Today we introduce how to Train, Convert, Run MobileNet model on Sipeed Maix board, with easy use MaixPy and MaixDuino~

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Here is the demo run tiny-yolo v2 to do 20-class classifier
Firmware and kmodel: (the model is half-cooked)
maixpy_20class.zip (2.8 MB)

继续阅读“MaixPy Run 20-classes object detection based on tiny-yolov2 in 30 lines~”

MaixPy run face detect (tiny yolo v2)
Today we use MaixPy to run face detection, here is the frimware and model.
maixpy_yolo2.zip (1015.3 KB)

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MaixPy display MNIST feature map

Today we will get middle layer result, which usually called feature map, and display them on lcd.
firmware and model download from here:
maixpy_fmap.zip (875.0 KB)

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Run MNIST on MaixPy in 30 lines code

here is the preview version of MaixPy run Kmodel V3 MNIST demo.
mnist maixpy.zip (875.0 KB)

First Burn maixpy_kpu_preview.bin, then burn mnist.kfpkg (model)

Power on your Maix Board, and input following code, you will get MNIST run~

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MicroPython在测试程序的时候各种好用，不过通过串口测试REPL程序后，测试完的程序就永远地消失在命令行界面里了。

熟悉Python的各位大佬们都知道有一个神奇的软件叫Jupyter Notebook，可以直接在浏览器里写不限于Python语言的程序，并且可以随时选择运行程序的一部分。MicroPython也被大佬做成了Jupyter Notebook的Kernel，可以将程序留在电脑上自由编辑，随时通过串口在MicroPython上执行。

从MicroPython port出来的MaixPy也可以用这样的方法进行控制。这里简单整理一下本菜鸡在往Maix Go上搬Jupyter Notebook的时候踩过的坑QAQ

继续阅读“用 Jupyter Notebook 控制 MaixPy”

本文介绍人脸追踪云台的组装和使用。（修改Maix内部算法可以改为追踪其它任何物体）

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