Tkinter没有正确显示图像
我正在Tkinter上制作一个图像处理程序，我的一个功能是根据用户选择的图像制作一个Popart风格的图像。但是该功能需要相当长的时间，所以我决定在程序制作popart图像的同时添加一个图像说：“处理中的图像，请稍候......”。但它不适用于修改。它只是启动函数，好像它正在跳过那个我要求它显示该图像的部分。 这是问题功能：
def usepop():
im2 = ImageTk.PhotoImage(file=""+dir_path+"\\Requirements\\traitement.png") #The image "traitement.png" doesn't get displayed
main.image = im2
I2 = Tkinter.Label(main, image=im2)
I2.grid(row=0, column=4, columnspan =4)
pop_art(a, None, coef=4)
im2 = ImageTk.PhotoImage(file=""+dir_path+"\\PopArt\\Result Image\\result.png")
main.image = im2
I2 = Tkinter.Label(main, image=im2)
I2.grid(row=0, column=4, columnspan =4)
这是完整的代码：
from tkinter import*
import tkinter as Tkinter
from tkinter import filedialog, DISABLED, messagebox as tkMessageBox
import os
import ntpath
from PIL import Image, ImageTk, ImageFilter
import PIL
from collections import Counter
from random import randint
import random
def EchelleDeGris():
Ima2=Image.new("RGB",(z[0],z[1]))
px=Ima1.load()
px1=Ima2.load()
for x in range(z[0]):
for y in range(z[1]):
p=px[x,y]
o=int((p[0]+p[1]+p[2])/3)
px1[x,y]=(o,o,o)
Ima2.save(""+dir_path+"ImageMod.png")
im2 = ImageTk.PhotoImage(file=""+dir_path+"ImageMod.png")
main.image = im2
I2 = Tkinter.Label(main, image=im2)
I2.grid(row=0, column=4, columnspan =4)
def SupprimerImage():
I2 = Tkinter.Label(main, image=imt)
I2.grid(row=0, column=4, columnspan =4)
def Luminosite():
Ima2=Image.new("RGB",(z[0],z[1]))
px=Ima1.load()
px1=Ima2.load()
for x in range(z[0]):
for y in range(z[1]):
p=px[x,y]
px1[x,y]=(p[0]+S1.get(),p[1]+S1.get(),p[2]+S1.get())
Ima2.save(""+dir_path+"ImageMod.png")
im2 = ImageTk.PhotoImage(file=""+dir_path+"ImageMod.png")
main.image = im2
I2 = Tkinter.Label(main, image=im2)
I2.grid(row=0, column=4, columnspan =4)
def AnnulerModifications():
I2 = Tkinter.Label(main, image=im1)
I2.grid(row=0, column=4, columnspan =4)
def get_pixel(pixels, x, y):
try:
return pixels[x, y]
except IndexError:
return None
def get_neighbors(pixels, x, y):
neighbors = list()
neighbors.append(get_pixel(pixels, x, y - 1))
neighbors.append(get_pixel(pixels, x, y + 1))
neighbors.append(get_pixel(pixels, x - 1, y))
neighbors.append(get_pixel(pixels, x + 1, y))
neighbors.append(get_pixel(pixels, x - 1, y - 1))
neighbors.append(get_pixel(pixels, x - 1, y + 1))
neighbors.append(get_pixel(pixels, x + 1, y - 1))
neighbors.append(get_pixel(pixels, x + 1, y + 1))
return neighbors
def filter_art(pixels, size):
indexes = dict()
for x in range(size[0]):
for y in range(size[1]):
color = get_pixel(pixels, x, y)
neighbors = get_neighbors(pixels, x, y)
new_color = Counter(neighbors).most_common()[0][0]
if new_color is not None:
indexes[x, y] = new_color
for x, y in indexes:
pixels[x, y] = indexes[x, y]
def pop_art(path_orig, path_mod, coef):
s=[]
for i in range(9):
r=(randint(0,255), randint(0,255), randint(0,255))
g=(randint(0,255), randint(0,255), randint(0,255))
b=(randint(0,255), randint(0,255), randint(0,255))
image_orig = Image.open(path_orig)
size = image_orig.size
image_mod = Image.new("RGB",(size[0],size[1]))
pixels_orig = image_orig.load()
pixels_mod = image_mod.load()
for x in range(size[0]):
for y in range(size[1]):
p = pixels_orig[x, y]
if isinstance(p, int):
rgb = (p,p,p)
elif isinstance(p, tuple) and len(p) in (3, 4):
rgb = p[:3]
else:
raise TypeError('Unknown pallete')
average_color = sum(rgb) / 3
if average_color <= 85:
pixels_mod[x, y] = r
elif 85 < average_color <= 170:
pixels_mod[x, y] = g
elif average_color > 170:
pixels_mod[x, y] = b
for _ in range(coef):
filter_art(pixels_mod, size)
image_mod.save(''+dir_path+'\\PopArt\\Modified Images\\result'+str(i)+'.png')
Img=[None]*9
for i in range(9):
Img[i]=Image.open(""+dir_path+"\\PopArt\\Modified Images\\result"+str(i)+".png")
basewidth = int(Img[i].size[1]/3)
wpercent = (basewidth / float(Img[i].size[0]))
hsize = int((float(Img[i].size[1]) * float(wpercent )))
Img[i] = Img[i].resize((basewidth , hsize ), PIL.Image.ANTIALIAS)
Img[i].save(''+dir_path+'\\PopArt\\Resized Images\\resized_image'+str(i)+'.png')
Img1=[None]*9
pixels1=[None]*9
Imaz=Image.new("RGB",(basewidth*3,hsize*3))
pixels=Imaz.load()
for i in range(9):
Img1[i]=Image.open(''+dir_path+'\\PopArt\\Resized Images\\resized_image'+str(i)+'.png')
pixels1[i]=Img1[i].load()
for x in range(0,basewidth):
for y in range(0,hsize):
pixels[x,y]=pixels1[0][x,y]
for y in range(hsize,hsize*2):
pixels[x,y]=pixels1[1][x,y-hsize]
for y in range(hsize*2,hsize*3):
pixels[x,y]=pixels1[2][x,y-hsize*2]
for x in range(basewidth,basewidth*2):
for y in range(0,hsize):
pixels[x,y]=pixels1[3][x-basewidth,y]
for y in range(hsize,hsize*2):
pixels[x,y]=pixels1[4][x-basewidth,y-hsize]
for y in range(hsize*2,hsize*3):
pixels[x,y]=pixels1[5][x-basewidth,y-hsize*2]
for x in range(basewidth*2,basewidth*3):
for y in range(0,hsize):
pixels[x,y]=pixels1[6][x-basewidth*2,y]
for y in range(hsize,hsize*2):
pixels[x,y]=pixels1[7][x-basewidth*2,y-hsize]
for y in range(hsize*2,hsize*3):
pixels[x,y]=pixels1[8][x-basewidth*2,y-hsize*2]
Imaz = Imaz.resize((size[0] , size[1] ), PIL.Image.ANTIALIAS)
Imaz.save(""+dir_path+"\\PopArt\\Result Image\\result.png")
def usepop():
im2 = ImageTk.PhotoImage(file=""+dir_path+"\\traitement.png")
main.image = im2
I2 = Tkinter.Label(main, image=im2)
I2.grid(row=0, column=4, columnspan =4)
pop_art(a, None, coef=4)
im2 = ImageTk.PhotoImage(file=""+dir_path+"\\PopArt\\Result Image\\result.png")
main.image = im2
I2 = Tkinter.Label(main, image=im2)
I2.grid(row=0, column=4, columnspan =4)
def change_contrast(level):
img = Image.open(a)
img.load()
factor = (259 * (level+255)) / (255 * (259-level))
for x in range(img.size[0]):
for y in range(img.size[1]):
color = img.getpixel((x, y))
new_color = tuple(int(factor * (c-128) + 128) for c in color)
img.putpixel((x, y), new_color)
return img
def use_contrast():
result = change_contrast(S2.get())
result.save(""+dir_path+"ImageMod.png")
im2 = ImageTk.PhotoImage(file=""+dir_path+"ImageMod.png")
main.image = im2
I2 = Tkinter.Label(main, image=im2)
I2.grid(row=0, column=4, columnspan =4)
def recherche_contours():
Ima2=Image.new("RGB",(z[0],z[1]))
px=Ima1.load()
px1=Ima2.load()
for x in range(z[0]):
for y in range(z[1]):
p=px[x,y]
o=int((p[0]+p[1]+p[2])/3)
px1[x,y]=(o,o,o)
Ima2 = Ima2.filter(ImageFilter.FIND_EDGES)
Ima2.save(""+dir_path+"ImageMod.png")
im2 = ImageTk.PhotoImage(file=""+dir_path+"ImageMod.png")
main.image = im2
I2 = Tkinter.Label(main, image=im2)
I2.grid(row=0, column=4, columnspan =4)
main=Tk()
main.withdraw()
a = filedialog.askopenfilename()
main.deiconify()
dir_path = os.path.dirname(os.path.realpath("Test2.py"))
main.configure(background="#a1dbcd")
main.title("Photoshop Version.Megzari")
Ima1=Image.open(a)
z=Ima1.size
nux=Image.new("RGB",(z[0],z[1]))
nuxy=nux.load()
for x in range(z[0]):
for y in range(z[1]):
nuxy[x,y]=(255,255,255)
nux.save("Blank.png")
if z>(400,400):
main.withdraw()
tkMessageBox.showinfo( "Resolution Error", "The image is too big, please select a smaller one.")
sys.exit()
elif z<(400,400):
im1 = ImageTk.PhotoImage(file=a)
I1 = Tkinter.Label(main, image=im1)
I1.grid(row=0, column=1, columnspan =3)
imt = ImageTk.PhotoImage(file="Blank.png")
T1 = Tkinter.Label(main, image=imt)
T1.grid(row=0, column=4, columnspan =4)
B1 = Tkinter.Button(main, text ="Echelle de gris", command = EchelleDeGris, fg="#a1dbcd", bg="#383a39", state=NORMAL)
B1.grid(padx=20, pady=20, row=1, column=0)
B3 = Tkinter.Button(main, text ="Appliquer Luminosité", command = Luminosite, fg="#a1dbcd", bg="#383a39")
B3.grid(padx=20, pady=20, row=1, column=1)
S1 = Scale(main, from_=0, to=254, orient=HORIZONTAL, fg="#a1dbcd", bg="#383a39", length = 200)
S1.grid(row=2, column=1)
B2 = Tkinter.Button(main, text ="Supprimer Image", command = SupprimerImage, fg="#a1dbcd", bg="#383a39")
B2.grid(padx=20, pady=20, row=1, column=7)
B3 = Tkinter.Button(main, text ="Annuler Modifications", command = AnnulerModifications, fg="#a1dbcd", bg="#383a39")
B3.grid(padx=20, pady=20, row=1, column=6)
B4 = Tkinter.Button(main, text ="Pop Art", command = usepop, fg="#a1dbcd", bg="#383a39")
B4.grid(padx=20, pady=20, row=1, column=3)
S2 = Scale(main, from_=-258, to=258, orient=HORIZONTAL, fg="#a1dbcd", bg="#383a39", length = 200)
S2.grid(row=2, column=4)
B4 = Tkinter.Button(main, text ="Appliquer Contraste", command = use_contrast, fg="#a1dbcd", bg="#383a39")
B4.grid(padx=20, pady=20, row=1, column=4)
B5 = Tkinter.Button(main, text ="Trouver Contours", command = recherche_contours, fg="#a1dbcd", bg="#383a39")
B5.grid(padx=20, pady=20, row=1, column=5)
s=S1.get()
s2=S2.get()
main.mainloop()
这是我想要显示的图像（如果你想知道它是法语）：
我知道我的变量名太短了，这是我的一个坏习惯，我正试图摆脱它，所以忍受我和我的代码，我明白它让人们更难理解，所以帮助这种代码。
1 个答案:
答案 0 :(得分：1)
正如您所提到的，主要问题在于def usepop()。将图像加载到标签I2并将命令发送到网格标签I2到位后，运行函数pop_art()。然后，此功能启动了cpu密集型活动，将您的图像转换为流行艺术。在这个“骚动”期间，你没有执行你对网格I2的指令，即当cpu忙于转换图像时它是空闲的。要避免此问题，请在激活I2.update_idletasks()之前发出命令pop_art()，如下所示。它适用于我的系统。
def usepop():
#im2 = ImageTk.PhotoImage(file=""+dir_path+"\\traitement.png")
print(dir_path)
im2 = ImageTk.PhotoImage(file=""+dir_path+"\\Requirements\\traitement.png") #The image "traitement.png" doesn't get displayed)
main.image = im2
I2 = Tkinter.Label(main, image=im2)
I2.grid(row=0, column=4, columnspan =4)
I2.update_idletasks() # Add this to ensure I2.grid is performed first and not remain idle.
pop_art(a, None, coef=4)
im2 = ImageTk.PhotoImage(file=""+dir_path+"\\PopArt\\Result Image\\result.png")
main.image = im2
I2 = Tkinter.Label(main, image=im2)
I2.grid(row=0, column=4, columnspan =4)
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