diff --git a/TensorFlow/built-in/cv/image_segmentation/ShapeNet_ID1138_for_TensorFlow/README.md b/TensorFlow/built-in/cv/image_segmentation/ShapeNet_ID1138_for_TensorFlow/README.md
index 4224cdbc9bb76515b7f93e1f885af9aedec3ca56..6e649015414102d7be46aeeab3fce18f30c1e9dd 100644
--- a/TensorFlow/built-in/cv/image_segmentation/ShapeNet_ID1138_for_TensorFlow/README.md
+++ b/TensorFlow/built-in/cv/image_segmentation/ShapeNet_ID1138_for_TensorFlow/README.md
@@ -163,10 +163,13 @@ pip3 install requirements.txt
         
         2.2 单卡训练指令（脚本位于./ShapeNet_ID1138_for_TensorFlow/test/train_full_1p.sh） 
         
+        运行export ASCEND_DEVICE_ID=0 (0~7)以指定单卡训练时使用的卡
+
         ```
-于终端中运行export ASCEND_DEVICE_ID=0 (0~7)以指定单卡训练时使用的卡
         bash train_full_1p.sh --data_path=xx
+        
         数据集应有如下结构（数据切分可能不同），配置data_path时需指定为data这一层，例：--data_path=/home/ShapeNet_dataset
+        
         ├── ShapeNet_dataset
         │   ├── ShapeNet_prepro.hdf5
         │   ├── ShapeNet_training.hdf5