VideoFrameAPI¶

class VideoFrameAPI[source]¶

Bases: supervisely.api.module_api.ModuleApi

Frame for a single video. VideoFrameAPI object is immutable.

Methods

`convert_info_to_json`	_convert_info_to_json
`download_bytes`	Download frames with given indexes from Dataset in Binary format.
`download_np`	Download Image for frame with given index from given video ID in numpy format (RGB).
`download_nps`	Download frames with given indexes from given video ID in numpy format(RGB).
`download_nps_generator`	rtype `Generator`[`Tuple`[`int`, `ndarray`], `None`, `None`]
`download_path`	Downloads frame on the given path for frame with given index from given Video ID.
`download_paths`	Downloads frames to given paths for frames with given indexes from given Video 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
`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.

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.

classmethod convert_info_to_json(info)¶

_convert_info_to_json

Return type: Dict

download_bytes(video_id, frame_indexes, progress_cb=None)[source]¶

Download frames with given indexes from Dataset in Binary format.

Parameters

video_id : int: Video ID in Supervisely.
frame_indexes : List[int]: List of video frames indexes in Supervisely.
progress_cb : tqdm or callable, optional: Function for tracking download progress.

Returns

List of Images in binary format

Return type

List[bytes]

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 = 213542
frame_indexes = [1,2,3,4,5,10,11,12,13,14,15]
frames_bytes = api.video.frame.download_bytes(video_id=video_id, frame_indexes=frame_indexes)
print(frames_bytes)
# Output: [b'ÿØÿàJFIF\...]

download_np(video_id, frame_index)[source]¶

Download Image for frame with given index from given video ID in numpy format (RGB).

Parameters

video_id : int: Video ID in Supervisely.
frame_index : int: Index of frame to download.

Returns

Image in RGB numpy matrix format

Return type

np.ndarray

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 = 198703211
frame_idx = 5
image_np = api.video.frame.download_np(video_id, frame_idx)

download_nps(video_id, frame_indexes, progress_cb=None, keep_alpha=False)[source]¶

Download frames with given indexes from given video ID in numpy format(RGB).

Parameters

video_id : int: Video ID in Supervisely.
frame_indexes : List[int]: Indexes of frames to download.
progress_cb : tqdm or callable, optional: Function for tracking download progress.

Returns

List of Images in RGB numpy matrix format

Return type

List[np.ndarray]

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 = 198703211
frame_indexes = [1,2,3,4,5,10,11,12,13,14,15]
images_np = api.video.frame.download_nps(video_id, frame_indexes)

download_path(video_id, frame_index, path)[source]¶

Downloads frame on the given path for frame with given index from given Video ID.

Parameters

video_id : int: Video ID in Supervisely.
frame_index : int: Index of frame to download.
path : str: Local save path for Image.

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 = 198703211
frame_idx = 5
save_path = '/home/admin/Downloads/frames/result.png'
api.video.frame.download_path(video_id, frame_idx, save_path)

download_paths(video_id, frame_indexes, paths, progress_cb=None)[source]¶

Downloads frames to given paths for frames with given indexes from given Video ID.

Parameters

video_id : int: Video ID in Supervisely.
frame_indexes : List[int]: Indexes of frames to download.
paths : List[str]: Local save paths for frames.
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_id = 198703211
frame_indexes = [1,2,3,4,5,10,11,12,13,14,15]
save_paths = [f"/home/admin/projects/video_project/frames/{idx}.png" for idx in frame_indexes]
api.video.frame.download_paths(video_id, frame_indexes, save_paths)

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.supervisely.com/'
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.supervisely.com/'
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.supervisely.com/'
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.supervisely.com/'
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.