以下代码的KeyError问题是否有解决方案

Question

当我尝试运行以下代码进行面部跟踪，图像拍摄和培训时，一切工作正常。但是，当我单击以跟踪实时图像时，它不起作用，并显示KeyError：'Id'。我该如何解决这个问题？

def TrackImages():
    recognizer = cv2.face_LBPHFaceRecognizer.create()
    recognizer.read("TrainingImageLabel\Trainner.yaml")
    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, im = cam.read()
        gray = cv2.cvtColor(im, cv2.COLOR_BGR2GRAY)
        faces = faceCascade.detectMultiScale(gray, 1.2, 5)
        for (x, y, w, h) in faces:
            cv2.rectangle(im, (x, y), (x + w, y + h), (255, 0, 0), 2)
            I, 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'] == I]['Name'].values
                tt = str(I) + "-" + aa
                attendance.loc[len(attendance)] = [I, aa, date, timeStamp]
            else:
                I = 'Unknown'
                tt = str(I)
                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(im, str(tt), (x, y + h), font, 1, (255, 255, 255), 2)
        attendance = attendance.drop_duplicates(subset=['Id'], keep='first')
        cv2.imshow('im', im)
        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)