更新data文件路径

data.yaml

@@ -1,24 +0,0 @@
-# 导盲分割数据集 - 从 MIT Indoor 筛选的 14 个核心类别
-# 原始 2573 类别 -> 14 个导盲相关类别
-
-path: /home/rongye/ProgramFiles/Yolo/datasets/indoor_blind
-train: train/images
-val: valid/images
-test: test/images
-
-nc: 14
-names:
-  - floor       # 0: 可行走地面
-  - corridor    # 1: 走廊/通道
-  - sidewalk    # 2: 人行道
-  - chair       # 3: 椅子
-  - table       # 4: 桌子
-  - sofa_bed    # 5: 沙发/床
-  - door        # 6: 门
-  - elevator    # 7: 电梯
-  - stairs      # 8: 楼梯
-  - wall        # 9: 墙壁
-  - person      # 10: 行人
-  - cabinet     # 11: 柜子
-  - trash_can   # 12: 垃圾桶
-  - window      # 13: 窗户/玻璃门

datasets/indoor_blind/data.yaml

@@ -0,0 +1,20 @@
+names:
+- floor
+- corridor
+- sidewalk
+- chair
+- table
+- sofa_bed
+- door
+- elevator
+- stairs
+- wall
+- person
+- cabinet
+- trash_can
+- window
+nc: 14
+path: /home/rongye/ProgramFiles/Yolo/datasets/indoor_blind
+test: test/images
+train: train/images
+val: valid/images

train.py

@@ -6,7 +6,7 @@ model = YOLO("/home/rongye/ProgramFiles/Yolo/yolo11l-seg.pt")
 
 # 开始训练
 results = model.train(
-    data="data.yaml",
+    data="/home/rongye/ProgramFiles/Yolo/datasets/indoor_blind/data.yaml",
     epochs=150,           # 导盲任务建议150轮以确保收敛
     imgsz=640,            # 训练分辨率保持 640
     batch=16,             # 3090 显存大，16-32 均可