UPDATED GUIDE: Running TensorFlow Lite Object Recognition on the Raspberry Pi 4 @Raspberry_Pi @TensorFlow #MachineLearning #BrainCraft @circuitpython #circuitpython #AdafruitLearningSystem @Adafruit @MakerMelissa
The Running TensorFlow Lite Object Recognition on the Raspberry Pi 4 guide has been updated to incorporate setting up the BrainCraft HAT for this machine learning project as well. It has also been updated to use the latest version of TensorFlow Lite, version 2.3.1.
Want to up your robotics game and give it the ability to detect objects? Maybe implement a security camera that can see and identify certain items? Now that the Raspberry Pi is fast enough to do machine learning, adding these features is fairly straightforward.
This guide will show you the steps to get TensorFlow 2 and TensorFlow Lite running on your Raspberry Pi 4 along with an object detection demo.
There are two main setup paths to choose from. The first option is with a PiTFT if you want to have a larger display. The second option is with the BrainCraft HAT, which has a built-in display and audio along several other components such as DotStar LEDs, a Joystick, and ports.
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