aws lookoutvision detect-anomalies

Detects anomalies in an image that you supply. The response from DetectAnomalies includes a boolean prediction that the image contains one or more anomalies and a confidence value for the prediction. Before calling DetectAnomalies, you must first start your model with the StartModel operation. You are charged for the amount of time, in minutes, that a model runs and for the number of anomaly detection units that your model uses. If you are not using a model, use the StopModel operation to stop your model. This operation requires permissions to perform the lookoutvision:DetectAnomalies operation

Options

NameDescription
--project-name <string>The name of the project that contains the model version that you want to use
--model-version <string>The version of the model that you want to use
--body <blob>The unencrypted image bytes that you want to analyze
--content-type <string>The type of the image passed in Body. Valid values are image/png (PNG format images) and image/jpeg (JPG format images)
--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