Tutorial Link

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 cd tflite1 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 tflite1-env to create an enviroment called tflite1-env
9. Start that enviroment by typing source tflite1-env/bin/activate
10. Download additional requirements but typing bash get_pi_requirements.sh
11. Run the detection program by typing python3 TFLite_detecton_webcam.py --modeldir=Sample_TFLite_model
12. You can quit the program by typing q when it's running

1. Open terminal and type cd Desktop/tflite1
2. Run the virtual enviroment by typing source tflite1-env/bin/activate
3. Run the program by typing python3 TFLite_detection_webcam.py --modeldir=Sample_TFLite_model

Last updated: March 22, 2021