Rekognition / Client / start_project_version
start_project_version#
- Rekognition.Client.start_project_version(**kwargs)#
- 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:StartProjectVersionaction.- 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. - 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. 
- 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' } - Response Structure- (dict) – - Status (string) – - The current running status of the model. 
 
 
 - Exceptions- Rekognition.Client.exceptions.ResourceNotFoundException
- Rekognition.Client.exceptions.ResourceInUseException
- Rekognition.Client.exceptions.LimitExceededException
- Rekognition.Client.exceptions.InvalidParameterException
- Rekognition.Client.exceptions.AccessDeniedException
- Rekognition.Client.exceptions.InternalServerError
- Rekognition.Client.exceptions.ThrottlingException
- Rekognition.Client.exceptions.ProvisionedThroughputExceededException