Mencari wajah dengan ID wajah

Untuk mencari wajah dalam koleksi menggunakan ID wajahnya (SDK)

1. Jika belum:

   1. Buat atau perbarui pengguna dengan AmazonRekognitionFullAccess izin. Untuk informasi selengkapnya, lihat Langkah 1: Siapkan akun AWS dan buat Pengguna.

   2. Instal dan konfigurasikan AWS CLI dan AWS SDKs. Untuk informasi selengkapnya, lihat Langkah 2: Mengatur AWS CLI dan AWS SDKs.

2. Gunakan contoh berikut untuk memanggil operasi SearchFaces.

   Java

   Contoh ini menampilkan informasi tentang wajah yang cocok dengan wajah yang diidentifikasi berdasarkan ID-nya.

   Ubah nilai collectionID menjadi koleksi yang berisi wajah yang diperlukan. Ubah nilai faceId menjadi pengenal wajah yang ingin Anda temukan.

   //Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
   //PDX-License-Identifier: MIT-0 (For details, see https://github.com/awsdocs/amazon-rekognition-developer-guide/blob/master/LICENSE-SAMPLECODE.)
   
   package aws.example.rekognition.image;
   import com.amazonaws.services.rekognition.AmazonRekognition;
   import com.amazonaws.services.rekognition.AmazonRekognitionClientBuilder;
   import com.fasterxml.jackson.databind.ObjectMapper;
   import com.amazonaws.services.rekognition.model.FaceMatch;
   import com.amazonaws.services.rekognition.model.SearchFacesRequest;
   import com.amazonaws.services.rekognition.model.SearchFacesResult;
   import java.util.List;
   
   
     public class SearchFaceMatchingIdCollection {
         public static final String collectionId = "MyCollection";
         public static final String faceId = "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx";
         
       public static void main(String[] args) throws Exception {
           
           AmazonRekognition rekognitionClient = AmazonRekognitionClientBuilder.defaultClient();
         
           ObjectMapper objectMapper = new ObjectMapper();
         // Search collection for faces matching the face id.
         
         SearchFacesRequest searchFacesRequest = new SearchFacesRequest()
                 .withCollectionId(collectionId)
                 .withFaceId(faceId)
                 .withFaceMatchThreshold(70F)
                 .withMaxFaces(2);
              
          SearchFacesResult searchFacesByIdResult = 
                  rekognitionClient.searchFaces(searchFacesRequest);
   
          System.out.println("Face matching faceId " + faceId);
         List < FaceMatch > faceImageMatches = searchFacesByIdResult.getFaceMatches();
         for (FaceMatch face: faceImageMatches) {
            System.out.println(objectMapper.writerWithDefaultPrettyPrinter()
                    .writeValueAsString(face));
            
            System.out.println();
         }
       }
   
   }
   
         

   Jalankan kode contoh. Informasi tentang pencocokan wajah ditampilkan.

   Java V2

   Kode ini diambil dari GitHub repositori contoh SDK AWS Dokumentasi. Lihat contoh lengkapnya di sini.

   // snippet-start:[rekognition.java2.match_faces_collection.import]
   import software.amazon.awssdk.auth.credentials.ProfileCredentialsProvider;
   import software.amazon.awssdk.regions.Region;
   import software.amazon.awssdk.services.rekognition.RekognitionClient;
   import software.amazon.awssdk.services.rekognition.model.SearchFacesRequest;
   import software.amazon.awssdk.services.rekognition.model.SearchFacesResponse;
   import software.amazon.awssdk.services.rekognition.model.FaceMatch;
   import software.amazon.awssdk.services.rekognition.model.RekognitionException;
   import java.util.List;
   // snippet-end:[rekognition.java2.match_faces_collection.import]
   
   /**
    * 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 SearchFaceMatchingIdCollection {
   
       public static void main(String[] args) {
   
           final String usage = "\n" +
               "Usage: " +
               "   <collectionId> <sourceImage>\n\n" +
               "Where:\n" +
               "   collectionId - The id of the collection.  \n" +
               "   sourceImage - The path to the image (for example, C:\\AWS\\pic1.png). \n\n";
   
           if (args.length != 2) {
               System.out.println(usage);
               System.exit(1);
           }
   
           String collectionId = args[0];
           String faceId = args[1];
           Region region = Region.US_EAST_1;
           RekognitionClient rekClient = RekognitionClient.builder()
               .region(region)
               .credentialsProvider(ProfileCredentialsProvider.create("profile-name"))
               .build();
   
           System.out.println("Searching for a face in a collections");
           searchFacebyId(rekClient, collectionId, faceId ) ;
           rekClient.close();
       }
   
       // snippet-start:[rekognition.java2.match_faces_collection.main]
       public static void searchFacebyId(RekognitionClient rekClient,String collectionId, String faceId) {
   
           try {
               SearchFacesRequest searchFacesRequest = SearchFacesRequest.builder()
                   .collectionId(collectionId)
                   .faceId(faceId)
                   .faceMatchThreshold(70F)
                   .maxFaces(2)
                   .build();
   
               SearchFacesResponse imageResponse = rekClient.searchFaces(searchFacesRequest) ;
               System.out.println("Faces matching in the collection");
               List<FaceMatch> faceImageMatches = imageResponse.faceMatches();
               for (FaceMatch face: faceImageMatches) {
                   System.out.println("The similarity level is  "+face.similarity());
                   System.out.println();
               }
   
           } catch (RekognitionException e) {
               System.out.println(e.getMessage());
               System.exit(1);
           }
       }
       // snippet-end:[rekognition.java2.match_faces_collection.main]
   }

   AWS CLI

   AWS CLI Perintah ini menampilkan output JSON untuk operasi search-faces CLI. Ganti nilai face-id dengan pengenal wajah yang ingin Anda cari, dan ganti nilai collection-id dengan koleksi yang ingin Anda cari. Ganti nilai profile_name di baris yang membuat sesi Rekognition dengan nama profil pengembang Anda.

   aws rekognition search-faces --face-id face-id --collection-id "collection-id" --profile profile-name

   Python

   Contoh ini menampilkan informasi tentang wajah yang cocok dengan wajah yang diidentifikasi berdasarkan ID-nya.

   Ubah nilai collectionID menjadi koleksi yang berisi wajah yang diperlukan. Ubah nilai faceId menjadi pengenal wajah yang ingin Anda temukan. Ganti nilai profile_name di baris yang membuat sesi Rekognition dengan nama profil pengembang Anda.

   # Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
   # PDX-License-Identifier: MIT-0 (For details, see https://github.com/awsdocs/amazon-rekognition-developer-guide/blob/master/LICENSE-SAMPLECODE.)
   
   import boto3
   
   def search_face_in_collection(face_id, collection_id):
       threshold = 90
       max_faces = 2
   
       session = boto3.Session(profile_name='profile-name')
       client = session.client('rekognition')
   
       response = client.search_faces(CollectionId=collection_id,
                                      FaceId=face_id,
                                      FaceMatchThreshold=threshold,
                                      MaxFaces=max_faces)
   
       face_matches = response['FaceMatches']
       print('Matching faces')
       for match in face_matches:
           print('FaceId:' + match['Face']['FaceId'])
           print('Similarity: ' + "{:.2f}".format(match['Similarity']) + "%")
   
       return len(face_matches)
   
   def main():
       face_id = 'xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx'
       collection_id = 'collection-id'
   
       faces = []
       faces.append(face_id)
   
       faces_count = search_face_in_collection(face_id, collection_id)
       print("faces found: " + str(faces_count))
   
   if __name__ == "__main__":
       main()

   .NET

   Contoh ini menampilkan informasi tentang wajah yang cocok dengan wajah yang diidentifikasi berdasarkan ID-nya.

   Ubah nilai collectionID menjadi koleksi yang berisi wajah yang diperlukan. Ubah nilai faceId menjadi pengenal wajah yang ingin Anda temukan.

   //Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
   //PDX-License-Identifier: MIT-0 (For details, see https://github.com/awsdocs/amazon-rekognition-developer-guide/blob/master/LICENSE-SAMPLECODE.)
   
   using System;
   using Amazon.Rekognition;
   using Amazon.Rekognition.Model;
   
   public class SearchFacesMatchingId
   {
       public static void Example()
       {
           String collectionId = "MyCollection";
           String faceId = "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx";
   
           AmazonRekognitionClient rekognitionClient = new AmazonRekognitionClient();
   
           // Search collection for faces matching the face id.
   
           SearchFacesRequest searchFacesRequest = new SearchFacesRequest()
           {
               CollectionId = collectionId,
               FaceId = faceId,
               FaceMatchThreshold = 70F,
               MaxFaces = 2
           };
   
           SearchFacesResponse searchFacesResponse = rekognitionClient.SearchFaces(searchFacesRequest);
   
           Console.WriteLine("Face matching faceId " + faceId);
   
           Console.WriteLine("Matche(s): ");
           foreach (FaceMatch face in searchFacesResponse.FaceMatches)
               Console.WriteLine("FaceId: " + face.Face.FaceId + ", Similarity: " + face.Similarity);
       }
   }
   

   Jalankan kode contoh. Informasi tentang pencocokan wajah ditampilkan.