【发布时间】:2018-10-29 02:43:06
【问题描述】:
很抱歉打扰您,但我想寻求帮助。当我调用 Neural_network 方法时,我的 tkinter 应用程序会冻结,因为它会中断主循环。我试图添加线程,但它没有按预期工作。如果有人可以帮助我,我将不胜感激。谢谢!
class Toplevel1:
def __init__(self, top=None):
def neural_network(p1,p2,p3,p4,p5):
#NEURAL NETWORK STUFF GOING ON HERE
print(round(prediction.item(0)))
if round(prediction.item(0)) == 1: self.Label1_6.configure(text='''Malignant''', foreground="red")
else: self.Label1_6.configure(text='''Benign''', foreground="green")
def call_neural(p1, p2, p3, p4, p5):
self.Label1_6.configure(text='''Please wait...''', foreground="black")
root.after(10000, neural_network(p1, p2, p3, p4, p5))
def analytics():
try:
float(self.Entry1_3.get())
float(self.Entry1_4.get())
float(self.Entry1_5.get())
float(self.Entry1_6.get())
float(self.Entry1_7.get())
p1 = (float(self.Entry1_3.get()) - 6.981) / (21.129)
p2 = (float(self.Entry1_4.get()) - 43.79) / (144.71)
p3 = (float(self.Entry1_5.get()) - 143.5) / (2357.5)
p4 = (float(self.Entry1_6.get()) - 0.01938) / (0.32602)
p5 = (float(self.Entry1_7.get()) - 0) / (0.4268)
if 0 <= p1 <= 1 and 0 <= p2 <= 1 and 0 <= p3 <= 1 and 0 <= p4 <= 1 and 0 <= p5 <= 1: call_neural(p1, p2, p3, p4, p5)
else: self.Label1_6.configure(text='''Error: Out of bounds''')
except ValueError:
self.Label1_6.configure(text='''Please fill all fields''')
【问题讨论】:
标签: python multithreading tkinter