Suche nach Benutzern (Gesichts-ID/Benutzer-ID)

Um Benutzer zu suchen (SDK)

1. Wenn Sie dies noch nicht getan haben:

   1. Erstellen oder aktualisieren Sie einen Benutzer mit AmazonRekognitionFullAccess-Berechtigungen. Weitere Informationen finden Sie unter Schritt 1: Einrichten eines AWS-Kontos und Erstellen eines Benutzers.

   2. Installieren und konfigurieren Sie das AWS CLI und das AWS SDKs. Weitere Informationen finden Sie unter Schritt 2: Richten Sie das AWS CLI und ein AWS SDKs.

2. Verwenden Sie die folgenden Beispiele zum Aufrufen der SearchUsers-Operation.

   Java

   In diesem Java-Beispiel werden die Benutzer in einer Sammlung mithilfe der SearchUsers-Operation durchsucht.

   import com.amazonaws.services.rekognition.AmazonRekognition;
   import com.amazonaws.services.rekognition.AmazonRekognitionClientBuilder;
   import com.amazonaws.services.rekognition.model.UserMatch;
   import com.amazonaws.services.rekognition.model.SearchUsersRequest;
   import com.amazonaws.services.rekognition.model.SearchUsersResult;
   import com.amazonaws.services.rekognition.model.UserMatch;
   
   public class SearchUsers {
       //Replace collectionId and faceId with the values you want to use.
   
       public static final String collectionId = "MyCollection";
       public static final String faceId = "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx";
   
       public static final String userd = 'demo-user';
   
       public static void main(String[] args) throws Exception {
   
           AmazonRekognition rekognitionClient = AmazonRekognitionClientBuilder.defaultClient();
   
           // Search collection for faces matching the user id.
           SearchUsersRequest request = new SearchUsersRequest()
                   .withCollectionId(collectionId)
                   .withUserId(userId);
   
           SearchUsersResult result =
                   rekognitionClient.searchUsers(request);
   
           System.out.println("Printing first search result with matched user and similarity score");
           for (UserMatch match: result.getUserMatches()) {
               System.out.println(match.getUser().getUserId() + " with similarity score " + match.getSimilarity());
           }
   
           // Search collection for faces matching the face id.
           SearchUsersRequest request1 = new SearchUsersRequest()
                   .withCollectionId(collectionId)
                   .withFaceId(faceId);
   
           SearchUsersResult result1 =
                   rekognitionClient.searchUsers(request1);
   
           System.out.println("Printing second search result with matched user and similarity score");
           for (UserMatch match: result1.getUserMatches()) {
               System.out.println(match.getUser().getUserId() + " with similarity score " + match.getSimilarity());
           }
       }
   

   AWS CLI

   Dieser AWS CLI Befehl durchsucht die Benutzer in einer Sammlung mit der SearchUsers Operation.

   aws rekognition search-users --face-id face-id --collection-id collection-id --region region-name

   Python

   Das folgende Beispiel sucht die Benutzer in einer Sammlung mit der SearchUsers-Operation.

   # 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
   from botocore.exceptions import ClientError
   import logging
   
   logger = logging.getLogger(__name__)
   session = boto3.Session(profile_name='profile-name')
   client = session.client('rekognition')
   
   def search_users_by_face_id(collection_id, face_id):
       """
       SearchUsers operation with face ID provided as the search source
   
       :param collection_id: The ID of the collection where user and faces are stored.
       :param face_id: The ID of the face in the collection to search for.
   
       :return: response of SearchUsers API
       """
       logger.info(f'Searching for users using a face-id: {face_id}')
       try:
           response = client.search_users(
               CollectionId=collection_id,
               FaceId=face_id
           )
           print(f'- found {len(response["UserMatches"])} matches')
           print([f'- {x["User"]["UserId"]} - {x["Similarity"]}%' for x in response["UserMatches"]])
       except ClientError:
           logger.exception(f'Failed to perform SearchUsers with given face id: {face_id}')
           raise
       else:
           print(response)
           return response
   
   def search_users_by_user_id(collection_id, user_id):
       """
       SearchUsers operation with user ID provided as the search source
   
       :param collection_id: The ID of the collection where user and faces are stored.
       :param user_id: The ID of the user in the collection to search for.
   
       :return: response of SearchUsers API
       """
       logger.info(f'Searching for users using a user-id: {user_id}')
       try:
           response = client.search_users(
               CollectionId=collection_id,
               UserId=user_id
           )
           print(f'- found {len(response["UserMatches"])} matches')
           print([f'- {x["User"]["UserId"]} - {x["Similarity"]}%' for x in response["UserMatches"]])
       except ClientError:
           logger.exception(f'Failed to perform SearchUsers with given face id: {user_id}')
           raise
       else:
           print(response)
           return response
   
   def main():
       collection_id = "collection-id"
       user_id = "user-id"
       face_id = "face_id"
       search_users_by_face_id(collection_id, face_id)
       search_users_by_user_id(collection_id, user_id)
   
   if __name__ == "__main__":
       main()

   anchoranchoranchor
   • Java
   • AWS CLI
   • Python

   In diesem Java-Beispiel werden die Benutzer in einer Sammlung mithilfe der SearchUsers-Operation durchsucht.

   import com.amazonaws.services.rekognition.AmazonRekognition;
   import com.amazonaws.services.rekognition.AmazonRekognitionClientBuilder;
   import com.amazonaws.services.rekognition.model.UserMatch;
   import com.amazonaws.services.rekognition.model.SearchUsersRequest;
   import com.amazonaws.services.rekognition.model.SearchUsersResult;
   import com.amazonaws.services.rekognition.model.UserMatch;
   
   public class SearchUsers {
       //Replace collectionId and faceId with the values you want to use.
   
       public static final String collectionId = "MyCollection";
       public static final String faceId = "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx";
   
       public static final String userd = 'demo-user';
   
       public static void main(String[] args) throws Exception {
   
           AmazonRekognition rekognitionClient = AmazonRekognitionClientBuilder.defaultClient();
   
           // Search collection for faces matching the user id.
           SearchUsersRequest request = new SearchUsersRequest()
                   .withCollectionId(collectionId)
                   .withUserId(userId);
   
           SearchUsersResult result =
                   rekognitionClient.searchUsers(request);
   
           System.out.println("Printing first search result with matched user and similarity score");
           for (UserMatch match: result.getUserMatches()) {
               System.out.println(match.getUser().getUserId() + " with similarity score " + match.getSimilarity());
           }
   
           // Search collection for faces matching the face id.
           SearchUsersRequest request1 = new SearchUsersRequest()
                   .withCollectionId(collectionId)
                   .withFaceId(faceId);
   
           SearchUsersResult result1 =
                   rekognitionClient.searchUsers(request1);
   
           System.out.println("Printing second search result with matched user and similarity score");
           for (UserMatch match: result1.getUserMatches()) {
               System.out.println(match.getUser().getUserId() + " with similarity score " + match.getSimilarity());
           }
       }