@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public interface AmazonLookoutforVision
Note: Do not directly implement this interface, new methods are added to it regularly. Extend from
AbstractAmazonLookoutforVision
instead.
This is the Amazon Lookout for Vision API Reference. It provides descriptions of actions, data types, common parameters, and common errors.
Amazon Lookout for Vision enables you to find visual defects in industrial products, accurately and at scale. It uses computer vision to identify missing components in an industrial product, damage to vehicles or structures, irregularities in production lines, and even minuscule defects in silicon wafers — or any other physical item where quality is important such as a missing capacitor on printed circuit boards.
Modifier and Type | Field and Description |
---|---|
static String |
ENDPOINT_PREFIX
The region metadata service name for computing region endpoints.
|
Modifier and Type | Method and Description |
---|---|
CreateDatasetResult |
createDataset(CreateDatasetRequest createDatasetRequest)
Creates a new dataset in an Amazon Lookout for Vision project.
|
CreateModelResult |
createModel(CreateModelRequest createModelRequest)
Creates a new version of a model within an an Amazon Lookout for Vision project.
|
CreateProjectResult |
createProject(CreateProjectRequest createProjectRequest)
Creates an empty Amazon Lookout for Vision project.
|
DeleteDatasetResult |
deleteDataset(DeleteDatasetRequest deleteDatasetRequest)
Deletes an existing Amazon Lookout for Vision
dataset . |
DeleteModelResult |
deleteModel(DeleteModelRequest deleteModelRequest)
Deletes an Amazon Lookout for Vision model.
|
DeleteProjectResult |
deleteProject(DeleteProjectRequest deleteProjectRequest)
Deletes an Amazon Lookout for Vision project.
|
DescribeDatasetResult |
describeDataset(DescribeDatasetRequest describeDatasetRequest)
Describe an Amazon Lookout for Vision dataset.
|
DescribeModelResult |
describeModel(DescribeModelRequest describeModelRequest)
Describes a version of an Amazon Lookout for Vision model.
|
DescribeProjectResult |
describeProject(DescribeProjectRequest describeProjectRequest)
Describes an Amazon Lookout for Vision project.
|
DetectAnomaliesResult |
detectAnomalies(DetectAnomaliesRequest detectAnomaliesRequest)
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 listDatasetEntriesRequest)
Lists the JSON Lines within a dataset.
|
ListModelsResult |
listModels(ListModelsRequest listModelsRequest)
Lists the versions of a model in an Amazon Lookout for Vision project.
|
ListProjectsResult |
listProjects(ListProjectsRequest listProjectsRequest)
Lists the Amazon Lookout for Vision projects in your AWS account.
|
ListTagsForResourceResult |
listTagsForResource(ListTagsForResourceRequest listTagsForResourceRequest)
Returns a list of tags attached to the specified Amazon Lookout for Vision model.
|
void |
shutdown()
Shuts down this client object, releasing any resources that might be held open.
|
StartModelResult |
startModel(StartModelRequest startModelRequest)
Starts the running of the version of an Amazon Lookout for Vision model.
|
StopModelResult |
stopModel(StopModelRequest stopModelRequest)
Stops the hosting of a running model.
|
TagResourceResult |
tagResource(TagResourceRequest tagResourceRequest)
Adds one or more key-value tags to an Amazon Lookout for Vision model.
|
UntagResourceResult |
untagResource(UntagResourceRequest untagResourceRequest)
Removes one or more tags from an Amazon Lookout for Vision model.
|
UpdateDatasetEntriesResult |
updateDatasetEntries(UpdateDatasetEntriesRequest updateDatasetEntriesRequest)
Adds one or more JSON Line entries to a dataset.
|
static final String ENDPOINT_PREFIX
CreateDatasetResult createDataset(CreateDatasetRequest createDatasetRequest)
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
.
This operation requires permissions to perform the lookoutvision:CreateDataset
operation.
createDatasetRequest
- AccessDeniedException
- You are not authorized to perform the action.InternalServerException
- Amazon Lookout for Vision experienced a service issue. Try your call again.ValidationException
- An input validation error occured. For example, invalid characters in a project name, or if a pagination
token is invalid.ConflictException
- The update or deletion of a resource caused an inconsistent state.ResourceNotFoundException
- The resource could not be found.ThrottlingException
- Amazon Lookout for Vision is temporarily unable to process the request. Try your call again.ServiceQuotaExceededException
- A service quota was exceeded the allowed limit. For more information, see Limits in Amazon Lookout for
Vision in the Amazon Lookout for Vision Developer Guide.CreateModelResult createModel(CreateModelRequest createModelRequest)
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
.
This operation requires permissions to perform the lookoutvision:CreateModel
operation. If you want
to tag your model, you also require permission to the lookoutvision:TagResource
operation.
createModelRequest
- AccessDeniedException
- You are not authorized to perform the action.InternalServerException
- Amazon Lookout for Vision experienced a service issue. Try your call again.ValidationException
- An input validation error occured. For example, invalid characters in a project name, or if a pagination
token is invalid.ConflictException
- The update or deletion of a resource caused an inconsistent state.ResourceNotFoundException
- The resource could not be found.ThrottlingException
- Amazon Lookout for Vision is temporarily unable to process the request. Try your call again.ServiceQuotaExceededException
- A service quota was exceeded the allowed limit. For more information, see Limits in Amazon Lookout for
Vision in the Amazon Lookout for Vision Developer Guide.CreateProjectResult createProject(CreateProjectRequest createProjectRequest)
Creates an empty Amazon Lookout for Vision project. After you create the project, add a dataset by calling CreateDataset.
This operation requires permissions to perform the lookoutvision:CreateProject
operation.
createProjectRequest
- AccessDeniedException
- You are not authorized to perform the action.InternalServerException
- Amazon Lookout for Vision experienced a service issue. Try your call again.ValidationException
- An input validation error occured. For example, invalid characters in a project name, or if a pagination
token is invalid.ConflictException
- The update or deletion of a resource caused an inconsistent state.ResourceNotFoundException
- The resource could not be found.ThrottlingException
- Amazon Lookout for Vision is temporarily unable to process the request. Try your call again.ServiceQuotaExceededException
- A service quota was exceeded the allowed limit. For more information, see Limits in Amazon Lookout for
Vision in the Amazon Lookout for Vision Developer Guide.DeleteDatasetResult deleteDataset(DeleteDatasetRequest deleteDatasetRequest)
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.
This operation requires permissions to perform the lookoutvision:DeleteDataset
operation.
deleteDatasetRequest
- AccessDeniedException
- You are not authorized to perform the action.InternalServerException
- Amazon Lookout for Vision experienced a service issue. Try your call again.ValidationException
- An input validation error occured. For example, invalid characters in a project name, or if a pagination
token is invalid.ConflictException
- The update or deletion of a resource caused an inconsistent state.ResourceNotFoundException
- The resource could not be found.ThrottlingException
- Amazon Lookout for Vision is temporarily unable to process the request. Try your call again.DeleteModelResult deleteModel(DeleteModelRequest deleteModelRequest)
Deletes an Amazon Lookout for Vision model. You can't delete a running model. To stop a running model, use the StopModel operation.
It might take a few seconds to delete a model. To determine if a model has been deleted, call ListProjects
and check if the version of the model (ModelVersion
) is in the Models
array.
This operation requires permissions to perform the lookoutvision:DeleteModel
operation.
deleteModelRequest
- AccessDeniedException
- You are not authorized to perform the action.InternalServerException
- Amazon Lookout for Vision experienced a service issue. Try your call again.ValidationException
- An input validation error occured. For example, invalid characters in a project name, or if a pagination
token is invalid.ConflictException
- The update or deletion of a resource caused an inconsistent state.ResourceNotFoundException
- The resource could not be found.ThrottlingException
- Amazon Lookout for Vision is temporarily unable to process the request. Try your call again.DeleteProjectResult deleteProject(DeleteProjectRequest deleteProjectRequest)
Deletes 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.
You also have to delete the dataset(s) associated with the model. For more information, see DeleteDataset. The images referenced by the training and test datasets aren't deleted.
This operation requires permissions to perform the lookoutvision:DeleteProject
operation.
deleteProjectRequest
- AccessDeniedException
- You are not authorized to perform the action.InternalServerException
- Amazon Lookout for Vision experienced a service issue. Try your call again.ValidationException
- An input validation error occured. For example, invalid characters in a project name, or if a pagination
token is invalid.ConflictException
- The update or deletion of a resource caused an inconsistent state.ResourceNotFoundException
- The resource could not be found.ThrottlingException
- Amazon Lookout for Vision is temporarily unable to process the request. Try your call again.DescribeDatasetResult describeDataset(DescribeDatasetRequest describeDatasetRequest)
Describe an Amazon Lookout for Vision dataset.
This operation requires permissions to perform the lookoutvision:DescribeDataset
operation.
describeDatasetRequest
- AccessDeniedException
- You are not authorized to perform the action.InternalServerException
- Amazon Lookout for Vision experienced a service issue. Try your call again.ValidationException
- An input validation error occured. For example, invalid characters in a project name, or if a pagination
token is invalid.ConflictException
- The update or deletion of a resource caused an inconsistent state.ResourceNotFoundException
- The resource could not be found.ThrottlingException
- Amazon Lookout for Vision is temporarily unable to process the request. Try your call again.DescribeModelResult describeModel(DescribeModelRequest describeModelRequest)
Describes a version of an Amazon Lookout for Vision model.
This operation requires permissions to perform the lookoutvision:DescribeModel
operation.
describeModelRequest
- AccessDeniedException
- You are not authorized to perform the action.InternalServerException
- Amazon Lookout for Vision experienced a service issue. Try your call again.ValidationException
- An input validation error occured. For example, invalid characters in a project name, or if a pagination
token is invalid.ConflictException
- The update or deletion of a resource caused an inconsistent state.ResourceNotFoundException
- The resource could not be found.ThrottlingException
- Amazon Lookout for Vision is temporarily unable to process the request. Try your call again.DescribeProjectResult describeProject(DescribeProjectRequest describeProjectRequest)
Describes an Amazon Lookout for Vision project.
This operation requires permissions to perform the lookoutvision:DescribeProject
operation.
describeProjectRequest
- AccessDeniedException
- You are not authorized to perform the action.InternalServerException
- Amazon Lookout for Vision experienced a service issue. Try your call again.ValidationException
- An input validation error occured. For example, invalid characters in a project name, or if a pagination
token is invalid.ConflictException
- The update or deletion of a resource caused an inconsistent state.ResourceNotFoundException
- The resource could not be found.ThrottlingException
- Amazon Lookout for Vision is temporarily unable to process the request. Try your call again.DetectAnomaliesResult detectAnomalies(DetectAnomaliesRequest detectAnomaliesRequest)
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.
detectAnomaliesRequest
- AccessDeniedException
- You are not authorized to perform the action.InternalServerException
- Amazon Lookout for Vision experienced a service issue. Try your call again.ValidationException
- An input validation error occured. For example, invalid characters in a project name, or if a pagination
token is invalid.ConflictException
- The update or deletion of a resource caused an inconsistent state.ResourceNotFoundException
- The resource could not be found.ThrottlingException
- Amazon Lookout for Vision is temporarily unable to process the request. Try your call again.ListDatasetEntriesResult listDatasetEntries(ListDatasetEntriesRequest listDatasetEntriesRequest)
Lists 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.
This operation requires permissions to perform the lookoutvision:ListDatasetEntries
operation.
listDatasetEntriesRequest
- AccessDeniedException
- You are not authorized to perform the action.InternalServerException
- Amazon Lookout for Vision experienced a service issue. Try your call again.ValidationException
- An input validation error occured. For example, invalid characters in a project name, or if a pagination
token is invalid.ConflictException
- The update or deletion of a resource caused an inconsistent state.ResourceNotFoundException
- The resource could not be found.ThrottlingException
- Amazon Lookout for Vision is temporarily unable to process the request. Try your call again.ListModelsResult listModels(ListModelsRequest listModelsRequest)
Lists the versions of a model in an Amazon Lookout for Vision project.
This operation requires permissions to perform the lookoutvision:ListModels
operation.
listModelsRequest
- AccessDeniedException
- You are not authorized to perform the action.InternalServerException
- Amazon Lookout for Vision experienced a service issue. Try your call again.ValidationException
- An input validation error occured. For example, invalid characters in a project name, or if a pagination
token is invalid.ConflictException
- The update or deletion of a resource caused an inconsistent state.ResourceNotFoundException
- The resource could not be found.ThrottlingException
- Amazon Lookout for Vision is temporarily unable to process the request. Try your call again.ListProjectsResult listProjects(ListProjectsRequest listProjectsRequest)
Lists the Amazon Lookout for Vision projects in your AWS account.
This operation requires permissions to perform the lookoutvision:ListProjects
operation.
listProjectsRequest
- AccessDeniedException
- You are not authorized to perform the action.InternalServerException
- Amazon Lookout for Vision experienced a service issue. Try your call again.ValidationException
- An input validation error occured. For example, invalid characters in a project name, or if a pagination
token is invalid.ConflictException
- The update or deletion of a resource caused an inconsistent state.ResourceNotFoundException
- The resource could not be found.ThrottlingException
- Amazon Lookout for Vision is temporarily unable to process the request. Try your call again.ListTagsForResourceResult listTagsForResource(ListTagsForResourceRequest listTagsForResourceRequest)
Returns a list of tags attached to the specified Amazon Lookout for Vision model.
This operation requires permissions to perform the lookoutvision:ListTagsForResource
operation.
listTagsForResourceRequest
- AccessDeniedException
- You are not authorized to perform the action.InternalServerException
- Amazon Lookout for Vision experienced a service issue. Try your call again.ValidationException
- An input validation error occured. For example, invalid characters in a project name, or if a pagination
token is invalid.ConflictException
- The update or deletion of a resource caused an inconsistent state.ResourceNotFoundException
- The resource could not be found.ThrottlingException
- Amazon Lookout for Vision is temporarily unable to process the request. Try your call again.StartModelResult startModel(StartModelRequest startModelRequest)
Starts 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.
A model is ready to use when its status is HOSTED
.
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.
This operation requires permissions to perform the lookoutvision:StartModel
operation.
startModelRequest
- AccessDeniedException
- You are not authorized to perform the action.InternalServerException
- Amazon Lookout for Vision experienced a service issue. Try your call again.ValidationException
- An input validation error occured. For example, invalid characters in a project name, or if a pagination
token is invalid.ConflictException
- The update or deletion of a resource caused an inconsistent state.ResourceNotFoundException
- The resource could not be found.ThrottlingException
- Amazon Lookout for Vision is temporarily unable to process the request. Try your call again.ServiceQuotaExceededException
- A service quota was exceeded the allowed limit. For more information, see Limits in Amazon Lookout for
Vision in the Amazon Lookout for Vision Developer Guide.StopModelResult stopModel(StopModelRequest stopModelRequest)
Stops the hosting of a running model. The operation might take a while to complete. To check the current status, call DescribeModel.
After the model hosting stops, the Status
of the model is TRAINED
.
This operation requires permissions to perform the lookoutvision:StopModel
operation.
stopModelRequest
- AccessDeniedException
- You are not authorized to perform the action.InternalServerException
- Amazon Lookout for Vision experienced a service issue. Try your call again.ValidationException
- An input validation error occured. For example, invalid characters in a project name, or if a pagination
token is invalid.ConflictException
- The update or deletion of a resource caused an inconsistent state.ResourceNotFoundException
- The resource could not be found.ThrottlingException
- Amazon Lookout for Vision is temporarily unable to process the request. Try your call again.TagResourceResult tagResource(TagResourceRequest tagResourceRequest)
Adds one or more key-value tags to an Amazon Lookout for Vision model. For more information, see Tagging a model in the Amazon Lookout for Vision Developer Guide.
This operation requires permissions to perform the lookoutvision:TagResource
operation.
tagResourceRequest
- AccessDeniedException
- You are not authorized to perform the action.InternalServerException
- Amazon Lookout for Vision experienced a service issue. Try your call again.ValidationException
- An input validation error occured. For example, invalid characters in a project name, or if a pagination
token is invalid.ConflictException
- The update or deletion of a resource caused an inconsistent state.ResourceNotFoundException
- The resource could not be found.ThrottlingException
- Amazon Lookout for Vision is temporarily unable to process the request. Try your call again.ServiceQuotaExceededException
- A service quota was exceeded the allowed limit. For more information, see Limits in Amazon Lookout for
Vision in the Amazon Lookout for Vision Developer Guide.UntagResourceResult untagResource(UntagResourceRequest untagResourceRequest)
Removes one or more tags from an Amazon Lookout for Vision model. For more information, see Tagging a model in the Amazon Lookout for Vision Developer Guide.
This operation requires permissions to perform the lookoutvision:UntagResource
operation.
untagResourceRequest
- AccessDeniedException
- You are not authorized to perform the action.InternalServerException
- Amazon Lookout for Vision experienced a service issue. Try your call again.ValidationException
- An input validation error occured. For example, invalid characters in a project name, or if a pagination
token is invalid.ConflictException
- The update or deletion of a resource caused an inconsistent state.ResourceNotFoundException
- The resource could not be found.ThrottlingException
- Amazon Lookout for Vision is temporarily unable to process the request. Try your call again.UpdateDatasetEntriesResult updateDatasetEntries(UpdateDatasetEntriesRequest updateDatasetEntriesRequest)
Adds 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.
This operation requires permissions to perform the lookoutvision:UpdateDatasetEntries
operation.
updateDatasetEntriesRequest
- AccessDeniedException
- You are not authorized to perform the action.InternalServerException
- Amazon Lookout for Vision experienced a service issue. Try your call again.ValidationException
- An input validation error occured. For example, invalid characters in a project name, or if a pagination
token is invalid.ConflictException
- The update or deletion of a resource caused an inconsistent state.ResourceNotFoundException
- The resource could not be found.ThrottlingException
- Amazon Lookout for Vision is temporarily unable to process the request. Try your call again.void shutdown()
ResponseMetadata getCachedResponseMetadata(AmazonWebServiceRequest request)
Response 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.
request
- The originally executed request.