添加状态分类和液面分割

ultralytics_yolo11-main/ultralytics/cfg/models/11/yolo11-cls.yaml

@@ -2,7 +2,7 @@
 # YOLO11-cls image classification model. For Usage examples see https://docs.ultralytics.com/tasks/classify
 
 # Parameters
-nc: 80 # number of classes
+nc: 5 # number of classes
 scales: # model compound scaling constants, i.e. 'model=yolo11n-cls.yaml' will call yolo11-cls.yaml with scale 'n'
   # [depth, width, max_channels]
   n: [0.50, 0.25, 1024] # summary: 151 layers, 1633584 parameters, 1633584 gradients, 3.3 GFLOPs

ultralytics_yolo11-main/ultralytics/cfg/models/11/yolo11-pose.yaml

@@ -3,7 +3,7 @@
 
 # Parameters
 nc: 1 # number of classes
-kpt_shape: [4, 3] # number of keypoints, number of dims (2 for x,y or 3 for x,y,visible)
+kpt_shape: [3, 3] # number of keypoints, number of dims (2 for x,y or 3 for x,y,visible)
 scales: # model compound scaling constants, i.e. 'model=yolo11n-pose.yaml' will call yolo11.yaml with scale 'n'
   # [depth, width, max_channels]
   n: [0.50, 0.25, 1024] # summary: 344 layers, 2908507 parameters, 2908491 gradients, 7.7 GFLOPs