[ aws . rekognition ]
start-project-version¶
Description¶
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 .
For more information, see Running a trained Amazon Rekognition Custom Labels model in the Amazon Rekognition Custom Labels Guide.
This operation requires permissions to perform the rekognition:StartProjectVersion action.
See also: AWS API Documentation
See ‘aws help’ for descriptions of global parameters.
Synopsis¶
start-project-version
--project-version-arn <value>
--min-inference-units <value>
[--max-inference-units <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
Options¶
--project-version-arn (string)
The Amazon Resource Name(ARN) of the model version that you want to start.
--min-inference-units (integer)
The minimum number of inference units to use. A single inference unit represents 1 hour of processing.
For information about the number of transactions per second (TPS) that an inference unit can support, see Running a trained Amazon Rekognition Custom Labels model in the Amazon Rekognition Custom Labels Guide.
Use a higher number to increase the TPS throughput of your model. You are charged for the number of inference units that you use.
--max-inference-units (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.
--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.
See ‘aws help’ for descriptions of global parameters.