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view.py
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view.py
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#coding:utf-8
from Tkinter import *
import time
import sys
sys.path.append("..")
from data.make2D import originPrepare
from src.train import train
from src.test import test
root = Tk()
root.title("CNN 卷积神经网络")
def callback(n,var):
text=''
if n == 1:
text='原始样本载入完成'
originPrepare()
elif n == 2:
text='载入样本'
elif n == 3:
text='随机生成'
elif n == 5:
text='测试样本'
var.set(text)
print n
def loadDataFun(var):
text='原始样本载入完成'
originPrepare()
var.set(text)
def trainFun(status_var,t):
text='样本训练完成'
status_var.set(text)
train(END,t)
def testFun(status_var,t):
text='测试样本'
status_var.set(text)
test(END,t)
class App:
def __init__(self, master):
master.geometry('550x550+50+50')
frame = Frame(master)
frame.pack()
status_var = StringVar()
t = Text()
t.pack()
Button(frame, text="原始样本",font=('Verdana', 15),command=lambda: loadDataFun(status_var) ).grid(row=0,column=0)
Button(frame, text="载入样本",font=('Verdana', 15),command=lambda: callback(2,status_var) ).grid(row=0,column=1)
Button(frame, text="随机生成",font=('Verdana', 15),command=lambda: callback(3,status_var) ).grid(row=0,column=2)
Button(frame, text="训练样本",font=('Verdana', 15),command=lambda: trainFun(status_var,t) ).grid(row=1,column=1)
Button(frame, text="测试样本",font=('Verdana', 15),command=lambda: testFun(status_var,t) ).grid(row=2,column=1)
Label(frame,text = '状态',font=('Verdana', 15),textvariable=status_var).grid()
app = App(root)
root.mainloop()