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How to run program for COM495 on a Raspberry Pi

First install

  1. Open the terminal on the raspberry pi and type the command sudo apt-get update
  2. When finished, type sudo apt-get upgrade
  3. Check that the Camera option in the raspberry pi configuration menu is enabled
  4. Then, type cd Desktop to move to the Desktop folder
  5. Download this repo by typing git clone https://github.com/zackbeucler/Research495.git
  6. After the download finsihes, type mv Research495 clean_code && cd clean_code to move to the TensorFlow folder
  7. Then, type sudo pip3 install virtualenv to install virtual enviroments for Python3
  8. Next, create a virtual enviroment by typing python3 -m venv env to create an enviroment called tflite1-env
  9. Start that enviroment by typing source env/bin/activate
  10. Download additional requirements but typing bash get_pi_requirements.sh
  11. Run the detection program by typing python3 multi_wrks_detection_UI.py
  12. You can quit the program by typing q when it's running

After first install

  1. Open terminal and type cd Desktop/clean_code
  2. Run the virtual enviroment by typing source env/bin/activate
  3. Run the program by typing python3 multi_wrks_detection_UI.py

Git stuff

  1. Add all files git add .
  2. Commit files git commit -m "message here"
  3. push files git push origin main

File info

  • multi_wrks_detection_UI.py This file is for multiple workstations and has a UI to help setup
  • multi_wrks_detection.py This file is for multiple workstations with no UI
  • workstation.py contains the workstation class

Special Thanks

  • Prof. Tarimo
  • Prof. Lee
  • Evan Juras for the real-time detection code

Last updated: December 5, 2021