クライアント ライブラリを使用して画像内のラベルを検出する

<dependencyManagement>   <dependencies>     <dependency>       <groupId>com.google.cloud</groupId>       <artifactId>libraries-bom</artifactId>       <version>26.65.0</version>       <type>pom</type>       <scope>import</scope>     </dependency>   </dependencies> </dependencyManagement>  <dependencies>   <dependency>     <groupId>com.google.cloud</groupId>     <artifactId>google-cloud-vision</artifactId>   </dependency> </dependencies>

implementation 'com.google.cloud:google-cloud-vision:3.68.0'

libraryDependencies += "com.google.cloud" % "google-cloud-vision" % "3.68.0"

 // Sample vision-quickstart uses the Google Cloud Vision API to label an image. package main  import ( 	"context" 	"fmt" 	"log" 	"os"  	vision "cloud.google.com/go/vision/apiv1" )  func main() { 	ctx := context.Background()  	// Creates a client. 	client, err := vision.NewImageAnnotatorClient(ctx) 	if err != nil { 		log.Fatalf("Failed to create client: %v", err) 	} 	defer client.Close()  	// Sets the name of the image file to annotate. 	filename := "../testdata/cat.jpg"  	file, err := os.Open(filename) 	if err != nil { 		log.Fatalf("Failed to read file: %v", err) 	} 	defer file.Close() 	image, err := vision.NewImageFromReader(file) 	if err != nil { 		log.Fatalf("Failed to create image: %v", err) 	}  	labels, err := client.DetectLabels(ctx, image, nil, 10) 	if err != nil { 		log.Fatalf("Failed to detect labels: %v", err) 	}  	fmt.Println("Labels:") 	for _, label := range labels { 		fmt.Println(label.Description) 	} } 

// Imports the Google Cloud client library  import com.google.cloud.vision.v1.AnnotateImageRequest; import com.google.cloud.vision.v1.AnnotateImageResponse; import com.google.cloud.vision.v1.BatchAnnotateImagesResponse; import com.google.cloud.vision.v1.EntityAnnotation; import com.google.cloud.vision.v1.Feature; import com.google.cloud.vision.v1.Feature.Type; import com.google.cloud.vision.v1.Image; import com.google.cloud.vision.v1.ImageAnnotatorClient; import com.google.protobuf.ByteString; import java.nio.file.Files; import java.nio.file.Path; import java.nio.file.Paths; import java.util.ArrayList; import java.util.List;  public class QuickstartSample {   public static void main(String... args) throws Exception {     // Initialize client that will be used to send requests. This client only needs to be created     // once, and can be reused for multiple requests. After completing all of your requests, call     // the "close" method on the client to safely clean up any remaining background resources.     try (ImageAnnotatorClient vision = ImageAnnotatorClient.create()) {        // The path to the image file to annotate       String fileName = "./resources/wakeupcat.jpg";        // Reads the image file into memory       Path path = Paths.get(fileName);       byte[] data = Files.readAllBytes(path);       ByteString imgBytes = ByteString.copyFrom(data);        // Builds the image annotation request       List<AnnotateImageRequest> requests = new ArrayList<>();       Image img = Image.newBuilder().setContent(imgBytes).build();       Feature feat = Feature.newBuilder().setType(Type.LABEL_DETECTION).build();       AnnotateImageRequest request =           AnnotateImageRequest.newBuilder().addFeatures(feat).setImage(img).build();       requests.add(request);        // Performs label detection on the image file       BatchAnnotateImagesResponse response = vision.batchAnnotateImages(requests);       List<AnnotateImageResponse> responses = response.getResponsesList();        for (AnnotateImageResponse res : responses) {         if (res.hasError()) {           System.out.format("Error: %s%n", res.getError().getMessage());           return;         }          for (EntityAnnotation annotation : res.getLabelAnnotationsList()) {           annotation               .getAllFields()               .forEach((k, v) -> System.out.format("%s : %s%n", k, v.toString()));         }       }     }   } }

async function quickstart() {   // Imports the Google Cloud client library   const vision = require('@google-cloud/vision');    // Creates a client   const client = new vision.ImageAnnotatorClient();    // Performs label detection on the image file   const [result] = await client.labelDetection('./resources/wakeupcat.jpg');   const labels = result.labelAnnotations;   console.log('Labels:');   labels.forEach(label => console.log(label.description)); } quickstart();

 # Imports the Google Cloud client library from google.cloud import vision    def run_quickstart() -> vision.EntityAnnotation:     """Provides a quick start example for Cloud Vision."""      # Instantiates a client     client = vision.ImageAnnotatorClient()      # The URI of the image file to annotate     file_uri = "gs://cloud-samples-data/vision/label/wakeupcat.jpg"      image = vision.Image()     image.source.image_uri = file_uri      # Performs label detection on the image file     response = client.label_detection(image=image)     labels = response.label_annotations      print("Labels:")     for label in labels:         print(label.description)      return labels