Deploying FOMO on the Raspberry Pi Pico

Here we are, ready to deploy the FOMO model on the Raspberry Pi Pico.

In this recipe, we will develop a sketch to run the model inference with the Edge Impulse Inferencing SDK and transmit the centroid coordinates of the detected objects over the serial.

These coordinates will be read in the Python script developed previously to highlight the detected objects within the video stream.

Getting ready

Deploying the model trained with Edge Impulse is easy on any Arduino-compatible platform, thanks to the Arduino library generated by Edge Impulse.

This library contains everything we need to run the model inference successfully on the device, such as the following:

• The trained model in TensorFlow Lite format.
• Model parameters, such as the input image resolution and color format or the maximum number of possible detections in a single frame.
• A library containing a set of functions for Digital Signal Processing...