elif语句中一半图像模糊

Question

我正在尝试制作一个图像，它是一个象限，每个象限的颜色都有变化。我已经设法做了一半的图像，但另一半只是模糊了-没有错误信息。你知道怎么回事吗？右上角是灰度，右下角是黑白

这是我的密码：

import cImage as image

img = image.Image("/home/users/groth1/Downloads/selfie.JPG")
newimg = image.EmptyImage(img.getWidth(), img.getHeight())
win = image.ImageWin(title="Pic",width=img.getWidth(),height=img.getHeight())
img.draw(win)

xQuadrantBoundary = img.getWidth()//2
yQuadrantBoundary = img.getHeight()//2

for row in range(img.getHeight()):  
for col in range(img.getWidth()):
    p = img.getPixel(col, row)

    if row < yQuadrantBoundary:
        if col < xQuadrantBoundary:
            # upper left negative
            newred = 255 - p.getRed()
            newgreen = 255 - p.getGreen()
            newblue = 255 - p.getBlue()
            newpixel1 = image.Pixel(newred, newgreen, newblue)

            img.setPixel(col, row, newpixel1)
        elif col >= xQuadrantBoundary:
           # upper right grayscale ***
            red = p.getRed()
            green = p.getGreen()
            blue = p.getBlue()
            avg = (red + green + blue) / 3.0
            newpixel2 = image.Pixel(newred, newgreen, newblue)
            img.setPixel(col, row, newpixel2)

    elif row >= yQuadrantBoundary:
        if col < xQuadrantBoundary:
            #  lower left no green
            newred = p.getRed()
            newgreen = 0
            newblue = p.getBlue()
            newpixel3 = image.Pixel(newred, newgreen, newblue)
            img.setPixel(col, row, newpixel3)
        elif col >= xQuadrantBoundary:
            #  lower right black and white ***
            red = p.getRed()
            if red > 140:
                val = 255
            else:
                val = 0
        newpixel4 = image.Pixel(newred, newgreen, newblue)
        img.setPixel(col, row, newpixel4)

img.draw(win)
win.exitonclick()

Answer 1

newpixel2 = image.Pixel(newred, newgreen, newblue)

应该是

newpixel2 = image.Pixel(avg, avg, avg)

以及

newpixel4 = image.Pixel(newred, newgreen, newblue)

应该是

newpixel4 = image.Pixel(val, val, val)

否则您将重用最后计算的newred、newgreen和newblue值，从而产生颜色的“条纹”。你知道吗