SSCMA-Micro CPP SDK
![SSCMA](https://github.com/Seeed-Studio/SSCMA-Micro/raw/dev/docs/images/sscma.png)
SSCMA-Micro is a cross-platform machine learning inference framework designed for embedded devices, serving for Seeed Studio SenseCraft Model Assistant and providing functionalities such as digital image processing, neural network inferencing, AT command interaction, and more.
Overview
Neural Networks
Object Detection |
Classification |
Pose Detection |
Anomaly Detection |
FOMO |
IMCLS (MobileNetV2) |
PFLD |
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YOLO |
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YOLOv8 Pose |
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YOLOv8 |
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Model Formats
TF-Lite |
ONNX |
Binary Model |
INT8 |
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Device Support
License
This project is released under the MIT license.