Table of Contents
This project leverages YOLO (You Only Look Once) for real-time object detection and tracking in video streams, enhancing analytical capabilities through automated monitoring and statistical reporting.
- Object Detection & Tracking: Utilizes YOLO to detect and track objects in video footage with high accuracy.
- Crossing Detection: Automatically counts objects crossing a predefined line within the frame.
- Customizable Settings:
- Configure the tracking line position (top, middle, bottom).
- Define tracking direction (IN, OUT, or BOTH).
- Select specific object classes for monitoring.
- Processed Video Output: Generates and saves processed video files with overlaid tracking data and object counts.
- Logging & Statistics: Maintains detailed records and statistical insights on tracked objects for further analysis.
Install the module with pip:
pip install yotraco
Update existing installation: pip install yotraco --upgrade
(update as often as possible because this library is under active development)
To test yotraco you can try this simple example with your video:
from YOTRACO import Yotraco
model = Yotraco("yolo11l.pt", # the path to the yolo.pt
"your_video_path.mp4", # the path to your video
"output", # the name of the output
"middle", # the line postion (by default : middle)
"BOTH", # the track direction (by default : Both )
classes_to_track=[0,1,2,3,4], # the class id to track
display=True # display the counts in the output video
)
model.process_video()Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request
Distributed under the MIT license. See LICENSE for more information.
Yotraco Team - nereuscode@gmail.com
Special thanks to the following resources and contributors who helped make this project possible:
- Ultralytics YOLO for their amazing object detection framework.
- Mouad Hida for designing the project logo and enhancing the visual identity of this project.
- All contributors who provided invaluable feedback and improvements.
- The open-source community for continuous inspiration.