diff --git a/prt/.txt b/prt/.txt
index c21e8f7..e5ae645 100644
--- a/prt/.txt
+++ b/prt/.txt
@@ -78,3 +78,7 @@ R 0.643 0.640 0.629 0.623 0.617 0.613 0.606 0.603 0.593 0.585 0.574 0.571 0.568
 P 0.700 0.710 0.720 0.730 0.740 0.750 0.760 0.770 0.780 0.790 0.800 0.810 0.820 0.830 0.840 0.850 0.860 0.870 0.880 0.890 0.900 0.910 0.920 0.930 0.940 0.950 0.960 0.970 0.980 0.990 
 T 0.005 0.005 0.005 0.005 0.005 0.005 0.005 0.006 0.006 0.006 0.007 0.007 0.008 0.009 0.009 0.010 0.013 0.018 0.021 0.023 0.026 0.028 0.035 0.038 0.039 0.042 0.049 0.052 0.065 0.088 
 R 0.984 0.984 0.984 0.984 0.984 0.984 0.984 0.984 0.984 0.984 0.984 0.984 0.984 0.984 0.984 0.984 0.984 0.984 0.984 0.984 0.984 0.984 0.984 0.984 0.984 0.984 0.984 0.984 0.984 0.984 
+0
+P 0.700 0.710 0.720 0.730 0.740 0.750 0.760 0.770 0.780 0.790 0.800 0.810 0.820 0.830 0.840 0.850 0.860 0.870 0.880 0.890 0.900 0.910 0.920 0.930 0.940 0.950 0.960 0.970 0.980 0.990 
+T 0.060 0.063 0.068 0.071 0.077 0.081 0.087 0.091 0.097 0.104 0.109 0.116 0.124 0.130 0.140 0.150 0.160 0.171 0.184 0.196 0.212 0.228 0.247 0.271 0.291 0.315 0.341 0.367 0.411 0.481 
+R 0.918 0.917 0.914 0.912 0.908 0.905 0.903 0.902 0.900 0.898 0.895 0.893 0.890 0.888 0.885 0.881 0.879 0.879 0.876 0.873 0.869 0.866 0.862 0.857 0.853 0.849 0.843 0.835 0.824 0.809 
diff --git a/ultralytics/data/utils.py b/ultralytics/data/utils.py
index c0a0773..3085d97 100644
--- a/ultralytics/data/utils.py
+++ b/ultralytics/data/utils.py
@@ -42,7 +42,8 @@ PIN_MEMORY = str(os.getenv("PIN_MEMORY", True)).lower() == "true"  # global pin_
 
 def img2label_paths(img_paths):
     """Define label paths as a function of image paths."""
-    sa, sb = f"{os.sep}images{os.sep}", f"{os.sep}labels{os.sep}"  # /images/, /labels/ substrings
+    # sa, sb = f"{os.sep}images{os.sep}", f"{os.sep}labels{os.sep}"  # /images/, /labels/ substrings
+    sa, sb = f"{os.sep}images{os.sep}", f"{os.sep}labels_class2{os.sep}"  # /images/, /labels/ substrings
     return [sb.join(x.rsplit(sa, 1)).rsplit(".", 1)[0] + ".txt" for x in img_paths]
 
 
diff --git a/ultralytics/models/yolo/detect/val.py b/ultralytics/models/yolo/detect/val.py
index f784cac..77d06cc 100644
--- a/ultralytics/models/yolo/detect/val.py
+++ b/ultralytics/models/yolo/detect/val.py
@@ -7,6 +7,7 @@ import cv2
 import numpy as np
 import torch
 
+
 from ultralytics.data import build_dataloader, build_yolo_dataset, converter
 from ultralytics.engine.validator import BaseValidator
 from ultralytics.utils import LOGGER, ops
@@ -145,7 +146,15 @@ class DetectionValidator(BaseValidator):
             # Predictions
             if self.args.single_cls:
                 pred[:, 5] = 0
+            
+            # =======Targets 2 分类======
+            column = pred[:,5]
+            condition2 = (column != 10)
+            pred[:,5][condition2] = 0
+            # ===========================
+
             predn = self._prepare_pred(pred, pbatch)
+
             stat["conf"] = predn[:, 4]
             stat["pred_cls"] = predn[:, 5]
 
diff --git a/ultralytics/utils/img_joint.py b/ultralytics/utils/img_joint.py
index 889491e..f567ad2 100644
--- a/ultralytics/utils/img_joint.py
+++ b/ultralytics/utils/img_joint.py
@@ -41,10 +41,10 @@ def merge_imgs(path1, path2, save_path):
 # path1 = 'predict_labels110_0524/'
 # path2 = 'predict_labels110_0613/'
 
-path1 = '/home/lc/ieemoo-ai-gift/confusion_gift_cls4_0.45/FN/FN_3'
-path2 = '/home/lc/ieemoo-ai-gift/confusion_gift_cls4_0.45/allBox/allBox_1'
+path1 = '/home/lc/ieemoo-ai-gift/confusion_gift_cls2_0.45/FP_bg/FP_bg_1'
+path2 = '/home/lc/ieemoo-ai-gift/confusion_gift_cls2_0.45/allBox/allBox_1'
 
 #save_path = '/home/yujia/yj/yolov5-6.1/0518_cls10_v5s_new_delTP0.5/labelFn_5_allBox_merge/'
-save_path = '/home/lc/ieemoo-ai-gift/confusion_gift_cls4_0.45/FN/FN_3_joint/'
+save_path = '/home/lc/ieemoo-ai-gift/confusion_gift_cls2_0.45/FP_bg/FP_bg_1_joint/'
 # os.makedirs(save_path, exist_ok=True)
 merge_imgs(path1, path2, save_path)
diff --git a/val.py b/val.py
index ad783c6..890d3a7 100644
--- a/val.py
+++ b/val.py
@@ -1,4 +1,4 @@
 from ultralytics import YOLOv10
 
-model = YOLOv10('runs/detect/train/weights/best_gift_v10n.pt')
+model = YOLOv10('/home/lc/ieemoo-ai-gift/runs/detect/train/weights/best_gift_v10n.pt')
 metrics = model.val(batch=1, data='gift.yaml', imgsz=224)