问题遇到的现象和发生背景
最近在跟陈一凡学长做下自己的毕设 遇到问题 了
问题相关代码，请勿粘贴截图
import base64
import cv2
import requests
from PyQt5.QtCore import QTimer
from PyQt5.QtGui import QPixmap
from PyQt5.QtWidgets import QMainWindow, QMessageBox
from cameraVideo import camera
from mainWindow import Ui_MainWindow
from detect import detect_thread
class function_window(Ui_MainWindow,QMainWindow):
'''
初始化函数
'''
def __init__(self):
super(function_window, self).__init__()
self.setupUi(self)
self.label.setScaledContents(True)#设置图像自适应label显示框
self.pushButton.clicked.connect(self.open_Sign)#打开签到事件绑定
self.pushButton_2.clicked.connect(self.close_Sign)#关闭签到事件绑定
self.access_token=self.get_accessToken()#获取Access_token访问令牌，并复制为全局变量
self.start_state=True
'''
打开签到
'''
def open_Sign(self):
if self.start_state==True:
# 启动摄像头
self.cameravideo = camera()
# 启动定时器进行定时，每隔多长时间进行一次获取摄像头数据进行显示
self.timeshow = QTimer(self)
self.timeshow.start(10)
# 每隔10毫秒产生一个信号timeout
self.timeshow.timeout.connect(self.show_cameradata)
self.detect = detect_thread(self.access_token) # 创建线程
self.detect.start() # 启动线程
# 签到500毫秒获取一次,用来获取检测的画面
self.faceshow = QTimer(self)
self.faceshow.start(500)
self.faceshow.timeout.connect(self.get_cameradata)
self.detect.transmit_data.connect(self.get_data)
self.start_state=False
else:
QMessageBox.about(self, "提示", "正在检测，请先关闭！")
'''
关闭签到
'''
def close_Sign(self):
if self.start_state==False:
self.faceshow.stop() # 计时器停止
self.detect.ok = False # 停止run函数运行
self.detect.quit() # 关闭线程
# 关闭定时器，不再获取摄像头的数据
self.timeshow.stop()
self.timeshow.timeout.disconnect(self.show_cameradata)
# 关闭摄像头
self.cameravideo.colse_camera()
self.start_state=True
# 判断定时器是否关闭，关闭，则显示为自己设定的图像
if self.timeshow.isActive() == False:
self.label.setPixmap(QPixmap("image/1.jpg"))
self.plainTextEdit_2.clear()
else:
QMessageBox.about(self, "警告", "关闭失败，存在部分没有关闭成功！")
else:
QMessageBox.about(self, "提示", "请先开始检测！")
#获取人脸检测数据并显示到文本框中
def get_data(self,data):
if data['error_code']!=0:
self.plainTextEdit_2.setPlainText(data['error_msg'])
return
elif data['error_msg'] == 'SUCCESS':
self.plainTextEdit_2.clear()
# 在data字典中键为result对应的值才是返回的检测结果
face_num = data['result']['face_num']
# print(face_num)
if face_num == 0:
self.plainTextEdit_2.setPlainText("当前没有人或人脸出现！")
return
else:
self.plainTextEdit_2.clear()
self.plainTextEdit_2.appendPlainText("检测到人脸！")
self.plainTextEdit_2.appendPlainText("——————————————")
# 人脸信息获取['result']['face_list']是列表，每个数据就是一个人脸信息，需要取出每个列表信息（0-i）
for i in range(face_num):
age = data['result']['face_list'][i]['age'] # 年龄
# print(age)
beauty = data['result']['face_list'][i]['beauty'] # 美观度
gender = data['result']['face_list'][i]['gender']['type'] # 性别
expression = data['result']['face_list'][i]['expression']['type']
face_shape = data['result']['face_list'][i]['face_shape']['type'] # 脸型
glasses = data['result']['face_list'][i]['glasses']['type'] # 是否戴眼镜
emotion = data['result']['face_list'][i]['emotion']['type'] # 情绪
mask = data['result']['face_list'][i]['mask']['type'] # 是否戴口罩
# 往窗口中添加文本，参数就是需要的文本信息
# print(age,gender,expression,beauty,face_shape,emotion,glasses,mask)
self.plainTextEdit_2.appendPlainText("第" + str(i + 1) + "个学生人脸信息:")
self.plainTextEdit_2.appendPlainText("——————————————")
self.plainTextEdit_2.appendPlainText("年龄:" + str(age))
if gender == 'male':
gender = "男"
else:
gender = "女"
self.plainTextEdit_2.appendPlainText("性别:" + str(gender))
self.plainTextEdit_2.appendPlainText("表情:" + str(expression))
self.plainTextEdit_2.appendPlainText("颜值分数:" + str(beauty))
self.plainTextEdit_2.appendPlainText("脸型:" + str(face_shape))
self.plainTextEdit_2.appendPlainText("情绪:" + str(emotion))
if glasses == "none":
glasses="否"
elif glasses == "common":
glasses="是:普通眼镜"
else:
glasses="是:太阳镜"
self.plainTextEdit_2.appendPlainText("是否佩戴眼镜:" + str(glasses))
if mask == 0:
mask = "否"
else:
mask = "是"
self.plainTextEdit_2.appendPlainText("是否佩戴口罩:" + str(mask))
self.plainTextEdit_2.appendPlainText("——————————————")
else:
print("人脸获取失败！")
'''
获取图像，并转换为base64格式
'''
def get_cameradata(self):
camera_data1 = self.cameravideo.read_camera()
# 把摄像头画面转化为一张图片，然后设置编码为base64编码
_, enc = cv2.imencode('.jpg', camera_data1)
base64_image = base64.b64encode(enc.tobytes())
#产生信号，传递数据
self.detect.get_imgdata(base64_image)
'''
摄像头数据显示
'''
def show_cameradata(self):
#获取摄像头数据
pic=self.cameravideo.camera_to_pic()
#在lebel框中显示数据、显示画面
self.label.setPixmap(pic)
'''
获取Access_token访问令牌
'''
def get_accessToken(self):
# client_id 为官网获取的AK， client_secret 为官网获取的SK
host = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=TKGXdKC7WPWeADGHmFBN8xAr&client_secret=lsr1tAuxv3tRGmOgZTGgNyri667dfKGg'
# 进行网络请求，使用get函数
response = requests.get(host)
if response:
data = response.json()
self.access_token = data['access_token']
return self.access_token
else:
QMessageBox(self,"提示","请检查网络连接！")
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版权声明：本文为CSDN博主「陈一月的编程岁月」的原创文章，遵循CC 4.0 BY-SA版权协议，转载请附上原文出处链接及本声明。
原文链接：https://blog.csdn.net/qq_42451251/article/details/108318315
运行结果及报错内容
Traceback (most recent call last):
File "E:\Program Files (x86)\Python\BaiduAI\function_window.py", line 74, in get_data
self.plainTextEdit_2.clear()
AttributeError: 'function_window' object has no attribute 'plainTextEdit_2'
Process finished with exit code -1073740791 (0xC0000409)
我的解答思路和尝试过的方法
改了下函数名 也没用
我想要达到的结果
在人脸识别后能显示文本数据
