更新CRNN,lightCRNN模型，修正pyqt的问号，增加识别框上方的车牌号，更新模型选择列表

main.py

@@ -308,7 +308,7 @@ class MainWindow(QMainWindow):
         method_label.setFont(QFont("Arial", 10))
         
         self.method_combo = QComboBox()
-        self.method_combo.addItems(["CRNN", "LPRNET", "OCR"])
+        self.method_combo.addItems(["CRNN", "LightCRNN", "OCR"])
         self.method_combo.setCurrentText("CRNN")  # 默认选择CRNN
         self.method_combo.currentTextChanged.connect(self.change_recognition_method)
         
@@ -578,7 +578,19 @@ class MainWindow(QMainWindow):
     
     def draw_detections(self, frame):
         """在图像上绘制检测结果"""
-        return self.detector.draw_detections(frame, self.detections)
+        # 获取车牌号列表
+        plate_numbers = []
+        for detection in self.detections:
+            # 矫正车牌图像
+            corrected_image = self.correct_license_plate(detection)
+            # 获取车牌号
+            if corrected_image is not None:
+                plate_number = self.recognize_plate_number(corrected_image, detection['class_name'])
+                plate_numbers.append(plate_number)
+            else:
+                plate_numbers.append("识别失败")
+        
+        return self.detector.draw_detections(frame, self.detections, plate_numbers)
     
     def display_frame(self, frame):
         """显示帧到界面"""
@@ -760,7 +772,7 @@ class MainWindow(QMainWindow):
              # 根据当前选择的识别方法调用相应的函数
              if self.current_recognition_method == "CRNN":
                  from CRNN_part.crnn_interface import LPRNmodel_predict
-             elif self.current_recognition_method == "LPRNET":
+             elif self.current_recognition_method == "LightCRNN":
                  from lightCRNN_part.lightcrnn_interface import LPRNmodel_predict
              elif self.current_recognition_method == "OCR":
                  from OCR_part.ocr_interface import LPRNmodel_predict
@@ -798,7 +810,7 @@ class MainWindow(QMainWindow):
          if method == "CRNN":
              from CRNN_part.crnn_interface import LPRNinitialize_model
              LPRNinitialize_model()
-         elif method == "LPRNET":
+         elif method == "LightCRNN":
              from lightCRNN_part.lightcrnn_interface import LPRNinitialize_model
              LPRNinitialize_model()
          elif method == "OCR":