Class: AWS.LookoutVision
- Inherits:
-
AWS.Service
- Object
- AWS.Service
- AWS.LookoutVision
- Identifier:
- lookoutvision
- API Version:
- 2020-11-20
- Defined in:
- (unknown)
Overview
Constructs a service interface object. Each API operation is exposed as a function on service.
Service Description
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.
Sending a Request Using LookoutVision
var lookoutvision = new AWS.LookoutVision();
lookoutvision.createDataset(params, function (err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Locking the API Version
In order to ensure that the LookoutVision object uses this specific API, you can
construct the object by passing the apiVersion
option to the constructor:
var lookoutvision = new AWS.LookoutVision({apiVersion: '2020-11-20'});
You can also set the API version globally in AWS.config.apiVersions
using
the lookoutvision service identifier:
AWS.config.apiVersions = {
lookoutvision: '2020-11-20',
// other service API versions
};
var lookoutvision = new AWS.LookoutVision();
Constructor Summary collapse
-
new AWS.LookoutVision(options = {}) ⇒ Object
constructor
Constructs a service object.
Property Summary collapse
-
endpoint ⇒ AWS.Endpoint
readwrite
An Endpoint object representing the endpoint URL for service requests.
Properties inherited from AWS.Service
Method Summary collapse
-
createDataset(params = {}, callback) ⇒ AWS.Request
Creates a new dataset in an Amazon Lookout for Vision project.
-
createModel(params = {}, callback) ⇒ AWS.Request
Creates a new version of a model within an an Amazon Lookout for Vision project.
-
createProject(params = {}, callback) ⇒ AWS.Request
Creates an empty Amazon Lookout for Vision project.
-
deleteDataset(params = {}, callback) ⇒ AWS.Request
Deletes an existing Amazon Lookout for Vision
dataset
. -
deleteModel(params = {}, callback) ⇒ AWS.Request
Deletes an Amazon Lookout for Vision model.
-
deleteProject(params = {}, callback) ⇒ AWS.Request
Deletes an Amazon Lookout for Vision project.
To delete a project, you must first delete each version of the model associated with the project.
-
describeDataset(params = {}, callback) ⇒ AWS.Request
Describe an Amazon Lookout for Vision dataset.
This operation requires permissions to perform the
.lookoutvision:DescribeDataset
operation. -
describeModel(params = {}, callback) ⇒ AWS.Request
Describes a version of an Amazon Lookout for Vision model.
This operation requires permissions to perform the
.lookoutvision:DescribeModel
operation. -
describeProject(params = {}, callback) ⇒ AWS.Request
Describes an Amazon Lookout for Vision project.
This operation requires permissions to perform the
.lookoutvision:DescribeProject
operation. -
detectAnomalies(params = {}, callback) ⇒ AWS.Request
Detects anomalies in an image that you supply.
-
listDatasetEntries(params = {}, callback) ⇒ AWS.Request
Lists the JSON Lines within a dataset.
-
listModels(params = {}, callback) ⇒ AWS.Request
Lists the versions of a model in an Amazon Lookout for Vision project.
This operation requires permissions to perform the
.lookoutvision:ListModels
operation. -
listProjects(params = {}, callback) ⇒ AWS.Request
Lists the Amazon Lookout for Vision projects in your AWS account.
This operation requires permissions to perform the
.lookoutvision:ListProjects
operation. -
listTagsForResource(params = {}, callback) ⇒ AWS.Request
Returns a list of tags attached to the specified Amazon Lookout for Vision model.
This operation requires permissions to perform the
.lookoutvision:ListTagsForResource
operation. -
startModel(params = {}, callback) ⇒ AWS.Request
Starts the running of the version of an Amazon Lookout for Vision model.
-
stopModel(params = {}, callback) ⇒ AWS.Request
Stops the hosting of a running model.
-
tagResource(params = {}, callback) ⇒ AWS.Request
Adds one or more key-value tags to an Amazon Lookout for Vision model.
-
untagResource(params = {}, callback) ⇒ AWS.Request
Removes one or more tags from an Amazon Lookout for Vision model.
-
updateDatasetEntries(params = {}, callback) ⇒ AWS.Request
Adds one or more JSON Line entries to a dataset.
Methods inherited from AWS.Service
makeRequest, makeUnauthenticatedRequest, waitFor, setupRequestListeners, defineService
Constructor Details
new AWS.LookoutVision(options = {}) ⇒ Object
Constructs a service object. This object has one method for each API operation.
Property Details
Method Details
createDataset(params = {}, callback) ⇒ AWS.Request
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.
createModel(params = {}, callback) ⇒ AWS.Request
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.
createProject(params = {}, callback) ⇒ AWS.Request
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.
deleteDataset(params = {}, callback) ⇒ AWS.Request
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.
deleteModel(params = {}, callback) ⇒ AWS.Request
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.
deleteProject(params = {}, callback) ⇒ AWS.Request
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.
describeDataset(params = {}, callback) ⇒ AWS.Request
Describe an Amazon Lookout for Vision dataset.
This operation requires permissions to perform the lookoutvision:DescribeDataset
operation.
describeModel(params = {}, callback) ⇒ AWS.Request
Describes a version of an Amazon Lookout for Vision model.
This operation requires permissions to perform the lookoutvision:DescribeModel
operation.
describeProject(params = {}, callback) ⇒ AWS.Request
Describes an Amazon Lookout for Vision project.
This operation requires permissions to perform the lookoutvision:DescribeProject
operation.
detectAnomalies(params = {}, callback) ⇒ AWS.Request
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.
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.
listDatasetEntries(params = {}, callback) ⇒ AWS.Request
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.
listModels(params = {}, callback) ⇒ AWS.Request
Lists the versions of a model in an Amazon Lookout for Vision project.
This operation requires permissions to perform the lookoutvision:ListModels
operation.
listProjects(params = {}, callback) ⇒ AWS.Request
Lists the Amazon Lookout for Vision projects in your AWS account.
This operation requires permissions to perform the lookoutvision:ListProjects
operation.
listTagsForResource(params = {}, callback) ⇒ AWS.Request
Returns a list of tags attached to the specified Amazon Lookout for Vision model.
This operation requires permissions to perform the lookoutvision:ListTagsForResource
operation.
startModel(params = {}, callback) ⇒ AWS.Request
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.
This operation requires permissions to perform the lookoutvision:StartModel
operation.
stopModel(params = {}, callback) ⇒ AWS.Request
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.
tagResource(params = {}, callback) ⇒ AWS.Request
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.
untagResource(params = {}, callback) ⇒ AWS.Request
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.
updateDatasetEntries(params = {}, callback) ⇒ AWS.Request
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.