From 2db8ee503027f0b6914193ad3397d731973380b1 Mon Sep 17 00:00:00 2001
From: jelly_111 <244800829@qq.com>
Date: Mon, 5 Dec 2022 16:25:00 +0800
Subject: [PATCH] add readme

---
 .../ShapeNet_ID1138_for_TensorFlow/README.md  | 24 +++++++++----------
 1 file changed, 11 insertions(+), 13 deletions(-)

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 6e6490154..68fe5bf67 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
@@ -119,20 +119,18 @@ pip3 install requirements.txt
   
 
 - 获取数据集后，进行数据预处理，并将预处理后的数据放入模型目录下，在训练脚本中指定数据集路径，可正常使用。数据预处理和最终数据集文件结构示例如下：
-```
-数据预处理，详见：
-./ShapeNet_ID1138_for_TensorFlow/S1_network_dataset_combination.py
-./ShapeNet_ID1138_for_TensorFlow/S1_network_dataset_preparation.py
-
-最终数据集文件结构示例：
-├── ShapeNet_dataset
-│   ├── ShapeNet_prepro.hdf5
-│   ├── ShapeNet_training.hdf5
-则 data_path=./ShapeNet_dataset 即可
-```
-
-
 
+  ```
+  数据预处理，详见：
+  ./ShapeNet_ID1138_for_TensorFlow/S1_network_dataset_combination.py
+  ./ShapeNet_ID1138_for_TensorFlow/S1_network_dataset_preparation.py
+  
+  最终数据集文件结构示例：
+  ├── ShapeNet_dataset
+  │   ├── ShapeNet_prepro.hdf5
+  │   ├── ShapeNet_training.hdf5
+  则 data_path=./ShapeNet_dataset 即可
+  ```
 #### 模型训练
 
 - 单击“立即下载”，并选择合适的下载方式下载源码包。
-- 
Gitee