You can find the video with full expanation of algrithm & code here: (https://youtu.be/PTLZnE6W2tw)
Github usually doesn't support files larger than 25 Mb.You can find the yolo weights in google drive
- Download it & move to yolo-coco folder
- Open your terminal
- Change directory to where you have downloaded this code
- Install python3 if you have not, if installed already then it's ok!
- Run
pip install virtualenv
to install package - Run
python3 -m venv venv
to create a virtual environment named venv. - Run
venv/bin/activate
to activate your environment! - Write
pip install -r requirements.txt
to install the python dependencies related to this project like opencv,numpy,scipy etc. - Run the command
python social_distance_detector.py --input pedestrians.mp4 --output output.avi
to run your social distance detection project
After you run the last line of command,a window will pop up and after execution of the file a output.avi
file will be showing up in your directory like this:
- Created by:Rahul Raj Pandey
- Email:[email protected]
- LinkedIn: Rahul Raj Pandey