Question

我目前正在一个项目中，该项目使用面部识别来记录上课情况。下面的第二个代码块用于跟踪（识别视频供稿中的人脸），但是我在第三个代码块中不断收到错误。我认为这与我的索引编制有关，我不确定问题出在哪里。

这是我用于创建StudentDetails.csv的代码

 res = "Images Saved for ID : " + Id +" Name : "+ name
        row = [Id, name]
        with open('StudentDetails\StudentDetails.csv','a+') as csvFile:
            writer = csv.writer(csvFile)
            writer.writerow(row)
        csvFile.close()
        message.configure(text= res)
    else:
        if(is_number(Id)):
            res = "Enter Alphabetical Name"
            message.configure(text= res)
        if(name.isalpha or name.isspace()):
            res = "Enter Numeric Id"
            message.configure(text= res)

这是用于跟踪的代码段

def TrackImages():
    recognizer = cv2.face.LBPHFaceRecognizer_create()#cv2.createLBPHFaceRecognizer()
    recognizer.read("TrainingImageLabel\Trainner.yml")
    harcascadePath = "haarcascade_frontalface_default.xml"
    faceCascade = cv2.CascadeClassifier(harcascadePath);    
    df=pd.read_csv("StudentDetails\StudentDetails.csv")
    cam = cv2.VideoCapture(0)
    font = cv2.FONT_HERSHEY_SIMPLEX        
    col_names =  ['Id','Name','Date','Time']
    attendance = pd.DataFrame(columns = col_names)    
    while True:
        ret, img =cam.read()
        gray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
        faces=faceCascade.detectMultiScale(gray, 1.2,5)    
        for(x,y,w,h) in faces:
            cv2.rectangle(img,(x,y),(x+w,y+h),(225,0,0),2)
            Id, conf = recognizer.predict(gray[y:y+h,x:x+w])                                   
            if(conf < 50):
                ts = time.time()      
                date = datetime.datetime.fromtimestamp(ts).strftime('%Y-%m-%d')
                timeStamp = datetime.datetime.fromtimestamp(ts).strftime('%H:%M:%S')
                aa=df.loc[df['Id'] == Id]['Name'].values
                tt=str(Id)+"-"+aa
                attendance.loc[len(attendance)] = [Id,aa,date,timeStamp]
                
               
                
            else:
                Id='Unknown'                
                tt=str(Id)  
            if(conf > 75):
                noOfFile=len(os.listdir("ImagesUnknown"))+1
                cv2.imwrite("ImagesUnknown\Image"+str(noOfFile) + ".jpg", im[y:y+h,x:x+w])            
            cv2.putText(img,str(tt),(x,y+h), font, 1,(255,255,255),2)
            
        attendance=attendance.drop_duplicates(subset=['Id'],keep='first')    
        cv2.imshow('frame',img) 
        if (cv2.waitKey(1)==ord('q')):
            break
    ts = time.time()      
    date = datetime.datetime.fromtimestamp(ts).strftime('%Y-%m-%d')
    timeStamp = datetime.datetime.fromtimestamp(ts).strftime('%H:%M:%S')
    Hour,Minute,Second=timeStamp.split(":")
    fileName="Attendance\Attendance_"+date+"_"+Hour+"-"+Minute+"-"+Second+".csv"
    attendance.to_csv(fileName,index=False)
    cam.release()
    cv2.destroyAllWindows()
    #print(attendance)
    res=attendance
    message2.configure(text= res)

这是我收到此代码的错误：

Exception in Tkinter callback
Traceback (most recent call last):
  File "C:\Users\IFEANYI\AppData\Local\Programs\Python\Python38-32\lib\site-packages\pandas\core\indexes\base.py", line 2646, in get_loc
    return self._engine.get_loc(key)
  File "pandas\_libs\index.pyx", line 111, in pandas._libs.index.IndexEngine.get_loc
  File "pandas\_libs\index.pyx", line 138, in pandas._libs.index.IndexEngine.get_loc
  File "pandas\_libs\hashtable_class_helper.pxi", line 1619, in pandas._libs.hashtable.PyObjectHashTable.get_item
  File "pandas\_libs\hashtable_class_helper.pxi", line 1627, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 'Id'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:\Users\IFEANYI\AppData\Local\Programs\Python\Python38-32\lib\tkinter\__init__.py", line 1883, in __call__
    return self.func(*args)
  File "C:\Users\IFEANYI\Documents\yr 4 semester 2\FR2\ifeanyi train.py", line 184, in TrackImages
    aa=df.loc[df['Id'] == Id]['Name'].values
  File "C:\Users\IFEANYI\AppData\Local\Programs\Python\Python38-32\lib\site-packages\pandas\core\frame.py", line 2800, in __getitem__
    indexer = self.columns.get_loc(key)
  File "C:\Users\IFEANYI\AppData\Local\Programs\Python\Python38-32\lib\site-packages\pandas\core\indexes\base.py", line 2648, in get_loc
    return self._engine.get_loc(self._maybe_cast_indexer(key))
  File "pandas\_libs\index.pyx", line 111, in pandas._libs.index.IndexEngine.get_loc
  File "pandas\_libs\index.pyx", line 138, in pandas._libs.index.IndexEngine.get_loc
  File "pandas\_libs\hashtable_class_helper.pxi", line 1619, in pandas._libs.hashtable.PyObjectHashTable.get_item
  File "pandas\_libs\hashtable_class_helper.pxi", line 1627, in strong textpandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 'Id'

这是StudentDetails.csv的快照 StudentDetails.csv

如何在熊猫数据框中修复KeyError：'Id'

0 个答案: