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.
| Object Detection | Classification | Pose Detection | Anomaly Detection |
|---|---|---|---|
| FOMO | IMCLS (MobileNetV2) | PFLD | |
| YOLO | YOLOv8 Pose | ||
| YOLOv8 |
| TF-Lite | ONNX | Binary Model |
|---|---|---|
| INT8 |
| MCUs | SBCs |
|---|---|
| Espressif ESP32S3 EYE | |
| Seeed Studio XIAO (ESP32S3) | |
| Seeed Studio Grove Vision AI V1 | |
| Seeed Studio Grove Vision AI V2 |
This project is released under the MIT license.