[ aws . lookoutvision ]
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.
Note
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.
See also: AWS API Documentation
See ‘aws help’ for descriptions of global parameters.
detect-anomalies
--project-name <value>
--model-version <value>
--body <value>
--content-type <value>
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
--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 areimage/png
(PNG format images) andimage/jpeg
(JPG format images).
--cli-input-json
| --cli-input-yaml
(string)
Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton
. If other arguments are provided on the command line, those 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. This may not be specified along with --cli-input-yaml
.
--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
. Similarly, if provided yaml-input
it will print a sample input YAML that can be used with --cli-input-yaml
. If provided with the value output
, it validates the command inputs and returns a sample output JSON for that command.
See ‘aws help’ for descriptions of global parameters.
DetectAnomalyResult -> (structure)
The results of the
DetectAnomalies
operation.Source -> (structure)
The source of the image that was analyzed.
direct
means that the images was supplied from the local computer. No other values are supported.Type -> (string)
The type of the image.
IsAnomalous -> (boolean)
True if the image contains an anomaly, otherwise false.
Confidence -> (float)
The confidence that Amazon Lookout for Vision has in the accuracy of the prediction.