fn start_face_search(
        &self,
        input: StartFaceSearchRequest,
    ) -> RusotoFuture<StartFaceSearchResponse, StartFaceSearchError> {
        let mut request = SignedRequest::new("POST", "rekognition", &self.region, "/");

        request.set_content_type("application/x-amz-json-1.1".to_owned());
        request.add_header("x-amz-target", "RekognitionService.StartFaceSearch");
        let encoded = serde_json::to_string(&input).unwrap();
        request.set_payload(Some(encoded.into_bytes()));

        self.client.sign_and_dispatch(request, |response| {
            if response.status.is_success() {
                Box::new(response.buffer().from_err().map(|response| {
                    let mut body = response.body;

                    if body.is_empty() || body == b"null" {
                        body = b"{}".to_vec();
                    }

                    serde_json::from_str::<StartFaceSearchResponse>(
                        String::from_utf8_lossy(body.as_ref()).as_ref(),
                    )
                    .unwrap()
                }))
            } else {
                Box::new(
                    response
                        .buffer()
                        .from_err()
                        .and_then(|response| Err(StartFaceSearchError::from_response(response))),
                )
            }
        })
    }
/// <p>Starts the asynchronous search for faces in a collection that match the faces of persons detected in a stored video.</p> <p>The video must be stored in an Amazon S3 bucket. Use <a>Video</a> to specify the bucket name and the filename of the video. <code>StartFaceSearch</code> returns a job identifier (<code>JobId</code>) 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 <code>NotificationChannel</code>. To get the search results, first check that the status value published to the Amazon SNS topic is <code>SUCCEEDED</code>. If so, call and pass the job identifier (<code>JobId</code>) from the initial call to <code>StartFaceSearch</code>. For more information, see <a>collections-search-person</a>.</p>
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 and pass the job identifier (JobId) from the initial call to StartFaceSearch. For more information, see collections-search-person.
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 and pass the job identifier ( JobId ) from the initial call to StartFaceSearch . For more information see collections - search - person .
fn start_face_search(
        &self,
        input: StartFaceSearchRequest,
    ) -> RusotoFuture<StartFaceSearchResponse, StartFaceSearchError> {
        let mut request = SignedRequest::new("POST", "rekognition", &self.region, "/");
        request.set_content_type("application/x-amz-json-1.1".to_owned());
        request.add_header("x-amz-target", "RekognitionService.StartFaceSearch");
        let encoded = serde_json::to_string(&input).unwrap();
        request.set_payload(Some(encoded.into_bytes()));
        self.client.sign_and_dispatch(request, |response| {
            if response.status.is_success() {
                Box::new(response.buffer().from_err().map(|response| {
                    let mut body = response.body;
                    if body.is_empty() || body == b"null" {
                        body = b"{}".to_vec();
                    }
                    serde_json::from_str::<StartFaceSearchResponse>(
                        String::from_utf8_lossy(body.as_ref()).as_ref(),
                    )
                    .unwrap()
                }))
            } else {
                Box::new(
                    response
                        .buffer()
                        .from_err()
                        .and_then(|response| Err(StartFaceSearchError::from_response(response))),
                )
            }
        })
    }
fn start_face_search ( & self , input : StartFaceSearchRequest , ) -> RusotoFuture < StartFaceSearchResponse , StartFaceSearchError > { let mut request = SignedRequest :: new ( " " , " " , & self . region , " " ) ; request . set_content_type ( " " . to_owned ( ) ) ; request . add_header ( " " , " " ) ; let encoded = serde_json :: to_string ( & input ) . unwrap ( ) ; request . set_payload ( Some ( encoded . into_bytes ( ) ) ) ; self . client . sign_and_dispatch ( request , | response | { if response . status . is_success ( ) { Box :: new ( response . buffer ( ) . from_err ( ) . map ( | response | { let mut body = response . body ; if body . is_empty ( ) || body == b" " { body = b" " . to_vec ( ) ; } serde_json :: from_str :: < StartFaceSearchResponse > ( String :: from_utf8_lossy ( body . as_ref ( ) ) . as_ref ( ) , ) . unwrap ( ) } ) ) } else { Box :: new ( response . buffer ( ) . from_err ( ) . and_then ( | response | Err ( StartFaceSearchError :: from_response ( response ) ) ) , ) } } ) }
<p>Starts the asynchronous search for faces in a collection that match the faces of persons detected in a stored video.</p> <p>The video must be stored in an Amazon S3 bucket.
<p > Starts the asynchronous search for faces in a collection that match the faces of persons detected in a stored video . < / p > <p > The video must be stored in an Amazon S3 bucket .
&self
input
StartFaceSearchRequest
&self
input
StartFaceSearchRequest