Hello_worldArduinoVersion < IoT_Course

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---+ The Arduino hello world example

For the Arduino SDK (Software Development Kit) you can install the !TensorFlow_ESP32 library, which does not only contain the !TensorFlowLite-Micro (tflm) 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
<img alt="tflite_examples_arduino.png" height="905" src="%ATTACHURL%/tflite_examples_arduino.png" title="tflite_examples_arduino.png" width="1288" />

Unfortunately the Arduino library !TensorFlowLite_ESP32 uses an outdated version of the tensorflow lite micro code. I therefore created my own Arduino Library (TFLM_ESP32) with the latest version of tflm and I modified the example code correspondingly.

The Arduino code uses a pre-built model (see  [[hello_world tflite-micro version]] for the creation and training of the model) in form of a C++ source file and its associated include file (model.cpp and model.h) to get hold of this model.

-- %USERSIG{UliRaich - 2023-12-18}%

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I	Attachment	History	Action	Size	Date	Who	Comment
png	tflite_examples_arduino.png	r1	manage	178.7 K	2023-12-18 - 16:12	UliRaich

Topic revision: r2 - 2023-12-18 - UliRaich