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HomeJavajavaTutorialHow to use Java and Huawei Cloud Intelligent Video Analysis Interface to implement intelligent recognition

How to use Java and Huawei Cloud Intelligent Video Analysis Interface to implement intelligent identification

Introduction:
With the rapid development of artificial intelligence technology, intelligent video analysis has been widely used in various fields. Huawei Cloud provides a wealth of artificial intelligence services, including intelligent video analysis interfaces. This article will introduce how to use Java language combined with Huawei Cloud's intelligent video analysis interface to implement intelligent recognition functions.

1. Preparation

  1. Register a Huawei Cloud account and activate the AI ​​service
    After registering an account on the Huawei Cloud official website and logging in, activate the AI ​​service and obtain the API Access credentials for the interface.
  2. Install Java development environment
    Make sure that the Java development environment has been installed on the computer. You can use Java SE Development Kit (JDK) to develop Java programs.

2. Obtain API access credentials

  1. Log in to the Huawei Cloud Console and enter the "Artificial Intelligence Open Platform".
  2. Select "Image and Video" - "Intelligent Video Analysis" in the left navigation bar.
  3. After entering the intelligent video analysis interface, click "Use Now".
  4. Create an intelligent video analysis application and generate API access credentials. The generated "Access Key" and "Secret Key" information need to be recorded, which will be used in subsequent code.

3. Create a Java project and import the SDK library

  1. Create a new Java project in the IDE.
  2. Download and import the Huawei Cloud Java SDK. The SDK can be found and downloaded on the Huawei Cloud official website. After importing, just introduce the SDK library into the code.

4. Code Implementation
In the main class in the Java project, you can implement the intelligent recognition function by writing code. The following is a sample code:

import com.huaweicloud.sdk.core.auth.BasicCredentials;
import com.huaweicloud.sdk.core.exception.SdkException;
import com.huaweicloud.sdk.vod.v1.VodClient;
import com.huaweicloud.sdk.vod.v1.model.CreateAssetByFileUploadRequest;
import com.huaweicloud.sdk.vod.v1.model.CreateAssetByFileUploadResponse;

public class IntelligentRecognition {
    public static void main(String[] args) {
        // 创建华为云VOD客户端实例
        VodClient vodClient = VodClient.newBuilder()
                .withCredential(new BasicCredentials("Access Key", "Secret Key"))
                .withRegion("cn-north-4")
                .build();

        // 创建视频资源
        CreateAssetByFileUploadRequest request = new CreateAssetByFileUploadRequest();
        request.setAssetName("example.mp4"); // 视频文件名
        request.setVideoType("MP4"); // 视频类型
        request.setCategoryId(0); // 分类ID
        request.setDescription("Example video"); // 视频描述

        try {
            // 上传视频文件
            CreateAssetByFileUploadResponse response = vodClient.createAssetByFileUpload(request);
            System.out.println("Video asset ID: " + response.getAssetId());
        } catch (SdkException e) {
            System.out.println("Error uploading video: " + e.getMessage());
        }
    }
}

The above code creates a Java class named IntelligentRecognition, which calls the relevant API of Huawei Cloud VOD (Video on Demand) to implement the upload of video resources. First, a VodClient instance is created, then a CreateAssetByFileUploadRequest object is created, the relevant parameters of the video are set, and finally the createAssetByFileUpload method is called to upload the video file and obtain the returned video asset ID.

5. Run the code and verify

  1. Put the above code into the Java project, and modify the Access Key and Secret Key to the actual values.
  2. Run the Java program and wait for the video file to be uploaded.
  3. Find the video resource management page in the Huawei Cloud console and confirm whether the video assets are uploaded successfully.

Conclusion:
This article introduces how to use Java language combined with Huawei Cloud's intelligent video analysis interface to implement intelligent recognition functions. By registering a Huawei Cloud account and activating AI services, obtaining API access credentials, creating a Java project and importing the SDK library, writing code to upload video resources, etc., you can easily use Huawei Cloud's intelligent video analysis interface to implement intelligent identification functions.

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