轻量crnn

2025-09-16 11:15:22 +08:00
parent 233ef20ce2
commit 88a80c225c
10 changed files with 7 additions and 7 deletions
--- a/LPRNET_part/ets/1.jpg
+++ b/LPRNET_part/ets/1.jpg
--- a/LPRNET_part/ets/2.jpg
+++ b/LPRNET_part/ets/2.jpg
--- a/LPRNET_part/ets/6ce2ec7dbed6cf3c8403abe2683c57e5.jpg
+++ b/LPRNET_part/ets/6ce2ec7dbed6cf3c8403abe2683c57e5.jpg
--- a/LPRNET_part/LPRNet__iteration_74000.pth
+++ b/LPRNET_part/LPRNet__iteration_74000.pth
--- a/LPRNET_part/ets/c11304d10bcd47911e458398d1ea445d.jpg
+++ b/LPRNET_part/ets/c11304d10bcd47911e458398d1ea445d.jpg
--- a/LPRNET_part/ets/c6ab0fbcfb2b6fbe15c5b3eb9806a28b.jpg
+++ b/LPRNET_part/ets/c6ab0fbcfb2b6fbe15c5b3eb9806a28b.jpg
--- a/LPRNET_part/lpr_interface.py
+++ b/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)