StartProjectVersion
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.
For more information, see Running a trained Amazon Rekognition Custom Labels model.
This operation requires permissions to perform the
rekognition:StartProjectVersion
action.
Request Syntax
{
"MaxInferenceUnits": number
,
"MinInferenceUnits": number
,
"ProjectVersionArn": "string
"
}
Request Parameters
For information about the parameters that are common to all actions, see Common Parameters.
The request accepts the following data in JSON format.
- MaxInferenceUnits
-
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.
Type: Integer
Valid Range: Minimum value of 1.
Required: No
- MinInferenceUnits
-
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.
Use a higher number to increase the TPS throughput of your model. You are charged for the number of inference units that you use.
Type: Integer
Valid Range: Minimum value of 1.
Required: Yes
- ProjectVersionArn
-
The Amazon Resource Name(ARN) of the model version that you want to start.
Type: String
Length Constraints: Minimum length of 20. Maximum length of 2048.
Pattern:
(^arn:[a-z\d-]+:rekognition:[a-z\d-]+:\d{12}:project\/[a-zA-Z0-9_.\-]{1,255}\/version\/[a-zA-Z0-9_.\-]{1,255}\/[0-9]+$)
Required: Yes
Response Syntax
{
"Status": "string"
}
Response Elements
If the action is successful, the service sends back an HTTP 200 response.
The following data is returned in JSON format by the service.
- Status
-
The current running status of the model.
Type: String
Valid Values:
TRAINING_IN_PROGRESS | TRAINING_COMPLETED | TRAINING_FAILED | STARTING | RUNNING | FAILED | STOPPING | STOPPED | DELETING | COPYING_IN_PROGRESS | COPYING_COMPLETED | COPYING_FAILED | DEPRECATED | EXPIRED
Errors
For information about the errors that are common to all actions, see Common Errors.
- AccessDeniedException
-
You are not authorized to perform the action.
HTTP Status Code: 400
- InternalServerError
-
Amazon Rekognition experienced a service issue. Try your call again.
HTTP Status Code: 500
- InvalidParameterException
-
Input parameter violated a constraint. Validate your parameter before calling the API operation again.
HTTP Status Code: 400
- LimitExceededException
-
An Amazon Rekognition service limit was exceeded. For example, if you start too many jobs concurrently, subsequent calls to start operations (ex:
StartLabelDetection
) will raise aLimitExceededException
exception (HTTP status code: 400) until the number of concurrently running jobs is below the Amazon Rekognition service limit.HTTP Status Code: 400
- ProvisionedThroughputExceededException
-
The number of requests exceeded your throughput limit. If you want to increase this limit, contact Amazon Rekognition.
HTTP Status Code: 400
- ResourceInUseException
-
The specified resource is already being used.
HTTP Status Code: 400
- ResourceNotFoundException
-
The resource specified in the request cannot be found.
HTTP Status Code: 400
- ThrottlingException
-
Amazon Rekognition is temporarily unable to process the request. Try your call again.
HTTP Status Code: 500
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following: