PointcloudTagApi¶

class PointcloudTagApi[source]¶

Bases: supervisely.api.entity_annotation.tag_api.TagApi

PointcloudTag for point clouds. PointcloudTagApi object is immutable.

Methods

`add`	Add tag to point cloud.
`add_to_objects`	Add Tags to existing Annotation Figures.
`append_to_entity`	Add tags to entity in project with given ID.
`append_to_objects`	Add Tags to Annotation Objects for a specific entity (image etc.).
`append_to_objects_json`	Add Tags to Annotation Objects for specific entity (image etc.).
`convert_info_to_json`	_convert_info_to_json
`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 tags for a given project 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.
`get_name_to_id_map`	Get dictionary with mapping tag name to tag ID for a given project ID.
`info_sequence`	NamedTuple TagInfo information about Tag.
`info_tuple_name`	Get string name of NamedTuple for class.
`remove`	Remove tag from point cloud.
`update`	Update tag value for point cloud.

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.TagInfo

add(tag_meta_id, pointcloud_id, value=None)[source]¶

Add tag to point cloud.

Parameters

tag_id : int: TagMeta ID in project tag_metas
pointcloud_id : int: Point cloud ID
value : Optional[Union[str, int]], optional: possible_values from TagMeta, defaults to None

Returns

ID of the tag assigned to the point cloud

Return type

int

add_to_objects(project_id, tags_list, batch_size=100, log_progress=False, progress=None)¶

Add Tags to existing Annotation Figures. All figures must belong to entities of the same project. Applies only to images project.

Parameters

project_id : int: Project ID in Supervisely.
tags_list : List[dict]: List of tag object infos as dictionaries.
batch_size : int: Number of tags to add in one request.
log_progress : bool: If True, will display a progress bar.
progress : Optional[tqdm_sly]: Progress bar object to display progress.

Returns

List of tags infos as dictionaries.

Return type

List[dict]

Usage example: .. code-block:: python

import supervisely as sly

api = sly.Api(server_address, token)

tag_list = [

{
“tagId”: 25926, “figureId”: 652959, “value”: None # value is optional for tag with type ‘None’

}, {

“tagId”: 25927, “figureId”: 652959, “value”: “v1”

}, {

“tagId”: 25927, “figureId”: 652958, “value”: “v2”

}

] response = api.image.tag.add_to_figures(12345, tag_list)

print(response) # Output: # [ # { # “id”: 80421101, # “tagId”: 25926, # “figureId”: 652959, # “value”: None # }, # { # “id”: 80421102, # “tagId”: 25927, # “figureId”: 652959, # “value”: “v1” # }, # { # “id”: 80421103, # “tagId”: 25927, # “figureId”: 652958, # “value”: “v2” # } # ]

append_to_entity(entity_id, project_id, tags, key_id_map=None)¶

Add tags to entity in project with given ID.

Parameters

entity_id : int: ID of the entity in Supervisely to add a tag to
project_id : int: Project ID in Supervisely.
tags : KeyIndexedCollection: Collection of tags
key_id_map : KeyIdMap, optional: KeyIdMap object.

Returns

List of tags IDs

Return type

list

append_to_objects(entity_id, project_id, objects, key_id_map)¶

Add Tags to Annotation Objects for a specific entity (image etc.).

Parameters

entity_id : int: ID of the entity in Supervisely to add a tag to its objects
project_id : int: Project ID in Supervisely. Uses to get tag name to tag ID mapping.
objects : KeyIndexedCollection: Collection of Annotation Objects.
key_id_map : KeyIdMap: KeyIdMap object.

Returns

List of tags IDs

Return type

list

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()

img_id = 19373170
img_info = api.

append_to_objects_json(entity_id, tags_json)¶

Add Tags to Annotation Objects for specific entity (image etc.).

Parameters

entity_id : int: ID of the entity in Supervisely to add a tag to its objects
tags_json : dict: Collection of tags in JSON format

Returns

List of tags IDs

Return type

list

classmethod convert_info_to_json(info)¶

_convert_info_to_json

Return type: Dict

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 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, 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(project_id, filters=None)¶

Get list of tags for a given project ID.

Parameters

project_id : int: Dataset ID in Supervisely.
filters : List[Dict[str, str]], optional: List of parameters to sort output tags. See: https://api.docs.supervisely.com/#tag/Advanced/paths/~1tags.list/get

Returns

List of the tags from the project with given id.

Return type

list

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))

get_name_to_id_map(project_id)¶

Get dictionary with mapping tag name to tag ID for a given project ID.

Parameters

project_id : int: Dataset ID in Supervisely.

Returns

Dictionary with mapping tag name to tag id for a given project ID.

Return type

dict

static info_sequence()¶

NamedTuple TagInfo information about Tag.

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()

info_sequence = api.video.tag.info_sequence()

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.tag.info_tuple_name()
print(tuple_name) # TagInfo

remove(tag_id)[source]¶

Remove tag from point cloud.

Parameters

tag_id : int: tag ID of certain point cloud

Return type

None

update(tag_id, value)[source]¶

Update tag value for point cloud. You could use only those values, which are correspond to TagMeta value_type and possible_values

Parameters

tag_id : int: tag ID of certain object
value : Union[str, int]: possible_values from TagMeta

Return type

None