Question

我是python的新手，我即将展示的代码来自http://pythonprogramming.net/automated-image-thresholding-python/?completed=/thresholding-python-function/，我收到这个错误：

    Warning (from warnings module):
  File "C:/Users/User/Desktop/tolong aku/thresholding logic.py", line 15
    avgNum = reduce(lambda x, y: x + y, eachPix[:3])/len(eachPix[:3])
RuntimeWarning: overflow encountered in ubyte_scalars

Warning (from warnings module):
  File "C:/Users/User/Desktop/tolong aku/thresholding logic.py", line 21
    if reduce(lambda x, y: x + y, eachPix[:3])/len(eachPix[:3]) > balance:
RuntimeWarning: overflow encountered in ubyte_scalars

Traceback (most recent call last):
  File "C:/Users/User/Desktop/tolong aku/thresholding logic.py", line 41, in <module>
    iar = threshold(iar)
  File "C:/Users/User/Desktop/tolong aku/thresholding logic.py", line 25, in threshold
    eachPix[3] = 0
IndexError: index 3 is out of bounds for axis 0 with size 3

我该如何解决它以及它有什么问题？

这是我在Windows上的python 2.7代码..

# if you are on 32 bit OS:
#import Image

from PIL import Image
import numpy as np
import matplotlib.pyplot as plt
import time

def threshold (imageArray):
    balanceAr = []
    newAr = imageArray

    for eachRow in imageArray:
        for eachPix in eachRow:
            avgNum = reduce(lambda x, y: x + y, eachPix[:3])/len(eachPix[:3])
            balanceAr.append(avgNum)
    balance = reduce(lambda x, y: x + y, balanceAr)/len(balanceAr)

    for eachRow in newAr:
        for eachPix in eachRow:
            if reduce(lambda x, y: x + y, eachPix[:3])/len(eachPix[:3]) > balance:
                eachPix[0] = 255
                eachPix[1] = 255
                eachPix[2] = 255
                eachPix[3] = 0

            else:
                eachPix[0] = 0
                eachPix[1] = 0
                eachPix[2] = 0
                eachPix[3] = 255

    return newAr

i = Image.open ('C:/Users/User/Desktop/tolong aku/50.0.png')
iar = np.array(i)

i2 = Image.open ('C:/Users/User/Desktop/tolong aku/50.1.png')
iar2 = np.array(i2)

iar = threshold(iar)
iar2 = threshold(iar2)

fig = plt.figure()
ax1 = plt.subplot2grid((8,6), (0,0), rowspan=4, colspan=3)
ax2 = plt.subplot2grid((8,6), (4,0), rowspan=4, colspan=3)

ax1.imshow(iar)
ax2.imshow(iar2)

plt.show()

我想让图像变成灰色像素，然后收集数组结果以制作数据集.tq。

Answer 1

当您尝试获取序列的元素（例如，列表或元组）时，会出现索引错误，并使用现有元素范围之外的索引。

例如

t = (1, 2, 3)     # has elements at indices 0, 1, and 2

如果您尝试访问元素3或4，则会出现索引错误。仅存在元素t [0]，t [1]和t [2]。

[[[78 84 84] [172 181 181] [188 196 198] ......，[111 116 113] [62 65 62] [64 66 63]]那么，我只能使用多少像素？

表示内部索引可以计为2：元素[0]，[1]和[2]。下一个索引可以从0到（三元组的数量 - 1）

IndexError？它是什么以及如何解决它

1 个答案: