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Social distance detection , a deep learning computer vision project with yolo object detection

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abd-shoumik/Social-distance-detection

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Social-distance-detection

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

For CPU:

To run this code in your terminal:

  • *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:

Output avi gif

For GPU:

You can find my google colab file here. Social distance detector colab

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