GitHub - sipeed/MaixPy: MicroPython for K210 RISC-V, let's play with edge AI easierYou signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session.
MAixPy: Object detector - MobileNet and YOLOv2 on Sipeed MAix Dock
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, this tutorial will try to accomplish the following points: A quick introduction to YOLO(v2)A quick introduction to MAix KPUTraining, evaluation, and testing of the object detector model (on Jupyter-Note
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GitHub - zhen8838/K210_Yolo_framework: Yolo v3 framework base on tensorflow, support multiple models, multiple datasets, any number of output layers, any number of anchors, model prune, and portable model to K210 !
Introduction of MaixPy - Sipeed Wiki