PointcloudAnnotationAPI¶

class PointcloudAnnotationAPI[source]¶

Bases: supervisely.api.entity_annotation.entity_annotation_api.EntityAnnotationAPI

PointcloudAnnotation for a single point cloud. PointcloudAnnotationAPI object is immutable.

Parameters

api : Api: API connection to the server.

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()

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

pointcloud_id = 19618685
ann_info = api.pointcloud.annotation.download(src_pointcloud_id)

Methods

`append`	Loads an PointcloudAnnotation to a given point cloud ID in the API.
`download`	Download information about PointcloudAnnotation by point cloud 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.

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(pointcloud_id, ann, key_id_map=None)[source]¶

Loads an PointcloudAnnotation to a given point cloud ID in the API.

Parameters

pointcloud_id : int: Point cloud ID in Supervisely.
ann : PointcloudAnnotation: PointcloudAnnotation 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()

pointcloud_id = 198704259
api.pointcloud.annotation.append(pointcloud_id, pointcloud_ann)

download(pointcloud_id)[source]¶

Download information about PointcloudAnnotation by point cloud ID from API.

Parameters

pointcloud_id : int: Point cloud ID in Supervisely.

Returns

Information about PointcloudAnnotation in json format

Return type

dict

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()

pointcloud_id = 19618685
ann_info = api.pointcloud.annotation.download(src_pointcloud_id)
print(ann_info)

# Output: {
#     'datasetId': 62664,
#     'description': '',
#     'frames': [{'figures': [{'classId': None,
#                             'createdAt': '2023-04-05T08:55:52.526Z',
#                             'description': '',
#                             'geometry': {'dimensions': {'x': 1.6056261,
#                                                         'y': 3.8312221,
#                                                         'z': 1.8019634},
#                                         'position': {'x': 10.181290418102629,
#                                                     'y': 9.033275311626847,
#                                                     'z': -0.9065660704238034},
#                                         'rotation': {'x': 0,
#                                                     'y': 0,
#                                                     'z': 1.5985649758590998}},
#                             'geometryType': 'cuboid_3d',
#                             'id': 87830573,
#                             'labelerLogin': 'almaz',
#                             'objectId': 5565738,
#                             'updatedAt': '2023-04-05T08:55:52.526Z'},
#                             {'classId': None,
#                             'createdAt': '2023-04-05T08:55:52.526Z',
#                             'description': '',
#                             'geometry': {'dimensions': {'x': 2.3652234,
#                                                         'y': 23.291742,
#                                                         'z': 3.326648},
#                                         'position': {'x': 77.40255111910977,
#                                                     'y': -9.582723835261527,
#                                                     'z': 1.0131292020311293},
#                                         'rotation': {'x': 0,
#                                                     'y': 0,
#                                                     'z': -1.5823898471886868}},
#                             'geometryType': 'cuboid_3d',
#                             'id': 87830574,
#                             'labelerLogin': 'almaz',
#                             'objectId': 5565741,
#                             'updatedAt': '2023-04-05T08:55:52.526Z'}],
#                 'index': 0,
#                 'pointCloudId': 19618685}],
#     'framesCount': 1,
#     'objects': [{'classId': 683259,
#                 'classTitle': 'Car',
#                 'createdAt': '2023-04-05T08:55:52.384Z',
#                 'datasetId': 62664,
#                 'entityId': None,
#                 'id': 5565737,
#                 'labelerLogin': 'almaz',
#                 'tags': [],
#                 'updatedAt': '2023-04-05T08:55:52.384Z'}],
#     'tags': []
# }

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.