📝 Crowd-Counter 🚀

Welcome to the Crowd Counter program! This Python application utilises the p2pnet model to calculate the number of people in a crowd based on an input image. The program marks each and every entity in the crowd with a point and provides the total count of individuals as the program output. 🙆‍♂️🙆‍♀️

🛠️ Setup

To set up the Crowd Counter program, follow these steps:

1. Clone the repository to your local machine. 💻
2. Install the required dependencies using pip install -r requirements.txt. 📦
3. Make sure you have the p2pnet model files available in the correct directory. 🗂️
4. Run the program using python flask_app.py. 🏃‍♂️💨

🖼️ Input Image

Ensure you provide a clear image of the crowd as input. The program will process the image and identify each person present. 📸👥

⚙️ Output

The output generated by the Crowd Counter program will be an annotated image that marks each entity in the crowd with a point. Additionally, it will display the total number of people detected in the crowd. 🖊️✨

🚀 Usage

1. Run the program using the setup instructions mentioned above. 🏃‍♂️💨
2. Provide the input image when prompted. 📸
3. Wait for the program to process the image and generate the output. ⌛️
4. Once completed, the annotated image will be displayed, showing each individual marked with a point, and the total count will be shown as output. 🎉

🙌 Contributions

Contributions to the Crowd Counter program are welcome! If you have any improvements, bug fixes, or new features to suggest, feel free to open a pull request. 🤝👩‍💻👨‍💻

❗ Important Note

Please note that the accuracy of the crowd counting may vary depending on the input image quality, lighting conditions, and other factors. The program provides an estimation and may not be 100% accurate in all scenarios. 👀❓

Happy crowd counting! If you have any questions or need assistance, feel free to reach out. 🤗🎉