[ aws . rekognition ]

start-face-detection

Description

Starts asynchronous detection of faces in a stored video.

Amazon Rekognition Video can detect faces in a video stored in an Amazon S3 bucket. Use Video to specify the bucket name and the filename of the video. StartFaceDetection returns a job identifier (JobId ) that you use to get the results of the operation. When face detection is finished, Amazon Rekognition Video publishes a completion status to the Amazon Simple Notification Service topic that you specify in NotificationChannel . To get the results of the face detection operation, first check that the status value published to the Amazon SNS topic is SUCCEEDED . If so, call GetFaceDetection and pass the job identifier (JobId ) from the initial call to StartFaceDetection .

For more information, see Detecting Faces in a Stored Video in the Amazon Rekognition Developer Guide.

See also: AWS API Documentation

See ‘aws help’ for descriptions of global parameters.

Synopsis

  start-face-detection
--video <value>
[--client-request-token <value>]
[--notification-channel <value>]
[--face-attributes <value>]
[--job-tag <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
[--cli-auto-prompt <value>]

Options

--video (structure)

The video in which you want to detect faces. The video must be stored in an Amazon S3 bucket.

S3Object -> (structure)

The Amazon S3 bucket name and file name for the video.

Bucket -> (string)

Name of the S3 bucket.

Name -> (string)

S3 object key name.

Version -> (string)

If the bucket is versioning enabled, you can specify the object version.

Shorthand Syntax:

S3Object={Bucket=string,Name=string,Version=string}

JSON Syntax:

{
  "S3Object": {
    "Bucket": "string",
    "Name": "string",
    "Version": "string"
  }
}

--client-request-token (string)

Idempotent token used to identify the start request. If you use the same token with multiple StartFaceDetection requests, the same JobId is returned. Use ClientRequestToken to prevent the same job from being accidently started more than once.

--notification-channel (structure)

The ARN of the Amazon SNS topic to which you want Amazon Rekognition Video to publish the completion status of the face detection operation.

SNSTopicArn -> (string)

The Amazon SNS topic to which Amazon Rekognition to posts the completion status.

RoleArn -> (string)

The ARN of an IAM role that gives Amazon Rekognition publishing permissions to the Amazon SNS topic.

Shorthand Syntax:

SNSTopicArn=string,RoleArn=string

JSON Syntax:

{
  "SNSTopicArn": "string",
  "RoleArn": "string"
}

--face-attributes (string)

The face attributes you want returned.

DEFAULT - The following subset of facial attributes are returned: BoundingBox, Confidence, Pose, Quality and Landmarks.

ALL - All facial attributes are returned.

Possible values:

• DEFAULT

• ALL

--job-tag (string)

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.

--cli-input-json | --cli-input-yaml (string) Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml.

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. Similarly, if provided yaml-input it will print a sample input YAML that can be used with --cli-input-yaml. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.

--cli-auto-prompt (boolean) Automatically prompt for CLI input parameters.

See ‘aws help’ for descriptions of global parameters.

Examples

To detect faces in a video

The following start-face-detection command starts a job to detect faces in the specified video file stored in an Amazon S3 bucket.

aws rekognition start-face-detection
    --video "S3Object={Bucket=MyVideoS3Bucket,Name=MyVideoFile.mpg}"

Output:

{
    "JobId": "1234567890abcdef1234567890abcdef1234567890abcdef1234567890abcdef"
}

For more information, see Detecting Faces in a Stored Video in the Amazon Rekognition Developer Guide.

Output

JobId -> (string)

The identifier for the face detection job. Use JobId to identify the job in a subsequent call to GetFaceDetection .