Utilisation de RecognizeCelebrities avec un kit AWS SDK ou une interface de ligne de commande - Exemples de code de kit AWS SDK

D’autres exemples de kits AWS SDK sont disponibles dans le référentiel GitHub AWS Doc SDK Examples.

Utilisation de RecognizeCelebrities avec un kit AWS SDK ou une interface de ligne de commande

Les exemples de code suivants illustrent comment utiliser RecognizeCelebrities.

Pour plus d’informations, consultez Reconnaissance de célébrités dans une image.

.NET
SDK pour .NET
Note

Il y en a plus sur GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le référentiel d’exemples de code AWS.

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. /// </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."); } }
  • Pour plus de détails sur l’API, consultez RecognizeCelebrities dans la Référence des API du kit AWS SDK pour .NET.

CLI
AWS CLI

Pour reconnaître des célébrités sur une image

La commande recognize-celebrities suivante reconnaît les célébrités sur l’image spécifiée stockée dans un compartiment Amazon S3 :

aws rekognition recognize-celebrities \ --image "S3Object={Bucket=MyImageS3Bucket,Name=moviestars.jpg}"

Sortie :

{ "UnrecognizedFaces": [ { "BoundingBox": { "Width": 0.14416666328907013, "Top": 0.07777778059244156, "Left": 0.625, "Height": 0.2746031880378723 }, "Confidence": 99.9990234375, "Pose": { "Yaw": 10.80408763885498, "Roll": -12.761146545410156, "Pitch": 10.96889877319336 }, "Quality": { "Sharpness": 94.1185531616211, "Brightness": 79.18367004394531 }, "Landmarks": [ { "Y": 0.18220913410186768, "X": 0.6702951788902283, "Type": "eyeLeft" }, { "Y": 0.16337193548679352, "X": 0.7188183665275574, "Type": "eyeRight" }, { "Y": 0.20739148557186127, "X": 0.7055801749229431, "Type": "nose" }, { "Y": 0.2889308035373688, "X": 0.687512218952179, "Type": "mouthLeft" }, { "Y": 0.2706988751888275, "X": 0.7250053286552429, "Type": "mouthRight" } ] } ], "CelebrityFaces": [ { "MatchConfidence": 100.0, "Face": { "BoundingBox": { "Width": 0.14000000059604645, "Top": 0.1190476194024086, "Left": 0.82833331823349, "Height": 0.2666666805744171 }, "Confidence": 99.99359130859375, "Pose": { "Yaw": -10.509642601013184, "Roll": -14.51749324798584, "Pitch": 13.799399375915527 }, "Quality": { "Sharpness": 78.74752044677734, "Brightness": 42.201324462890625 }, "Landmarks": [ { "Y": 0.2290833294391632, "X": 0.8709492087364197, "Type": "eyeLeft" }, { "Y": 0.20639978349208832, "X": 0.9153988361358643, "Type": "eyeRight" }, { "Y": 0.25417643785476685, "X": 0.8907724022865295, "Type": "nose" }, { "Y": 0.32729196548461914, "X": 0.8876466155052185, "Type": "mouthLeft" }, { "Y": 0.3115464746952057, "X": 0.9238573312759399, "Type": "mouthRight" } ] }, "Name": "Celeb A", "Urls": [ "www.imdb.com/name/aaaaaaaaa" ], "Id": "1111111" }, { "MatchConfidence": 97.0, "Face": { "BoundingBox": { "Width": 0.13333334028720856, "Top": 0.24920634925365448, "Left": 0.4449999928474426, "Height": 0.2539682686328888 }, "Confidence": 99.99979400634766, "Pose": { "Yaw": 6.557040691375732, "Roll": -7.316643714904785, "Pitch": 9.272967338562012 }, "Quality": { "Sharpness": 83.23492431640625, "Brightness": 78.83267974853516 }, "Landmarks": [ { "Y": 0.3625510632991791, "X": 0.48898839950561523, "Type": "eyeLeft" }, { "Y": 0.35366007685661316, "X": 0.5313721299171448, "Type": "eyeRight" }, { "Y": 0.3894785940647125, "X": 0.5173314809799194, "Type": "nose" }, { "Y": 0.44889405369758606, "X": 0.5020005702972412, "Type": "mouthLeft" }, { "Y": 0.4408611059188843, "X": 0.5351271629333496, "Type": "mouthRight" } ] }, "Name": "Celeb B", "Urls": [ "www.imdb.com/name/bbbbbbbbb" ], "Id": "2222222" }, { "MatchConfidence": 100.0, "Face": { "BoundingBox": { "Width": 0.12416666746139526, "Top": 0.2968254089355469, "Left": 0.2150000035762787, "Height": 0.23650793731212616 }, "Confidence": 99.99958801269531, "Pose": { "Yaw": 7.801797866821289, "Roll": -8.326810836791992, "Pitch": 7.844768047332764 }, "Quality": { "Sharpness": 86.93206024169922, "Brightness": 79.81291198730469 }, "Landmarks": [ { "Y": 0.4027804136276245, "X": 0.2575301229953766, "Type": "eyeLeft" }, { "Y": 0.3934555947780609, "X": 0.2956969439983368, "Type": "eyeRight" }, { "Y": 0.4309830069541931, "X": 0.2837020754814148, "Type": "nose" }, { "Y": 0.48186683654785156, "X": 0.26812544465065, "Type": "mouthLeft" }, { "Y": 0.47338807582855225, "X": 0.29905644059181213, "Type": "mouthRight" } ] }, "Name": "Celeb C", "Urls": [ "www.imdb.com/name/ccccccccc" ], "Id": "3333333" }, { "MatchConfidence": 97.0, "Face": { "BoundingBox": { "Width": 0.11916666477918625, "Top": 0.3698412775993347, "Left": 0.008333333767950535, "Height": 0.22698412835597992 }, "Confidence": 99.99999237060547, "Pose": { "Yaw": 16.38478660583496, "Roll": -1.0260354280471802, "Pitch": 5.975185394287109 }, "Quality": { "Sharpness": 83.23492431640625, "Brightness": 61.408443450927734 }, "Landmarks": [ { "Y": 0.4632347822189331, "X": 0.049406956881284714, "Type": "eyeLeft" }, { "Y": 0.46388113498687744, "X": 0.08722897619009018, "Type": "eyeRight" }, { "Y": 0.5020678639411926, "X": 0.0758260041475296, "Type": "nose" }, { "Y": 0.544157862663269, "X": 0.054029736667871475, "Type": "mouthLeft" }, { "Y": 0.5463630557060242, "X": 0.08464983850717545, "Type": "mouthRight" } ] }, "Name": "Celeb D", "Urls": [ "www.imdb.com/name/ddddddddd" ], "Id": "4444444" } ] }

Pour plus d’informations, consultez Reconnaissance de célébrités sur une image dans le Guide du développeur Amazon Rekognition.

  • Pour plus de détails sur l’API, consultez RecognizeCelebrities dans la Référence des API du kit AWS CLI.

Java
SDK pour Java 2.x
Note

Il y en a plus sur GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le référentiel d’exemples de code AWS.

import software.amazon.awssdk.regions.Region; import software.amazon.awssdk.services.rekognition.RekognitionClient; import software.amazon.awssdk.core.SdkBytes; import java.io.FileInputStream; import java.io.FileNotFoundException; import java.io.InputStream; import java.util.List; import software.amazon.awssdk.services.rekognition.model.*; /** * Before running this Java V2 code example, set up your development * environment, including your credentials. * * For more information, see the following documentation topic: * * https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/get-started.html */ public class RecognizeCelebrities { public static void main(String[] args) { final String usage = """ Usage: <bucketName> <sourceImage> Where: bucketName - The name of the S3 bucket where the images are stored. sourceImage - The path to the image (for example, C:\\AWS\\pic1.png).\s """; if (args.length != 2) { System.out.println(usage); System.exit(1); } String bucketName = args[0];; String sourceImage = args[1]; Region region = Region.US_WEST_2; RekognitionClient rekClient = RekognitionClient.builder() .region(region) .build(); System.out.println("Locating celebrities in " + sourceImage); recognizeAllCelebrities(rekClient, bucketName, sourceImage); rekClient.close(); } /** * Recognizes all celebrities in an image stored in an Amazon S3 bucket. * * @param rekClient the Amazon Rekognition client used to perform the celebrity recognition operation * @param bucketName the name of the Amazon S3 bucket where the source image is stored * @param sourceImage the name of the source image file stored in the Amazon S3 bucket */ public static void recognizeAllCelebrities(RekognitionClient rekClient, String bucketName, String sourceImage) { try { S3Object s3ObjectTarget = S3Object.builder() .bucket(bucketName) .name(sourceImage) .build(); Image souImage = Image.builder() .s3Object(s3ObjectTarget) .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 e) { System.out.println(e.getMessage()); System.exit(1); } } }
  • Pour plus de détails sur l’API, consultez RecognizeCelebrities dans la Référence des API du kit AWS SDK for Java 2.x.

Kotlin
SDK pour Kotlin
Note

Il y en a plus sur GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le référentiel d’exemples de code AWS.

suspend fun recognizeAllCelebrities(sourceImage: String?) { val souImage = Image { bytes = (File(sourceImage).readBytes()) } val request = RecognizeCelebritiesRequest { image = souImage } RekognitionClient.fromEnvironment { 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.") } }
  • Pour plus d’informations sur l’API consultez RecognizeCelebrities dans la Référence de l’API de l’AWS SDK pour Kotlin.

Python
Kit SDK pour Python (Boto3)
Note

Il y en a plus sur GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le référentiel d’exemples de code AWS.

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
  • Pour plus de détails sur l’API, consultez RecognizeCelebrities dans la Référence des API du kit AWS SDK for Python (Boto3).