diff --git a/figures/Arts_arts001.png b/figures/Arts_arts001.png
new file mode 100644
index 0000000000000000000000000000000000000000..17f387bcf090873fb7197c0efe8fffd902ab2fca
Binary files /dev/null and b/figures/Arts_arts001.png differ
diff --git a/figures/Arts_arts002.png b/figures/Arts_arts002.png
new file mode 100644
index 0000000000000000000000000000000000000000..dfcc06843362eaa4043a59f57967237266d29431
Binary files /dev/null and b/figures/Arts_arts002.png differ
diff --git a/figures/Arts_arts003.png b/figures/Arts_arts003.png
new file mode 100644
index 0000000000000000000000000000000000000000..f9b51fb68aadf78d65019e1c63ffcc6437a23294
Binary files /dev/null and b/figures/Arts_arts003.png differ
diff --git a/figures/Arts_as002.png b/figures/Arts_as002.png
new file mode 100644
index 0000000000000000000000000000000000000000..37e325be294d48f319e374bee8504b37716157bd
Binary files /dev/null and b/figures/Arts_as002.png differ
diff --git a/figures/Arts_as003.png b/figures/Arts_as003.png
new file mode 100644
index 0000000000000000000000000000000000000000..851baa2a2c13fdd2422ee92e7978a0873159c0a5
Binary files /dev/null and b/figures/Arts_as003.png differ
diff --git a/figures/Arts_ascendmodel.png b/figures/Arts_ascendmodel.png
new file mode 100644
index 0000000000000000000000000000000000000000..d32b65f56d433c773f446e38cd8050631329c555
Binary files /dev/null and b/figures/Arts_ascendmodel.png differ
diff --git a/figures/Arts_doc003.png b/figures/Arts_doc003.png
new file mode 100644
index 0000000000000000000000000000000000000000..9aa4476cf5fa1e50f71328d3f0718b7a4492ca6b
Binary files /dev/null and b/figures/Arts_doc003.png differ
diff --git a/figures/Arts_dockerPull.png b/figures/Arts_dockerPull.png
new file mode 100644
index 0000000000000000000000000000000000000000..427f80f3eacac0f5e0b8553bf4731aef97820c69
Binary files /dev/null and b/figures/Arts_dockerPull.png differ
diff --git a/figures/Arts_dockerPush.png b/figures/Arts_dockerPush.png
new file mode 100644
index 0000000000000000000000000000000000000000..42e3b0fec6c032002c57983032b7bd22e73fcd20
Binary files /dev/null and b/figures/Arts_dockerPush.png differ
diff --git a/figures/Arts_m001.png b/figures/Arts_m001.png
new file mode 100644
index 0000000000000000000000000000000000000000..c31d6f7bce7a0a7ecbf41d879babedb5952c7eb4
Binary files /dev/null and b/figures/Arts_m001.png differ
diff --git a/figures/Arts_m002.png b/figures/Arts_m002.png
new file mode 100644
index 0000000000000000000000000000000000000000..88ba81b6c109de526b1d425a9f5c6789eaa6c698
Binary files /dev/null and b/figures/Arts_m002.png differ
diff --git a/figures/Arts_m003.png b/figures/Arts_m003.png
new file mode 100644
index 0000000000000000000000000000000000000000..34723ef4a542c4e7513af49d09c93bb358bdec42
Binary files /dev/null and b/figures/Arts_m003.png differ
diff --git a/figures/Arts_ob001.png b/figures/Arts_ob001.png
new file mode 100644
index 0000000000000000000000000000000000000000..7f9bc32b7dd4ff1b89b71d561f8c2cd62cd507b5
Binary files /dev/null and b/figures/Arts_ob001.png differ
diff --git a/figures/Arts_ob002.png b/figures/Arts_ob002.png
new file mode 100644
index 0000000000000000000000000000000000000000..07c0f69ea587a9a61c995c021126e8cafe75a2cc
Binary files /dev/null and b/figures/Arts_ob002.png differ
diff --git a/figures/Arts_tag001.png b/figures/Arts_tag001.png
new file mode 100644
index 0000000000000000000000000000000000000000..fc4657e114b5eaa60723cb4752b55e0101f0222d
Binary files /dev/null and b/figures/Arts_tag001.png differ
diff --git a/figures/Arts_tag002.png b/figures/Arts_tag002.png
new file mode 100644
index 0000000000000000000000000000000000000000..f3eb61574f0644a6bcb4300e4eab9572b40d282a
Binary files /dev/null and b/figures/Arts_tag002.png differ
diff --git a/figures/Arts_tag003.png b/figures/Arts_tag003.png
new file mode 100644
index 0000000000000000000000000000000000000000..f8ff06be9a2dad9b8e8715216f3a44a514e148be
Binary files /dev/null and b/figures/Arts_tag003.png differ
diff --git "a/modelArts\344\275\277\347\224\250\346\214\207\345\215\227.md" "b/modelArts\344\275\277\347\224\250\346\214\207\345\215\227.md"
new file mode 100644
index 0000000000000000000000000000000000000000..c3cd7717e26a70c2bf217961689d92be6d4597c1
--- /dev/null
+++ "b/modelArts\344\275\277\347\224\250\346\214\207\345\215\227.md"
@@ -0,0 +1,126 @@
+# modelArts使用指导
+
+- [准备1 获取modelArts的docker 镜像](# 准备1 获取modelArts的docker 镜像)
+- [准备2 获取一个modelzoo上能用的模型源码](# 准备2 获取一个modelzoo上能用的模型源码)
+- [准备3 上传模型的脚本和所需的数据集](# 准备3 上传模型的脚本和所需的数据集)
+- [创建modelArts训练任务](# 创建modelArts训练任务)
+
+## 准备1 获取modelArts的docker 镜像
+
+确定自己有华为云账号，没有请去注册一个。
+1.登陆华为镜像仓下载 ascend-pytorch-arm-modelarts 镜像
+
+```txt
+https://ascendhub.huawei.com/#/index
+```
+
+<img src=".\figures\Arts_ascendmodel.png" alt="Image_txt" style="zoom:50%;" />
+
+<img src=".\figures\Arts_as002.png" alt="Image_txt" style="zoom:50%;" />
+
+点击下载会提示你使用docker pull和push
+
+2.准备一台安装有docker的机器，且保证磁盘空间由10G以上的空余
+
+
+
+<img src=".\figures\Arts_as003.png" alt="Image_txt" style="zoom:80%;" />
+
+
+
+<img src=".\figures\Arts_dockerPull.png" alt="Image_txt" style="zoom:80%;" />
+
+可能存在如下报错，需要重新，在页面上点击下获取，然后再pull
+
+<img src=".\figures\Arts_doc003.png" alt="Image_txt" style="zoom:100%;" />
+
+3.登陆华为云容器服务，点击客户端上传，根据需求给第二步下载镜像改名用docker  tag命令改名 
+
+```
+https://console.huaweicloud.com/swr/?region=cn-east-3#/app/dashboard
+```
+
+<img src=".\figures\Arts_tag001.png" alt="Image_txt" style="zoom:80%;" />
+
+这里若自己还未存在组织，点击下方请上传，建立一个组织
+
+<img src=".\figures\Arts_tag002.png" alt="Image_txt" style="zoom:80%;" />
+
+<img src=".\figures\Arts_tag003.png" alt="Image_txt" style="zoom:80%;" />
+
+
+
+4.上传第二步获取的docker镜像
+
+<img src=".\figures\Arts_dockerPush.png" alt="Image_txt" style="zoom:80%;" />
+
+## 准备2 获取一个modelzoo上能用的模型源码
+
+在下面的链接中选择一个pytorch的release的模型，这里以ShuffleNetV2为例
+
+```
+https://www.hiascend.com/software/modelzoo
+```
+
+<img src=".\figures\Arts_m001.png" alt="Image_txt" style="zoom:80%;" />
+
+下载脚本，这里重打创建作业处有说明命令使用方式，后面我们会用上。
+
+<img src=".\figures\Arts_m003.png" alt="Image_txt" style="zoom:80%;" />
+
+## 准备3 上传模型的脚本和所需的数据集
+
+1.若没有安装obs，安装obs，在华为云中搜索obs可以下载。使用华为云账号登陆。
+
+<img src=".\figures\Arts_ob001.png" alt="Image_txt" style="zoom:80%;" />
+
+2. 创建桶分别上传模型脚本和数据集，这里我使用的是公共路径obs的数据集，所以没有单独上传数据集
+
+<img src=".\figures\Arts_ob002.png" alt="Image_txt" style="zoom:80%;" />
+
+## 创建modelArts训练任务
+
+1.登陆华为云ModelArts
+
+```
+ https://console.huaweicloud.com/modelarts/?region=cn-north-4&locale=zh-cn#/trainingJobs/1003888/detail
+```
+
+选择创建
+
+<img src=".\figures\Arts_arts001.png" alt="Image_txt" style="zoom:80%;" />
+
+配置如下图
+
+<img src=".\figures\Arts_arts002.png" alt="Image_txt" style="zoom:80%;" />
+
+<img src=".\figures\Arts_arts003.png" alt="Image_txt" style="zoom:80%;" />
+
+这里的运行命令如下作为参考
+
+```bash
+/bin/bash run_train.sh 'obs://workplace/Shufflenetv2_for_PyTorch_1.2_code/' 'Shufflenetv2_for_PyTorch_1.2_code/modelarts/train_start.py' '/tmp/log/training.log' --data_url='obs://ascend-test-dataset/imagenet/' --train_url='obs://workplace/oneOut'
+```
+
+命令分析 
+
+​	'obs://workplace/Shufflenetv2_for_PyTorch_1.2_code/'   是你的obs中存放的 Shufflenetv2 的code位置
+
+   'Shufflenetv2_for_PyTorch_1.2_code/modelarts/train_start.py' 这个脚本中封装了一层 modelarts ，选择里面的train_start.py
+
+--data_url  数据集位置 可以是你自己obs，这里采用了公共目录
+
+--train_url 训练的工作目录，可以填写一个空目录
+
+这个模型前期会把数据集从OBS拷贝到华为云，会比较耗时
+
+
+
+
+
+
+
+
+
+
+