ObjecTrackion is a versatile object recognition and tracking project that can analyze any video feed displayed on the main screen, including movies, TV shows, games, or city cameras. The project leverages state-of-the-art object detection techniques to provide seamless and customizable object recognition capabilities. 🔍
ObjeTrackion_part1.mp4
ObjeTrackion_part2.mp4
- Universal Object Recognition: Perform object detection on any content displayed on the screen without restrictions. 📽
- Logging & Notifications: Automatically log detected objects and send notification messages based on recognition results. ✉️
- Customizable Settings: Adjust screen resolution, FPS, and other parameters for optimized performance. 🔄
- Highlighted Object Detection: Detected objects are displayed with bounding boxes on the screen for clear visibility. 🖥️
- Automated Logging: Recognized objects are logged and saved to a file automatically for future reference. 🗂️
- Smart Notifications: Send notifications based on specific object detection criteria to keep you informed in real time. 🔔
Before running the project, make sure you have the following dependencies installed:
pip install -r requirements.txtThe requirements.txt includes:
- TensorFlow
- Keras
- OpenCV
- NumPy
- Matplotlib
- Clone the repository:
git clone https://github.com/furkankarakuz/ObjecTrackion.git- Navigate to the project directory:
cd ObjecTrackion- Install dependencies:
pip install -r requirements.txtThis project includes a Desktop GUI built with PyQt5 for an interactive and user-friendly experience. To install the required dependency, run the following command:
pip install PyQt5With PyQt5 installed, you can enjoy an intuitive desktop interface for running and interacting with the object detection and tracking system
- ObjecTrackion uses the YOLO (You Only Look Once) algorithm for object detection.
- The objects recognized by the system are based on the COCO dataset.
- To customize the object names, you can modify the
coco.namesfile found in the project directory.
- person
- bicycle
- car
- motorcycle
- airplane
- bus
- train
- truck
- boat
- and more...
For a full list of object classes, refer to the COCO dataset class labels.
Start the application:
python main.pyContributions are welcome! Feel free to open an issue or submit a pull request to enhance ObjecTrackion.
This project is licensed under the MIT License. See the LICENSE file for more details.
✨ ObjecTrackion: Making object detection accessible and adaptable for any screen! ✨