Tutorial on the use of Huawei cloud modelarts (with detailed illustrations)

1:  Register Huawei cloud account

Huawei cloud official website ：

Build an intelligent world cloud base - Hua Wei Yun  (huaweicloud.com)

Click on the top right corner to register

Fill in relevant information and register successfully , open ModelArts Console

Click add shortcut , Find AI options ModelArts, Click add collection ,ModelArts Will be displayed in the left column , Convenient for future use .

Click on ModelArts You can enter the relevant page .

2:  Request access key （ Can be used for OBS Browser+ Sign in ）

First click on my voucher in the upper right corner , Then click access key and click add access key  , Fill in the description and click OK . Download immediately after creation , There will be login in the downloaded file ID With the code  .

 

3:  establish OBS bucket

And then in OBS Browser+ Log in and create bucket

OBS Browser+ Download address

download OBS Browser+_ Object storage service  OBS_OBS Browser+_ Hua Wei Yun  (huaweicloud.com)

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4:  to grant authorization ModelArts

go back to ModelArts Console , Find global configuration , Click Add authorization .

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When accessing the authorization page , Select new delegation and ordinary users , And then click “ establish ”.

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5:  Import dataset

（1） Directly through AI Gallery download

Enter... From the console AI Gallery, Click on the data set of the asset Mart in the upper left , Look inside for the data set you want .

 

After selecting the dataset , Click to download

Select target location （ You need to create some folders in the previously created bucket ） Click ok .

 （2） Use your existing data set

stay OBS Browser+ Upload the data set in .

6:  Autonomous Learning

Then you can enter the formal study

We take object detection and image classification as an example

6.1  Object detection

Fill in the necessary information , Click create project .

If the picture is not marked , Each picture needs to be marked one by one , After marking, click to start training .

 

 

After waiting patiently , After training , Click the deployment .

If you encounter this error , In the console  > Deploy online  >  Online services , Delete the deployed free service .

After successful deployment , Upload pictures locally , Forecast view effect （ Don't forget to stop deploying , If you don't stop the deployment, you will always be billed ）.

  The following is a partial display of the object detection results

 

 

6.2  Image classification

Create project

Start training

  Deploy online

 

  Predicted results