Recognize celebrities in an image with Amazon Rekognition using an AWS SDK - AWS SDK Code Examples

There are more AWS SDK examples available in the AWS Doc SDK Examples GitHub repo.

Recognize celebrities in an image with Amazon Rekognition using an AWS SDK

The following code examples show how to recognize celebrities in an image with Amazon Rekognition.

For more information, see Recognizing celebrities in an image.

.NET
AWS SDK for .NET
Note

There's more on GitHub. Find the complete example and learn how to set up and run in the AWS Code Examples Repository.

using System; using System.IO; using System.Threading.Tasks; using Amazon.Rekognition; using Amazon.Rekognition.Model; /// <summary> /// Shows how to use Amazon Rekognition to identify celebrities in a photo. /// This example was created using the AWS SDK for .NET version 3.7 and /// .NET Core 5.0. /// </summary> public class CelebritiesInImage { public static async Task Main(string[] args) { string photo = "moviestars.jpg"; var rekognitionClient = new AmazonRekognitionClient(); var recognizeCelebritiesRequest = new RecognizeCelebritiesRequest(); var img = new Amazon.Rekognition.Model.Image(); byte[] data = null; try { using var fs = new FileStream(photo, FileMode.Open, FileAccess.Read); data = new byte[fs.Length]; fs.Read(data, 0, (int)fs.Length); } catch (Exception) { Console.WriteLine($"Failed to load file {photo}"); return; } img.Bytes = new MemoryStream(data); recognizeCelebritiesRequest.Image = img; Console.WriteLine($"Looking for celebrities in image {photo}\n"); var recognizeCelebritiesResponse = await rekognitionClient.RecognizeCelebritiesAsync(recognizeCelebritiesRequest); Console.WriteLine($"{recognizeCelebritiesResponse.CelebrityFaces.Count} celebrity(s) were recognized.\n"); recognizeCelebritiesResponse.CelebrityFaces.ForEach(celeb => { Console.WriteLine($"Celebrity recognized: {celeb.Name}"); Console.WriteLine($"Celebrity ID: {celeb.Id}"); BoundingBox boundingBox = celeb.Face.BoundingBox; Console.WriteLine($"position: {boundingBox.Left} {boundingBox.Top}"); Console.WriteLine("Further information (if available):"); celeb.Urls.ForEach(url => { Console.WriteLine(url); }); }); Console.WriteLine($"{recognizeCelebritiesResponse.UnrecognizedFaces.Count} face(s) were unrecognized."); } }
Java
SDK for Java 2.x
Note

There's more on GitHub. Find the complete example and learn how to set up and run in the AWS Code Examples Repository.

public static void recognizeAllCelebrities(RekognitionClient rekClient, String sourceImage) { try { InputStream sourceStream = new FileInputStream(sourceImage); SdkBytes sourceBytes = SdkBytes.fromInputStream(sourceStream); Image souImage = Image.builder() .bytes(sourceBytes) .build(); RecognizeCelebritiesRequest request = RecognizeCelebritiesRequest.builder() .image(souImage) .build(); RecognizeCelebritiesResponse result = rekClient.recognizeCelebrities(request) ; List<Celebrity> celebs=result.celebrityFaces(); System.out.println(celebs.size() + " celebrity(s) were recognized.\n"); for (Celebrity celebrity: celebs) { System.out.println("Celebrity recognized: " + celebrity.name()); System.out.println("Celebrity ID: " + celebrity.id()); System.out.println("Further information (if available):"); for (String url: celebrity.urls()){ System.out.println(url); } System.out.println(); } System.out.println(result.unrecognizedFaces().size() + " face(s) were unrecognized."); } catch (RekognitionException | FileNotFoundException e) { System.out.println(e.getMessage()); System.exit(1); } }
Kotlin
SDK for Kotlin
Note

This is prerelease documentation for a feature in preview release. It is subject to change.

Note

There's more on GitHub. Find the complete example and learn how to set up and run in the AWS Code Examples Repository.

suspend fun recognizeAllCelebrities(sourceImage: String?) { val souImage = Image { bytes = (File(sourceImage).readBytes()) } val request = RecognizeCelebritiesRequest { image = souImage } RekognitionClient { region = "us-east-1" }.use { rekClient -> val response = rekClient.recognizeCelebrities(request) response.celebrityFaces?.forEach { celebrity -> println("Celebrity recognized: ${celebrity.name}") println("Celebrity ID:${celebrity.id}") println("Further information (if available):") celebrity.urls?.forEach { url -> println(url) } } println("${response.unrecognizedFaces?.size} face(s) were unrecognized.") } }
Python
SDK for Python (Boto3)
Note

There's more on GitHub. Find the complete example and learn how to set up and run in the AWS Code Examples Repository.

class RekognitionImage: """ Encapsulates an Amazon Rekognition image. This class is a thin wrapper around parts of the Boto3 Amazon Rekognition API. """ def __init__(self, image, image_name, rekognition_client): """ Initializes the image object. :param image: Data that defines the image, either the image bytes or an Amazon S3 bucket and object key. :param image_name: The name of the image. :param rekognition_client: A Boto3 Rekognition client. """ self.image = image self.image_name = image_name self.rekognition_client = rekognition_client def recognize_celebrities(self): """ Detects celebrities in the image. :return: A tuple. The first element is the list of celebrities found in the image. The second element is the list of faces that were detected but did not match any known celebrities. """ try: response = self.rekognition_client.recognize_celebrities( Image=self.image) celebrities = [RekognitionCelebrity(celeb) for celeb in response['CelebrityFaces']] other_faces = [RekognitionFace(face) for face in response['UnrecognizedFaces']] logger.info( "Found %s celebrities and %s other faces in %s.", len(celebrities), len(other_faces), self.image_name) except ClientError: logger.exception("Couldn't detect celebrities in %s.", self.image_name) raise else: return celebrities, other_faces