Difference: TinyML (2 vs. 3)

Revision 32022-01-31 - UliRaich

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TinyML

Introduction

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Wake word detection, a model which can detect the spoken words "yes" and "no". The on-board microphone is used to sample the audio data.
People detection, a system that gets images from a camera and determines if a person is in sight of the camera
Magic Wand, a system that recognizes gestures using an accelerometer

Changed:

<
<

Michael O'Cleirigh has started a project on github trying to port these examples to MicroPython (https://github.com/mocleiri/tensorflow-micropython-examples

). Since there is are several ESP32 modules that include a simple camera, I2S

microphones are supported in MicroPython and several I2C

accelerometers with interface are available, it should be possible to run these examples on the ESP32.

>
>

Michael O'Cleirigh has started a project on github trying to port these examples to MicroPython (https://github.com/mocleiri/tensorflow-micropython-examples

). Since there are several ESP32 modules that include a simple camera, I2S

microphones are supported in MicroPython and several accelerometers with I2C interface are available, it should be possible to run these examples on the ESP32.

Setting up the PC and MicroPython for TensorFlow

The following pages show how to set up the PC to run TensorFlow, how to create models and how to down-scale them for use on the ESP32. Then a custom version of MicroPython must be created including the esp32-camera driver and its MicroPython interface as well as ulab, a stripped down version of numpy and scipy as well as the tflm library and its MicroPython access routines.

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