本文為英文版的機器翻譯版本,如內容有任何歧義或不一致之處,概以英文版為準。
搜尋使用者 (人臉識別碼/使用者 ID)
您可以使用 SearchUsers 操作來搜尋集合中符合指定人臉 ID 的人臉。本操作會依據請求的 UserMatchThreshold 以上的最高相似性分數列出傳回的 UserIds 排名。使用者 ID 是在 CreateUsers 作業中建立的。如需詳細資訊,請參閱 管理集合中的使用者。
若要搜尋使用者 (SDK)
-
如果您尚未執行:
-
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。
-
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 和 AWS SDKs。
-
使用下列範例來呼叫 SearchUsers 操作。
- Java
-
此 Java 範例使用 SearchUsers 操作搜尋集合中的使用者。
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 命令會使用 SearchUsers操作搜尋集合中的使用者。
aws rekognition search-users --face-id face-id --collection-id collection-id --region region-name
- Python
-
下列範例會使用 SearchUsers 操作搜尋集合中的使用者。
# 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 操作請求
給定一個 FaceID 或 UserID,SearchUsers 會搜尋指定的 CollectionID 使用者匹配。依預設,SearchUsers 會傳回相似度分數大於 80% 的 UserID。相似性表明 UserID 與提供的 FaceID 或 UserID 匹配的程度。如果傳回多個 UserID,則會依相似度分數最高到最低的順序列出這些 UserID。或者,您可以使用 UserMatchThreshold 來指定不同的值。如需詳細資訊,請參閱 管理集合中的使用者。
以下是使用 UserId 的 SearchUsers 請求範例:
{
"CollectionId": "MyCollection",
"UserId": "demoUser1",
"MaxUsers": 2,
"UserMatchThreshold": 99
}
以下是使用 FaceId 的 SearchUsers 請求範例:
{
"CollectionId": "MyCollection",
"FaceId": "bff43c40-cfa7-4b94-bed8-8a08b2205107",
"MaxUsers": 2,
"UserMatchThreshold": 99
}
SearchUsers 操作回應
如果使用 FaceId 進行搜尋,SearchUser 的回應包括適用於 SearchedFace 的 FaceId,以及每個使用者的 UserMatches、UserId 和 UserStatus 的清單。
{
"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"
}
如果搜尋使用 UserId,SearchUser 的回應除了其他回應單元之外,還包括適用於 UserId 的 SearchedUser。
{
"SearchedUser": {
"UserId": "demoUser1"
},
"UserMatches": [
{
"User": {
"UserId": "demoUser2",
"UserStatus": "ACTIVE"
},
"Similarity": 99.97946166992188
}
],
"FaceModelVersion": "6"
}