新的开发板: Maixduino
!!!
兼容 Arduino UNO R3 外形, k210
+ESP32
( AI
模块+WiFi
+蓝牙 ),软件支持 Micropython
(MaixPy
)、Arduino
(Maixduino
), AIOT
项目开发、原型验证利器!!
Train, Convert, Run MobileNet on Sipeed MaixPy and MaixDuino !
Today we introduce how to Train, Convert, Run MobileNet model on Sipeed Maix board, with easy use MaixPy and MaixDuino~
继续阅读“Train, Convert, Run MobileNet on Sipeed MaixPy and MaixDuino !”
MaixPy Run 20-classes object detection based on tiny-yolov2 in 30 lines~
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 detection (tiny yolo v2)
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)
MaixPy display MNIST feature map
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)
Run MNIST on MaixPy in 30 lines code
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~
新的固件下载工具:kflash_gui,跨平台带界面
K210手写数字识别例程源码解读
K210手写数字识别例程源码解读
关于如何自己训练一个卷积神经网络,并在MAIX开发板上运行,Zepan已经在sipeed的Blog写了一篇比较完整的教程:30分钟训练,转换,运行MNIST于MAIX开发板
本教程主要是对mnist的K210例程做一个详细的解读, 对原来例程里面的main.c
做了逐行注释.