fix:修复了一些小问题，添加传输图片数据格式为RGB时的转换代码

.gitignore

@@ -89,3 +89,4 @@ fabric.properties
 !/20240410RGBtest1/super-tomato/defect_big.bmp
 !/20240410RGBtest1/super-tomato/defect_mask.bmp
 !/20240410RGBtest1/super-tomato/prediction.png
+/20240529RGBtest3/data/

20240529RGBtest3/classifer.py

@@ -495,6 +495,7 @@ class Data_processing:
         # 设置 S-L 通道阈值并处理图像
         threshold_s_l = 180
         threshold_fore_g_r_t = 20
+        img = cv2.cvtColor(img,cv2.COLOR_RGB2BGR)
         s_l = tomato.extract_s_l(img)
         thresholded_s_l = tomato.threshold_segmentation(s_l, threshold_s_l)
         new_bin_img = tomato.largest_connected_component(thresholded_s_l)
@@ -526,6 +527,7 @@ class Data_processing:
         # 创建PassionFruit类的实例
         pf = Passion_fruit(hue_value=hue_value, hue_delta=hue_delta, value_target=value_target, value_delta=value_delta)
 
+        img = cv2.cvtColor(img,cv2.COLOR_RGB2BGR)
         hsv_image = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
         combined_mask = pf.create_mask(hsv_image)
         combined_mask = pf.apply_morphology(combined_mask)

20240529RGBtest3/main.py

@@ -87,8 +87,8 @@ def main(is_debug=False):
     dp = Data_processing()
 
     _ = detector.predict(np.ones((30, 30, 224), dtype=np.uint16))
-    _, _, _, _, _ =dp.analyze_tomato(cv2.imread(r'D:\project\supermachine--tomato-passion_fruit\20240529RGBtest3\data\tomato_img\bad\71.bmp'))
-    _, _, _, _, _ = dp.analyze_passion_fruit(cv2.imread(r'D:\project\supermachine--tomato-passion_fruit\20240529RGBtest3\data\passion_fruit_img\38.bmp'))
+    # _, _, _, _, _ =dp.analyze_tomato(cv2.imread(r'D:\project\supermachine--tomato-passion_fruit\20240529RGBtest3\data\tomato_img\bad\71.bmp'))
+    # _, _, _, _, _ = dp.analyze_passion_fruit(cv2.imread(r'D:\project\supermachine--tomato-passion_fruit\20240529RGBtest3\data\passion_fruit_img\38.bmp'))
     print('初始化完成')
 
     rgb_receive_name = r'\\.\pipe\rgb_receive'

20240529RGBtest3/utils.py

@@ -6,11 +6,7 @@
 
 
 import shutil
-
 import os
-
-
-
 import win32file
 import win32pipe
 import time