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
| Name | Description |
|---|---|
--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 |