Seeed-Studio / SSCMA-Micro

A cross-platform framework that deploys and applies SSCMA models to microcontrol devices
https://seeed-studio.github.io/SSCMA-Micro/
MIT License
20 stars 12 forks source link
arduino-library at-cmd esp32 mqtt tensorflow-lite yolo

SSCMA-Micro CPP SDK

SSCMA

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.