GetFaceDetectionResponse ¶

class GetFaceDetectionResponse(TypedDict, closed=True):
    job_status: NotRequired["capo_rekognition.types.video_job_status.VideoJobStatus"]
    """<p>The current status of the face detection job.</p>"""
    status_message: NotRequired["capo_rekognition.types.status_message.StatusMessage"]
    """<p>If the job fails, <code>StatusMessage</code> provides a descriptive error message.</p>"""
    video_metadata: NotRequired["capo_rekognition.types.video_metadata.VideoMetadata"]
    """<p>Information about a video that Amazon Rekognition Video analyzed. <code>Videometadata</code> is returned in every page of paginated responses from a Amazon Rekognition video operation.</p>"""
    next_token: NotRequired["capo_rekognition.types.pagination_token.PaginationToken"]
    """<p>If the response is truncated, Amazon Rekognition returns this token that you can use in the subsequent request to retrieve the next set of faces. </p>"""
    faces: NotRequired["capo_rekognition.types.face_detections.FaceDetections"]
    """<p>An array of faces detected in the video. Each element contains a detected face's details and the time, in milliseconds from the start of the video, the face was detected. </p>"""
    job_id: NotRequired["capo_rekognition.types.job_id.JobId"]
    """<p>Job identifier for the face detection operation for which you want to obtain results. The job identifer is returned by an initial call to StartFaceDetection.</p>"""
    video: NotRequired["capo_rekognition.types.video.Video"]
    job_tag: NotRequired["capo_rekognition.types.job_tag.JobTag"]
    """<p>A job identifier specified in the call to StartFaceDetection and returned in the job completion notification sent to your Amazon Simple Notification Service topic.</p>"""