在Gresycale图像上，“TypeError：'int'对象不可迭代”

时间：2017-02-07 13:03:55

标签： python python-3.x tkinter python-imaging-library

我有一个图像处理程序，其中一个功能与用户选择的图像形成对比。但是在灰度图像的情况下，我收到以下错误：

Exception in Tkinter callback
Traceback (most recent call last):
  File "C:\Program Files\EduPython\App\lib\tkinter\__init__.py", line 1456, in __call__
    return self.func(*args)
  File "C:\Users\megzari.nassim\Desktop\Projet Complet\Test 2.py", line 194, in use_contrast
    result = change_contrast(S2.get())
  File "C:\Users\megzari.nassim\Desktop\Projet Complet\Test 2.py", line 188, in change_contrast
    new_color = tuple(int(factor * (c-128) + 128) for c in color)
TypeError: 'int' object is not iterable

我尝试将color变量重新转换为RGB，但仍然无效。

此处出现此错误的代码：

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

如果您需要完整的代码，请点击此处：

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
import PIL.ImageOps


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]
            if type(p)==int:
                p=(p,p,p)
            o=int((p[0]+p[1]+p[2])/3)
            px1[x,y]=(o,o,o)
    Ima2.save(""+dir_path+"\\Requirements\\ImageMod.png")
    im2 = ImageTk.PhotoImage(file=""+dir_path+"\\Requirements\\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]
            if type(p)==int:
                p=(p,p,p)
            px1[x,y]=(p[0]+S1.get(),p[1]+S1.get(),p[2]+S1.get())
    Ima2.save(""+dir_path+"\\Requirements\\ImageMod.png")
    im2 = ImageTk.PhotoImage(file=""+dir_path+"\\Requirements\\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+"\\Requirements\\traitement.png")
    main.image = im2
    I2 = Tkinter.Label(main, image=im2)
    I2.grid(row=0, column=4, columnspan =4)
    I2.update_idletasks()
    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+"\\Requirements\\ImageMod.png")
    im2 = ImageTk.PhotoImage(file=""+dir_path+"\\Requirements\\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]
            if type(p)==int:
                p=(p,p,p)
            o=int((p[0]+p[1]+p[2])/3)
            px1[x,y]=(o,o,o)
    Ima2 = Ima2.filter(ImageFilter.FIND_EDGES)
    image = Ima2
    if image.mode == 'RGBA':
        r,g,b,a = image.split()
        rgb_image = Image.merge('RGB', (r,g,b))

        inverted_image = PIL.ImageOps.invert(rgb_image)

        r2,g2,b2 = inverted_image.split()

        final_transparent_image = Image.merge('RGBA', (r2,g2,b2,a))

        final_transparent_image.save(""+dir_path+"\\Requirements\\ImageMod.png")

    else:
        inverted_image = PIL.ImageOps.invert(image)
        inverted_image.save(""+dir_path+"\\Requirements\\ImageMod.png")
    im2 = ImageTk.PhotoImage(file=""+dir_path+"\\Requirements\\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(""+dir_path+"\\Requirements\\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=""+dir_path+"\\Requirements\\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()

编辑：我尝试使用：

if type(color)==int:
    color=(color,color,color)

它需要new_color

上的整数

2 个答案:

答案 0 :(得分：1)

来自documentation：

  

<强> .getpixel（XY）

     

返回给定坐标处的像素值。对于单波段图像，返回单个数字;一系列像素   为多波段图像返回值。例如，如果左上角   模式的像素im＆＃34; L＆＃34;那么它的值是128   im.getpixel（（0,0））返回128。

因此，它可以返回单个值或元组。如果它是单个值，您将收到<contact-form model-var="vm.model.billingInvoice" update-data="vm.updateInvoice(data)"></contact-form> 错误。这意味着您必须检查通话中的内容。

答案 1 :(得分：0)

由于没有人能回答这个简单的问题，我经过一系列的测试和演习后发现了自己。 事实上，我所要做的就是检查type()的{​​{1}}。如果是color，我会将int设为元组。您可以通过以下方式分配：color或以下列方式将其设为列表：color=(color,color,color)或color=[color,color,color]然后将其设为元组：color=[color]*3。由于color=tuple(color)现在是一个元组，它仍然是3个相同的值，但new_color需要一个整数，因此您只需通过编写img.putpixel((x, y), new_color)来提取new_color的第一个值。如果new_color=new_color[0]的{​​{1}}不是int，则只需运行另一段代码而不进行任何修改。以下是上述工作代码：

type()
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