.idea/License_plate_recognition.iml

@@ -5,8 +5,4 @@
     <orderEntry type="jdk" jdkName="cnm" jdkType="Python SDK" />
     <orderEntry type="sourceFolder" forTests="false" />
   </component>
-  <component name="PyDocumentationSettings">
-    <option name="format" value="PLAIN" />
-    <option name="myDocStringFormat" value="Plain" />
-  </component>
 </module>

LPRNET_part/lpr_interface.py

@@ -333,8 +333,12 @@ def LPRNmodel_predict(image_array):
     
     try:
         # 使用OpenCV调整图像大小到模型要求的尺寸
-        image_array = cv2.resize(image_array, (128, 48))
+        image_array = cv2.resize(image_array, (94, 24))
         print(f"666999图片尺寸: {image_array.shape}")
+        
+        # 显示修正后的图像
+        cv2.imshow('Resized License Plate Image (94x24)', image_array)
+        cv2.waitKey(1)  # 非阻塞显示，允许程序继续执行
         # 预测车牌号
         predicted_text, confidence = lpr_model.predict(image_array)
         

main.py

@@ -761,7 +761,7 @@ class MainWindow(QMainWindow):
              if self.current_recognition_method == "CRNN":
                  from CRNN_part.crnn_interface import LPRNmodel_predict
              elif self.current_recognition_method == "LPRNET":
-                 from LPRNET_part.lpr_interface import LPRNmodel_predict
+                 from lightCRNN_part.lightcrnn_interface import LPRNmodel_predict
              elif self.current_recognition_method == "OCR":
                  from OCR_part.ocr_interface import LPRNmodel_predict
              
@@ -799,7 +799,7 @@ class MainWindow(QMainWindow):
              from CRNN_part.crnn_interface import LPRNinitialize_model
              LPRNinitialize_model()
          elif method == "LPRNET":
-             from LPRNET_part.lpr_interface import LPRNinitialize_model
+             from lightCRNN_part.lightcrnn_interface import LPRNinitialize_model
              LPRNinitialize_model()
          elif method == "OCR":
              from OCR_part.ocr_interface import LPRNinitialize_model