Skip to content

u2man/Handwritten-Digit-Recognition-STM32

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

51 Commits
 
 
 
 
 
 
 
 

Repository files navigation

HANDRITTEN RECOGNITION ON STM32F429

STM32F429 run STM32Cube.AI. Dataset for digit recognition using MNIST dataset in Keras. STM32F429 will use LCD and touch screen. Calibration needed for the touch screen.

A box, 140x140 pixel is provided for writting area. The program will read this box area then convert it to 28x28 pixel. And save in a float type array with 28x28 (784) in size.This array then convert to 32 bit float and save to AI input data. This input data then feed to AI network by call ai_run function. The result the read from ai_output data and display to LCD. IDE = STM32CubeIDE

video https://youtu.be/tkzUW-2sKvI

Releases

No releases published

Packages

No packages published

Languages