Deploying a CIFAR-10 Model for Memory-Constrained Devices with the Zephyr OS on QEMU

Prototyping a tinyML application on a physical device is really fun because we can instantly transform our ideas into something that looks and feels like a real thing. However, before any application comes to life, we must ensure that the models work as expected and, possibly, on different devices. Testing and debugging applications directly on microcontroller boards often require a lot of development time. The main reason for this is the necessity to upload a program onto a device for every code change. However, virtual platforms can come in handy to make testing more straightforward and faster.

In this chapter, we will build an image classification application with TensorFlow Lite for Microcontrollers (tflite-micro) for an emulated Arm Cortex-M3 microcontroller. To accomplish our task, we will start by installing the Zephyr OS, the primary framework used in this chapter. Next, we will design...