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正如标题所说，我正在尝试在 Python 中定义一个矩阵数组（女巫代表图像）。但是，当我尝试读取矩阵时，我收到了这样的消息：“ImageData instance has no attribute ' getitem '”“我最近开始学习 Python，所以我知道这对很多人来说一定很简单，但我不知道出了什么问题。这是我的代码：

图像数据.py

import random
import math

class ImageData:

def __init__ (self, width, height):
    self.width = width
    self.height = height
    self.data = []
    for i in range(width):
        self.data.append([0] * height)

def set_data (self, x, y, value):
    self.data[x][y] = value

def generate_voronoi_diagram (self, seeds):
    nx = []
    ny = []
    nr = []
    ng = []
    nb = []
    for i in range(seeds):
        # Generate a cell position
        pos_x = random.randrange(self.width)
        pos_y = random.randrange(self.height)
        nx.append(pos_x)
        ny.append(pos_y)

        # Save the rgb data
        nr.append(random.randrange(256))
        ng.append(random.randrange(256))
        nb.append(random.randrange(256))

    for x in range(self.width):
        for y in range(self.height):
            # Return the Euclidean norm
            d_min = math.hypot(self.width-1, self.height-1)
            j = -1
            for i in range(seeds):
                # The distance from a cell to x, y point being considered
                d = math.hypot(nx[i]-x, ny[i]-y)
                if d < d_min:
                    d_min = d
                    j = i
                self.data[x][y] = [nr[j], ng[j], nb[j]]

不确定性可视化.py

from PIL import Image
import numpy
import ImageData

def generate_uncertainty_visualisation (images, width, height):
    image = Image.new("RGB", (width, height))
    putpixel = image.putpixel
    r = g = b = []
    for i in range(width):
        r.append([0] * height)
        g.append([0] * height)
        b.append([0] * height)
    for i in range(len(images)):
        image = images[i]
        for x in range(width):
            for y in range(height):
                #Error here
                rgb = image[x][y]
                r[x][y] += rgb[0]
                g[x][y] += rgb[1]
                b[x][y] += rgb[2]
    for x in range(width):
        for y in range(height):
            r[x][y] /= len(images)
            g[x][y] /= len(images)
            b[x][y] /= len(images)
            putpixel((x, y), (r[x][y], g[x][y], b[x][y]))
    image.save("output.png", "PNG")


if __name__ == "__main__":
    width = 10;
    height = 10;
    entries = []
    seeds = numpy.random.poisson(20)
    images = 1
    for n in range(images):
        entry = ImageData.ImageData(width, height)
        entry.generate_voronoi_diagram(seeds)
        entries.append(entry)
    generate_uncertainty_visualisation(entries, width, height)

任何帮助将不胜感激。谢谢。

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1 回答 1

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首先UncertaintyVisualisaton.py你设置：

image = Image.new("RGB", (width, height))

然后循环遍历images你重新分配：

image = images[i]

这可能不是你想要的。

还有你的错误：

#Error here
rgb = image[x][y]

正在发生，因为 ImageData 不是列表。其中的数据属性为：

#no more Error here
rgb = image.data[x][y]
于 2013-09-03T13:08:00.860 回答