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# Daftar wajah dan pengguna terkait dalam koleksi
<a name="list-faces-in-collection-procedure"></a>

Anda dapat menggunakan [ListFaces](https://docs.aws.amazon.com/rekognition/latest/APIReference/API_ListFaces.html)operasi untuk membuat daftar wajah dan pengguna terkait mereka dalam koleksi.

Untuk informasi selengkapnya, lihat [Mengelola wajah dalam koleksi](managing-face-collections.md#collections-index-faces). 



**Untuk mendaftarkan wajah dalam koleksi (SDK)**

1. Jika belum:

   1. Buat atau perbarui pengguna dengan `AmazonRekognitionFullAccess` izin. Untuk informasi selengkapnya, lihat [Langkah 1: Siapkan akun AWS dan buat Pengguna](setting-up.md#setting-up-iam).

   1. Instal dan konfigurasikan AWS CLI dan AWS SDK. Untuk informasi selengkapnya, lihat [Langkah 2: Siapkan AWS CLI and AWS SDK](setup-awscli-sdk.md).

1. Gunakan contoh berikut untuk memanggil operasi `ListFaces`.

------
#### [ Java ]

   Contoh ini menampilkan daftar wajah dalam koleksi.

   Ubah nilai `collectionId` menjadi ID koleksi yang diinginkan.

   ```
   //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.amazonaws.services.rekognition.model.Face;
   import com.amazonaws.services.rekognition.model.ListFacesRequest;
   import com.amazonaws.services.rekognition.model.ListFacesResult;
   import java.util.List;
   import com.fasterxml.jackson.databind.ObjectMapper;
   
   
   
   public class ListFacesInCollection {
       public static final String collectionId = "MyCollection";
   
      public static void main(String[] args) throws Exception {
         
         AmazonRekognition rekognitionClient = AmazonRekognitionClientBuilder.defaultClient();
   
         ObjectMapper objectMapper = new ObjectMapper();
   
         ListFacesResult listFacesResult = null;
         System.out.println("Faces in collection " + collectionId);
   
         String paginationToken = null;
         do {
            if (listFacesResult != null) {
               paginationToken = listFacesResult.getNextToken();
            }
            
            ListFacesRequest listFacesRequest = new ListFacesRequest()
                    .withCollectionId(collectionId)
                    .withMaxResults(1)
                    .withNextToken(paginationToken);
           
            listFacesResult =  rekognitionClient.listFaces(listFacesRequest);
            List < Face > faces = listFacesResult.getFaces();
            for (Face face: faces) {
               System.out.println(objectMapper.writerWithDefaultPrettyPrinter()
                  .writeValueAsString(face));
            }
         } while (listFacesResult != null && listFacesResult.getNextToken() !=
            null);
      }
   
   }
   ```

------
#### [ Java V2 ]

   Kode ini diambil dari GitHub repositori contoh SDK AWS Dokumentasi. Lihat contoh lengkapnya [di sini](https://github.com/awsdocs/aws-doc-sdk-examples/blob/master/javav2/example_code/rekognition/src/main/java/com/example/rekognition/ListFacesInCollection.java).

   ```
   // snippet-start:[rekognition.java2.list_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.Face;
   import software.amazon.awssdk.services.rekognition.model.ListFacesRequest;
   import software.amazon.awssdk.services.rekognition.model.ListFacesResponse;
   import software.amazon.awssdk.services.rekognition.model.RekognitionException;
   import java.util.List;
   // snippet-end:[rekognition.java2.list_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 ListFacesInCollection {
   
       public static void main(String[] args) {
   
           final String usage = "\n" +
               "Usage: " +
               "   <collectionId>\n\n" +
               "Where:\n" +
               "   collectionId - The name of the collection. \n\n";
   
           if (args.length < 1) {
               System.out.println(usage);
               System.exit(1);
           }
   
           String collectionId = args[0];
           Region region = Region.US_EAST_1;
           RekognitionClient rekClient = RekognitionClient.builder()
               .region(region)
               .credentialsProvider(ProfileCredentialsProvider.create("profile-name"))
               .build();
   
           System.out.println("Faces in collection " + collectionId);
           listFacesCollection(rekClient, collectionId) ;
           rekClient.close();
       }
   
       // snippet-start:[rekognition.java2.list_faces_collection.main]
       public static void listFacesCollection(RekognitionClient rekClient, String collectionId ) {
           try {
               ListFacesRequest facesRequest = ListFacesRequest.builder()
                   .collectionId(collectionId)
                   .maxResults(10)
                   .build();
   
               ListFacesResponse facesResponse = rekClient.listFaces(facesRequest);
               List<Face> faces = facesResponse.faces();
               for (Face face: faces) {
                   System.out.println("Confidence level there is a face: "+face.confidence());
                   System.out.println("The face Id value is "+face.faceId());
               }
   
           } catch (RekognitionException e) {
               System.out.println(e.getMessage());
               System.exit(1);
            }
         }
       // snippet-end:[rekognition.java2.list_faces_collection.main]
     }
   ```

------
#### [ AWS CLI ]

    AWS CLI Perintah ini menampilkan output JSON untuk operasi `list-faces` CLI. Ganti nilai `collection-id` dengan nama koleksi yang ingin Anda cantumkan. Ganti nilai `profile_name` di baris yang membuat sesi Rekognition dengan nama profil pengembang Anda.

   ```
   aws rekognition list-faces --collection-id "collection-id"  --profile profile-name
   ```

------
#### [ Python ]

   Contoh ini menampilkan daftar wajah dalam koleksi.

   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 list_faces_in_collection(collection_id):
       maxResults = 2
       faces_count = 0
       tokens = True
   
       session = boto3.Session(profile_name='profile-name')
       client = session.client('rekognition')
       response = client.list_faces(CollectionId=collection_id,
                                    MaxResults=maxResults)
   
       print('Faces in collection ' + collection_id)
   
       while tokens:
   
           faces = response['Faces']
   
           for face in faces:
               print(face)
               faces_count += 1
           if 'NextToken' in response:
               nextToken = response['NextToken']
               response = client.list_faces(CollectionId=collection_id,
                                            NextToken=nextToken, MaxResults=maxResults)
           else:
               tokens = False
       return faces_count
   
   def main():
       collection_id = 'collection-id'
       faces_count = list_faces_in_collection(collection_id)
       print("faces count: " + str(faces_count))
   
   if __name__ == "__main__":
       main()
   ```

------
#### [ .NET ]

   Contoh ini menampilkan daftar wajah dalam koleksi.

   Ubah nilai `collectionId` menjadi ID koleksi yang diinginkan.

   ```
   //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 ListFaces
   {
       public static void Example()
       {
           String collectionId = "MyCollection";
   
           AmazonRekognitionClient rekognitionClient = new AmazonRekognitionClient();
   
           ListFacesResponse listFacesResponse = null;
           Console.WriteLine("Faces in collection " + collectionId);
   
           String paginationToken = null;
           do
           {
               if (listFacesResponse != null)
                   paginationToken = listFacesResponse.NextToken;
   
               ListFacesRequest listFacesRequest = new ListFacesRequest()
               {
                   CollectionId = collectionId,
                   MaxResults = 1,
                   NextToken = paginationToken
               };
   
               listFacesResponse = rekognitionClient.ListFaces(listFacesRequest);
               foreach(Face face in listFacesResponse.Faces)
                   Console.WriteLine(face.FaceId);
           } while (listFacesResponse != null && !String.IsNullOrEmpty(listFacesResponse.NextToken));
       }
   }
   ```

------

## ListFaces permintaan operasi
<a name="listfaces-request"></a>

Input ke `ListFaces` adalah ID koleksi yang ingin Anda daftarkan wajah. `MaxResults`adalah jumlah maksimum wajah untuk kembali. ListFaces juga mengambil daftar ID wajah untuk memfilter hasilnya, dan ID pengguna yang disediakan untuk mencantumkan hanya wajah yang terkait dengan pengguna yang diberikan.

```
{
    "CollectionId": "MyCollection",
    "MaxResults": 1
}
```

Jika respons tersebut memiliki wajah lebih dari yang diminta oleh `MaxResults`, token dikembalikan sehingga Anda dapat menggunakannya untuk mendapatkan serangkaian hasil berikutnya, dalam panggilan berikutnya untuk `ListFaces`. Contoh:

```
{
    "CollectionId": "MyCollection",
    "NextToken": "sm+5ythT3aeEVIR4WA....",
    "MaxResults": 1
}
```

## ListFaces respon operasi
<a name="listfaces-response"></a>

Respons dari `ListFaces` adalah informasi tentang metadata wajah yang disimpan dalam koleksi tertentu.
+ **FaceModelVersion**— Versi model wajah yang terkait dengan koleksi. Untuk informasi selengkapnya, lihat [Memahami versi model](face-detection-model.md).
+  **Wajah** — Informasi tentang wajah dalam koleksi. Hal ini mencakup informasi tentang [BoundingBox](https://docs.aws.amazon.com/rekognition/latest/APIReference/API_BoundingBox.html), kepercayaan diri, pengidentifikasi citra, dan ID wajah. Untuk informasi lebih lanjut, lihat [Wajah](https://docs.aws.amazon.com/rekognition/latest/APIReference/API_Face.html). 
+  **NextToken**— Token yang digunakan untuk mendapatkan set hasil berikutnya. 

```
{
    "FaceModelVersion": "6.0", 
    "Faces": [  
        {
            "Confidence": 99.76940155029297, 
            "IndexFacesModelVersion": "6.0", 
            "UserId": "demoUser2", 
            "ImageId": "56a0ca74-1c83-39dd-b363-051a64168a65", 
            "BoundingBox": {
                "Width": 0.03177810087800026, 
                "Top": 0.36568498611450195, 
                "Left": 0.3453829884529114, 
                "Height": 0.056759100407361984
            }, 
            "FaceId": "c92265d4-5f9c-43af-a58e-12be0ce02bc3"
        },
        {
            "BoundingBox": {
                "Width": 0.03254450112581253, 
                "Top": 0.6080359816551208, 
                "Left": 0.5160620212554932, 
                "Height": 0.06347999721765518
            }, 
            "IndexFacesModelVersion": "6.0", 
            "FaceId": "851cb847-dccc-4fea-9309-9f4805967855", 
            "Confidence": 99.94369506835938, 
            "ImageId": "a8aed589-ceec-35f7-9c04-82e0b546b024"
        },
        {
            "BoundingBox": {
                "Width": 0.03094629943370819, 
                "Top": 0.4218429923057556, 
                "Left": 0.6513839960098267, 
                "Height": 0.05266290158033371
            }, 
            "IndexFacesModelVersion": "6.0", 
            "FaceId": "c0eb3b65-24a0-41e1-b23a-1908b1aaeac1", 
            "Confidence": 99.82969665527344, 
            "ImageId": "56a0ca74-1c83-39dd-b363-051a64168a65"
        }
    ]
}
```