anatools.anaclient.annotations module

Annotations Functions

create_annotation(self, datasetId, format, map, workspaceId=None)

Generates annotations for an existing dataset.

Parameters

  • datasetId (str) – Dataset ID to generate annotation for.

  • format (str) – Annotation format. Call get_annotation_formats() to find supported formats.

  • map (str) – The map file used for annotations. Call get_annotation_maps() to find supported maps.

  • workspaceId (str) – Workspace ID of the dataset to generate annotation for. If none is provided, the current workspace will get used.

Returns

The annotationsId for the annotation job.

Return type

str

delete_annotation(self, annotationId, workspaceId=None)

Delete a dataset annotation.

Parameters

  • annotationId (str) – AnnoationId of the annotation job.

  • workspaceId (str) – Workspace ID of the dataset to generate annotation for. If none is provided, the current workspace will get used.

Returns

If true, successfully deleted the annotation.

Return type

bool

download_annotation(self, datasetId, annotationId, workspaceId=None)

Downloads annotations archive.

Parameters

  • datasetId (str) – Dataset ID to download image annotation for.

  • annotationId (str) – Id of previously generated image annotation.

  • workspaceId (str) – Workspace ID of the dataset to generate annotation for. If none is provided, the current workspace will get used.

Returns

The name of the archive file that got downloaded.

Return type

str

get_annotation_formats(self)

Retrieves the annotation formats supported by the Platform.

Returns

The annotation formats supported by the Platform.

Return type

str

get_annotation_maps(self, channelId)

Retrieves the map files that are supported by the channel.

Parameters

channelId (str) – Channel ID to retrieve maps for.

Returns

The annotation maps supported by the channel.

Return type

str

get_annotations(self, datasetId=None, annotationId=None, workspaceId=None)

Retrieve information about existing annotations generated for a dataset. Querying requires both datasetId and annotationId.

Parameters

  • datasetId (str) – Dataset ID to generate annotations for.

  • annotationId (str) – Annotation ID for a specific annotations job.

  • workspaceId (str) – Workspace ID where the annotations exist. If none is provided, the current workspace will get used.

Returns

Annotation information.

Return type

list[dict]