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diff --git a/test_lpr_real_images.py b/test_lpr_real_images.py
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+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+"""
+LPRNet接口真实图片测试脚本
+测试LPRNET_part目录下的真实车牌图片
+"""
+
+import cv2
+import numpy as np
+import os
+from LPRNET_part.lpr_interface import LPRNinitialize_model, LPRNmodel_predict
+
+def test_real_images():
+    """
+    测试LPRNET_part目录下的真实车牌图片
+    """
+    print("=== LPRNet真实图片测试 ===")
+    
+    # 初始化模型
+    print("1. 初始化LPRNet模型...")
+    success = LPRNinitialize_model()
+    if not success:
+        print("模型初始化失败！")
+        return
+    
+    # 获取LPRNET_part目录下的图片文件
+    lprnet_dir = "LPRNET_part"
+    image_files = []
+    
+    if os.path.exists(lprnet_dir):
+        for file in os.listdir(lprnet_dir):
+            if file.lower().endswith(('.jpg', '.jpeg', '.png', '.bmp')):
+                image_files.append(os.path.join(lprnet_dir, file))
+    
+    if not image_files:
+        print("未找到图片文件！")
+        return
+    
+    print(f"2. 找到 {len(image_files)} 个图片文件")
+    
+    # 测试每个图片
+    for i, image_path in enumerate(image_files, 1):
+        print(f"\n--- 测试图片 {i}: {os.path.basename(image_path)} ---")
+        
+        try:
+            # 使用支持中文路径的方式读取图片
+            image = cv2.imdecode(np.fromfile(image_path, dtype=np.uint8), cv2.IMREAD_COLOR)
+            
+            if image is None:
+                print(f"无法读取图片: {image_path}")
+                continue
+            
+            print(f"图片尺寸: {image.shape}")
+            
+            # 进行预测
+            result = LPRNmodel_predict(image)
+            print(f"识别结果: {result}")
+            print(f"识别车牌号: {''.join(result)}")
+            
+        except Exception as e:
+            print(f"处理图片 {image_path} 时出错: {e}")
+            import traceback
+            traceback.print_exc()
+    
+    print("\n=== 测试完成 ===")
+
+def test_image_loading():
+    """
+    测试图片加载方式
+    """
+    print("\n=== 图片加载测试 ===")
+    
+    lprnet_dir = "LPRNET_part"
+    
+    if os.path.exists(lprnet_dir):
+        for file in os.listdir(lprnet_dir):
+            if file.lower().endswith(('.jpg', '.jpeg', '.png', '.bmp')):
+                image_path = os.path.join(lprnet_dir, file)
+                print(f"\n测试文件: {file}")
+                
+                # 方法1: 普通cv2.imread
+                img1 = cv2.imread(image_path)
+                print(f"cv2.imread结果: {img1 is not None}")
+                
+                # 方法2: 支持中文路径的方式
+                try:
+                    img2 = cv2.imdecode(np.fromfile(image_path, dtype=np.uint8), cv2.IMREAD_COLOR)
+                    print(f"cv2.imdecode结果: {img2 is not None}")
+                    if img2 is not None:
+                        print(f"图片尺寸: {img2.shape}")
+                except Exception as e:
+                    print(f"cv2.imdecode失败: {e}")
+
+if __name__ == "__main__":
+    # 首先测试图片加载
+    test_image_loading()
+    
+    # 然后测试完整的识别流程
+    test_real_images()
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