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[ aws . rekognition ]

start-media-analysis-job

Description

Initiates a new media analysis job. Accepts a manifest file in an Amazon S3 bucket. The output is a manifest file and a summary of the manifest stored in the Amazon S3 bucket.

See also: AWS API Documentation

Synopsis

  start-media-analysis-job
[--client-request-token <value>]
[--job-name <value>]
--operations-config <value>
--input <value>
--output-config <value>
[--kms-key-id <value>]
[--cli-input-json <value>]
[--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>]

Options

--client-request-token (string)

Idempotency token used to prevent the accidental creation of duplicate versions. If you use the same token with multiple StartMediaAnalysisJobRequest requests, the same response is returned. Use ClientRequestToken to prevent the same request from being processed more than once.

--job-name (string)

The name of the job. Does not have to be unique.

--operations-config (structure)

Configuration options for the media analysis job to be created.

DetectModerationLabels -> (structure)

Contains configuration options for a DetectModerationLabels job.

MinConfidence -> (float)

Specifies the minimum confidence level for the moderation labels to return. Amazon Rekognition doesn't return any labels with a confidence level lower than this specified value.

ProjectVersion -> (string)

Specifies the custom moderation model to be used during the label detection job. If not provided the pre-trained model is used.

Shorthand Syntax:

DetectModerationLabels={MinConfidence=float,ProjectVersion=string}

JSON Syntax:

{
  "DetectModerationLabels": {
    "MinConfidence": float,
    "ProjectVersion": "string"
  }
}

--input (structure)

Input data to be analyzed by the job.

S3Object -> (structure)

Provides the S3 bucket name and object name.

The region for the S3 bucket containing the S3 object must match the region you use for Amazon Rekognition operations.

For Amazon Rekognition to process an S3 object, the user must have permission to access the S3 object. For more information, see How Amazon Rekognition works with IAM in the Amazon Rekognition Developer Guide.

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"
  }
}

--output-config (structure)

The Amazon S3 bucket location to store the results.

S3Bucket -> (string)

Specifies the Amazon S3 bucket to contain the output of the media analysis job.

S3KeyPrefix -> (string)

Specifies the Amazon S3 key prefix that comes after the name of the bucket you have designated for storage.

Shorthand Syntax:

S3Bucket=string,S3KeyPrefix=string

JSON Syntax:

{
  "S3Bucket": "string",
  "S3KeyPrefix": "string"
}

--kms-key-id (string)

The identifier of customer managed AWS KMS key (name or ARN). The key is used to encrypt images copied into the service. The key is also used to encrypt results and manifest files written to the output Amazon S3 bucket.

--cli-input-json (string) Performs service operation based on the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, the CLI 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.

--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. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.

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. If automatic pagination is disabled, the AWS CLI will only make one call, for the first page of results.

--output (string)

The formatting style for command output.

  • json
  • text
  • table

--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.

Output

JobId -> (string)

Identifier for the created job.