[ 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 .
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>
[--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 and can support up to 5 Transaction Pers Second (TPS). Use a higher number to increase the TPS throughput of your model. You are charged for the number of inference units that you use.
--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.
See ‘aws help’ for descriptions of global parameters.