Raspberry Pi 3 vs Raspberry Pi 4 Performance with TensorFlow, TF Lite, & Coral USB Accelerator

YouTube Excerpt: Have you wondered how much faster the Raspberry Pi 4 performs than the Raspberry Pi 3 at running computationally intensive TesnorFlow object detection models? This video gives a performance comparison between the Pi 3B+ and the Pi 4 4GB, showing what framerate is achieved when running TensorFlow and TensorFlow Lite SSD-MobileNet detection models. It also shows how much faster the models run when using Google's Coral USB Accelerator. This is the first video in a larger series of TensorFlow Lite videos I'm working on. The series will show how to train your own TensorFlow Lite models and run them on the Raspberry Pi, Android devices, and more. Stay tuned! Raspberry Pi 4 4GB starter kit: https://amzn.to/2Kf0el8 Coral USB Accelerator: https://amzn.to/2BuG1Tv Webcam used in this video (works better than the Picamera!): https://amzn.to/2MMBTU3 Have questions? Ask me on Twitter @EdjeElectronics ! I usually respond faster there: https://twitter.com/EdjeElectronics GitHub guide showing how to set up TensorFlow Lite and Coral USB Accelerator on the Raspberry Pi: https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi/blob/master/deploy_guides/Raspberry_Pi_Guide.md GitHub guide showing how to train and convert your own TensorFlow Lite model: https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi ---- Music credit ---- Flamingo by jlsmrl: https://soundcloud.com/jlsmrl/free-guitar-type-beat-flamingo Creative Commons — Attribution 3.0 Unported — CC BY 3.0 Merry Bay by Ghostrifter Official: https://soundcloud.com/ghostrifter-official/merry-bay Creative Commons — Attribution-ShareAlike 3.0 Unported — CC BY-SA 3.0 Coffee Dreams by Le Gang [Audio Library Release]: https://www.youtube.com/watch?v=JAL3i9ZIwQo Music provided by Audio Library Plus

Have you wondered how much faster the Raspberry Pi 4 performs than the Raspberry Pi 3 at running computationally intensive TesnorFlow object...

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