


Tutorial: Python connects to Huawei Cloud interface to implement intelligent image pornographic identification function
Tutorial: Python connects to Huawei Cloud interface to implement intelligent image pornographic identification function
In today’s digital era, the processing and analysis of image information has become increasingly important. The intelligent image pornographic identification technology aims to automatically identify pornographic content in images through computer vision technology, thereby better protecting the health of users and the network environment. Huawei Cloud provides a powerful intelligent image pornographic identification service. With the help of Python programming language, this article will introduce how to use Python to connect to the Huawei Cloud interface to realize the intelligent image pornographic identification function.
- Register a Huawei Cloud account
First, visit the Huawei Cloud official website (https://www.huaweicloud.com/) and register a new Huawei Cloud account. If If you already have an account, you can log in directly.
- Create pornography detection service
After logging in to your Huawei Cloud account, enter the console page. On the console page, select the "Image" subcategory under the "Artificial Intelligence" category, find "Image Recognition-Pornography Service", and click to enter.
On the pornographic identification service page, click the "Buy Now" button, select the version and specifications that suit your needs, and complete the purchase.
- Get API Key
After the purchase is completed, return to the console page, select "Identity and Access Management (IAM)" in the left navigation bar, and then select "Manage access keys" and click "Create access keys".
In the pop-up window, Access Key ID and Access Key Secret will appear. This pair of keys will be used to connect to the Huawei Cloud API.
- Install Python SDK
To connect to Huawei Cloud in Python, you need to install the Python SDK of Huawei Cloud. You can use the pip command to install it. Enter the following command on the command line:
pip install huaweicloud-sdk-python
After successful installation, you can import the modules in the SDK to use the Huawei Cloud interface.
- Write Python code
Use any text editor to create a new Python file, name it "image_porn_detection.py", and write the following code:
from huaweicloud_sdk_core.auth.credentials import BasicCredentials from huaweicloud_sdk_ivs.v2 import * # 配置API密钥 credentials = BasicCredentials('<Access Key ID>', '<Access Key Secret>', project_id='<Project ID>', region='cn-north-4') # 创建连接 config = Configuration(credentials=credentials) connect = IvsClient.new_builder() .with_configuration(config) .build() # 读取图像文件 with open('<Image File Path>', 'rb') as file: img = file.read() # 调用鉴黄接口 request = RunCheckResultRequest(image=img) response = connect.run_check_result(request) # 解析结果 if response.result == 0: print('图像未检测到色情内容') else: print('图像检测到色情内容') for label in response.labels: print('标签:%s,置信度:%s' % (label.label, label.suggestion))
Please change <Access Key ID>
, <Access Key Secret>
, <Project ID>
and < in the code ;Image File Path>
Replace with your actual value.
- Run the code
After saving and closing the "image_porn_detection.py" file, switch to the directory where the file is located on the command line, and then run the following command:
Thepython image_porn_detection.py
code will read the image data from the specified image file and call Huawei Cloud's pornographic identification interface for analysis. Analysis results will be output to the command line interface.
Through this tutorial, we learned how to use Python to connect to Huawei Cloud's pornographic identification service to implement the intelligent image pornographic identification function. In the future, the development of intelligent image pornographic detection technology will play an important role in social networks, online entertainment and Internet protection.
The above is the detailed content of Tutorial: Python connects to Huawei Cloud interface to implement intelligent image pornographic identification function. For more information, please follow other related articles on the PHP Chinese website!

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