ChenMalobani/social-distancing-monitoring

this repo acts as open source python implementation to the demo porposed by landingAI

System Architecture

How to use the repo

1.clone the repo

2. Install dependencies (reccommended in virtual environment)

virtualenv -p python3 venv
source venv/bin/activate
pip install -r requirements.txt

3.download YOLOV3 pretrained weights and architecture

mkdir yolo_weights
cd yolo_weights
wget https://pjreddie.com/media/files/yolov3.weights
wget https://raw.githubusercontent.com/pjreddie/darknet/master/cfg/yolov3.cfg
wget https://raw.githubusercontent.com/pjreddie/darknet/master/data/coco.names

4.run the code

python main.py --video 'video path'

check sample result of the implementation

Citation

test video taken from http://www.robots.ox.ac.uk/ActiveVision/Research/Projects/2009bbenfold_headpose/Datasets/TownCentreXVID.avi

@article{yolov3, 
  title={YOLOv3: An Incremental Improvement}, 
  author={Redmon, Joseph and Farhadi, Ali}, 
  journal = {arXiv}, 
  year={2018}
}