control-scnu 0.8.9

The code package for HuaGuang AI Education

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• 0.control_scnu
• 1.Install control
• 2.Each corresponding file description
  • template
  • init.py
  • file_operation.py
  • gpio.py
  • jiami.py
  • machine_learning.py
  • maths.py
  • requirements.txt
  • shijue (shijue0,shijue1,shijue2)
  • unique.py
  • yuyin.py

0.control_scnu

The library was developed for Huaguang AI Education Innovation Team [Case Department]
Applicable to artificial intelligence education

1.Install control

pip3 install control-scnu

2.Each corresponding file description

template

Where the various model files are saved

init.py

The init file
The version information of the software, programming block and library is indicated in this file

file_operation.py

File manipulation related libraries

gpio.py

Car hardware related library The car forward routine (This item needs to run on the car):

from control import gpio
import time

m=gpio.Mecanum_wheel()
m.uart_init()
m.car_go(200)
time.sleep(2)
m.car_stop()

jiami.py

A library for encrypted files

machine_learning.py

Library for machine learning
Iris machine learning routine:

from control import machine_learning as ml

datasets=ml.DatasetsNew(ml.data_name["鸢尾花"])
model= ml.ModelNew(ml.model_name['神经网络'])
model.train(datasets.x_train, datasets.y_train,dataName=datasets.data_name)
model.test(datasets.x_test,datasets.y_test)
print(model.test_score,flush=True)
model.predict(datasets.x_test)
print(model.pred,flush=True)
model.save(name='myFirstModel')
model1=ml.ModelNew('myFirstModel.proto')
model1.test(datasets.x_test,datasets.y_test)
print(model.pred,flush=True)

maths.py

Library related to basic mathematics

requirements.txt

Library dependent TXT file

shijue (shijue0,shijue1,shijue2)

Visual related libraries
The camera obtains the image and binarizes the display routine:

from control import shijue1

a=shijue1.Img()
a.camera(0)
a.name_windows('img')
while  True:
    a.get_img()
    a.BGR2GRAY()
    a.GRAY2BIN()
    a.show_image('img')
    a.delay(1)

unique.py

Put something special in it

yuyin.py

Speech correlation library
Routines for speech recognition and retelling:

from control import yuyin

s=yuyin.Yuyin(online=True) 
s.my_record(3,"speech")   
print(s.stt("speech"),flush=True)  
s.play_txt(s.stt("speech"))