VolumeAnnotationAPI¶

class VolumeAnnotationAPI[source]¶

Bases: supervisely.api.entity_annotation.entity_annotation_api.EntityAnnotationAPI

VolumeAnnotation for a single volume. VolumeAnnotationAPI object is immutable.

Parameters

api : Api: API connection to the server.

Usage example

import supervisely as sly

import os
from dotenv import load_dotenv

import supervisely as sly

# Load secrets and create API object from .env file (recommended)
# Learn more here: https://developer.supervisely.com/getting-started/basics-of-authentication
if sly.is_development():
    load_dotenv(os.path.expanduser("~/supervisely.env"))
api = sly.Api.from_env()

# Pass values into the API constructor (optional, not recommended)
# api = sly.Api(server_address="https://app.supervise.ly", token="4r47N...xaTatb")

volume_id = 19581134
ann_info = api.volume.annotation.download(volume_id)

Methods

`append`	Loads VolumeAnnotation to a given volume ID in the API.
`append_objects`	Add new VolumeObjects to a volume annotation in Supervisely project.
`download`	Download information about VolumeAnnotation by volume ID from API.
`download_bulk`	Download a list of content (annotations with given ids from dataset with given id).
`exists`	Checks if an entity with the given parent_id and name exists
`get_free_name`	Generates a free name for an entity with the given parent_id and name.
`get_info_by_id`	Get information about an entity by its ID from the Supervisely server.
`get_info_by_name`	Get information about an entity by its name from the Supervisely server.
`get_list`	Get list of entities in parent entity with given parent ID.
`get_list_all_pages`	Get list of all or limited quantity entities from the Supervisely server.
`get_list_all_pages_generator`	This generator function retrieves a list of all or a limited quantity of entities from the Supervisely server, yielding batches of entities as they are retrieved
`info_sequence`	Get list of all class field names.
`info_tuple_name`	Get string name of NamedTuple.
`upload_paths`	Loads VolumeAnnotations from a given paths to a given volumes IDs in the API.

Attributes

`MAX_WAIT_ATTEMPTS`	Maximum number of attempts that will be made to wait for a certain condition to be met.
`WAIT_ATTEMPT_TIMEOUT_SEC`	Number of seconds for intervals between attempts.

append(volume_id, ann, key_id_map=None)[source]¶

Loads VolumeAnnotation to a given volume ID in the API.

Parameters

volume_id : int: Volume ID in Supervisely.
ann : VolumeAnnotation: VolumeAnnotation object.
key_id_map : KeyIdMap, optional: KeyIdMap object.

Returns

None

Return type

NoneType

Usage example

import supervisely as sly

os.environ['SERVER_ADDRESS'] = 'https://app.supervise.ly'
os.environ['API_TOKEN'] = 'Your Supervisely API Token'
api = sly.Api.from_env()

volume_id = 19581134
api.volume.annotation.append(volume_id, volume_ann)

append_objects(volume_id, objects, key_id_map=None)[source]¶

Add new VolumeObjects to a volume annotation in Supervisely project.

Parameters

volume_id : int: The ID of the volume.
objects : List[VolumeObject] or VolumeObjectCollection: New volume objects.
key_id_map : KeyIdMap, optional: The KeyIdMap (optional).

Returns

None

Return type

NoneType

Usage example

import os
from dotenv import load_dotenv

import supervisely as sly

# Load secrets and create API object from .env file (recommended)
# Learn more here: https://developer.supervisely.com/getting-started/basics-of-authentication
if sly.is_development():
   load_dotenv(os.path.expanduser("~/supervisely.env"))
api = sly.Api.from_env()

volume_id = 151344
volume_info = api.volume.get_info_by_id(volume_id)
mask_3d_path = "data/mask/lung.nrrd"
lung_obj_class = sly.ObjClass("lung", sly.Mask3D)
lung = sly.VolumeObject(lung_obj_class, mask_3d=mask_3d_path)
objects = sly.VolumeObjectCollection([lung])
api.volume.annotation.append_objects(volume_info.id, objects)

download(volume_id)[source]¶

Download information about VolumeAnnotation by volume ID from API. :type volume_id: int :param volume_id: Volume ID in Supervisely. :type volume_id: int :return: Information about VolumeAnnotation in json format :rtype: dict :Usage example:

import supervisely as sly

from pprint import pprint

os.environ['SERVER_ADDRESS'] = 'https://app.supervise.ly'
os.environ['API_TOKEN'] = 'Your Supervisely API Token'
api = sly.Api.from_env()

volume_id = 19581134
ann_info = api.volume.annotation.download(volume_id)
print(ann_info)
# Output:
# {
#     'createdAt': '2023-03-29T12:30:37.078Z',
#     'datasetId': 61803,
#     'description': '',
#     'objects': [],
#     'planes': [],
#     'spatialFigures': [],
#     'tags': [{'createdAt': '2023-04-03T13:21:53.368Z',
#             'id': 12259702,
#             'labelerLogin': 'almaz',
#             'name': 'info',
#             'tagId': 385328,
#             'updatedAt': '2023-04-03T13:21:53.368Z',
#             'value': 'age 31'}],
#     'updatedAt': '2023-03-29T12:30:37.078Z',
#     'volumeId': 19581134,
#     'volumeMeta': {
#             'ACS': 'RAS',
#             'IJK2WorldMatrix': [0.7617, 0, 0,
#                                 -194.2384, 0, 0.76171,
#                                 0, -217.5384, 0,
#                                 0, 2.5, -347.75,
#                                 0, 0, 0, 1],
#             'channelsCount': 1,
#             'dimensionsIJK': {'x': 512, 'y': 512, 'z': 139},
#             'intensity': {'max': 3071, 'min': -3024},
#             'rescaleIntercept': 0,
#             'rescaleSlope': 1,
#             'windowCenter': 23.5,
#             'windowWidth': 6095
# },
#     'volumeName': 'CTChest.nrrd'
# }

download_bulk(dataset_id, entity_ids)¶

Download a list of content (annotations with given ids from dataset with given id).

Parameters

dataset_id : int: int
entity_ids : List[int]: list of integers

Return type

Dict

Returns

list of content(annotations with given ids from dataset with given id), received after execution post request

exists(parent_id, name)¶

Checks if an entity with the given parent_id and name exists

Parameters

parent_id : int: ID of the parent entity.
name : str: Name of the entity.

Returns

Returns True if entity exists, and False if not

Return type

bool

Usage example

import supervisely as sly

# You can connect to API directly
address = 'https://app.supervise.ly/'
token = 'Your Supervisely API Token'
api = sly.Api(address, token)

# Or you can use API from environment
os.environ['SERVER_ADDRESS'] = 'https://app.supervise.ly'
os.environ['API_TOKEN'] = 'Your Supervisely API Token'
api = sly.Api.from_env()


name = "IMG_0315.jpeg"
dataset_id = 55832
exists = api.image.exists(dataset_id, name)
print(exists) # True

get_free_name(parent_id, name)¶

Generates a free name for an entity with the given parent_id and name. Adds an increasing suffix to original name until a unique name is found.

Parameters

parent_id : int: ID of the parent entity.
name : str: Name of the entity.

Returns

Returns free name.

Return type

str

Usage example

import supervisely as sly

# You can connect to API directly
address = 'https://app.supervise.ly/'
token = 'Your Supervisely API Token'
api = sly.Api(address, token)

# Or you can use API from environment
os.environ['SERVER_ADDRESS'] = 'https://app.supervise.ly'
os.environ['API_TOKEN'] = 'Your Supervisely API Token'
api = sly.Api.from_env()


name = "IMG_0315.jpeg"
dataset_id = 55832
free_name = api.image.get_free_name(dataset_id, name)
print(free_name) # IMG_0315_001.jpeg

get_info_by_id(id)¶

Get information about an entity by its ID from the Supervisely server.

Parameters

id : int: ID of the entity.

get_info_by_name(parent_id, name)¶

Get information about an entity by its name from the Supervisely server.

Parameters

parent_id : int: ID of the parent entity.
name : str: Name of the entity for which the information is being retrieved

Usage example

import supervisely as sly

# You can connect to API directly
address = 'https://app.supervise.ly/'
token = 'Your Supervisely API Token'
api = sly.Api(address, token)

# Or you can use API from environment
os.environ['SERVER_ADDRESS'] = 'https://app.supervise.ly'
os.environ['API_TOKEN'] = 'Your Supervisely API Token'
api = sly.Api.from_env()


dataset_id = 55832
name = "IMG_0315.jpeg"
info = api.image.get_info_by_name(dataset_id, name)
print(info)
# Output: ImageInfo(id=19369643, name='IMG_0315.jpeg', ...)

get_list(parent_id, filters=None)¶

Get list of entities in parent entity with given parent ID.

Parameters

parent_id : int: parent ID in Supervisely.
filters : List[Dict[str, str]], optional: List of parameters to sort output entities.

Usage example

import supervisely as sly

# You can connect to API directly
address = 'https://app.supervise.ly/'
token = 'Your Supervisely API Token'
api = sly.Api(address, token)

# Or you can use API from environment
os.environ['SERVER_ADDRESS'] = 'https://app.supervise.ly'
os.environ['API_TOKEN'] = 'Your Supervisely API Token'
api = sly.Api.from_env()


dataset_id = 55832
images = api.image.get_list(dataset_id)
print(images)
# Output: [
    ImageInfo(id=19369642, ...)
    ImageInfo(id=19369643, ...)
    ImageInfo(id=19369644, ...)
]

get_list_all_pages(method, data, progress_cb=None, convert_json_info_cb=None, limit=None, return_first_response=False)¶

Get list of all or limited quantity entities from the Supervisely server.

Parameters

method : str: Request method name
data : dict: Dictionary with request body info
progress_cb : Progress, optional: Function for tracking download progress.
convert_json_info_cb : Callable, optional: Function for convert json info
limit : int, optional: Number of entity to retrieve
return_first_response : bool, optional: Specify if return first response

get_list_all_pages_generator(method, data, progress_cb=None, convert_json_info_cb=None, limit=None, return_first_response=False)¶

This generator function retrieves a list of all or a limited quantity of entities from the Supervisely server, yielding batches of entities as they are retrieved

Parameters

method : str: Request method name
data : dict: Dictionary with request body info
progress_cb : Progress, optional: Function for tracking download progress.
convert_json_info_cb : Callable, optional: Function for convert json info
limit : int, optional: Number of entity to retrieve
return_first_response : bool, optional: Specify if return first response

static info_sequence()¶: Get list of all class field names.

static info_tuple_name()¶: Get string name of NamedTuple.

upload_paths(volume_ids, ann_paths, project_meta, interpolation_dirs=None, progress_cb=None, mask_dirs=None)[source]¶

Loads VolumeAnnotations from a given paths to a given volumes IDs in the API. Volumes IDs must be from one dataset.

Parameters

volume_ids : List[int]: Volumes IDs in Supervisely.
ann_paths : List[str]: Paths to annotation files
project_meta : ProjectMeta: Input ProjectMeta for VolumeAnnotations
interpolation_dirs : List[str], optional: Paths to dirs with interpolation STL files
progress_cb : tqdm or callable, optional: Function for tracking download progress
mask_dirs : List[str], optional: Paths to dirs with Mask3D geometries

Returns

None

Return type

NoneType

Usage example

import supervisely as sly

os.environ['SERVER_ADDRESS'] = 'https://app.supervise.ly'
os.environ['API_TOKEN'] = 'Your Supervisely API Token'
api = sly.Api.from_env()

volume_ids = [121236918, 121236919]
ann_pathes = ['/home/admin/work/supervisely/example/ann1.json', '/home/admin/work/supervisely/example/ann2.json']
api.volume.annotation.upload_paths(volume_ids, ann_pathes, meta)