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# 搜索用户（人脸 ID /用户 ID）
您可以使用该[SearchUsers](https://docs.aws.amazon.com/rekognition/latest/APIReference/API_SearchUsers.html)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](managing-face-collections.md#collections-manage-users)。
**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](setting-up.md#setting-up-iam)。
1. 安装和配置 AWS CLI 和 AWS SDK。有关更多信息，请参阅 [第 2 步：设置 AWS CLI and AWS 软件开发工具包](setup-awscli-sdk.md)。
1. 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 ID。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 ID，则按相似度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](managing-face-collections.md#collections-manage-users)。
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`UserMatches``UserId`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"
}
```