| # yoloEYE | |
| ## Description | |
| This project utilizes YOLO (You Only Look Once) models for object detection tasks. It provides a user-friendly interface built with Streamlit, allowing users to easily upload images or video streams to see object detections in real-time. The application supports various YOLO models, including YOLOv8, YOLOv9, and YOLOv10; offering flexibility and accuracy in detecting objects across different scenarios. | |
| ## Getting Started | |
| These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. | |
| ### Prerequisites | |
| What things you need to install the software and how to install them. | |
| ```bash | |
| pip install -r requirements.txt | |
| ``` | |
| ### Installing | |
| A step by step series of examples that tell you how to get a development environment running | |
| Say what the code already does and you don’t need to do a thing like this. | |
| ```bash | |
| cd your_project_directory | |
| pip install -r requirements.txt | |
| ``` | |
| And repeat | |
| ```bash | |
| streamlit run app.py | |
| ``` | |
| End with an example of getting some data regarding the system. It may be a good idea to describe the table structure. | |
| ## Running the Tests | |
| Explain how to run the automated tests for this system | |
| ```bash | |
| pytest | |
| ``` | |
| Break down into end to end. | |
| ## Deployment | |
| Add additional notes about how to deploy this on a live system | |
| ## Built With | |
| * [Python](https://www.python.org/) - Programming Language | |
| * [Streamlit](https://streamlit.io/) - Framework for Building Machine Learning and Data Science Web Apps | |
| * [Ultralytics](https://github.com/ultralytics/yolov5) - Implementation of YOLO Models | |
| ## Contributing | |
| 1. Fork the Project | |
| 2. Create your Feature Branch (`git checkout -b feature/fooBar`) | |
| 3. Commit your Changes (`git commit -m 'Add some fooBar'`) | |
| 4. Push to the Branch (`git push origin feature/fooBar`) | |
| 5. Open a Pull Request | |