This tutorial is about training (on PC) and deploying a YOLOv2 object detector on a MAix M1w Dock Suit running MicroPython. The MobileNet is used as a pre-trained model for the training.
Therefore, the original tutorial accomplishes the following points:
1. A quick introduction to YOLO(v2)
2. A quick introduction to MAix KPU
3. Training, evaluation, and testing of the object detector model (on Jupyter-Notebooks running on Docker)
4. Flashing the trained model on the MAix M1w Dock Suit running MicroPython (MAixPy)
5. Detecting a BRIO locomotive using the MAix M1w Dock Suit