@datafire/microsoft_cognitiveservices_prediction v4.0.0

@datafire/microsoft_cognitiveservices_prediction

Client library for Custom Vision Prediction Client

Installation and Usage

npm install --save @datafire/microsoft_cognitiveservices_prediction

let microsoft_cognitiveservices_prediction = require('@datafire/microsoft_cognitiveservices_prediction').create({
  apim_key: ""
});

.then(data => {
  console.log(data);
});

Description

Actions

ClassifyImage

Classify an image and saves the result.

microsoft_cognitiveservices_prediction.ClassifyImage({
  "projectId": "",
  "publishedName": "",
  "imageData": ""
}, context)

Input

• input object
  • projectId required string: The project id.
  • publishedName required string: Specifies the name of the model to evaluate against.
  • application string: Optional. Specifies the name of application using the endpoint.
  • imageData required string: Binary image data. Supported formats are JPEG, GIF, PNG, and BMP. Supports images up to 4MB.

Output

• output ImagePrediction

ClassifyImageWithNoStore

Classify an image without saving the result.

microsoft_cognitiveservices_prediction.ClassifyImageWithNoStore({
  "projectId": "",
  "publishedName": "",
  "imageData": ""
}, context)

Input

• input object
  • projectId required string: The project id.
  • publishedName required string: Specifies the name of the model to evaluate against.
  • application string: Optional. Specifies the name of application using the endpoint.
  • imageData required string: Binary image data. Supported formats are JPEG, GIF, PNG, and BMP. Supports images up to 0MB.

Output

• output ImagePrediction

ClassifyImageUrl

Classify an image url and saves the result.

microsoft_cognitiveservices_prediction.ClassifyImageUrl({
  "projectId": "",
  "publishedName": "",
  "body": {
    "url": ""
  }
}, context)

Input

• input object
  • projectId required string: The project id.
  • publishedName required string: Specifies the name of the model to evaluate against.
  • application string: Optional. Specifies the name of application using the endpoint.
  • body required ImageUrl

Output

• output ImagePrediction

ClassifyImageUrlWithNoStore

Classify an image url without saving the result.

microsoft_cognitiveservices_prediction.ClassifyImageUrlWithNoStore({
  "projectId": "",
  "publishedName": "",
  "body": {
    "url": ""
  }
}, context)

Input

• input object
  • projectId required string: The project id.
  • publishedName required string: Specifies the name of the model to evaluate against.
  • application string: Optional. Specifies the name of application using the endpoint.
  • body required ImageUrl

Output

• output ImagePrediction

DetectImage

Detect objects in an image and saves the result.

microsoft_cognitiveservices_prediction.DetectImage({
  "projectId": "",
  "publishedName": "",
  "imageData": ""
}, context)

Input

• input object
  • projectId required string: The project id.
  • publishedName required string: Specifies the name of the model to evaluate against.
  • application string: Optional. Specifies the name of application using the endpoint.
  • imageData required string: Binary image data. Supported formats are JPEG, GIF, PNG, and BMP. Supports images up to 4MB.

Output

• output ImagePrediction

DetectImageWithNoStore

Detect objects in an image without saving the result.

microsoft_cognitiveservices_prediction.DetectImageWithNoStore({
  "projectId": "",
  "publishedName": "",
  "imageData": ""
}, context)

Input

• input object
  • projectId required string: The project id.
  • publishedName required string: Specifies the name of the model to evaluate against.
  • application string: Optional. Specifies the name of application using the endpoint.
  • imageData required string: Binary image data. Supported formats are JPEG, GIF, PNG, and BMP. Supports images up to 0MB.

Output

• output ImagePrediction

DetectImageUrl

Detect objects in an image url and saves the result.

microsoft_cognitiveservices_prediction.DetectImageUrl({
  "projectId": "",
  "publishedName": "",
  "body": {
    "url": ""
  }
}, context)

Input

• input object
  • projectId required string: The project id.
  • publishedName required string: Specifies the name of the model to evaluate against.
  • application string: Optional. Specifies the name of application using the endpoint.
  • body required ImageUrl

Output

• output ImagePrediction

DetectImageUrlWithNoStore

Detect objects in an image url without saving the result.

microsoft_cognitiveservices_prediction.DetectImageUrlWithNoStore({
  "projectId": "",
  "publishedName": "",
  "body": {
    "url": ""
  }
}, context)

Input

• input object
  • projectId required string: The project id.
  • publishedName required string: Specifies the name of the model to evaluate against.
  • application string: Optional. Specifies the name of application using the endpoint.
  • body required ImageUrl

Output

• output ImagePrediction

Definitions

BoundingBox

• BoundingBox object: Bounding box that defines a region of an image.
  • height required number: Height.
  • left required number: Coordinate of the left boundary.
  • top required number: Coordinate of the top boundary.
  • width required number: Width.

CustomVisionError

• CustomVisionError object
  • code required string (values: NoError, BadRequest, BadRequestExceededBatchSize, BadRequestNotSupported, BadRequestInvalidIds, BadRequestProjectName, BadRequestProjectNameNotUnique, BadRequestProjectDescription, BadRequestProjectUnknownDomain, BadRequestProjectUnknownClassification, BadRequestProjectUnsupportedDomainTypeChange, BadRequestProjectUnsupportedExportPlatform, BadRequestIterationName, BadRequestIterationNameNotUnique, BadRequestIterationDescription, BadRequestIterationIsNotTrained, BadRequestWorkspaceCannotBeModified, BadRequestWorkspaceNotDeletable, BadRequestTagName, BadRequestTagNameNotUnique, BadRequestTagDescription, BadRequestTagType, BadRequestMultipleNegativeTag, BadRequestImageTags, BadRequestImageRegions, BadRequestNegativeAndRegularTagOnSameImage, BadRequestRequiredParamIsNull, BadRequestIterationIsPublished, BadRequestInvalidPublishName, BadRequestInvalidPublishTarget, BadRequestUnpublishFailed, BadRequestSubscriptionApi, BadRequestExceedProjectLimit, BadRequestExceedIterationPerProjectLimit, BadRequestExceedTagPerProjectLimit, BadRequestExceedTagPerImageLimit, BadRequestExceededQuota, BadRequestCannotMigrateProjectWithName, BadRequestNotLimitedTrial, BadRequestImageBatch, BadRequestImageStream, BadRequestImageUrl, BadRequestImageFormat, BadRequestImageSizeBytes, BadRequestImageExceededCount, BadRequestTrainingNotNeeded, BadRequestTrainingNotNeededButTrainingPipelineUpdated, BadRequestTrainingValidationFailed, BadRequestClassificationTrainingValidationFailed, BadRequestMultiClassClassificationTrainingValidationFailed, BadRequestMultiLabelClassificationTrainingValidationFailed, BadRequestDetectionTrainingValidationFailed, BadRequestTrainingAlreadyInProgress, BadRequestDetectionTrainingNotAllowNegativeTag, BadRequestInvalidEmailAddress, BadRequestDomainNotSupportedForAdvancedTraining, BadRequestExportPlatformNotSupportedForAdvancedTraining, BadRequestReservedBudgetInHoursNotEnoughForAdvancedTraining, BadRequestExportValidationFailed, BadRequestExportAlreadyInProgress, BadRequestPredictionIdsMissing, BadRequestPredictionIdsExceededCount, BadRequestPredictionTagsExceededCount, BadRequestPredictionResultsExceededCount, BadRequestPredictionInvalidApplicationName, BadRequestPredictionInvalidQueryParameters, BadRequestInvalid, UnsupportedMediaType, Forbidden, ForbiddenUser, ForbiddenUserResource, ForbiddenUserSignupDisabled, ForbiddenUserSignupAllowanceExceeded, ForbiddenUserDoesNotExist, ForbiddenUserDisabled, ForbiddenUserInsufficientCapability, ForbiddenDRModeEnabled, ForbiddenInvalid, NotFound, NotFoundProject, NotFoundProjectDefaultIteration, NotFoundIteration, NotFoundIterationPerformance, NotFoundTag, NotFoundImage, NotFoundDomain, NotFoundApimSubscription, NotFoundInvalid, Conflict, ConflictInvalid, ErrorUnknown, ErrorProjectInvalidWorkspace, ErrorProjectInvalidPipelineConfiguration, ErrorProjectInvalidDomain, ErrorProjectTrainingRequestFailed, ErrorProjectExportRequestFailed, ErrorFeaturizationServiceUnavailable, ErrorFeaturizationQueueTimeout, ErrorFeaturizationInvalidFeaturizer, ErrorFeaturizationAugmentationUnavailable, ErrorFeaturizationUnrecognizedJob, ErrorFeaturizationAugmentationError, ErrorExporterInvalidPlatform, ErrorExporterInvalidFeaturizer, ErrorExporterInvalidClassifier, ErrorPredictionServiceUnavailable, ErrorPredictionModelNotFound, ErrorPredictionModelNotCached, ErrorPrediction, ErrorPredictionStorage, ErrorRegionProposal, ErrorInvalid): The error code.
  • message required string: A message explaining the error reported by the service.

ImagePrediction

• ImagePrediction object: Result of an image prediction request.
  • created string: Date this prediction was created.
  • id string: Prediction Id.
  • iteration string: Iteration Id.
  • predictions array: List of predictions.
    • items Prediction
  • project string: Project Id.

ImageUrl

• ImageUrl object: Image url.
  • url required string: Url of the image.

Prediction

• Prediction object: Prediction result.
  • boundingBox BoundingBox
  • probability number: Probability of the tag.
  • tagId string: Id of the predicted tag.
  • tagName string: Name of the predicted tag.