This is the official repo of micromind, a toolkit that aims at bridging two communities: artificial intelligence and embedded systems. micromind is based on PyTorch and provides exportability for the supported models in ONNX, Intel OpenVINO, and TFLite.
- Smooth flow from research to deployment;
- Support for multimedia analytics recipes (image classification, sound event detection, etc);
- Detailed API documentation;
- Tutorials for embedded deployment;
First of all, install Python 3.8 or later. Open a terminal and run:
pip install micromind
for the basic install. To install micromind with the full exportability features, run
pip install micromind[conversion]
First of all, install Python 3.9 or later.
Clone or download and extract the repository, navigate to <path-to-repository>, open a
terminal and run:
pip install -e .
for the basic install. To install micromind with the full exportability features, run
pip install -e .[conversion]
After the installation, get started looking at the examples and the docs!
Check out this tutorial and have fun deploying your network on MCU!