aws rekognition start-project-version
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. 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
Options
| Name | Description |
|---|---|
--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 <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 |