Analysis of the docking method of Baidu AI interface implemented in Java

Analysis of the docking method of using Baidu AI interface in Java

Overview
With the rapid development of artificial intelligence, Baidu AI platform provides a wealth of interfaces to facilitate development Researchers integrate artificial intelligence capabilities into various applications. This article will take the Java language as an example to introduce how to achieve docking with Baidu AI interface through the SDK provided by Baidu AI platform. Specifically, it includes obtaining API Key and Secret Key, introducing SDK dependencies, docking code examples, etc.

1. Get API Key and Secret Key
   First, we need to create an application on Baidu AI open platform and obtain the corresponding API Key and Secret Key. The specific steps are as follows:
2. Register and log in to the Baidu AI open platform (https://ai.baidu.com/).
3. Enter the console and create a new application.
4. On the application details page, you can find the API Key and Secret Key. Be careful to keep these two pieces of information confidential and do not disclose it to others.
5. Introducing SDK dependencies
   In the Java project, by introducing the SDK dependencies provided by Baidu AI, you can quickly build a docking environment with the Baidu AI interface. Take the text recognition interface as an example to demonstrate the steps of introducing SDK dependencies:

6. In the project's pom.xml file, add the following dependencies:

   <dependencies>
     <dependency>
    <groupId>com.baidu.aip</groupId>
    <artifactId>java-sdk</artifactId>
    <version>4.0.0</version>
     </dependency>
   </dependencies>

7. Docking Code example
   The following takes the text recognition interface as an example to show the code example of the docking between Java implementation and Baidu AI interface:

   import com.baidu.aip.ocr.AipOcr;
   import org.json.JSONObject;
   
   public class BaiduAIOCR {
    // 设置APPID/AK/SK
    public static final String APP_ID = "your APP_ID";
    public static final String API_KEY = "your API_KEY";
    public static final String SECRET_KEY = "your SECRET_KEY";
   
    public static void main(String[] args) {
        // 初始化一个AipOcr
        AipOcr client = new AipOcr(APP_ID, API_KEY, SECRET_KEY);
   
        // 调用API之前设置可选参数
        HashMap<String, String> options = new HashMap<>();
        options.put("language_type", "CHN_ENG");
        options.put("detect_direction", "true");
        options.put("detect_language", "true");
        options.put("probability", "false");
   
        // 读取本地图片文件
        String path = "your image path";
        byte[] fileContent = getFileContet(path);
   
        // 调用文字识别接口
        JSONObject res = client.basicGeneral(fileContent, options);
   
        // 解析返回的JSON结果
        System.out.println(res.toString(2));
    }
   
    // 读取本地图片文件
    public static byte[] getFileContent(String filePath) {
        File file = new File(filePath);
        try {
            FileInputStream inputStream = new FileInputStream(file);
            byte[] buffer = new byte[(int) file.length()];
            inputStream.read(buffer);
            inputStream.close();
            return buffer;
        } catch (IOException e) {
            e.printStackTrace();
            return null;
        }
    }
   }

In the above example code, APP_ID, API_KEY, Replace SECRET_KEY with the information you obtained on Baidu AI Open Platform. At the same time, replace "your image path" with the local image path that needs to be recognized.

4. Run and debug
   After completing the above steps, you can run the Java code to call the Baidu AI interface. Note, please keep the network open during operation.

Conclusion
This article introduces the method of connecting Java with Baidu AI interface. It uses the text recognition interface as an example to provide code examples, and explains how to obtain API Key and Secret Key and introduce SDK. Dependencies and other necessary steps. I hope this article can provide some help for developers to understand and successfully use Baidu AI interface.

(Note: The above code examples are written based on Baidu AI Java SDK 4.0.0 version. The latest version may have some subtle differences. Developers are recommended to refer to the latest official documents and SDK documents when using them in practice)

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