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- from tkinter import *
- from time import *
- import tkinter.filedialog
- import io
- import cv2
- from PIL import Image, ImageTk
- import numpy as np
- import tensorflow as tf
- import tkinter.messagebox
- a = [""]
- root = Tk() #创建主窗体
- w_box = 700
- h_box = 500
- root.title('Tensorflow实现手写数字识别
这个是背景图
')
- # 获取此电脑的横向分辨率
- sw = root.winfo_screenwidth()
- # 获取此电脑的纵向分辨率
- sh = root.winfo_screenheight()
- w1 = (sw - 700) / 2
- w2 = (sh - 500) /2
- # 使GUI界面居中
- root.geometry('700x500+%d+%d'%(w1,w2))
- image_file = Image.open('4.jpg')
- photo = ImageTk.PhotoImage(image_file)
- fwagui=tkinter.Frame(root,padx=10,pady=10).grid(row=0,column=0)
- tkinter.Label(fwagui,image=photo).grid(row=0,column=0,rowspan=3,columnspan=3)
- Button(root, text='退出', width=10,background="#8C8476", command=root.quit) \
- .grid(row=15, column=0, sticky=W, padx=10, pady=15,ipadx=10,ipady=2)
- mainloop()
复制代码
- from tkinter import *
- from time import *
- import tkinter.filedialog
- import io
- import cv2
- from PIL import Image, ImageTk
- import numpy as np
- #import tensorflow as tf
- import tkinter.messagebox
- a = [""]
- root = Tk() #创建主窗体
- w_box = 700
- h_box = 500
- root.title('Tensorflow实现手写数字识别')
- # 获取此电脑的横向分辨率
- sw = root.winfo_screenwidth()
- # 获取此电脑的纵向分辨率
- sh = root.winfo_screenheight()
- w1 = (sw - 700) / 2
- w2 = (sh - 500) /2
- # 使GUI界面居中
- root.geometry('700x500+%d+%d'%(w1,w2))
- image_file = Image.open('4.jpg')
- photo = ImageTk.PhotoImage(image_file)
- fwagui=tkinter.Frame(root,padx=10,pady=10).grid(row=0,column=0)
- # ---------------------------
- canvas = tkinter.Canvas(fwagui)
- canvas.create_image((350,250), anchor=CENTER, image=photo)
- canvas.grid(row=0,column=0,rowspan=3,columnspan=3,ipadx=700,ipady=500)
- # ---------------------------
- Button(canvas, text='退出', width=10,background="#8C8476", command=root.quit) \
- .grid(row=15, column=0, sticky=W, padx=10, pady=15,ipadx=10,ipady=2)
- mainloop()
复制代码
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