將人臉與使用者產生關聯

建立人臉的關聯 (SDK)

1. 如果您尚未執行：

   1. 建立或更新具有 AmazonRekognitionFullAccess 許可的使用者。如需詳細資訊，請參閱步驟 1：設定AWS帳戶並建立使用者。

   2. 安裝和設定 AWS CLI 和 AWS SDKs。如需詳細資訊，請參閱步驟 2：設定 AWS CLI 以及 AWS SDKs。

2. 使用下列範例來呼叫 AssociateFaces 操作。

   Java

   此 Java 程式碼範例將一個人臉與使用者相關聯。

   import java.util.Arrays;
   import java.util.List;
   
   import com.amazonaws.services.rekognition.AmazonRekognition;
   import com.amazonaws.services.rekognition.AmazonRekognitionClientBuilder;
   import com.amazonaws.services.rekognition.model.AssociateFacesRequest;
   import com.amazonaws.services.rekognition.model.AssociateFacesResult;
   
   
   public class AssociateFaces {
   
       public static void main(String[] args) throws Exception {
   
   
           AmazonRekognition rekognitionClient = AmazonRekognitionClientBuilder.defaultClient();
   
           /* Replace the below configurations to allow you successfully run the example
   
              @collectionId: The collection where user and faces are stored
              @userId: The user which faces will get associated to
              @faceIds: The list of face IDs that will get associated to the given user
              @userMatchThreshold: Minimum User match confidence required for the face to
                                  be associated with a User that has at least one faceID already associated
            */
   
           String collectionId = "MyCollection";
           String userId = "demoUser";
           String faceId1 = "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx";
           String faceId2 = "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx";
           List<String> faceIds = Arrays.asList(faceid1,faceid2);
   
           float userMatchThreshold = 0f;
           System.out.println("Associating faces to the existing user: " +
                   userId);
   
           AssociateFacesRequest request = new AssociateFacesRequest()
                   .withCollectionId(collectionId)
                   .withUserId(userId)
                   .withFaceIds(faceIds)
                   .withUserMatchThreshold(userMatchThreshold);
   
           AssociateFacesResult result = rekognitionClient.associateFaces(request);
   
           System.out.println("Successful face associations: " + result.getAssociatedFaces().size());
           System.out.println("Unsuccessful face associations: " + result.getUnsuccessfulFaceAssociations().size());
       }
   
   }

   AWS CLI

   此 AWS CLI 命令使用 associate-facesCLI操作，將臉部與使用者建立關聯。

   aws rekognition associate-faces --user-id user-id --face-ids face-id-1 face-id-2
   --collection-id collection-name 
   --region region-name

   Python

   這個 Python 程式碼範例將一個人臉與使用者相關聯。

   from botocore.exceptions import ClientError
   import boto3
   import logging
   
   logger = logging.getLogger(__name__)
   session = boto3.Session(profile_name='profile-name')
   client = session.client('rekognition')
   
   def associate_faces(collection_id, user_id, face_ids):
       """
       Associate stored faces within collection to the given user
   
       :param collection_id: The ID of the collection where user and faces are stored.
       :param user_id: The ID of the user that we want to associate faces to
       :param face_ids: The list of face IDs to be associated to the given user
   
       :return: response of AssociateFaces API
       """
       logger.info(f'Associating faces to user: {user_id}, {face_ids}')
       try:
           response = client.associate_faces(
               CollectionId=collection_id,
               UserId=user_id,
               FaceIds=face_ids
           )
           print(f'- associated {len(response["AssociatedFaces"])} faces')
       except ClientError:
           logger.exception("Failed to associate faces to the given user")
           raise
       else:
           print(response)
           return response
   
   def main():
       face_ids = ["faceId1", "faceId2"]
       collection_id = "collection-id"
       user_id = "user-id"
       associate_faces(collection_id, user_id, face_ids)
   
   if __name__ == "__main__":
       main()