人工智能的兴起对java框架选型的影响有哪些？

import com.google.api.client.http.HttpRequestInitializer;
import com.google.api.client.http.javanet.NetHttpTransport;
import com.google.api.client.json.JsonFactory;
import com.google.api.client.json.jackson2.JacksonFactory;
import com.google.api.services.vision.v1.Vision;
import com.google.api.services.vision.v1.VisionScopes;
import com.google.auth.http.HttpCredentialsAdapter;
import com.google.auth.oauth2.GoogleCredentials;

public class ImageRecognition {

    private static final String APPLICATION_NAME = "Image Recognition App";
    private static final JsonFactory JSON_FACTORY = new JacksonFactory();
    private static final NetHttpTransport HTTP_TRANSPORT = new NetHttpTransport();

    public static void main(String[] args) throws IOException {
        // Initialize the Google Cloud credentials
        GoogleCredentials credentials = GoogleCredentials.getApplicationDefault()
                .createScoped(VisionScopes.all());
        HttpRequestInitializer requestInitializer = new HttpCredentialsAdapter(
                credentials);

        // Create the Vision API client
        Vision vision = new Vision.Builder(HTTP_TRANSPORT, JSON_FACTORY,
                requestInitializer)
                .setApplicationName(APPLICATION_NAME)
                .build();

        // Load the image to be analyzed
        File imageFile = new File("path/to/image.jpg");
        Image img = new Image().encodeContent(Files.readAllBytes(imageFile.toPath()));
        // Perform the image recognition request
        AnnotateImageRequest request = new AnnotateImageRequest()
                .setImage(img)
                .setFeatures(List.of(new Feature()
                        .setType("LABEL_DETECTION")
                        .setMaxResults(10)));
        BatchAnnotateImagesResponse response = vision.images()
                .annotate(new BatchAnnotateImagesRequest().setRequests(List.of(request)).setBatchSize(10))
                .execute();
        
        // Process the results
        for (ImageAnnotation annotation : response.getResponses().get(0).getImagePropertiesAnnotation().getDominantColors().getColors()) {
            System.out.println(annotation.getColor().getPixelFraction());
            for (ColorInfo info : annotation.getColor().getPixelFraction()) {
                System.out.println(info.getColor().getRed());
            }
        }
    }
}