または AWS SDK CompareFacesで使用する CLI - AWS SDK コード例

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または AWS SDK CompareFacesで使用する CLI

以下のコード例は、CompareFaces の使用方法を示しています。

詳細については、「イメージ内の顔を比較する」を参照してください。

.NET
AWS SDK for .NET
注記

の詳細については、「」を参照してください GitHub。用例一覧を検索し、AWS コード例リポジトリでの設定と実行の方法を確認してください。

using System; using System.IO; using System.Threading.Tasks; using Amazon.Rekognition; using Amazon.Rekognition.Model; /// <summary> /// Uses the Amazon Rekognition Service to compare faces in two images. /// </summary> public class CompareFaces { public static async Task Main() { float similarityThreshold = 70F; string sourceImage = "source.jpg"; string targetImage = "target.jpg"; var rekognitionClient = new AmazonRekognitionClient(); Amazon.Rekognition.Model.Image imageSource = new Amazon.Rekognition.Model.Image(); try { using FileStream fs = new FileStream(sourceImage, FileMode.Open, FileAccess.Read); byte[] data = new byte[fs.Length]; fs.Read(data, 0, (int)fs.Length); imageSource.Bytes = new MemoryStream(data); } catch (Exception) { Console.WriteLine($"Failed to load source image: {sourceImage}"); return; } Amazon.Rekognition.Model.Image imageTarget = new Amazon.Rekognition.Model.Image(); try { using FileStream fs = new FileStream(targetImage, FileMode.Open, FileAccess.Read); byte[] data = new byte[fs.Length]; data = new byte[fs.Length]; fs.Read(data, 0, (int)fs.Length); imageTarget.Bytes = new MemoryStream(data); } catch (Exception ex) { Console.WriteLine($"Failed to load target image: {targetImage}"); Console.WriteLine(ex.Message); return; } var compareFacesRequest = new CompareFacesRequest { SourceImage = imageSource, TargetImage = imageTarget, SimilarityThreshold = similarityThreshold, }; // Call operation var compareFacesResponse = await rekognitionClient.CompareFacesAsync(compareFacesRequest); // Display results compareFacesResponse.FaceMatches.ForEach(match => { ComparedFace face = match.Face; BoundingBox position = face.BoundingBox; Console.WriteLine($"Face at {position.Left} {position.Top} matches with {match.Similarity}% confidence."); }); Console.WriteLine($"Found {compareFacesResponse.UnmatchedFaces.Count} face(s) that did not match."); } }
  • API 詳細については、 リファレンスCompareFacesの「」を参照してください。 AWS SDK for .NET API

CLI
AWS CLI

2 つの画像内の顔を比較するには

次の compare-faces コマンドは、Amazon S3 バケットに保存されている 2 つの画像の顔を比較します。

aws rekognition compare-faces \ --source-image '{"S3Object":{"Bucket":"MyImageS3Bucket","Name":"source.jpg"}}' \ --target-image '{"S3Object":{"Bucket":"MyImageS3Bucket","Name":"target.jpg"}}'

出力:

{ "UnmatchedFaces": [], "FaceMatches": [ { "Face": { "BoundingBox": { "Width": 0.12368916720151901, "Top": 0.16007372736930847, "Left": 0.5901257991790771, "Height": 0.25140416622161865 }, "Confidence": 100.0, "Pose": { "Yaw": -3.7351467609405518, "Roll": -0.10309021919965744, "Pitch": 0.8637830018997192 }, "Quality": { "Sharpness": 95.51618957519531, "Brightness": 65.29893493652344 }, "Landmarks": [ { "Y": 0.26721030473709106, "X": 0.6204193830490112, "Type": "eyeLeft" }, { "Y": 0.26831310987472534, "X": 0.6776827573776245, "Type": "eyeRight" }, { "Y": 0.3514654338359833, "X": 0.6241428852081299, "Type": "mouthLeft" }, { "Y": 0.35258132219314575, "X": 0.6713621020317078, "Type": "mouthRight" }, { "Y": 0.3140771687030792, "X": 0.6428444981575012, "Type": "nose" } ] }, "Similarity": 100.0 } ], "SourceImageFace": { "BoundingBox": { "Width": 0.12368916720151901, "Top": 0.16007372736930847, "Left": 0.5901257991790771, "Height": 0.25140416622161865 }, "Confidence": 100.0 } }

詳細については、「Amazon Rekognition ディベロッパーガイド」の「イメージ間の顔の比較」を参照してください。

  • API 詳細については、AWS CLI 「 コマンドリファレンスCompareFaces」の「」を参照してください。

Java
SDK for Java 2.x
注記

の詳細については、「」を参照してください GitHub。用例一覧を検索し、AWS コード例リポジトリでの設定と実行の方法を確認してください。

import software.amazon.awssdk.regions.Region; import software.amazon.awssdk.services.rekognition.RekognitionClient; import software.amazon.awssdk.services.rekognition.model.RekognitionException; import software.amazon.awssdk.services.rekognition.model.Image; import software.amazon.awssdk.services.rekognition.model.CompareFacesRequest; import software.amazon.awssdk.services.rekognition.model.CompareFacesResponse; import software.amazon.awssdk.services.rekognition.model.CompareFacesMatch; import software.amazon.awssdk.services.rekognition.model.ComparedFace; import software.amazon.awssdk.services.rekognition.model.BoundingBox; import software.amazon.awssdk.core.SdkBytes; import java.io.FileInputStream; import java.io.FileNotFoundException; import java.io.InputStream; import java.util.List; /** * 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 CompareFaces { public static void main(String[] args) { final String usage = """ Usage: <pathSource> <pathTarget> Where: pathSource - The path to the source image (for example, C:\\AWS\\pic1.png).\s pathTarget - The path to the target image (for example, C:\\AWS\\pic2.png).\s """; if (args.length != 2) { System.out.println(usage); System.exit(1); } Float similarityThreshold = 70F; String sourceImage = args[0]; String targetImage = args[1]; Region region = Region.US_EAST_1; RekognitionClient rekClient = RekognitionClient.builder() .region(region) .build(); compareTwoFaces(rekClient, similarityThreshold, sourceImage, targetImage); rekClient.close(); } public static void compareTwoFaces(RekognitionClient rekClient, Float similarityThreshold, String sourceImage, String targetImage) { try { InputStream sourceStream = new FileInputStream(sourceImage); InputStream tarStream = new FileInputStream(targetImage); SdkBytes sourceBytes = SdkBytes.fromInputStream(sourceStream); SdkBytes targetBytes = SdkBytes.fromInputStream(tarStream); // Create an Image object for the source image. Image souImage = Image.builder() .bytes(sourceBytes) .build(); Image tarImage = Image.builder() .bytes(targetBytes) .build(); CompareFacesRequest facesRequest = CompareFacesRequest.builder() .sourceImage(souImage) .targetImage(tarImage) .similarityThreshold(similarityThreshold) .build(); // Compare the two images. CompareFacesResponse compareFacesResult = rekClient.compareFaces(facesRequest); List<CompareFacesMatch> faceDetails = compareFacesResult.faceMatches(); for (CompareFacesMatch match : faceDetails) { ComparedFace face = match.face(); BoundingBox position = face.boundingBox(); System.out.println("Face at " + position.left().toString() + " " + position.top() + " matches with " + face.confidence().toString() + "% confidence."); } List<ComparedFace> uncompared = compareFacesResult.unmatchedFaces(); System.out.println("There was " + uncompared.size() + " face(s) that did not match"); System.out.println("Source image rotation: " + compareFacesResult.sourceImageOrientationCorrection()); System.out.println("target image rotation: " + compareFacesResult.targetImageOrientationCorrection()); } catch (RekognitionException | FileNotFoundException e) { System.out.println("Failed to load source image " + sourceImage); System.exit(1); } } }
  • API 詳細については、 リファレンスCompareFacesの「」を参照してください。 AWS SDK for Java 2.x API

Kotlin
SDK Kotlin の場合
注記

の詳細については、「」を参照してください GitHub。用例一覧を検索し、AWS コード例リポジトリでの設定と実行の方法を確認してください。

suspend fun compareTwoFaces( similarityThresholdVal: Float, sourceImageVal: String, targetImageVal: String, ) { val sourceBytes = (File(sourceImageVal).readBytes()) val targetBytes = (File(targetImageVal).readBytes()) // Create an Image object for the source image. val souImage = Image { bytes = sourceBytes } val tarImage = Image { bytes = targetBytes } val facesRequest = CompareFacesRequest { sourceImage = souImage targetImage = tarImage similarityThreshold = similarityThresholdVal } RekognitionClient { region = "us-east-1" }.use { rekClient -> val compareFacesResult = rekClient.compareFaces(facesRequest) val faceDetails = compareFacesResult.faceMatches if (faceDetails != null) { for (match: CompareFacesMatch in faceDetails) { val face = match.face val position = face?.boundingBox if (position != null) { println("Face at ${position.left} ${position.top} matches with ${face.confidence} % confidence.") } } } val uncompared = compareFacesResult.unmatchedFaces if (uncompared != null) { println("There was ${uncompared.size} face(s) that did not match") } println("Source image rotation: ${compareFacesResult.sourceImageOrientationCorrection}") println("target image rotation: ${compareFacesResult.targetImageOrientationCorrection}") } }
  • API 詳細については、Kotlin リファレンス のCompareFaces「」の「」を参照してください。 AWS SDK API

Python
SDK Python 用 (Boto3)
注記

の詳細については、「」を参照してください GitHub。用例一覧を検索し、AWS コード例リポジトリでの設定と実行の方法を確認してください。

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 compare_faces(self, target_image, similarity): """ Compares faces in the image with the largest face in the target image. :param target_image: The target image to compare against. :param similarity: Faces in the image must have a similarity value greater than this value to be included in the results. :return: A tuple. The first element is the list of faces that match the reference image. The second element is the list of faces that have a similarity value below the specified threshold. """ try: response = self.rekognition_client.compare_faces( SourceImage=self.image, TargetImage=target_image.image, SimilarityThreshold=similarity, ) matches = [ RekognitionFace(match["Face"]) for match in response["FaceMatches"] ] unmatches = [RekognitionFace(face) for face in response["UnmatchedFaces"]] logger.info( "Found %s matched faces and %s unmatched faces.", len(matches), len(unmatches), ) except ClientError: logger.exception( "Couldn't match faces from %s to %s.", self.image_name, target_image.image_name, ) raise else: return matches, unmatches
  • API 詳細については、AWS SDKPython (Boto3) APIリファレンス のCompareFaces「」の「」を参照してください。