A social distancing detector built with OpenCV using YOLO(COCO model) object detector

Social distancing is a method used to control the spread of contagious diseases such as the COVID-19 Disease. It implies that people physically distance themselves from one another, reducing close contact, and thereby reducing the spread.

• Object detection using the YOLO COCO model to detect only people in a video stream.
• Computes the pairwise distances between all detected people.
• Based on the computed distances, we determine whether social distancing rule is being violated or not.

1. Clone the repo

    git clone https://github.com/MuntahaShams/social-distance-detector.git
    cd social-distance-detector

2. Install dependencies

    pip install -r requirements.txt

3. Run the social-distance-detector.ipynb

• YOLO COCO weights
  The weight file exceeds the github limits but can be download from here.
  Add the weight file to the weight folder.