Python Block Mode¶
In the Model Training Inference Library of Python Block Mode, models trained in the AI Toolbox can be deployed on Linux hardware such as the UNIHIKER M10. ONNX models are invoked via drag-and-drop blocks, balancing ease of use with flexibility:
| Module | Input | Output | Typical Use Case |
|---|---|---|---|
| Image Classification | Image / Camera | Category label + Confidence | Expression recognition, object classification |
| Object Detection | Image / Camera | Target position + Label + Count | Product detection, people counting |
| Instance Segmentation | Image / Camera | Pixel-level mask + Label | Defect detection, image segmentation |
| Temporal Pattern Recognition | Continuous sensor data | Pattern category label + Confidence | Motion recognition, gesture detection |