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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: / edjeelectronics
-- Affiliate Links --
Get a Rasbperry Pi 4: amzn.to/2Kf0el8
Coral USB Accelerator from Google: amzn.to/2wxTZ8d
Coral USB Accelerator from seeed studio (sometimes less expensive): amzn.to/3bBVY9Z
Webcam used in this video (works better than the Picamera!): amzn.to/2MMBTU3
--- Commands used in video ---
echo "deb 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:
• How To Run TensorFlow ...
Written version of this guide: github.com/EdjeElectronics/Te...
Guide for training your own TFLite model: github.com/EdjeElectronics/Te...
Performance comparison between Pi 3B+ and Pi 4 4GB:
• Raspberry Pi 3 vs Rasp...
-- Music credit --
chill. by sakura Hz
sakurahertz.bandcamp.com/trac...
Creative Commons - Attribution 3.0 Unported - CC BY 3.0