startFaceSearch method
Starts the asynchronous search for faces in a collection that match the faces of persons detected in a stored video.
The video must be stored in an Amazon S3 bucket. Use Video to
specify the bucket name and the filename of the video.
StartFaceSearch
returns a job identifier (JobId
)
which you use to get the search results once the search has completed.
When searching is finished, Amazon Rekognition Video publishes a
completion status to the Amazon Simple Notification Service topic that you
specify in NotificationChannel
. To get the search results,
first check that the status value published to the Amazon SNS topic is
SUCCEEDED
. If so, call GetFaceSearch and pass the job
identifier (JobId
) from the initial call to
StartFaceSearch
. For more information, see
procedure-person-search-videos.
May throw AccessDeniedException. May throw IdempotentParameterMismatchException. May throw InvalidParameterException. May throw InvalidS3ObjectException. May throw InternalServerError. May throw VideoTooLargeException. May throw ProvisionedThroughputExceededException. May throw LimitExceededException. May throw ResourceNotFoundException. May throw ThrottlingException.
Parameter collectionId
:
ID of the collection that contains the faces you want to search for.
Parameter video
:
The video you want to search. The video must be stored in an Amazon S3
bucket.
Parameter clientRequestToken
:
Idempotent token used to identify the start request. If you use the same
token with multiple StartFaceSearch
requests, the same
JobId
is returned. Use ClientRequestToken
to
prevent the same job from being accidently started more than once.
Parameter faceMatchThreshold
:
The minimum confidence in the person match to return. For example, don't
return any matches where confidence in matches is less than 70%. The
default value is 80%.
Parameter jobTag
:
An identifier you specify that's returned in the completion notification
that's published to your Amazon Simple Notification Service topic. For
example, you can use JobTag
to group related jobs and
identify them in the completion notification.
Parameter notificationChannel
:
The ARN of the Amazon SNS topic to which you want Amazon Rekognition Video
to publish the completion status of the search.
Implementation
Future<StartFaceSearchResponse> startFaceSearch({
required String collectionId,
required Video video,
String? clientRequestToken,
double? faceMatchThreshold,
String? jobTag,
NotificationChannel? notificationChannel,
}) async {
ArgumentError.checkNotNull(collectionId, 'collectionId');
_s.validateStringLength(
'collectionId',
collectionId,
1,
255,
isRequired: true,
);
ArgumentError.checkNotNull(video, 'video');
_s.validateStringLength(
'clientRequestToken',
clientRequestToken,
1,
64,
);
_s.validateNumRange(
'faceMatchThreshold',
faceMatchThreshold,
0,
100,
);
_s.validateStringLength(
'jobTag',
jobTag,
1,
256,
);
final headers = <String, String>{
'Content-Type': 'application/x-amz-json-1.1',
'X-Amz-Target': 'RekognitionService.StartFaceSearch'
};
final jsonResponse = await _protocol.send(
method: 'POST',
requestUri: '/',
exceptionFnMap: _exceptionFns,
// TODO queryParams
headers: headers,
payload: {
'CollectionId': collectionId,
'Video': video,
if (clientRequestToken != null)
'ClientRequestToken': clientRequestToken,
if (faceMatchThreshold != null)
'FaceMatchThreshold': faceMatchThreshold,
if (jobTag != null) 'JobTag': jobTag,
if (notificationChannel != null)
'NotificationChannel': notificationChannel,
},
);
return StartFaceSearchResponse.fromJson(jsonResponse.body);
}