A Python package to export TensorFlow Lite for Microcontrollers Neural Networks to C++
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.
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.
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