https://github.com/biswadeep-roy/cars-counter-using-yolov8

This repository contains Python code to count the number of cars, trucks, buses, and motorbikes in a video using YOLOv8 object detection. It also tracks the detected vehicles and displays the count in real-time.
https://github.com/biswadeep-roy/cars-counter-using-yolov8

cvzone opencv opencv-python python python3 ultralytics yolo yolov8

Last synced: 7 days ago
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This repository contains Python code to count the number of cars, trucks, buses, and motorbikes in a video using YOLOv8 object detection. It also tracks the detected vehicles and displays the count in real-time.

• Host: GitHub
• URL: https://github.com/biswadeep-roy/cars-counter-using-yolov8
• Owner: biswadeep-roy
• License: mit
• Created: 2023-10-08T19:59:27.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-12-24T15:50:22.000Z (11 months ago)
• Last Synced: 2023-12-24T19:07:45.099Z (11 months ago)
• Topics: cvzone, opencv, opencv-python, python, python3, ultralytics, yolo, yolov8
• Language: Python
• Homepage:
• Size: 8.88 MB
• Stars: 11
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Cars-Counter-using-YOLOv8

This repository contains Python code to count the number of cars, trucks, buses, and motorbikes in a video using YOLOv8 object detection. It also tracks the detected vehicles and displays the count in real-time.

Car Counter ![image](https://github.com/biswadeep-roy/Cars-Counter-using-YOLOv8/assets/74821633/1e28822d-7e84-4c1a-b736-a7d58b63f9c8)

Requirements

Before running the code, make sure you have the following Python modules installed:  

numpy

opencv-python

cvzone

ultralytics

sort

You can install these modules using pip with the following commands:

`pip install numpy opencv-python cvzone ultralytics

pip install git+https://github.com/abewley/sort.git

`

# Usage

Clone the repository:

`git clone https://github.com/biswadeep-roy/cars-counter-yolov8.git

`

Download the YOLOv8 weights file (e.g., yolov8l.pt) and place it in the root directory of the repository.

Create a mask image for region of interest (ROI) using a tool like Canva. Save the mask as mask.png and place it in the root directory of the repository.

Run the code:

`python Car_Counter.py

`

The code will open a video stream and display the vehicles detected in real-time. It will also count the number of vehicles that cross a predefined line in the video.

# Customization

You can modify the classNames list to include or exclude specific object classes for detection.

Adjust the confidence threshold (conf > 0.3) to control the detection sensitivity.

Modify the limits list to change the position of the counting line in the video.

# License

This project is licensed under the MIT License - see the LICENSE file for details..

 

# Acknowledgments

YOLOv8: Ultralytics YOLOv5 GitHub Repository

SORT (Simple Online and Realtime Tracking): SORT GitHub Repository