这是我的面部识别和出勤代码：
import datetime
import os
import time
import cv2
import pandas as pd
#-------------------------
def recognize_attendence():
recognizer = cv2.face.LBPHFaceRecognizer_create()
# cv2.createLBPHFaceRecognizer()
recognizer.read("TrainingImageLabel"+os.sep+"Trainner.yml")
harcascadePath = "haarcascade_frontalface_default.xml"
faceCascade = cv2.CascadeClassifier(harcascadePath)
df = pd.read_csv("StudentDetails"+os.sep+"StudentDetails.csv")
font = cv2.FONT_HERSHEY_SIMPLEX
col_names = ['Id', 'Name', 'Date', 'Time']
attendance = pd.DataFrame(columns=col_names)
# Initialize and start realtime video capture
cam = cv2.VideoCapture(0, cv2.CAP_DSHOW)
cam.set(3, 640) # set video width
cam.set(4, 480) # set video height
# Define min window size to be recognized as a face
minW = 0.1 * cam.get(3)
minH = 0.1 * cam.get(4)
while True:
ret, im = cam.read()
gray = cv2.cvtColor(im, cv2.COLOR_BGR2GRAY)
faces = faceCascade.detectMultiScale(gray, 1.2, 5,minSize = (int(minW), int(minH)),flags = cv2.CASCADE_SCALE_IMAGE)
for(x, y, w, h) in faces:
cv2.rectangle(im, (x, y), (x+w, y+h), (10, 159, 255), 2)
Id, conf = recognizer.predict(gray[y:y+h, x:x+w])
if conf < 100:
aa = df.loc[df['Id'] == Id]['Name'].values
confstr = " {0}%".format(round(100 - conf))
tt = str(Id)+"-"+aa
else:
Id = ' Unknown '
tt = str(Id)
confstr = " {0}%".format(round(100 - conf))
if (100-conf) > 67:
ts = time.time()
date = datetime.datetime.fromtimestamp(ts).strftime('%Y-%m-%d')
timeStamp = datetime.datetime.fromtimestamp(ts).strftime('%H:%M:%S')
aa = str(aa)[2:-2]
attendance.loc[len(attendance)] = [Id, aa, date, timeStamp]
tt = str(tt)[2:-2]
if(100-conf) > 67:
tt = tt + " [Pass]"
cv2.putText(im, str(tt), (x+5,y-5), font, 1, (255, 255, 255), 2)
else:
cv2.putText(im, str(tt), (x + 5, y - 5), font, 1, (255, 255, 255), 2)
if (100-conf) > 67:
cv2.putText(im, str(confstr), (x + 5, y + h - 5), font,1, (0, 255, 0),1 )
elif (100-conf) > 50:
cv2.putText(im, str(confstr), (x + 5, y + h - 5), font, 1, (0, 255, 255), 1)
else:
cv2.putText(im, str(confstr), (x + 5, y + h - 5), font, 1, (0, 0, 255), 1)
attendance = attendance.drop_duplicates(subset=['Id'], keep='first')
cv2.imshow('Attendance', 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"+os.sep+"Attendance_"+date+"_"+Hour+"-"+Minute+"-"+Second+".csv"
attendance.to_csv(fileName, index=False)
print("Attendance Successful")
cam.release()
cv2.destroyAllWindows()
每当我尝试编译我的代码时，我都会看到以下错误：
Traceback (most recent call last):
File "C:\Python\Python39\lib\site-packages\pandas\core\indexes\base.py", line 3080, in get_loc
return self._engine.get_loc(casted_key)
File "pandas\_libs\index.pyx", line 70, in pandas._libs.index.IndexEngine.get_loc
File "pandas\_libs\index.pyx", line 101, in pandas._libs.index.IndexEngine.get_loc
File "pandas\_libs\hashtable_class_helper.pxi", line 4554, in
pandas._libs.hashtable.PyObjectHashTable.get_item
File "pandas\_libs\hashtable_class_helper.pxi", line 4562, in
pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 'Id'
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "I:\image processing\data\fyp\main.py", line 101, in <module>
mainMenu()
File "I:\image processing\data\fyp\main.py", line 47, in mainMenu
RecognizeFaces()
File "I:\image processing\data\fyp\main.py", line 95, in RecognizeFaces
Recognize.recognize_attendence()
File "I:\image processing\data\fyp\Recognize.py", line 38, in recognize_attendence
aa = df.loc[df['Id'] == Id]['Name'].values
File "C:\Python\Python39\lib\site-packages\pandas\core\frame.py", line 3024, in __getitem__
indexer = self.columns.get_loc(key)
File "C:\Python\Python39\lib\site-packages\pandas\core\indexes\base.py", line 3082, in get_loc
raise KeyError(key) from err
KeyError: 'Id'
>>>
