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https://github.com/thecoderpinar/super-heatmapper-project

A comprehensive video analysis and heatmap generation tool based on Ultralytics YOLOv8.
https://github.com/thecoderpinar/super-heatmapper-project

artificial-intelligence computer-vision image-processing machine-learning opencv programming python real-time-object-detection yolo

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A comprehensive video analysis and heatmap generation tool based on Ultralytics YOLOv8.

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README

          

# 🚀 Super Heatmapper Project

![Project Logo](logo.jpg)

## Overview

Super Heatmapper Project is not just another heatmap generator; it's your go-to comprehensive video analysis tool! Powered by Ultralytics YOLOv8, this project helps you unravel the mysteries hidden in your data with stunning visualizations.

## ✨ Features

- **Intuitive Data Visuals:** Transform intricate datasets into eye-catching visualizations for easy understanding.

- **Efficient Pattern Detection:** Quickly spot trends, clusters, and outliers with heatmap visualizations.

- **Spatial Intelligence:** Leverage spatial relationships for smarter decision-making in BI, environmental studies, and urban planning.

## 🚀 Getting Started

### Installation

Clone the repository and install the required dependencies:

```bash
pip install -r requirements.txt

```

### Usage

Run the main script to start video analysis and heatmap generation:

```bash
python main_script.py
```

# ⚙️ Configuration

- Heatmap Settings: Customize colormap, alpha value, and other heatmap parameters in the heatmap_settings.yaml file.

- Object Counting Region: Adjust the region for object counting in the main_script.py file.

# 🌈 Examples

# 🤝 Contributing

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

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

# 🙌 Acknowledgments
Hat tip to anyone whose code was used
Inspiration
etc.