Python+OpenCV人脸识别签到打卡系统实现功能： 1.人员人脸识别并完成签到/签退 2.考勤时间计算 3.保存考勤数据为CSV格式（Excel表格）核心代码MainWindow.pyUI文件加载：class Ui_Dialog(QDialog): def __init__(self): super(Ui_Dialog, self).__init__() loadUi("mainwindow.ui", self) #加载QTUI文件 self.runButton.clicked.connect(self.runSlot) self._new_window = None self.Videocapture_ = None摄像头调用： def refreshAll(self): print("当前调用人俩检测摄像头编号（0为笔记本内置摄像头，1为USB外置摄像头）：") self.Videocapture_ = "0"OutWindow.py获取当前系统时间class Ui_OutputDialog(QDialog): def __init__(self): super(Ui_OutputDialog, self).__init__() loadUi("./outputwindow.ui", self) #加载输出窗体UI #datetime 时间模块 now = QDate.currentDate() current_date = now.toString('ddd dd MMMM yyyy') #时间格式 current_time = datetime.datetime.now().strftime("%I:%M %p") self.Date_Label.setText(current_date) self.Time_Label.setText(current_time) self.image = None签到时间计算 def ElapseList(self,name): with open('Attendance.csv', "r") as csv_file: csv_reader = csv.reader(csv_file, delimiter=',') line_count = 2 Time1 = datetime.datetime.now() Time2 = datetime.datetime.now() for row in csv_reader: for field in row: if field in row: if field == 'Clock In': if row[0] == name: Time1 = (datetime.datetime.strptime(row[1], '%y/%m/%d %H:%M:%S')) self.TimeList1.append(Time1) if field == 'Clock Out': if row[0] == name: Time2 = (datetime.datetime.strptime(row[1], '%y/%m/%d %H:%M:%S')) self.TimeList2.append(Time2)人脸识别部分# 人脸识别部分 faces_cur_frame = face_recognition.face_locations(frame) encodes_cur_frame = face_recognition.face_encodings(frame, faces_cur_frame) for encodeFace, faceLoc in zip(encodes_cur_frame, faces_cur_frame): match = face_pare_faces(encode_list_known, encodeFace, tolerance=0.50) face_dis = face_recognition.face_distance(encode_list_known, encodeFace) name = "unknown" #未知人脸识别为unknown best_match_index = np.argmin(face_dis) if match[best_match_index]: name = class_names[best_match_index].upper() y1, x2, y2, x1 = faceLoc cv2.rectangle(frame, (x1, y1), (x2, y2), (0, 255, 0), 2) cv2.rectangle(frame, (x1, y2 - 20), (x2, y2), (0, 255, 0), cv2.FILLED) cv2.putText(frame, name, (x1 + 6, y2 - 6), cv2.FONT_HERSHEY_COMPLEX, 0.5, (255, 255, 255), 1) mark_attendance(name) return frame签到数据保存与判断# csv表格保存数据 def mark_attendance(name): """ :param name: 人脸识别部分 :return: """ if self.ClockInButton.isChecked(): self.ClockInButton.setEnabled(False) with open('Attendance.csv', 'a') as f: if (name != 'unknown'): #签到判断：是否为已经识别人脸 buttonReply = QMessageBox.question(self, '欢迎 ' + name, '开始签到' , QMessageBox.Yes | QMessageBox.No, QMessageBox.No) if buttonReply == QMessageBox.Yes: date_time_string = datetime.datetime.now().strftime("%y/%m/%d %H:%M:%S") f.writelines(f'\n{name},{date_time_string},Clock In') self.ClockInButton.setChecked(False) self.NameLabel.setText(name) self.StatusLabel.setText('签到') self.HoursLabel.setText('开始签到计时中') self.MinLabel.setText('') self.Time1 = datetime.datetime.now() self.ClockInButton.setEnabled(True) else: print('签到操作失败') self.ClockInButton.setEnabled(True) elif self.ClockOutButton.isChecked(): self.ClockOutButton.setEnabled(False) with open('Attendance.csv', 'a') as f: if (name != 'unknown'): buttonReply = QMessageBox.question(self, '嗨呀 ' + name, '确认签退?', QMessageBox.Yes | QMessageBox.No, QMessageBox.No) if buttonReply == QMessageBox.Yes: date_time_string = datetime.datetime.now().strftime("%y/%m/%d %H:%M:%S") 。