@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class AbstractAmazonLookoutforVision extends Object implements AmazonLookoutforVision
AmazonLookoutforVision. Convenient method forms pass through to the corresponding
overload that takes a request object, which throws an UnsupportedOperationException.ENDPOINT_PREFIX| Modifier and Type | Method and Description |
|---|---|
CreateDatasetResult |
createDataset(CreateDatasetRequest request)
Creates a new dataset in an Amazon Lookout for Vision project.
|
CreateModelResult |
createModel(CreateModelRequest request)
Creates a new version of a model within an an Amazon Lookout for Vision project.
|
CreateProjectResult |
createProject(CreateProjectRequest request)
Creates an empty Amazon Lookout for Vision project.
|
DeleteDatasetResult |
deleteDataset(DeleteDatasetRequest request)
Deletes an existing Amazon Lookout for Vision
dataset. |
DeleteModelResult |
deleteModel(DeleteModelRequest request)
Deletes an Amazon Lookout for Vision model.
|
DeleteProjectResult |
deleteProject(DeleteProjectRequest request)
Deletes an Amazon Lookout for Vision project.
|
DescribeDatasetResult |
describeDataset(DescribeDatasetRequest request)
Describe an Amazon Lookout for Vision dataset.
|
DescribeModelResult |
describeModel(DescribeModelRequest request)
Describes a version of an Amazon Lookout for Vision model.
|
DescribeProjectResult |
describeProject(DescribeProjectRequest request)
Describes an Amazon Lookout for Vision project.
|
DetectAnomaliesResult |
detectAnomalies(DetectAnomaliesRequest request)
Detects anomalies in an image that you supply.
|
ResponseMetadata |
getCachedResponseMetadata(AmazonWebServiceRequest request)
Returns additional metadata for a previously executed successful request, typically used for debugging issues
where a service isn't acting as expected.
|
ListDatasetEntriesResult |
listDatasetEntries(ListDatasetEntriesRequest request)
Lists the JSON Lines within a dataset.
|
ListModelsResult |
listModels(ListModelsRequest request)
Lists the versions of a model in an Amazon Lookout for Vision project.
|
ListProjectsResult |
listProjects(ListProjectsRequest request)
Lists the Amazon Lookout for Vision projects in your AWS account.
|
void |
shutdown()
Shuts down this client object, releasing any resources that might be held open.
|
StartModelResult |
startModel(StartModelRequest request)
Starts the running of the version of an Amazon Lookout for Vision model.
|
StopModelResult |
stopModel(StopModelRequest request)
Stops a running model.
|
UpdateDatasetEntriesResult |
updateDatasetEntries(UpdateDatasetEntriesRequest request)
Adds one or more JSON Line entries to a dataset.
|
public CreateDatasetResult createDataset(CreateDatasetRequest request)
AmazonLookoutforVision
Creates a new dataset in an Amazon Lookout for Vision project. CreateDataset can create a training
or a test dataset from a valid dataset source (DatasetSource).
If you want a single dataset project, specify train for the value of DatasetType.
To have a project with separate training and test datasets, call CreateDataset twice. On the first
call, specify train for the value of DatasetType. On the second call, specify
test for the value of DatasetType. of dataset with
createDataset in interface AmazonLookoutforVisionpublic CreateModelResult createModel(CreateModelRequest request)
AmazonLookoutforVision
Creates a new version of a model within an an Amazon Lookout for Vision project. CreateModel is an
asynchronous operation in which Amazon Lookout for Vision trains, tests, and evaluates a new version of a model.
To get the current status, check the Status field returned in the response from
DescribeModel.
If the project has a single dataset, Amazon Lookout for Vision internally splits the dataset to create a training and a test dataset. If the project has a training and a test dataset, Lookout for Vision uses the respective datasets to train and test the model.
After training completes, the evaluation metrics are stored at the location specified in
OutputConfig.
createModel in interface AmazonLookoutforVisionpublic CreateProjectResult createProject(CreateProjectRequest request)
AmazonLookoutforVisionCreates an empty Amazon Lookout for Vision project. After you create the project, add a dataset by calling CreateDataset.
createProject in interface AmazonLookoutforVisionpublic DeleteDatasetResult deleteDataset(DeleteDatasetRequest request)
AmazonLookoutforVision
Deletes an existing Amazon Lookout for Vision dataset.
If your the project has a single dataset, you must create a new dataset before you can create a model.
If you project has a training dataset and a test dataset consider the following.
If you delete the test dataset, your project reverts to a single dataset project. If you then train the model, Amazon Lookout for Vision internally splits the remaining dataset into a training and test dataset.
If you delete the training dataset, you must create a training dataset before you can create a model.
It might take a while to delete the dataset. To check the current status, check the Status field in
the response from a call to DescribeDataset.
deleteDataset in interface AmazonLookoutforVisionpublic DeleteModelResult deleteModel(DeleteModelRequest request)
AmazonLookoutforVisionDeletes an Amazon Lookout for Vision model. You can't delete a running model. To stop a running model, use the StopModel operation.
deleteModel in interface AmazonLookoutforVisionpublic DeleteProjectResult deleteProject(DeleteProjectRequest request)
AmazonLookoutforVisionDeletes an Amazon Lookout for Vision project.
To delete a project, you must first delete each version of the model associated with the project. To delete a model use the DeleteModel operation.
The training and test datasets are deleted automatically for you. The images referenced by the training and test datasets aren't deleted.
deleteProject in interface AmazonLookoutforVisionpublic DescribeDatasetResult describeDataset(DescribeDatasetRequest request)
AmazonLookoutforVisionDescribe an Amazon Lookout for Vision dataset.
describeDataset in interface AmazonLookoutforVisionpublic DescribeModelResult describeModel(DescribeModelRequest request)
AmazonLookoutforVisionDescribes a version of an Amazon Lookout for Vision model.
describeModel in interface AmazonLookoutforVisionpublic DescribeProjectResult describeProject(DescribeProjectRequest request)
AmazonLookoutforVisionDescribes an Amazon Lookout for Vision project.
describeProject in interface AmazonLookoutforVisionpublic DetectAnomaliesResult detectAnomalies(DetectAnomaliesRequest request)
AmazonLookoutforVisionDetects 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.
detectAnomalies in interface AmazonLookoutforVisionpublic ListDatasetEntriesResult listDatasetEntries(ListDatasetEntriesRequest request)
AmazonLookoutforVisionLists the JSON Lines within a dataset. An Amazon Lookout for Vision JSON Line contains the anomaly information for a single image, including the image location and the assigned label.
listDatasetEntries in interface AmazonLookoutforVisionpublic ListModelsResult listModels(ListModelsRequest request)
AmazonLookoutforVisionLists the versions of a model in an Amazon Lookout for Vision project.
listModels in interface AmazonLookoutforVisionpublic ListProjectsResult listProjects(ListProjectsRequest request)
AmazonLookoutforVisionLists the Amazon Lookout for Vision projects in your AWS account.
listProjects in interface AmazonLookoutforVisionpublic StartModelResult startModel(StartModelRequest request)
AmazonLookoutforVisionStarts the running of the version of an Amazon Lookout for Vision model. Starting a model takes a while to complete. To check the current state of the model, use DescribeModel.
Once the model is running, you can detect custom labels in new images by calling DetectAnomalies.
You are charged for the amount of time that the model is running. To stop a running model, call StopModel.
startModel in interface AmazonLookoutforVisionpublic StopModelResult stopModel(StopModelRequest request)
AmazonLookoutforVisionStops a running model. The operation might take a while to complete. To check the current status, call DescribeModel.
stopModel in interface AmazonLookoutforVisionpublic UpdateDatasetEntriesResult updateDatasetEntries(UpdateDatasetEntriesRequest request)
AmazonLookoutforVisionAdds one or more JSON Line entries to a dataset. A JSON Line includes information about an image used for training or testing an Amazon Lookout for Vision model. The following is an example JSON Line.
Updating a dataset might take a while to complete. To check the current status, call DescribeDataset and
check the Status field in the response.
updateDatasetEntries in interface AmazonLookoutforVisionpublic void shutdown()
AmazonLookoutforVisionshutdown in interface AmazonLookoutforVisionpublic ResponseMetadata getCachedResponseMetadata(AmazonWebServiceRequest request)
AmazonLookoutforVisionResponse metadata is only cached for a limited period of time, so if you need to access this extra diagnostic information for an executed request, you should use this method to retrieve it as soon as possible after executing a request.
getCachedResponseMetadata in interface AmazonLookoutforVisionrequest - The originally executed request.