Wrong-Way-Detection

This project aims to detect vehicles traveling in the wrong direction using computer vision and machine learning techniques.

Project Structure

The repository contains the following key files and directories:

data/: Directory containing dataset files
model/: Directory for model-related files
number-plate-test/: Test scripts for number plate detection
wrong-way-vehicle-detection-yolov8/: YOLOv8 implementation for wrong-way vehicle detection
detect_wrong.py: Main script for wrong-way detection
export.py: Script to export the trained model
hubconf.py: PyTorch Hub configuration
main.py: Entry point of the application
requirements.txt: List of Python dependencies
speed.py: Script for vehicle speed estimation
test.py: Test script
tracker.py: Object tracking implementation
train.py: Script for training the model
val.py: Validation script
visualize.py: Visualization utilities
yolov5.pt: Pre-trained YOLOv5 weights file

Clone the repository:

git clone https://github.com/KrishGaur1354/Wrong-Way-Detection.git

To run the wrong-way detection:

python main.py

For training the model:

python train.py

Contributions are welcome! Please feel free to submit a Pull Request.

This project is licensed under the Unlicense License.