搜索用户（人脸 ID /用户 ID）

您可以使用该SearchUsers操作在指定集合中搜索与提供的面容 ID 或用户 ID 相匹配的用户。该操作列出了按高于请求 UserMatchThreshold值的最高相似度分数UserIds排名的返回结果。用户 ID 是在 CreateUsers 操作中创建的。有关更多信息，请参阅 在集合中管理用户。

搜索用户 (SDK)

1. 如果您尚未执行以下操作，请：

   1. 使用 AmazonRekognitionFullAccess 权限创建或更新用户。有关更多信息，请参阅 步骤 1：设置 AWS 账户并创建用户。

   2. 安装并配置 AWS CLI 和 AWS SDKs。有关更多信息，请参阅 第 2 步：设置 AWS CLI 和 AWS SDKs。

2. 使用以下示例调用 SearchUsers 操作。

   Java

   此 Java 示例使用 SearchUsers 操作搜索集合中的用户。

   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

   此 AWS CLI 命令使用该SearchUsers操作在集合中搜索用户。

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

   Python

   以下示例使用 SearchUsers 操作搜索集合中的用户。

   # 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()

SearchUsers 操作请求

给定 FaceID 或用户 ID SearchUsers ，在指定的 CollectionId 中搜索用户匹配项。默认情况下， SearchUsers 返回相似度分数大于 80% 的用户IDs 。相似度表示用户 ID 与提供的 FaceID 或用户 ID 的匹配程度。如果返回多个用户IDs ，则按相似度分数最高到最低的顺序列出。或者，您可以使用 UserMatchThreshold 来指定不同的值。有关更多信息，请参阅 在集合中管理用户。

以下是使用以下 SearchUsers 请求的示例UserId：

{
   "CollectionId": "MyCollection",
   "UserId": "demoUser1",
   "MaxUsers": 2,
   "UserMatchThreshold": 99
}
            

以下是使用以下 SearchUsers 请求的示例FaceId：

{
    "CollectionId": "MyCollection",
    "FaceId": "bff43c40-cfa7-4b94-bed8-8a08b2205107",
    "MaxUsers": 2,
    "UserMatchThreshold": 99
}
            

SearchUsers 操作响应

如果使用 a 进行搜索FaceId，则对FaceId的响应将 SearchUsers SearchedFace包括每个用户的列表以及UserMatchesUserId和UserStatus的列表。

{
    "SearchedFace": {
        "FaceId": "bff43c40-cfa7-4b94-bed8-8a08b2205107"
    }, 
    "UserMatches": [
        {
            "User": {
                "UserId": "demoUser1", 
                "UserStatus": "ACTIVE"
            }, 
            "Similarity": 100.0
        }, 
        {
            "User": {
                "UserId": "demoUser2", 
                "UserStatus": "ACTIVE"
            }, 
            "Similarity": 99.97946166992188
        }
    ], 
    "FaceModelVersion": "6"
}

            

如果使用 a 进行搜索UserId，则除了其他响应元素外SearchedUser，的响应还 SearchUsers 包括对的。UserId

{
    "SearchedUser": {
        "UserId": "demoUser1"
    }, 
    "UserMatches": [
        {
            "User": {
                "UserId": "demoUser2", 
                "UserStatus": "ACTIVE"
            }, 
            "Similarity": 99.97946166992188
        }
    ], 
    "FaceModelVersion": "6"
}