From 57ab050b17d34f59fb581fb828a84c475fd124f0 Mon Sep 17 00:00:00 2001
From: ms_yan <6576637+ms_yan@user.noreply.gitee.com>
Date: Wed, 29 Jul 2020 09:50:20 +0800
Subject: [PATCH] repair tutorial import problem

---
 .../use/data_preparation/data_processing_and_augmentation.md   | 3 +--
 .../source_en/use/data_preparation/loading_the_datasets.md     | 1 +
 .../use/data_preparation/data_processing_and_augmentation.md   | 3 +--
 .../source_zh_cn/use/data_preparation/loading_the_datasets.md  | 1 +
 4 files changed, 4 insertions(+), 4 deletions(-)

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 b3fe180a5b..3a861abe2a 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
@@ -276,9 +276,9 @@ Data augmentation requires the `map` function. For details about how to use the
 
 1. Import the module to the code.
     ```python
+    from mindspore.dataset.transforms.vision import Inter
     import mindspore.dataset.transforms.vision.c_transforms as transforms
     import matplotlib.pyplot as plt
-    import matplotlib.image as mpimg
     ```
 2. Define data augmentation operators. The following uses `Resize` as an example:
     ```python
@@ -305,7 +305,6 @@ Figure 2: Image after its size is reset
     ```python
     import mindspore.dataset.transforms.vision.py_transforms as transforms
     import matplotlib.pyplot as plt
-    import matplotlib.image as mpimg
     ```
 2. Define data augmentation operators and use the `ComposeOp` API to combine multiple data augmentation operations. The following uses `RandomCrop` as an example:
     ```python
diff --git a/tutorials/source_en/use/data_preparation/loading_the_datasets.md b/tutorials/source_en/use/data_preparation/loading_the_datasets.md
index 4ffaf9de19..955183815b 100644
--- a/tutorials/source_en/use/data_preparation/loading_the_datasets.md
+++ b/tutorials/source_en/use/data_preparation/loading_the_datasets.md
@@ -61,6 +61,7 @@ To read a dataset using the `MindDataset` object, perform the following steps:
 
 1. Create `MindDataset` for reading data.
     ```python
+    import os
     CV_FILE_NAME = os.path.join(MODULE_PATH, "./imagenet.mindrecord")
     data_set = ds.MindDataset(dataset_file=CV_FILE_NAME)
     ```
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 fad8413cfd..277da870e0 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
@@ -276,9 +276,9 @@ MindSpore提供`c_transforms`模块以及`py_transforms`模块函数供用户进
 
 1. 将该模块引入进代码。
     ```python
+    from mindspore.dataset.transforms.vision import Inter
     import mindspore.dataset.transforms.vision.c_transforms as transforms
     import matplotlib.pyplot as plt
-    import matplotlib.image as mpimg
     ```
 2. 定义数据增强算子，以`Resize`为例：
     ```python
@@ -305,7 +305,6 @@ MindSpore提供`c_transforms`模块以及`py_transforms`模块函数供用户进
     ```python
     import mindspore.dataset.transforms.vision.py_transforms as transforms
     import matplotlib.pyplot as plt
-    import matplotlib.image as mpimg
     ```
 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
diff --git a/tutorials/source_zh_cn/use/data_preparation/loading_the_datasets.md b/tutorials/source_zh_cn/use/data_preparation/loading_the_datasets.md
index 26ddc142db..2f1a0ae827 100644
--- a/tutorials/source_zh_cn/use/data_preparation/loading_the_datasets.md
+++ b/tutorials/source_zh_cn/use/data_preparation/loading_the_datasets.md
@@ -61,6 +61,7 @@ MindSpore天然支持读取MindSpore数据格式——`MindRecord`存储的数
 
 1. 创建`MindDataset`，用于读取数据。
     ```python
+    import os
     CV_FILE_NAME = os.path.join(MODULE_PATH, "./imagenet.mindrecord")
     data_set = ds.MindDataset(dataset_file=CV_FILE_NAME)
     ```
-- 
Gitee