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:DescribeDatasetoperation. -
describeModel(params = {}, callback) ⇒ AWS.Request
Describes a version of an Amazon Lookout for Vision model.
This operation requires permissions to perform the
.lookoutvision:DescribeModeloperation. -
describeModelPackagingJob(params = {}, callback) ⇒ AWS.Request
Describes an Amazon Lookout for Vision model packaging job.
-
describeProject(params = {}, callback) ⇒ AWS.Request
Describes an Amazon Lookout for Vision project.
This operation requires permissions to perform the
.lookoutvision:DescribeProjectoperation. -
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.
-
listModelPackagingJobs(params = {}, callback) ⇒ AWS.Request
Lists the model packaging jobs created for an Amazon Lookout for Vision project.
-
listModels(params = {}, callback) ⇒ AWS.Request
Lists the versions of a model in an Amazon Lookout for Vision project.
The
ListModelsoperation is eventually consistent. -
listProjects(params = {}, callback) ⇒ AWS.Request
Lists the Amazon Lookout for Vision projects in your AWS account that are in the AWS Region in which you call
ListProjects.The
ListProjectsoperation is eventually consistent. -
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:ListTagsForResourceoperation. -
startModel(params = {}, callback) ⇒ AWS.Request
Starts the running of the version of an Amazon Lookout for Vision model.
-
startModelPackagingJob(params = {}, callback) ⇒ AWS.Request
Starts an Amazon Lookout for Vision model packaging job.
-
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 or updates one or more JSON Line entries in 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.