How to Use the Coral USB Accelerator with the Raspberry Pi - Increase TensorFlow Lite FPS!

Video Description

Want to achieve blazing fast detection speeds (30+ FPS) with your TensorFlow Lite models on the Raspberry Pi? This video shows how to set up Google's Coral USB Accelerator with the Raspberry Pi to run TFLite object detection models on videos or real-time webcam feeds. It works for the Pi 3B+ and the Pi 4. Have questions? Ask me on Twitter @EdjeElectronics ! I usually respond faster there: https://twitter.com/EdjeElectronics -- Affiliate Links -- Get a Rasbperry Pi 4: https://amzn.to/2Kf0el8 Coral USB Accelerator from Google: https://amzn.to/2wxTZ8d Coral USB Accelerator from seeed studio (sometimes less expensive): https://amzn.to/3bBVY9Z Webcam used in this video (works better than the Picamera!): https://amzn.to/2MMBTU3 ---- Commands used in video ---- echo "deb https://packages.cloud.google.com/apt coral-edgetpu-stable main" | sudo tee /etc/apt/sources.list.d/coral-edgetpu.list curl packages.cloud.google.com/apt/doc/apt-key.gpg | sudo apt-key add - wget dl.google.com/coral/canned_models/mobilenet_ssd_v2_coco_quant_postprocess_edgetpu.tflite -- Tutorial Links -- Previous TensorFlow Lite video: https://youtu.be/aimSGOAUI8Y Written version of this guide: https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi/blob/master/Raspberry_Pi_Guide.md Guide for training your own TFLite model: https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi Performance comparison between Pi 3B+ and Pi 4 4GB: https://youtu.be/TiOKvOrYNII -- Music credit -- chill. by sakura Hz https://sakurahertz.bandcamp.com/track/chill Creative Commons — Attribution 3.0 Unported — CC BY 3.0