/AWS1/CL_LOV=>DETECTANOMALIES()
¶
About DetectAnomalies¶
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.
If the model is an image segmentation model, the response also includes segmentation
information for each type of anomaly found in the image.
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.
For more information, see Detecting anomalies in an image in the Amazon Lookout for Vision developer guide.
This operation requires permissions to perform the
lookoutvision:DetectAnomalies
operation.
Method Signature¶
IMPORTING¶
Required arguments:¶
IV_PROJECTNAME
TYPE /AWS1/LOVPROJECTNAME
/AWS1/LOVPROJECTNAME
¶
The name of the project that contains the model version that you want to use.
IV_MODELVERSION
TYPE /AWS1/LOVMODELVERSION
/AWS1/LOVMODELVERSION
¶
The version of the model that you want to use.
IV_BODY
TYPE /AWS1/LOVSTREAM
/AWS1/LOVSTREAM
¶
The unencrypted image bytes that you want to analyze.
IV_CONTENTTYPE
TYPE /AWS1/LOVCONTENTTYPE
/AWS1/LOVCONTENTTYPE
¶
The type of the image passed in
Body
. Valid values areimage/png
(PNG format images) andimage/jpeg
(JPG format images).