[ aws . rekognition ]

get-label-detection

Description

Gets the label detection results of a Amazon Rekognition Video analysis started by StartLabelDetection .

The label detection operation is started by a call to StartLabelDetection which returns a job identifier (JobId ). When the label detection operation finishes, Amazon Rekognition publishes a completion status to the Amazon Simple Notification Service topic registered in the initial call to StartlabelDetection . To get the results of the label detection operation, first check that the status value published to the Amazon SNS topic is SUCCEEDED . If so, call GetLabelDetection and pass the job identifier (JobId ) from the initial call to StartLabelDetection .

GetLabelDetection returns an array of detected labels (Labels ) sorted by the time the labels were detected. You can also sort by the label name by specifying NAME for the SortBy input parameter.

The labels returned include the label name, the percentage confidence in the accuracy of the detected label, and the time the label was detected in the video.

The returned labels also include bounding box information for common objects, a hierarchical taxonomy of detected labels, and the version of the label model used for detection.

Use MaxResults parameter to limit the number of labels returned. If there are more results than specified in MaxResults , the value of NextToken in the operation response contains a pagination token for getting the next set of results. To get the next page of results, call GetlabelDetection and populate the NextToken request parameter with the token value returned from the previous call to GetLabelDetection .

See also: AWS API Documentation

Synopsis

  get-label-detection
--job-id <value>
[--max-results <value>]
[--next-token <value>]
[--sort-by <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
[--debug]
[--endpoint-url <value>]
[--no-verify-ssl]
[--no-paginate]
[--output <value>]
[--query <value>]
[--profile <value>]
[--region <value>]
[--version <value>]
[--color <value>]
[--no-sign-request]
[--ca-bundle <value>]
[--cli-read-timeout <value>]
[--cli-connect-timeout <value>]
[--cli-binary-format <value>]
[--no-cli-pager]
[--cli-auto-prompt]
[--no-cli-auto-prompt]

Options

--job-id (string)

Job identifier for the label detection operation for which you want results returned. You get the job identifer from an initial call to StartlabelDetection .

--max-results (integer)

Maximum number of results to return per paginated call. The largest value you can specify is 1000. If you specify a value greater than 1000, a maximum of 1000 results is returned. The default value is 1000.

--next-token (string)

If the previous response was incomplete (because there are more labels to retrieve), Amazon Rekognition Video returns a pagination token in the response. You can use this pagination token to retrieve the next set of labels.

--sort-by (string)

Sort to use for elements in the Labels array. Use TIMESTAMP to sort array elements by the time labels are detected. Use NAME to alphabetically group elements for a label together. Within each label group, the array element are sorted by detection confidence. The default sort is by TIMESTAMP .

Possible values:

• NAME

• TIMESTAMP

--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. The generated JSON skeleton is not stable between versions of the AWS CLI and there are no backwards compatibility guarantees in the JSON skeleton generated.

Global Options

--debug (boolean)

Turn on debug logging.

--endpoint-url (string)

Override command’s default URL with the given URL.

--no-verify-ssl (boolean)

By default, the AWS CLI uses SSL when communicating with AWS services. For each SSL connection, the AWS CLI will verify SSL certificates. This option overrides the default behavior of verifying SSL certificates.

--no-paginate (boolean)

Disable automatic pagination.

--output (string)

The formatting style for command output.

• json

• text

• table

• yaml

• yaml-stream

--query (string)

A JMESPath query to use in filtering the response data.

--profile (string)

Use a specific profile from your credential file.

--region (string)

The region to use. Overrides config/env settings.

--version (string)

Display the version of this tool.

--color (string)

Turn on/off color output.

• on

• off

• auto

--no-sign-request (boolean)

Do not sign requests. Credentials will not be loaded if this argument is provided.

--ca-bundle (string)

The CA certificate bundle to use when verifying SSL certificates. Overrides config/env settings.

--cli-read-timeout (int)

The maximum socket read time in seconds. If the value is set to 0, the socket read will be blocking and not timeout. The default value is 60 seconds.

--cli-connect-timeout (int)

The maximum socket connect time in seconds. If the value is set to 0, the socket connect will be blocking and not timeout. The default value is 60 seconds.

--cli-binary-format (string)

The formatting style to be used for binary blobs. The default format is base64. The base64 format expects binary blobs to be provided as a base64 encoded string. The raw-in-base64-out format preserves compatibility with AWS CLI V1 behavior and binary values must be passed literally. When providing contents from a file that map to a binary blob fileb:// will always be treated as binary and use the file contents directly regardless of the cli-binary-format setting. When using file:// the file contents will need to properly formatted for the configured cli-binary-format.

• base64

• raw-in-base64-out

--no-cli-pager (boolean)

Disable cli pager for output.

--cli-auto-prompt (boolean)

Automatically prompt for CLI input parameters.

--no-cli-auto-prompt (boolean)

Disable automatically prompt for CLI input parameters.

Examples

Note

To use the following examples, you must have the AWS CLI installed and configured. See the Getting started guide in the AWS CLI User Guide for more information.

Unless otherwise stated, all examples have unix-like quotation rules. These examples will need to be adapted to your terminal’s quoting rules. See Using quotation marks with strings in the AWS CLI User Guide .

To get the results of an objects and scenes detection operation

The following get-label-detection command displays the results of an objects and scenes detection operation that you started previously by calling start-label-detection.

aws rekognition get-label-detection  \
    --job-id 1234567890abcdef1234567890abcdef1234567890abcdef1234567890abcdef

Output:

{
    "Labels": [
        {
            "Timestamp": 0,
            "Label": {
                "Instances": [],
                "Confidence": 50.19071578979492,
                "Parents": [
                    {
                        "Name": "Person"
                    },
                    {
                        "Name": "Crowd"
                    }
                ],
                "Name": "Audience"
            }
        },
        {
            "Timestamp": 0,
            "Label": {
                "Instances": [],
                "Confidence": 55.74115753173828,
                "Parents": [
                    {
                        "Name": "Room"
                    },
                    {
                        "Name": "Indoors"
                    },
                    {
                        "Name": "School"
                    }
                ],
                "Name": "Classroom"
            }
        }
    ],
    "JobStatus": "SUCCEEDED",
    "LabelModelVersion": "2.0",
    "VideoMetadata": {
        "Format": "QuickTime / MOV",
        "FrameRate": 29.970617294311523,
        "Codec": "h264",
        "DurationMillis": 6806,
        "FrameHeight": 1080,
        "FrameWidth": 1920
    },
    "NextToken": "BMugzAi4L72IERzQdbpyMQuEFBsjlo5W0Yx3mfG+sR9mm98E1/CpObenspRfs/5FBQFs4X7G"
}

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

Output

JobStatus -> (string)

The current status of the label detection job.

StatusMessage -> (string)

If the job fails, StatusMessage provides a descriptive error message.

VideoMetadata -> (structure)

Information about a video that Amazon Rekognition Video analyzed. Videometadata is returned in every page of paginated responses from a Amazon Rekognition video operation.

Codec -> (string)

Type of compression used in the analyzed video.

DurationMillis -> (long)

Length of the video in milliseconds.

Format -> (string)

Format of the analyzed video. Possible values are MP4, MOV and AVI.

FrameRate -> (float)

Number of frames per second in the video.

FrameHeight -> (long)

Vertical pixel dimension of the video.

FrameWidth -> (long)

Horizontal pixel dimension of the video.

ColorRange -> (string)

A description of the range of luminance values in a video, either LIMITED (16 to 235) or FULL (0 to 255).

NextToken -> (string)

If the response is truncated, Amazon Rekognition Video returns this token that you can use in the subsequent request to retrieve the next set of labels.

Labels -> (list)

An array of labels detected in the video. Each element contains the detected label and the time, in milliseconds from the start of the video, that the label was detected.

(structure)

Information about a label detected in a video analysis request and the time the label was detected in the video.

Timestamp -> (long)

Time, in milliseconds from the start of the video, that the label was detected.

Label -> (structure)

Details about the detected label.

Name -> (string)

The name (label) of the object or scene.

Confidence -> (float)

Level of confidence.

Instances -> (list)

If Label represents an object, Instances contains the bounding boxes for each instance of the detected object. Bounding boxes are returned for common object labels such as people, cars, furniture, apparel or pets.

(structure)

An instance of a label returned by Amazon Rekognition Image ( DetectLabels ) or by Amazon Rekognition Video ( GetLabelDetection ).

BoundingBox -> (structure)

The position of the label instance on the image.

Width -> (float)

Width of the bounding box as a ratio of the overall image width.

Height -> (float)

Height of the bounding box as a ratio of the overall image height.

Left -> (float)

Left coordinate of the bounding box as a ratio of overall image width.

Top -> (float)

Top coordinate of the bounding box as a ratio of overall image height.

Confidence -> (float)

The confidence that Amazon Rekognition has in the accuracy of the bounding box.

Parents -> (list)

The parent labels for a label. The response includes all ancestor labels.

(structure)

A parent label for a label. A label can have 0, 1, or more parents.

Name -> (string)

The name of the parent label.

LabelModelVersion -> (string)

Version number of the label detection model that was used to detect labels.