PointcloudObjectApi¶

class PointcloudObjectApi[source]¶

Bases: supervisely.api.entity_annotation.object_api.ObjectApi

PointcloudObject for PointcloudAnnotation.

Methods

append_bulk	Add pointcloud objects to Annotation Objects.
append_to_dataset	Add pointcloud objects to Dataset annotation objects.
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 Object information by ID.
get_info_by_name	Get information about an entity by its name from the Supervisely server.
get_list	Get list of information about all video Objects for a given dataset 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
get_list_idx_page_async	Get the list of items for a given page number.
get_list_page_generator_async	Yields list of images in dataset asynchronously page by page.
info_sequence	NamedTuple ObjectInfo information about Object.
info_tuple_name	Get string name of NamedTuple for class.
remove	Remove an entity with the specified ID from the Supervisely server.
remove_batch	Remove objects in batches from the Supervisely server.

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.

InfoType¶

alias of supervisely.api.module_api.ObjectInfo

append_bulk(pointcloud_id, objects, key_id_map=None)[source]¶

Add pointcloud objects to Annotation Objects.

Parameters

pointcloud_id : int

Point cloud ID in Supervidely.

objects : PointcloudObjectCollection

PointcloudAnnotation objects.

key_id_map : KeyIdMap, optional

KeyIdMap object.

Returns

List of objects IDs

Return type

List[int]

Usage example

import supervisely as sly

from supervisely.video_annotation.key_id_map import KeyIdMap

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

project_id = 19442
pointcloud_id = 19618685

meta_json = api.project.get_meta(project_id)
project_meta = sly.ProjectMeta.from_json(meta_json)

key_id_map = KeyIdMap()
ann_info = api.pointcloud.annotation.download(pointcloud_id)
ann = sly.PointcloudAnnotation.from_json(ann_info, project_meta, key_id_map)

res = api.pointcloud.object.append_bulk(pointcloud_id, ann.objects, key_id_map)
print(res)

# Output: [5565915, 5565916, 5565917, 5565918, 5565919]

append_to_dataset(dataset_id, objects, key_id_map=None)[source]¶

Add pointcloud objects to Dataset annotation objects.

Parameters

dataset_id : int

Dataset ID in Supervisely.

objects : PointcloudObjectCollection

Pointcloud objects collection.

key_id_map : KeyIdMap, optional

KeyIdMap object.

Returns

List of objects IDs

Return type

List[int]

Usage example

import supervisely as sly

from supervisely.pointcloud_annotation.pointcloud_annotation import PointcloudObjectCollection
from supervisely.video_annotation.key_id_map import KeyIdMap

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

project_id = 19442
project = api.project.get_info_by_id(project_id)
dataset = api.dataset.create(project.id, "demo_dataset", change_name_if_conflict=True)

class_car = sly.ObjClass('car', sly.Cuboid)
class_pedestrian = sly.ObjClass('pedestrian', sly.Cuboid)
classes = sly.ObjClassCollection([class_car, class_pedestrian])
project_meta = sly.ProjectMeta(classes)
updated_meta = api.project.update_meta(project.id, project_meta.to_json())

key_id_map = KeyIdMap()

pedestrian_object = sly.PointcloudObject(class_pedestrian)
car_object = sly.PointcloudObject(class_car)
objects_collection = PointcloudObjectCollection([pedestrian_object, car_object])

uploaded_objects_ids = api.pointcloud_episode.object.append_to_dataset(
    dataset.id,
    objects_collection,
    key_id_map,
)
print(uploaded_objects_ids)

# Output: [5565920, 5565921, 5565922]

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.supervisely.com'
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.supervisely.com'
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 Object information by ID.

Parameters

id : int

Object ID in Supervisely.

Returns

Information about Object. See info_sequence

Return type

NamedTuple

get_info_by_name(parent_id, name, fields=[])¶

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.

fields : List[str]

The list of api fields which will be returned with the response.

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.supervisely.com'
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(dataset_id, filters=None)¶

Get list of information about all video Objects for a given dataset ID.

Parameters

dataset_id : int

Dataset ID in Supervisely.

filters : List[dict], optional

List of parameters to sort output Objects.

Returns

Information about Objects. See info_sequence

Return type

List[NamedTuple]

Usage example

import supervisely as sly

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

dataset_id = 466642
object_infos = api.video.object.get_list(dataset_id)
print(object_infos)
# Output: [
#     [
#         152118,
#         "",
#         "2021-03-23T13:25:34.705Z",
#         "2021-03-23T13:25:34.705Z",
#         466642,
#         2856942,
#         198703211,
#         [
#             {
#                 "objectId": 152118,
#                 "tagId": 29098694,
#                 "entityId": null,
#                 "id": 40632,
#                 "value": "grey"
#             }
#         ],
#         {},
#         16154
#     ],
#     [
#         152119,
#         "",
#         "2021-03-23T13:25:34.705Z",
#         "2021-03-23T13:25:34.705Z",
#         466642,
#         2856942,
#         198703211,
#         [
#             {
#                 "objectId": 152119,
#                 "tagId": 29098694,
#                 "entityId": null,
#                 "id": 40633,
#                 "value": "wine"
#             }
#         ],
#         {},
#         16154
#     ],
#     [
#         152120,
#         "",
#         "2021-03-23T13:25:34.705Z",
#         "2021-03-23T13:25:34.705Z",
#         466642,
#         2856942,
#         198703211,
#         [
#             {
#                 "objectId": 152120,
#                 "tagId": 29098694,
#                 "entityId": null,
#                 "id": 40634,
#                 "value": "beige"
#             }
#         ],
#         {},
#         16154
#     ],
#     [
#         152121,
#         "",
#         "2021-03-23T13:25:34.705Z",
#         "2021-03-23T13:25:34.705Z",
#         466642,
#         2856941,
#         198703212,
#         [
#             {
#                 "objectId": 152121,
#                 "tagId": 29098696,
#                 "entityId": null,
#                 "id": 40635,
#                 "value": "juvenile"
#             }
#         ],
#         {},
#         16154
#     ],
#     [
#         152122,
#         "",
#         "2021-03-23T13:25:34.705Z",
#         "2021-03-23T13:25:34.705Z",
#         466642,
#         2856943,
#         198703211,
#         [],
#         {},
#         16154
#     ]
# ]

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

async get_list_idx_page_async(method, data)¶

Get the list of items for a given page number. Page number is specified in the data dictionary.

Parameters

method : str

Method to call for listing items.

data : dict

Data to pass to the API method.

Returns

List of items.

Return type

Tuple[int, List[NamedTuple]]

async get_list_page_generator_async(method, data, pages_count=None, semaphore=None)¶

Yields list of images in dataset asynchronously page by page.

Parameters

method : str

Method to call for listing items.

data : dict

Data to pass to the API method.

pages_count : int, optional

Preferred number of pages to retrieve if used with a per_page limit. Will be automatically adjusted if the pagesCount differs from the requested number.

semaphore : asyncio.Semaphore, optional

Semaphore for limiting the number of simultaneous requests.

kwargs

Additional arguments.

Returns

List of images in dataset.

Return type

AsyncGenerator[List[ImageInfo]]

Usage example

import supervisely as sly
import asyncio

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

method = 'images.list'
data = {
    'datasetId': 123456
}

loop = sly.utils.get_or_create_event_loop()
images = loop.run_until_complete(api.image.get_list_generator_async(method, data))

static info_sequence()¶

NamedTuple ObjectInfo information about Object.

Example

ObjectInfo(id=152118,
           description='',
           created_at='2021-03-23T13:25:34.705Z',
           updated_at='2021-03-23T13:25:34.705Z',
           dataset_id=466642, class_id=2856942,
           entity_id=198703211,
           tags=[{'objectId': 152118, 'tagId': 29098694, 'entityId': None, 'id': 40632, 'value': 'grey'}],
           meta={},
           created_by_id=16154)

static info_tuple_name()¶

Get string name of NamedTuple for class.

Returns

NamedTuple name.

Return type

str

Usage example

import supervisely as sly

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

tuple_name = api.video.object.info_tuple_name()
print(tuple_name) # ObjectInfo

remove(id)¶

Remove an entity with the specified ID from the Supervisely server.

Parameters

id : int

Entity ID in Supervisely.

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.supervisely.com'
os.environ['API_TOKEN'] = 'Your Supervisely API Token'
api = sly.Api.from_env()


image_id = 19369643
api.image.remove(image_id)

remove_batch(ids, progress_cb=None, batch_size=50)¶

Remove objects in batches from the Supervisely server. All entity IDs must belong to the same item (for example image, volume).

Parameters

ids : List[int]

IDs of objects in Supervisely.

progress_cb : Callable

Function for control remove progress.

Usage example

import supervisely as sly

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


object_ids = [19369645, 19369646, 19369647]
api.volume.object.remove_batch(object_ids)