exportV3

imerit_ango.sdk.SDK.

exportV3(project_id, batches, stage, export_format, export_type, include_key_frames_only, zip_file_path, filters)

Export annotated assets together with labels and metadata. Use batch or stage filters to export specific parts of the dataset.

Parameters

• project_id: string

  • The unique identifier for the project. You can find the project ID in the user interface or retrieve it using the list_projects function.

• batches: List[string], optional, default None

  • You may choose to only export assets pertaining to one or more specific batches.

  • Example: ['0000000aa0a00a0000aaaa0a']

• stage: List[string], optional, default None

  • You may choose to only export assets pertaining to one or more specific stages.

  • Example: ['Complete']

• export_format: string, default "json", {"json", "ndjson"}

  • Select the format of the export output

  • Example: "ndjson"

• export_type: string, optional, default None, {"issue"}

  • You may choose to only export issues by passing export_type="issue".

• include_key_frames_only: bool, default False

  • You may choose to only export key frames for video assets.

• zip_file_path: string, optional, default None

  • If included, the export will be directly downloaded as a .zip file instead of being returned as a Python dictionary. This prevents our server from having to unzip and dict-ify the export, reducing loading times.

  • Example: "/Users/lorenzo/Downloads/my_export.zip"

• filters: Dict{string:string}

  • You may filter the export by including a filters dict here.

  • If you do not include it, by default, the export will not be filtered and it will contain all information.

  • Here is what you can include in the filters dict (picking true or false as necessary):

filters = {
    'sendEmail': 'false',
    'includeMetadata': 'false',
    'includeHistory': 'false',
    'includeSegmentationPoints': 'true',
}

Returns:

• output: dict

See also

export, get_assets, get_tasks