与 AWS SDK或RecognizeCelebrities一起使用 CLI - AWS SDK代码示例

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与 AWS SDK或RecognizeCelebrities一起使用 CLI

以下代码示例演示如何使用 RecognizeCelebrities

有关更多信息,请参阅识别图像中的名人

.NET
AWS SDK for .NET
注意

还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库中进行设置和运行。

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."); } }
CLI
AWS CLI

识别图像中的名人

以下 recognize-celebrities 命令将识别存储在 Amazon S3 存储桶中的指定图像中的名人。

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

输出:

{ "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" } ] }

有关更多信息,请参阅《Amazon Rekognition 开发人员指南》中的识别图像中的名人

Java
SDK适用于 Java 2.x
注意

还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库中进行设置和运行。

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.RecognizeCelebritiesRequest; import software.amazon.awssdk.services.rekognition.model.RecognizeCelebritiesResponse; import software.amazon.awssdk.services.rekognition.model.RekognitionException; import software.amazon.awssdk.services.rekognition.model.Image; import software.amazon.awssdk.services.rekognition.model.Celebrity; /** * 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: <sourceImage> Where: sourceImage - The path to the image (for example, C:\\AWS\\pic1.png).\s """; if (args.length != 1) { System.out.println(usage); System.exit(1); } String sourceImage = args[0]; Region region = Region.US_EAST_1; RekognitionClient rekClient = RekognitionClient.builder() .region(region) .build(); System.out.println("Locating celebrities in " + sourceImage); recognizeAllCelebrities(rekClient, sourceImage); rekClient.close(); } 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); } } }
  • 有关API详细信息,请参阅 “AWS SDK for Java 2.x API参考 RecognizeCelebrities” 中的。

Kotlin
SDK对于 Kotlin 来说
注意

还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库中进行设置和运行。

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适用于 Python (Boto3)
注意

还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库中进行设置和运行。

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