Raspberry Pi Object Detection Tutorial

Here's how you can make your Raspberry Pi perform real-time object detection. It's a fun project and I hope you enjoy. Leave a comment if you have any questions or future video requests. I may earn commission if you purchase from the links below: RASPBERRY PI 4: https://amzn.to/3BC4i9I ELECTRONICS COMPONENT STARTER KIT: https://amzn.to/3qB23xg USB 1080P WEBCAM: https://amzn.to/3Lq0OL7 0:00 Intro Tensorflow github repo: https://github.com/tensorflow/examples/tree/a9265a997d0410c431a292e3553646b3b655ea1f/lite/examples/image_classification/raspberry_pi Subscribe for more Raspberry Pi tutorials :) https://www.youtube.com/samwestbytech?sub_confirmation=1 0:43 Setup Raspberry Pi Here's my setup tutorial: https://youtu.be/9fEnvDgxwbI ssh into your Pi or open a terminal on your pi Update sudo apt-get update sudo apt-get upgrade -y python3 -V sudo -H python3 -m pip install virtualenv mkdir project cd project python3 -m virtualenv env source env/bin/activate 4:00 Install libraries python3 -m pip install "picamera[array]" python3 -m pip install tflite-runtime python3 import tflite_runtime tflite_runtime.__version__ # Both of the commands above should execute without errors quit() 5:25 Install the example code git clone https://github.com/tensorflow/examples --depth 1 sh setup.sh sudo apt-get install libatlas-base-dev NOTE: If the "git clone" command gives you trouble, you can manually download the examples folder here https://github.com/tensorflow/examples/archive/refs/heads/master.zip 6:50 Testing! python3 classify.py