Rekognition / Client / start_project_version

start_project_version#

Rekognition.Client.start_project_version(**kwargs)#

Note

This operation applies only to Amazon Rekognition Custom Labels.

Starts the running of the version of a model. Starting a model takes a while to complete. To check the current state of the model, use DescribeProjectVersions.

Once the model is running, you can detect custom labels in new images by calling DetectCustomLabels.

Note

You are charged for the amount of time that the model is running. To stop a running model, call StopProjectVersion.

This operation requires permissions to perform the rekognition:StartProjectVersion action.

See also: AWS API Documentation

Request Syntax

response = client.start_project_version(
    ProjectVersionArn='string',
    MinInferenceUnits=123,
    MaxInferenceUnits=123
)
Parameters:

  • ProjectVersionArn (string) –

    [REQUIRED]

    The Amazon Resource Name(ARN) of the model version that you want to start.

  • MinInferenceUnits (integer) –

    [REQUIRED]

    The minimum number of inference units to use. A single inference unit represents 1 hour of processing.

    Use a higher number to increase the TPS throughput of your model. You are charged for the number of inference units that you use.

  • MaxInferenceUnits (integer) – The maximum number of inference units to use for auto-scaling the model. If you don’t specify a value, Amazon Rekognition Custom Labels doesn’t auto-scale the model.

Return type:

dict

Returns:

Response Syntax

{
    'Status': 'TRAINING_IN_PROGRESS'|'TRAINING_COMPLETED'|'TRAINING_FAILED'|'STARTING'|'RUNNING'|'FAILED'|'STOPPING'|'STOPPED'|'DELETING'|'COPYING_IN_PROGRESS'|'COPYING_COMPLETED'|'COPYING_FAILED'|'DEPRECATED'|'EXPIRED'
}

Response Structure

  • (dict) –

    • Status (string) –

      The current running status of the model.

Exceptions