<dependencyManagement>  <dependencies>    <dependency>      <groupId>com.google.cloud</groupId>      <artifactId>libraries-bom</artifactId>      <version>26.76.0</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:3.83.0'

libraryDependencies+="com.google.cloud"%"google-cloud-vision"%"3.83.0"

#include"google/cloud/vision/v1/image_annotator_client.h"#include <iostream>intmain(intargc,char*argv[])try{autoconstexprkDefaultUri="gs://cloud-samples-data/vision/label/wakeupcat.jpg";if(argc >2){std::cerr <<"Usage: " <<argv[0] <<" [gcs-uri]\n"              <<"  The gcs-uri must be in gs://... format. It defaults to "              <<kDefaultUri <<"\n";return1;}autouri=std::string{argc==2?argv[1]:kDefaultUri};namespacevision=::google::cloud::vision_v1;autoclient=vision::ImageAnnotatorClient(vision::MakeImageAnnotatorConnection());// Define the image we want to annotategoogle::cloud::vision::v1::Imageimage;image.mutable_source()->set_image_uri(uri);// Create a request to annotate this image with Request text annotations for a// file stored in GCS.google::cloud::vision::v1::AnnotateImageRequestrequest;*request.mutable_image()=std::move(image);request.add_features()->set_type(google::cloud::vision::v1::Feature::TEXT_DETECTION);google::cloud::vision::v1::BatchAnnotateImagesRequestbatch_request;*batch_request.add_requests()=std::move(request);autobatch=client.BatchAnnotateImages(batch_request);if(!batch)throwstd::move(batch).status();// Find the longest annotation and print itautoresult=std::string{};for(autoconst&response:batch->responses()){for(autoconst&annotation:response.text_annotations()){if(result.size() <annotation.description().size()){result=annotation.description();}}}std::cout <<"The image contains this text: " <<result <<"\n";return0;}catch(google::cloud::Statusconst&status){std::cerr <<"google::cloud::Status thrown: " <<status <<"\n";return1;}

import("context""fmt""io"vision"cloud.google.com/go/vision/apiv1""cloud.google.com/go/vision/v2/apiv1/visionpb")// getSimilarProductsURI searches for products from a product set similar to products in an image file on GCS.funcgetSimilarProductsURI(wio.Writer,projectIDstring,locationstring,productSetIDstring,productCategorystring,imageURIstring,filterstring)error{ctx:=context.Background()c,err:=vision.NewImageAnnotatorClient(ctx)iferr!=nil{returnfmt.Errorf("NewImageAnnotatorClient: %w",err)}deferc.Close()image:=vision.NewImageFromURI(imageURI)ictx:=&visionpb.ImageContext{ProductSearchParams:&visionpb.ProductSearchParams{ProductSet:fmt.Sprintf("projects/%s/locations/%s/productSets/%s",projectID,location,productSetID),ProductCategories:[]string{productCategory},Filter:filter,},}response,err:=c.ProductSearch(ctx,image,ictx)iferr!=nil{returnfmt.Errorf("ProductSearch: %w",err)}fmt.Fprintf(w,"Product set index time:\n")fmt.Fprintf(w,"seconds: %d\n",response.IndexTime.Seconds)fmt.Fprintf(w,"nanos: %d\n",response.IndexTime.Nanos)fmt.Fprintf(w,"Search results:\n")for_,result:=rangeresponse.Results{fmt.Fprintf(w,"Score(Confidence): %f\n",result.Score)fmt.Fprintf(w,"Image name: %s\n",result.Image)fmt.Fprintf(w,"Prodcut name: %s\n",result.Product.Name)fmt.Fprintf(w,"Product display name: %s\n",result.Product.DisplayName)fmt.Fprintf(w,"Product labels: %s\n",result.Product.ProductLabels)}returnnil}

/** * Search similar products to image in local file. * * @param projectId - Id of the project. * @param computeRegion - Region name. * @param productSetId - Id of the product set. * @param productCategory - Category of the product. * @param filePath - Local file path of the image to be searched * @param filter - Condition to be applied on the labels. Example for filter: (color = red OR *     color = blue) AND style = kids It will search on all products with the following labels: *     color:red AND style:kids color:blue AND style:kids * @throws IOException - on I/O errors. */publicstaticvoidgetSimilarProductsFile(StringprojectId,StringcomputeRegion,StringproductSetId,StringproductCategory,StringfilePath,Stringfilter)throwsIOException{try(ImageAnnotatorClientqueryImageClient=ImageAnnotatorClient.create()){// Get the full path of the product set.StringproductSetPath=ProductSetName.format(projectId,computeRegion,productSetId);// Read the image as a stream of bytes.FileimgPath=newFile(filePath);byte[]content=Files.readAllBytes(imgPath.toPath());// Create annotate image request along with product search feature.FeaturefeaturesElement=Feature.newBuilder().setType(Type.PRODUCT_SEARCH).build();// The input image can be a HTTPS link or Raw image bytes.// Example:// To use HTTP link replace with below code//  ImageSource source = ImageSource.newBuilder().setImageUri(imageUri).build();//  Image image = Image.newBuilder().setSource(source).build();Imageimage=Image.newBuilder().setContent(ByteString.copyFrom(content)).build();ImageContextimageContext=ImageContext.newBuilder().setProductSearchParams(ProductSearchParams.newBuilder().setProductSet(productSetPath).addProductCategories(productCategory).setFilter(filter)).build();AnnotateImageRequestannotateImageRequest=AnnotateImageRequest.newBuilder().addFeatures(featuresElement).setImage(image).setImageContext(imageContext).build();List<AnnotateImageRequest>requests=Arrays.asList(annotateImageRequest);// Search products similar to the image.BatchAnnotateImagesResponseresponse=queryImageClient.batchAnnotateImages(requests);List<Result>similarProducts=response.getResponses(0).getProductSearchResults().getResultsList();System.out.println("Similar Products: ");for(Resultproduct:similarProducts){System.out.println(String.format("\nProduct name: %s",product.getProduct().getName()));System.out.println(String.format("Product display name: %s",product.getProduct().getDisplayName()));System.out.println(String.format("Product description: %s",product.getProduct().getDescription()));System.out.println(String.format("Score(Confidence): %s",product.getScore()));System.out.println(String.format("Image name: %s",product.getImage()));}}}

// Imports the Google Cloud client libraryconstvision=require('@google-cloud/vision');// Creates a clientconstproductSearchClient=newvision.ProductSearchClient();constimageAnnotatorClient=newvision.ImageAnnotatorClient();asyncfunctiongetSimilarProductsGcs(projectId,location,productSetId,productCategory,filePath,filter){/**   * TODO(developer): Uncomment the following line before running the sample.   */// const projectId = 'Your Google Cloud project Id';// const location = 'A compute region name';// const productSetId = 'Id of the product set';// const productCategory = 'Category of the product';// const filePath = 'Local file path of the image to be searched';// const filter = 'Condition to be applied on the labels';constproductSetPath=productSearchClient.productSetPath(projectId,location,productSetId);constrequest={// The input image can be a GCS link or HTTPS link or Raw image bytes.// Example:// To use GCS link replace with below code// image: {source: {gcsImageUri: filePath}}// To use HTTP link replace with below code// image: {source: {imageUri: filePath}}image:{source:{gcsImageUri:filePath}},features:[{type:'PRODUCT_SEARCH'}],imageContext:{productSearchParams:{productSet:productSetPath,productCategories:[productCategory],filter:filter,},},};console.log(request.image);const[response]=awaitimageAnnotatorClient.batchAnnotateImages({requests:[request],});console.log('Search Image:',filePath);console.log('\nSimilar product information:');constresults=response['responses'][0]['productSearchResults']['results'];results.forEach(result=>{console.log('Product id:',result['product'].name.split('/').pop(-1));console.log('Product display name:',result['product'].displayName);console.log('Product description:',result['product'].description);console.log('Product category:',result['product'].productCategory);});}getSimilarProductsGcs();

fromgoogle.cloudimportvisiondefget_similar_products_uri(project_id,location,product_set_id,product_category,image_uri,filter):"""Search similar products to image.    Args:        project_id: Id of the project.        location: A compute region name.        product_set_id: Id of the product set.        product_category: Category of the product.        image_uri: Cloud Storage location of image to be searched.        filter: Condition to be applied on the labels.        Example for filter: (color = red OR color = blue) AND style = kids        It will search on all products with the following labels:        color:red AND style:kids        color:blue AND style:kids    """# product_search_client is needed only for its helper methods.product_search_client=vision.ProductSearchClient()image_annotator_client=vision.ImageAnnotatorClient()# Create annotate image request along with product search feature.image_source=vision.ImageSource(image_uri=image_uri)image=vision.Image(source=image_source)# product search specific parametersproduct_set_path=product_search_client.product_set_path(project=project_id,location=location,product_set=product_set_id)product_search_params=vision.ProductSearchParams(product_set=product_set_path,product_categories=[product_category],filter=filter,)image_context=vision.ImageContext(product_search_params=product_search_params)# Search products similar to the image.response=image_annotator_client.product_search(image,image_context=image_context)index_time=response.product_search_results.index_timeprint("Product set index time: ")print(index_time)results=response.product_search_results.resultsprint("Search results:")forresultinresults:product=result.productprint(f"Score(Confidence):{result.score}")print(f"Image name:{result.image}")print(f"Product name:{product.name}")print("Product display name:{}".format(product.display_name))print(f"Product description:{product.description}\n")print(f"Product labels:{product.product_labels}\n")