Difference: CExamples (2 vs. 3)

Revision 32023-09-07 - UliRaich

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META TOPICPARENT	name="TinyML"

The TinyML examples written in C++

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The TinyML examples in C++, ported to the ESP32 can be found at https://github.com/espressif/tflite-micro-esp-examples/tree/master/examples

The Hello World application

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The TinyML examples in C++, ported to the ESP32 can be found at https://github.com/espressif/tflite-micro-esp-examples/tree/master/examples

. There you also find the procedures to actually build the programs. In fact there are two methods of building:

use thee Espressif esp-idf build system
use the Arduino IDE
use the MicroPython interface to TensorFlow MicroPython Examples

Arduino

For the Arduino SDK (Software Development Kit) you can install the TensorFlowLite_ESP32 library, which does not only contain the TensforFlowLite library but also the examples

hello_world
wake word detection
person detection
... and even some older version of magic wand, which is not available elsewhere

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There you can also find procedure to get the examples compiled. Let's start with the hello_world example. This example uses a pre-built model that has gone through the training process and it has been quantized to reduce its size such that it can be loaded into the small micro-controller memory. Building, training and quantization is described at https://github.com/tensorflow/tflite-micro/tree/main/tensorflow/lite/micro/examples/hello_world

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The Hello World application with esp-idf

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We must first tell the idf.py that we are using an ESP32S3 chip:

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Let's start with the hello_world example. This example uses a pre-built model that has gone through the training process and it has been quantized to reduce its size such that it can be loaded into the small micro-controller memory. Building, training and quantization is described at https://github.com/tensorflow/tflite-micro/tree/main/tensorflow/lite/micro/examples/hello_world

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We must first tell the idf.py that we are using an ESP32S3 chip:

idf.py set-target esp32s3

After that we may have to clean previous builds:

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