MicroMind
Project description
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.
💡 Key features
- Smooth flow from research to deployment;
- Support for multimedia analytics recipes (image classification, sound event detection, etc);
- Detailed API documentation;
- Tutorials for embedded deployment;
🛠️️ Installation
Using Pip
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]
From source
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]
📧 Contact
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