Pedestrian Detection using yolov4 model

This project implements a pedestrian detection system using the YOLO model and OpenCV. The model is capable of detecting people in real-time using a webcam feed.

Requirements

• Python 3.6+
• OpenCV
• NumPy
• Torch

Setup

1. Clone the repository:

   git clone https://github.com/waijian1/PedestrianDetection.git
   

2. Install the required packages:

   pip install -r requirements.txt
   

Usage

1. Run the script:

   python pedestriandetection.py
   

2. The program will use your webcam to detect pedestrians in real-time.

Files

• pedestriandetection.ipynb: The Jupyter notebook containing the code.
• requirements.txt: List of required Python packages.
• .gitignore: Specifies files to ignore in the repository.

License

This project is licensed under the MIT License.