From 83f2cd4873fde4cf672eff67342cca701a538733 Mon Sep 17 00:00:00 2001
From: ms_yan <6576637+ms_yan@user.noreply.gitee.com>
Date: Fri, 31 Jul 2020 09:25:39 +0800
Subject: [PATCH] add comment for variable Data_dir

---
 .../use/data_preparation/data_processing_and_augmentation.md  | 4 ++++
 .../use/data_preparation/data_processing_and_augmentation.md  | 4 ++++
 2 files changed, 8 insertions(+)

diff --git a/tutorials/source_en/use/data_preparation/data_processing_and_augmentation.md b/tutorials/source_en/use/data_preparation/data_processing_and_augmentation.md
index 3a861abe..f11336ee 100644
--- a/tutorials/source_en/use/data_preparation/data_processing_and_augmentation.md
+++ b/tutorials/source_en/use/data_preparation/data_processing_and_augmentation.md
@@ -282,6 +282,8 @@ Data augmentation requires the `map` function. For details about how to use the
     ```
 2. Define data augmentation operators. The following uses `Resize` as an example:
     ```python
+    # path to imagefolder directory. This directory needs to contain sub-directories which contain the images
+    DATA_DIR = "/path/to/imagefolder_directory"
     dataset = ds.ImageFolderDatasetV2(DATA_DIR, decode=True)  # Decode images. 
     resize_op = transforms.Resize(size=(500,500), interpolation=Inter.LINEAR)
     dataset.map(input_columns="image", operations=resize_op)
@@ -308,6 +310,8 @@ Figure 2: Image after its size is reset
     ```
 2. Define data augmentation operators and use the `ComposeOp` API to combine multiple data augmentation operations. The following uses `RandomCrop` as an example:
     ```python
+    # path to imagefolder directory. This directory needs to contain sub-directories which contain the images
+    DATA_DIR = "/path/to/imagefolder_directory"
     dataset = ds.ImageFolderDatasetV2(DATA_DIR)
 
     transforms_list = [
diff --git a/tutorials/source_zh_cn/use/data_preparation/data_processing_and_augmentation.md b/tutorials/source_zh_cn/use/data_preparation/data_processing_and_augmentation.md
index 277da870..c4ff2c70 100644
--- a/tutorials/source_zh_cn/use/data_preparation/data_processing_and_augmentation.md
+++ b/tutorials/source_zh_cn/use/data_preparation/data_processing_and_augmentation.md
@@ -282,6 +282,8 @@ MindSpore提供`c_transforms`模块以及`py_transforms`模块函数供用户进
     ```
 2. 定义数据增强算子，以`Resize`为例：
     ```python
+    # path to imagefolder directory. This directory needs to contain sub-directories which contain the images
+    DATA_DIR = "/path/to/imagefolder_directory"
     dataset = ds.ImageFolderDatasetV2(DATA_DIR, decode=True)  # Decode images. 
     resize_op = transforms.Resize(size=(500,500), interpolation=Inter.LINEAR)
     dataset.map(input_columns="image", operations=resize_op)
@@ -308,6 +310,8 @@ MindSpore提供`c_transforms`模块以及`py_transforms`模块函数供用户进
     ```
 2. 定义数据增强算子，通过`ComposeOp`接口将多个数据增强组合使用, 以`RandomCrop`为例：
     ```python
+    # path to imagefolder directory. This directory needs to contain sub-directories which contain the images
+    DATA_DIR = "/path/to/imagefolder_directory"
     dataset = ds.ImageFolderDatasetV2(DATA_DIR)
 
     transforms_list = [
-- 
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