Tutorial: Python connects to Huawei Cloud interface to implement image style conversion function

Tutorial: Python connects to Huawei Cloud interface to implement image style conversion function

Introduction:
With the rapid development of deep learning, image style conversion has become increasingly popular in the field of computer vision. The image style conversion service provided by Huawei Cloud has become the first choice of many developers due to its powerful algorithm capabilities and high-performance computing resources. This tutorial will introduce how to use Python to connect to the Huawei Cloud interface to implement the image style conversion function.

Step 1: Create a Huawei Cloud account and project

First, log in to the Huawei Cloud official website and create an account. After successfully logging in, create a project and write down the project ID, which we will use next.

Step 2: Install Python SDK

In the Python environment, we need to install the Huawei Cloud SDK to connect to the Huawei Cloud interface. Use the following command to install Huawei Cloud SDK:

pip install hwsdk

Step 3: Connect to Huawei Cloud interface

In the Python code, we need to introduce the hwsdk module and use AuthClientCreate an authentication client. Next, we need to call the get_token method of AuthClient to authenticate and obtain the access token.

from hwsdk import AuthClient

auth_client = AuthClient()
token = auth_client.get_token(
    ak='<华为云Access Key>',
    sk='<华为云Secret Key>',
    project_id='<华为云项目ID>'
)

Among them, ak and sk are your Huawei Cloud Access Key and Secret Key respectively, and project_id is the previously created project ID.

Step 4: Upload the image to be converted

In the image style conversion task, we need to upload the image to be converted. Use the Image class of the services module of Huawei Cloud SDK to upload and download images. We can use the following code to upload local images to Huawei Cloud:

from hwsdk.services import Image

image_client = Image()
response = image_client.upload(
    token,
    '<本地图像路径>',
    rename_as_image_id=True
)

Where, 86d8f09f67a0afd7f7855d21f21feacb is the local path of the image you want to upload.

Step 5: Start image style conversion

Once the image is uploaded successfully, we can use the ImageStyle class of the services module in Huawei Cloud SDK to perform Image style conversion. The following code shows how to convert an image to an art style:

from hwsdk.services import ImageStyle

image_style_client = ImageStyle()
response = image_style_client.transform(
    token,
    '<图像ID>',
    '<风格ID>',
    '<转换后图像保存路径>'
)

where, 2901d7dac458b961f6662bd2abc81359 is the ID returned from a previously uploaded image, 1c47126b2c029af4f2afe31c260d5f1a is the ID that defines the image style, 2e7f78faef7fe8b5000a2101cca2c714 is the saving path of the converted image.

Step 6: Check the conversion results

After the conversion task is completed, we can convert it through the Image class of the services module of Huawei Cloud SDK The final image is downloaded locally.

response = image_client.download(
    token,
    '<转换后图像URL>',
    '<本地图像保存路径>'
)

Among them, 4c814366e5bcc199406440b315d844c1 is the URL of the converted image file on Huawei Cloud, 4969edfdf5857a5b5af5d5e4bd4d21be is the image Download path to local.

Conclusion:
Through this tutorial, we learned how to use Python to connect to the Huawei Cloud interface to implement the image style conversion function. The image style conversion service provided by Huawei Cloud can not only meet various image processing needs, but also provides powerful algorithm support and high-performance computing resources, allowing developers to more easily implement various image style conversion tasks. Hope this tutorial helps you!

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