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 My 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
python3 -m venv venv
to create a virtual environment named venv. - Run
source 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
time python social_distance_detector.py --input pedestrians.mp4 --output output.avi --display 1
to run your social distance detection project
After you run the last line of command,a window eill pop up and after execution of the file a output.avi
file will be showing up in your directory like this:
You can find my google colab file here. Social distance detector colab
- Created by:Abdullah Shoumik
- Email:abd.shoumik@gmail.com
- Youtube:TheLazyCoder
- LinkedIn: Abdullah Shoumik