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SSCMA-Micro CPP SDK\n\n![SSCMA](docs/images/sscma.png)\n\nSSCMA-Micro is a cross-platform machine learning inference framework designed for embedded devices, serving for [Seeed Studio SenseCraft Model Assistant](https://github.com/Seeed-Studio/SSCMA) and providing functionalities such as digital image processing, neural network inferencing, AT command interaction, and more.\n\n\n## Overview\n\n### Neural Networks\n\n| Object Detection | Classification | Pose Detection | Segmentation | Anomaly Detection |\n|---------------------|---------------------|----------------|--------------|-------------------|\n| FOMO | IMCLS (MobileNetV2) | PFLD | YOLOv11 Seg | |\n| Swift YOLO (YOLOv5) | IMCLS (MobileNetV4) | YOLOv8 Pose | | |\n| YOLOv8 | | YOLOv11 Pose | | |\n| YOLOv11 | | | | |\n| YOLO World | | | | |\n| Nidia Det | | | | |\n| RTMdet | | | | |\n\n### Model Formats\n\n| TF-Lite | ONNX | Binary Model |\n|---------|------|--------------|\n| INT8 | | HEF Model |\n| UINT8 | | CVI Model |\n| UINT16 | | |\n| FLOAT32 | | |\n\n### Device Support\n\n| MCUs | SBCs |\n|------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------|\n| Espressif ESP32S3 EYE | [Hailo AI (Raspberry Pi)](https://www.seeedstudio.com/Raspberry-Pi-Al-HAT-26-TOPS-p-6243.html) |\n| [Seeed Studio XIAO (ESP32S3)](https://www.seeedstudio.com/XIAO-ESP32S3-p-5627.html) | |\n| [Seeed Studio Grove Vision AI V1](https://www.seeedstudio.com/Grove-Vision-AI-Module-p-5457.html) | |\n| [Seeed Studio Grove Vision AI V2](https://www.seeedstudio.com/Grove-Vision-AI-Module-V2-p-5851.html) | |\n| [Seeed Studio SenseCAP Watcher](https://www.seeedstudio.com/SenseCAP-Watcher-W1-A-p-5979.html) | |\n| [Seeed Studio reCamera](https://www.seeedstudio.com/reCamera-2002-8GB-p-6251.html) | |\n\n\n## License\n\nThis project is released under the [Apache License](LICENSES).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fseeed-studio%2Fsscma-micro","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fseeed-studio%2Fsscma-micro","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fseeed-studio%2Fsscma-micro/lists"}