我在我的代码中得到这个错误可以任何一个帮助 [英] I am getting this error in my code can any one help

问题描述

警告（来自警告模块）：

文件D：\Python \programs\IMG PRO\im3.py，第8行
 avgNum = reduce（lambda x，y：x + y，eachPix [：3]）/ 3 
运行时警告：ubyte_scalars遇到溢出

警告（来自警告模块）：

文件D：\Python \programs\IMG PRO\im3.py ，第16行
如果减少（lambda x，y：x + y，eachPix [：3]）/ len（eachPix [：3]）>余额：
运行时警告：ubyte_scalars遇到溢出

我尝试过：

 来自 PIL  import  Image 
  import  numpy  as  np 
  import  matplotlib.pyplot  as  plt 
  def  bal（imageArray） ：
 balanceAr = [] 
  for  everyRow  in  imageArray：
  for  eachPix  in  eachRow：
 avgNum = reduce（ lambda  x，y：x + y，eachPix [： 3 ]）/ 3 
 balanceAr.append（avgNum）
 balance = sum（balanceAr [ 0 ：len（余额Ar）]）/ len（balanceAr）
 返回余额
  def 阈值（ imageArray，balance）：
 newAr = imageArray 
   everyRow  in  newAr：
  for  eachPix  in  eachRow：
  if （reduce（ lambda  x，y：x + y，eachPix [： 3 ] ）/  3 ）>余额：
 eachPix [ 0 ] =  255  
 eachPix [ 1 ] =  255  
 eachPix [ 2 ] =  255  
 eachPix [ 3 ] =  255  
  else ：
 eachPix [ 0 ] =  0  
 eachPix [ 1 ] =  0  
 eachPix [ 2 ] =  0  
 eachPix [ 3 ] =  255  
  return  newAr 
 
 
i = 0 
 newa = list（）
  while  i< 3：
i = i +  1  
 na = raw_input（  输入图像名称）
i = Image.open（na）
 iar = np.array（i）
b = bal（iar）
 iar = threshold（iar，b）
 newa.append（iar）

解决方案

< blockquote>这些不是错误而是警告。



他们告诉你，操作 x + y 的结果可能会溢出。您的参数类型为 uint8 （范围0到255）。添加两个这样的值时，结果可能大于255，无法存储为 uint8 。然后结果被截断为8位。



如果可以接受或不接受。



谷歌搜索错误表明你不是这个代码部分的第一个：

python - ubyte_scalars中遇到的运行时警告溢出 - Stack Overflow [ ^ ]

Warning (from warnings module):

File "D:\Python\programs\IMG PRO\im3.py", line 8
    avgNum = reduce(lambda x, y: x + y, eachPix[:3])/3
RuntimeWarning: overflow encountered in ubyte_scalars

Warning (from warnings module):

File "D:\Python\programs\IMG PRO\im3.py", line 16
    if reduce(lambda x, y: x + y, eachPix[:3]) / len(eachPix[:3]) > balance:
RuntimeWarning: overflow encountered in ubyte_scalars

What I have tried:

from PIL import Image
import numpy as np
import matplotlib.pyplot as plt
def bal(imageArray):
    balanceAr = []
    for eachRow in imageArray:
        for eachPix in eachRow:
            avgNum = reduce(lambda x, y: x + y, eachPix[:3])/3
            balanceAr.append(avgNum)
    balance = sum(balanceAr[0:len(balanceAr)]) / len(balanceAr)
    return balance
def threshold(imageArray,balance):
    newAr = imageArray
    for eachRow in newAr:
        for eachPix in eachRow:
            if (reduce(lambda x, y: x + y, eachPix[:3]) / 3) > balance:
                eachPix[0] = 255
                eachPix[1] = 255
                eachPix[2] = 255
                eachPix[3] = 255
            else:
                eachPix[0] = 0
                eachPix[1] = 0
                eachPix[2] = 0
                eachPix[3] = 255
    return newAr


i=0
newa=list()
while i<3:
    i=i+1
    na=raw_input("enter image name")
    i=Image.open(na)
    iar = np.array(i)
    b=bal(iar)
    iar = threshold(iar,b)
    newa.append(iar)

解决方案

These are not errors but warnings.

They tell you that the result of the operation x + y might overflow. Your parameters are of type uint8 (range 0 to 255). When adding two such values the result may be greater than 255 which can't be stored as uint8. Then the result is truncated to 8 bits.

If this can be accepted or not depends.

Googling for the error shows that you are not the first one for this code portions:
python - Runtime Warning overflow encountered in ubyte_scalars - Stack Overflow[^]

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