Python和OpenCV自制访客识别程序

def TrackingFace(self, image):
    try:
        faces = face_recognition.face_locations(image)
        encodings = face_recognition.face_encodings(image, faces)
        if faces != ():
            i = 0
            for (y, w, h, x), f_code in zip(faces, encodings):
                image = cv2.rectangle(image, (x, y), (w,  h), (0, 0, 255), 2)
                # 获取识别的人脸
                roiImg = image[y:h, x:w]
                if len(self.image_list) > 0:
                    # 看看面部是否与已知人脸相匹配。
                    for j, v in enumerate(self.image_list):
                        # print(f'{j}: {v}')
                        match = face_recognition.compare_faces(
                            [v], f_code, tolerance=0.6)
                        if match[0]:
                            print("找到相同图像")
                            self.flag = True
                            break
                        else:
                            print("未找到相同图像")
                            self.RoiImg(roiImg)
                else:
                    self.image_list.append(f_code)
                    self.RoiImg(roiImg)
                i += 1
    except Exception as e:
        print(str(e))
    return image

def RoiImg(self, image):
    # 将人脸图像加载到右侧QLabel
    im1 = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
    im1 = cv2.putText(im1, self.timestr, (10, image.shape[1] - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 255, 255), 1)
    im2 = QtGui.QImage(im1[:], im1.shape[1], im1.shape[0], im1.shape[1] * 3, QtGui.QImage.Format_RGB888)
    im3 = QtGui.QPixmap(im2).scaled(150, 200)
 
    # 添加新的Label
    label = QLabel()
    label.setFixedSize(60, 100)
    label.setStyleSheet("border:1px solid gray")
    label.setPixmap(im3)
    label.setScaledContents(True)
    count = int(self.scrollArea.width() / 80)
    row = int(self.index / count)
    colum = self.index % count
    self.glay.addWidget(label, row, colum)
    self.index += 1
    self.label_3.setText(str(self.index))

t1 = datetime.strptime(self.timestr, '%Y-%m-%d %H:%M:%S')
t2 = datetime.strptime(timestr0, '%Y-%m-%d %H:%M:%S')
seconds = (t2 - t1).seconds
# print('t1=' + str(t1), 't2=' +str(t2), 'seconds=' + str(seconds))
if seconds > 1:  # 每隔1秒扫描一次人脸
    self.timestr = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
    self.TrackingFace(color_frame)