VideoAnnotationAPI¶

class VideoAnnotationAPI[source]¶

Bases: supervisely.api.entity_annotation.entity_annotation_api.EntityAnnotationAPI

VideoAnnotation for a single video. VideoAnnotationAPI 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")

video_id = 186648102
ann_info = api.video.annotation.download(video_id)

Methods

`append`	Loads an VideoAnnotation to a given video ID in the API.
`convert_info_to_json`	_convert_info_to_json
`copy_batch`	Copy annotations from one images IDs to another in API.
`download`	Download information about VideoAnnotation by video ID from API.
`download_async`	Download information about VideoAnnotation by video ID from API asynchronously.
`download_bulk`	Download a list of content (annotations with given ids from dataset with given id).
`download_bulk_async`	Download information about VideoAnnotation in bulk by video IDs from API asynchronously.
`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
`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`	Get list of all class field names.
`info_tuple_name`	Get string name of NamedTuple.
`upload_paths`	Loads an VideoAnnotations from a given paths to a given videos 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(video_id, ann, key_id_map=None, progress_cb=None)[source]¶

Loads an VideoAnnotation to a given video ID in the API.

Parameters

video_id : int: Video ID in Supervisely.
ann : VideoAnnotation: VideoAnnotation object.
key_id_map : KeyIdMap, optional: KeyIdMap object.
progress : Optional[Union[tqdm, Callable]]: Progress.

Returns

None

Return type

NoneType

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()

video_id = 198704259
api.video.annotation.append(video_id, video_ann)

classmethod convert_info_to_json(info)¶

_convert_info_to_json

Return type: Dict

copy_batch(src_video_ids, dst_video_ids, progress_cb=None)[source]¶

Copy annotations from one images IDs to another in API.

Parameters

src_video_ids : List[int]: Images IDs in Supervisely.
dst_video_ids : List[int]: Unique IDs of images in API.
progress_cb : tqdm or callable, optional: Function for tracking download progress.

Raises

RuntimeError, if len(src_video_ids) != len(dst_video_ids)

Returns

None

Return type

NoneType

Usage example

import supervisely as sly
from tqdm import tqdm

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

src_ids = [121236918, 121236919]
dst_ids = [547837053, 547837054]
p = tqdm(desc="Annotations copy: ", total=len(src_ids))

copy_anns = api.annotation.copy_batch(src_ids, dst_ids, progress_cb=p)
# Output:
# {"message": "progress", "event_type": "EventType.PROGRESS", "subtask": "Annotations copy: ", "current": 0, "total": 2, "timestamp": "2021-03-16T15:24:31.286Z", "level": "info"}
# {"message": "progress", "event_type": "EventType.PROGRESS", "subtask": "Annotations copy: ", "current": 2, "total": 2, "timestamp": "2021-03-16T15:24:31.288Z", "level": "info"}

download(video_id)[source]¶

Download information about VideoAnnotation by video ID from API.

Parameters

video_id : int: Video ID in Supervisely.

Returns

Information about VideoAnnotation in json format

Return type

dict

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()

video_id = 198702499
ann_info = api.video.annotation.download(video_id)
print(ann_info)
# Output: {
#     "videoId": 198702499,
#     "videoName": "Videos_dataset_cars_cars.mp4",
#     "createdAt": "2021-03-23T13:14:25.536Z",
#     "updatedAt": "2021-03-23T13:16:43.300Z",
#     "description": "",
#     "tags": [],
#     "objects": [],
#     "size": {
#         "height": 2160,
#         "width": 3840
#     },
#     "framesCount": 326,
#     "frames": []
# }

async download_async(video_id, video_info=None, semaphore=None, force_metadata_for_links=True, integer_coords=True, progress_cb=None)[source]¶

Download information about VideoAnnotation by video ID from API asynchronously.

Parameters

video_id : int: Video ID in Supervisely.
video_info : VideoInfo, optional: Does not affect the result, but is left for compatibility with the method signature.
semaphore : asyncio.Semaphore, optional: Semaphore to limit the number of parallel downloads.
force_metadata_for_links : bool, optional: If True, updates meta for videos with links.
integer_coords : bool, optional: If True, returns coordinates as integers for objects. If False, returns as floats.
progress_cb : Union[tqdm, Callable], optional: Progress callback to track download progress.

Returns

Information about VideoAnnotation in json format

Return type

dict

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()

video_id = 198702499
loop = sly.utils.get_or_create_event_loop()
ann_info = loop.run_until_complete(api.video.annotation.download_async(video_id))

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

async download_bulk_async(video_ids, semaphore=None, force_metadata_for_links=True, integer_coords=True, batch_size=10, progress_cb=None)[source]¶

Download information about VideoAnnotation in bulk by video IDs from API asynchronously.

Parameters

video_ids : int: List of Video IDs in Supervisely. All videos must be from the same dataset.
semaphore : asyncio.Semaphore, optional: Semaphore to limit the number of parallel downloads.
force_metadata_for_links : bool, optional: If True, updates meta for videos with links.
integer_coords : bool, optional: If True, returns coordinates as integers for objects. If False, returns as floats.
batch_size : int, optional: Batch size for parallel downloads. Default is 10 as an optimal value.
progress_cb : tqdm or callable, optional: Function for tracking download progress.

Returns

Information about VideoAnnotations in json format

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()

video_ids = [198702499, 198702500, 198702501]
loop = sly.utils.get_or_create_event_loop()
ann_infos = loop.run_until_complete(api.video.annotation.download_bulk_async(video_ids))

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(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.supervisely.com'
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

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

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

upload_paths(video_ids, ann_paths, project_meta, progress_cb=None)[source]¶

Loads an VideoAnnotations from a given paths to a given videos IDs in the API. Videos IDs must be from one dataset.

Parameters

video_ids : List[int]: Videos IDs in Supervisely.
ann_paths : List[str]: Paths to annotations on local machine.
project_meta : ProjectMeta: Input ProjectMeta for VideoAnnotations.
progress_cb : tqdm or callable, optional: Function for tracking download progress.

Returns

None

Return type

NoneType

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()

video_ids = [121236918, 121236919]
ann_paths = ['/home/admin/work/supervisely/example/ann1.json', '/home/admin/work/supervisely/example/ann2.json']
api.video.annotation.upload_paths(video_ids, ann_paths, meta)