Tkinter 不正确显示图像
Tkinter not displaying image right
我正在 Tkinter 上制作图像处理程序，我的功能之一是根据用户选择的图像制作 Popart 风格的图像。但是这个函数需要相当长的时间，所以我决定在程序制作 popart 图像时添加一个图像说："Image in treatment, please wait..."。但它不应用修改。它只是启动该功能，就好像它正在跳过我要求它显示该图像的那部分。
这是问题函数：
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)
这里是完整代码：
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()
这是我要显示的图片（如果您想知道的话，它是法语的）：
我知道我的变量名太短，这是我的一个坏习惯，我正在努力改掉它，所以请多多包涵我和我的代码，我知道这会让人们更难理解并帮助编写此类代码。
如您所说，主要问题在于def usepop()。将图像加载到标签 I2 并向网格标签 I2 发出命令后，您 运行 函数 pop_art()。然后此功能启动 cpu 密集 activity 将您的图像转换为波普艺术。在此'commotion'期间，您对网格 I2 的指令未执行，即它处于空闲状态，而 cpu 正忙于转换图像。为避免此问题，请在激活 pop_art() 之前发出命令 I2.update_idletasks()，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)
我正在 Tkinter 上制作图像处理程序，我的功能之一是根据用户选择的图像制作 Popart 风格的图像。但是这个函数需要相当长的时间，所以我决定在程序制作 popart 图像时添加一个图像说："Image in treatment, please wait..."。但它不应用修改。它只是启动该功能，就好像它正在跳过我要求它显示该图像的那部分。 这是问题函数：
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)
这里是完整代码：
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()
这是我要显示的图片（如果您想知道的话，它是法语的）：
我知道我的变量名太短，这是我的一个坏习惯，我正在努力改掉它，所以请多多包涵我和我的代码，我知道这会让人们更难理解并帮助编写此类代码。
如您所说，主要问题在于def usepop()。将图像加载到标签 I2 并向网格标签 I2 发出命令后，您 运行 函数 pop_art()。然后此功能启动 cpu 密集 activity 将您的图像转换为波普艺术。在此'commotion'期间，您对网格 I2 的指令未执行，即它处于空闲状态，而 cpu 正忙于转换图像。为避免此问题，请在激活 pop_art() 之前发出命令 I2.update_idletasks()，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)