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A cross-platform framework that deploys and applies SSCMA models to microcontrol devices

Home Page: https://seeed-studio.github.io/SSCMA-Micro/

License: MIT License

C++ 83.15% C 12.09% SWIG 4.75%

sscma-micro's Introduction

SSCMA-Micro CPP SDK

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
YOLO		YOLOv8 Pose
YOLOv8

Model Formats

TF-Lite	ONNX	Binary Model
INT8

Device Support

MCUs	SBCs
Espressif ESP32S3 EYE
Seeed Studio XIAO (ESP32S3)
Seeed Studio Grove Vision AI V1
Seeed Studio Grove Vision AI V2

License

This project is released under the MIT license.

sscma-micro's People

Contributors

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