TinyMLgen for Python
A Python package to export TensorFlow Lite neural networks to C++ for microcontrollers

Tinymlgen is a Python library to export TensorFlow models into C format with a single line of code.
As an Arduino maker, you can then run that model on your microcontroller using the EloquentTinyML library.
Installation
Tinymlgen is available on PyPi, so you can use pip to install.
pip install -U tinymlgen
Or you can clone the Github repo
git clone https://github.com/eloquentarduino/tinymlgen
How to use
Tinymlgen package has a single method called port()
: it accepts a TensorFlow model and
returns the C code you need to import in your Arduino sketch.
from tinymlgen import port
if __name__ == '__main__':
tf_model = create_tf_model()
c_code = port(tf_model)
with open('tensorflow_model.h', 'w') as file:
file.write(c_code)
Want to quickly integrate TensorFlow Lite models into your Arduino project? EloquentTinyML library makes it a breeze.
Configuration
The port()
method accepts 2 optional configuration options:
-
variable_name (str, defaults to 'model_data')
: this is the name of the exported variable in C -
pretty_print (bool, defaults to False)
: if True, the output is formatted in a more readable format
Having troubles? Ask a question
Related posts
tinyml
Color classification with TinyML
Get familiar with data collection and pre-processing for Machine Learning tasks
tinyml
Attiny Machine Learning
Can an Attiny85 really run Machine Learning? Let's find out in this article!
libraries
EloquentTinyML for Arduino
An Arduino library to make TensorFlow Lite for Microcontrollers neural networks more accessible and easy to use
tinyml
Gesture classification
Classify accelerometer's data with blazing fast spectral features extraction
esp32-cam
Esp32 Camera Object Detection
The beginner-friendly guide to run Edge Impulse FOMO Object Detection on the Esp32 Camera with little effort