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https://github.com/al-chris/opencv-object-detection-kivy
https://github.com/al-chris/opencv-object-detection-kivy
Last synced: 12 days ago
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- Host: GitHub
- URL: https://github.com/al-chris/opencv-object-detection-kivy
- Owner: al-chris
- Created: 2024-12-31T18:24:27.000Z (about 1 month ago)
- Default Branch: main
- Last Pushed: 2024-12-31T18:33:55.000Z (about 1 month ago)
- Last Synced: 2024-12-31T19:27:54.814Z (about 1 month ago)
- Language: Python
- Size: 56.6 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# OpenCV object detection in kivy
This repository showcases a series of projects developed using OpenCV, focusing on image processing, real-time object detection, and deploying an Android application with Kivy for real-time object detection.
It began with experimenting with image processing techniques using OpenCV, progressed to implementing real-time object detection, and culminated in developing a single-file Kivy application for performing real-time object detection on Android devices.
## Project Overview
1. **Image Processing with OpenCV**:
- Explored fundamental image processing techniques, including image filtering, edge detection, and color space transformations.
2. **Real-Time Object Detection**:
- Implemented object detection algorithms capable of identifying and classifying objects in live video streams.
3. **Kivy Application for Android**:
- Developed a single-file Kivy application to perform real-time object detection on Android devices, integrating OpenCV with Kivy for mobile deployment.
## Repository Structure
```
OpenCV/
├── assets/ # Directory containing image and video assets
├── app.py # Kivy application script for Android deployment
├── main.py # Script for real-time object detection
├── image_processing.py # Script demonstrating basic image processing techniques
├── requirements.txt # List of required Python packages
└── README.md # Project documentation
```
## Getting Started
To explore and run these projects:
1. **Clone the repository**:
```bash
git clone https://github.com/al-chris/OpenCV.git
cd OpenCV
```
2. **Set up a virtual environment** (optional but recommended):
```bash
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
```
3. **Install the required packages**:
```bash
pip install -r requirements.txt
```
4. **Run the scripts**:
- For image processing demonstrations:
```bash
python image_processing.py
```
- For real-time object detection:
```bash
python main.py
```
- To deploy the Kivy application on Android, follow the instructions provided in `app.py`.
## Prerequisites
- **Python 3.7 or higher**
- **OpenCV**: Ensure that OpenCV is installed in your environment.
- **Kivy**: Required for developing and running the Android application.
## Contributing
Contributions are welcome. Feel free to open issues or submit pull requests to enhance the functionality or add new features.
## License
This project is licensed under the MIT License. See the `LICENSE` file for details.
## Acknowledgments
- [OpenCV](https://opencv.org/): Open Source Computer Vision Library
- [Kivy](https://kivy.org/): Open source Python library for rapid development of applications
For any questions or suggestions, please contact [Christopher Aliu](https://github.com/al-chris).