpenCV: Version 4.5 or higher
TensorFlow: Compatible version installed

📥 Download & Install

To download the application, please visit this page:

Download here

Follow these steps to download and install MoveNet-Multipose-Detection-OpenCV:

Click on the download link above.
On the releases page, find the latest version of the software.
Download the appropriate file for your operating system.
After the download completes, locate the file in your downloads folder.

⚙️ Running the Application

Once you have installed the application, follow these steps to run it:

Open a terminal or command prompt.
- For Windows: Press Win + R, type cmd, and hit Enter.
- For macOS: Open Terminal from your Applications folder.
- For Linux: Open your preferred terminal application.
Navigate to the folder where you downloaded the software. Use the following command:
```
cd path/to/downloaded/folder
```
Replace path/to/downloaded/folder with the actual path of your folder.
Run the following command to start the application:
```
python main.py
```
If using a webcam, allow the application to access your camera when prompted.
Enjoy real-time human pose estimation!

📋 Features

Multi-person Tracking: Detects and tracks multiple people in real-time.
Keypoint Detection: Identifies important joints and keypoints of the human body.
Real-Time Visualization: Displays skeletal connections and keypoints on the video feed.
Optimized for Speed: Fast performance suitable for various applications.

🔑 Troubleshooting

If you face any issues, check the following:

Ensure you have the required Python version.
Confirm that your camera is working properly.
Install the necessary libraries using:
```
 pip install -r requirements.txt
```

If issues persist, check the issues page on GitHub for solutions.

📞 Support

For further assistance, please reach out through the GitHub issues page. Our community will be glad to help you.

🎯 Contributing

We welcome contributions! If you wish to contribute, please fork the repository and submit a pull request with your changes.

📜 License

This project is licensed under the MIT License. For more details, please check the LICENSE file in the repository.

🌟 Acknowledgments

Special thanks to the TensorFlow community for their amazing work on the MoveNet model and OpenCV for their powerful computer vision library.