意外錯誤？

Question

所以最近我一直在sentdex的機器學習代碼測試和跨錯誤來，如下圖所示：

Traceback (most recent call last): 
File "C:\Users\---\Desktop\Images\Foundations Picture\imagerecognition 
(1).py", line 61, in whatNumIsThis 
loadExamps = open('numArEx.txt','r').read() 
IOError: [Errno 2] No such file or directory: 'numArEx.txt' 

至於我的編碼，就來到了如下所示：

from PIL import Image 
import numpy as np 
import matplotlib.pyplot as plt 
import time 
#check if it works 
from collections import Counter 


def createExamples(): 
    #Below, the file will create itself after running the script 
    numberArrayExamples = open('numArEx.txt','a') 
    #Different Diseases 
    numbersWeHave = range(0,7) 
    #Different pictures of the same disease 
    versionsWeHave = range(1,4) 
    #creates a sample file in the directory 
     for eachNum in numbersWeHave: 
     for eachVer in versionsWeHave: 
      #print str(eachNum)+'.'+str(eachVer) 
      imgfilePath = ''+str(eachNum)+'.'+str(eachVer)+'.png' 
      ei = Image.open(imgFilePath) 
      eiar = np.array(ei) 
      eiar1 = str(eiar.tolist()) 

      lineToWrite = str(eachNum)+'::'+eiar1+'\n' 
      numberArrayExamples.write(lineToWrite) 

#changing array to make it black and white 
def threshold(imageArray): 
    balanceAr = [] 
    newAr = imageArray 
    #For every color, it would take all of the lighter colors to be white 
and all of the darkers colors to be black. 
    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)) 
    #Changing the color 
    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] = 255 
      else: 
       eachPix[0] = 0 
       eachPix[0] = 0 
       eachPix[0] = 0 
       eachPix[0] = 255 
    return newAr 

#pattern recognition. It compares pictures 
def whatNumIsThis(filePath): 
    matchAr = [] 
    loadExamps = open('numArEx.txt','r').read() 
    loadExamps = loadExamps.split('\n') 
    i = Image.open(filePath) 
    iar = np.array(i) 
    iarl = iar.tolist() 

    inQuestion = str(iarl) 

    for eachExample in loadExamps: 
     if len(eachExample) > 3: 
      splitEx = eachExample.split('::') 
      currentNum = splitEx[0] 
      currentAr = splitEx[1] 

      eachPixEx = currentAr.split('],') 

      eachPixInQ = inQuestion.split('],') 

      x = 0 

      while x < len(eachPixEx): 
       if eachPixEx[x] == eachPixInQ[x]: 
        matchedAr.append(int(currentNum)) 
       x += 1 

    print matchedAr 
    x = Counter(matchedAr) 
    print x 

    graphX = [] 
    graphY = [] 

    for eachThing in x: 
     print eachThing 
     graphX.append(eachThing) 
     print x[eachThing] 
     graphY.append(x[eachThing]) 

    fig = plt.figure() 
    ax1 = plt.subplot2grid((4,4),(0,0), rowspan=1, colspan=4) 
    ax2 = plt.subplot2grid((4,4),(1,0), rowspan=3, colspan=4) 


    ax1.imshow(iar) 

    ax2.bar(graphX,graphY, align='center') 
    #limits y-axis to 400 
    plt.ylim(400) 

    xloc = plt.MaxNLocator(12) 

    ax2.xaxis.set_major_locator(xloc) 


#import images in here 
whatNumIsThis('Foundations Picture/0.1.png') 

當我閱讀這段代碼的指南，它表示newArEx.txt文件應該由它自己創建，所以我很困惑爲什麼我得到了錯誤。有人可以解釋嗎？謝謝。

Answer 1

你要求它加載txt文件，但你還沒有創建它。你首先需要運行createExamples()。然後你可以運行whatNumIsThis()。另外，您的縮進還沒有結束。在createExamples()中，您將變量名稱命名爲imgfilePath，但您可以撥打imgFilePath。