VolumeProject¶

class VolumeProject[source]¶

Bases: supervisely.project.video_project.VideoProject

Methods

`add_blob_file`	Adds blob file to the project.
`build_snapshot`	Create a video project snapshot in Arrow/Parquet+tar.zst format and return it as BytesIO.
`copy_data`	Makes a copy of the `VideoProject`.
`create_dataset`	Creates a subdirectory with given name and all intermediate subdirectories for items and annotations in project directory, and also adds created dataset to the collection of all datasets in the project.
`download`	Download volume project from Supervisely to the given directory.
`download_async`
`download_bin`	Download a Volume Project snapshot into a Parquet-backed binary blob (`.tar.zst` file or in-memory BytesIO).
`get_classes_stats`
`get_item_paths`	rtype `ItemPaths`
`get_train_val_splits_by_collections`	Not available for VolumeProject class.
`get_train_val_splits_by_count`	Not available for VolumeProject class.
`get_train_val_splits_by_dataset`	Not available for VolumeProject class.
`get_train_val_splits_by_tag`	Not available for VolumeProject class.
`get_url`	Get URL to video datasets list in Supervisely.
`read_single`	Read project from given ditectory.
`remove_classes`	Not available for VideoProject class.
`remove_classes_except`	Not available for VideoProject class.
`remove_items_without_both_objects_and_tags`	Not available for VideoProject class.
`remove_items_without_objects`	Not available for VideoProject class.
`remove_items_without_tags`	Not available for VideoProject class.
`restore_snapshot`	Restore a video project from a snapshot and return ProjectInfo.
`set_key_id_map`	Save given KeyIdMap object to project dir in json format.
`set_meta`	Saves given `meta` to project directory in json format.
`to_coco`	Convert Supervisely project to COCO format.
`to_detection_task`	Not available for VideoProject class.
`to_pascal_voc`	Convert Supervisely project to Pascal VOC format.
`to_segmentation_task`	Not available for VideoProject class.
`to_yolo`	Convert Supervisely project to YOLO format.
`upload`	Uploads volume project to Supervisely from the given directory.
`upload_bin`	Restore a volume project from a Parquet blob produced by `download_bin()`.
`validate`

Attributes

`blob_dir`	Directory for project blobs.
`blob_dir_name`
`blob_files`	List of blob files.
`datasets`	Project datasets.
`directory`	Path to the project directory.
`key_id_map`
`meta`	Project meta.
`name`	Project name.
`parent_dir`	Project parent directory.
`total_items`	Total number of items in project.
`type`	Project type.

add_blob_file(file_name)¶

Adds blob file to the project.

Parameters

file_name : str: File name.

Returns

None

Return type

NoneType

Usage example

import supervisely as sly
project = sly.Project("/home/admin/work/supervisely/projects/lemons_annotated", sly.OpenMode.READ)
project.add_blob_file("blob_file.tar")

static build_snapshot(api, project_id, dataset_ids=None, batch_size=50, log_progress=True, progress_cb=None, schema_version='v2.0.0')¶

Create a video project snapshot in Arrow/Parquet+tar.zst format and return it as BytesIO.

Return type: BytesIO

copy_data(dst_directory, dst_name=None, _validate_item=True, _use_hardlink=False)¶

Makes a copy of the VideoProject.

Parameters

dst_directory : str: Path to video project parent directory.
dst_name : str, optional: Video Project name.
_validate_item : bool, optional: Checks input files format.
_use_hardlink : bool, optional: If True creates a hardlink pointing to src named dst, otherwise don’t.

Returns

VideoProject object.

Return type

VideoProject

Usage example

import supervisely as sly
project = sly.VideoProject("/home/admin/work/supervisely/projects/videos_example", sly.OpenMode.READ)
print(project.total_items)
# Output: 6

new_project = project.copy_data("/home/admin/work/supervisely/projects/", "videos_example_copy")
print(new_project.total_items)
# Output: 6

create_dataset(ds_name, ds_path=None)¶

Creates a subdirectory with given name and all intermediate subdirectories for items and annotations in project directory, and also adds created dataset to the collection of all datasets in the project.

Parameters

ds_name : str: Dataset name.

Returns

Dataset object

Return type

Dataset

Usage example

import supervisely as sly
project = sly.Project("/home/admin/work/supervisely/projects/lemons_annotated", sly.OpenMode.READ)

for dataset in project.datasets:
    print(dataset.name)

# Output: ds1
#         ds2

project.create_dataset("ds3")

for dataset in project.datasets:
    print(dataset.name)

# Output: ds1
#         ds2
#         ds3

static download(api, project_id, dest_dir, dataset_ids=None, download_volumes=True, log_progress=False, progress_cb=None, **kwargs)[source]¶

Download volume project from Supervisely to the given directory.

Parameters

api : Api: Supervisely API address and token.
project_id : int: Supervisely downloadable project ID.
dest_dir : str: Destination directory.
dataset_ids : list [ int ], optional: Dataset IDs.
download_volumes : bool, optional: Download volume data files or not.
log_progress : bool: Show uploading progress bar.
progress_cb : tqdm or callable, optional: Function for tracking the download progress.

Returns

None

Return type

NoneType

Usage example

import supervisely as sly

# Local destination Volume Project folder
save_directory = "/home/admin/work/supervisely/source/vlm_project"

# Obtain server address and your api_token from environment variables
# Edit those values if you run this notebook on your own PC
address = os.environ['SERVER_ADDRESS']
token = os.environ['API_TOKEN']

# Initialize API object
api = sly.Api(address, token)
project_id = 8888

# Download Project
sly.VolumeProject.download(api, project_id, save_directory)
project_fs = sly.VolumeProject(save_directory, sly.OpenMode.READ)

static download_bin(api, project_id, dest_dir=None, dataset_ids=None, download_volumes=True, log_progress=False, progress_cb=None, return_bytesio=False, schema_version='v2.0.0', batch_size=50, *args, **kwargs)[source]¶

Download a Volume Project snapshot into a Parquet-backed binary blob (.tar.zst file or in-memory BytesIO).

The snapshot stores:

Project info and meta
Dataset tree (dataset infos)
Volume infos (optionally)
Volume annotations (for the included volumes)

The resulting binary snapshot can be restored later with upload_bin().

Parameters

api : Api: Supervisely API client.
project_id : int: Source Volume Project ID on the server.
dest_dir : str, optional: Local folder where the snapshot file will be written. Required when return_bytesio=False.
dataset_ids : List[int], optional: Optional list of dataset IDs to include. If provided, only these datasets will be included (recursively, preserving tree structure where applicable).
download_volumes : bool, optional: If False, only project/meta/dataset tree is stored (volume infos and annotations are skipped). This is useful for “structure-only” snapshots.
log_progress : bool: If True, show a progress bar (unless a custom progress_cb is provided).
progress_cb : tqdm or callable, optional: Optional callback (or tqdm-like object) called with incremental progress.
return_bytesio : bool, optional: If True, return an in-memory io.BytesIO with snapshot bytes. If False, write snapshot to dest_dir and return the file path.
schema_version : str, optional: Snapshot schema version. Controls the internal Parquet layout/fields. Supported values are the keys from get_volume_snapshot_schema() (currently: "v2.0.0").
batch_size : int, optional: Batch size for API calls determining how many items to download in one request. Default is 50.

Returns

Snapshot file path (when return_bytesio=False) or a BytesIO (when return_bytesio=True).

Return type

str or io.BytesIO

Raises

ValueError – If dest_dir is not provided and return_bytesio is False.
RuntimeError – If required optional dependencies (e.g. pyarrow) are missing.

Usage example

import supervisely as sly
import os

api = sly.Api(os.environ["SERVER_ADDRESS"], os.environ["API_TOKEN"])

# 1) Save snapshot to disk
out_path = sly.VolumeProject.download_bin(
    api,
    project_id=123,
    dest_dir="/tmp/vol_project_snapshot",
    download_volumes=True,
    log_progress=True,
)

# 2) Create an in-memory snapshot (BytesIO) and restore it
blob = sly.VolumeProject.download_bin(
    api,
    project_id=123,
    return_bytesio=True,
    download_volumes=False,  # structure-only
)
restored = sly.VolumeProject.upload_bin(api, blob, workspace_id=45, project_name="Restored")

static get_train_val_splits_by_collections(project_dir, train_collections, val_collections, project_id, api)[source]¶

Not available for VolumeProject class. :raises: NotImplementedError in all cases.

Return type: None

static get_train_val_splits_by_count(project_dir, train_count, val_count)[source]¶

Not available for VolumeProject class. :raises: NotImplementedError in all cases.

Return type: None

static get_train_val_splits_by_dataset(project_dir, train_datasets, val_datasets)[source]¶

Not available for VolumeProject class. :raises: NotImplementedError in all cases.

Return type: None

static get_train_val_splits_by_tag(project_dir, train_tag_name, val_tag_name, untagged='ignore')[source]¶

Not available for VolumeProject class. :raises: NotImplementedError in all cases.

Return type: None

static get_url(id)¶

Get URL to video datasets list in Supervisely.

Parameters

id : int: VideoProject ID in Supervisely.

Returns

URL to datasets list.

Return type

str

Usage example

from supervisely import VideoProject

project_id = 10093
datasets_link = VideoProject.get_url(project_id)

print(datasets_link)
# Output: "/projects/10093/datasets"

classmethod read_single(dir)¶: Read project from given ditectory. Generate exception error if given dir contains more than one subdirectory :param dir: str :return: VideoProject class object

static remove_classes(project_dir, classes_to_remove=None, inplace=False)¶

Not available for VideoProject class. :raises: NotImplementedError in all cases.

Return type: None

static remove_classes_except(project_dir, classes_to_keep=None, inplace=False)¶

Not available for VideoProject class. :raises: NotImplementedError in all cases.

Return type: None

static remove_items_without_both_objects_and_tags(project_dir, inplace=False)¶

Not available for VideoProject class. :raises: NotImplementedError in all cases.

Return type: None

static remove_items_without_objects(project_dir, inplace=False)¶

Not available for VideoProject class. :raises: NotImplementedError in all cases.

Return type: None

static remove_items_without_tags(project_dir, inplace=False)¶

Not available for VideoProject class. :raises: NotImplementedError in all cases.

Return type: None

static restore_snapshot(api, snapshot_bytes, workspace_id, project_name=None, with_custom_data=True, log_progress=True, progress_cb=None, skip_missed=False, project_description=None)¶

Restore a video project from a snapshot and return ProjectInfo.

Return type: ProjectInfo

set_key_id_map(new_map)¶: Save given KeyIdMap object to project dir in json format. :type new_map: KeyIdMap :param new_map: KeyIdMap class object

set_meta(new_meta)¶

Saves given meta to project directory in json format.

Parameters

new_meta : ProjectMeta: ProjectMeta object.

Returns

None

Return type

NoneType

Usage example

import supervisely as sly
proj_lemons = sly.Project("/home/admin/work/supervisely/projects/lemons_annotated", sly.OpenMode.READ)
proj_kiwi = sly.Project("/home/admin/work/supervisely/projects/kiwi_annotated", sly.OpenMode.READ)

proj_lemons.set_meta(proj_kiwi.meta)

print(project.proj_lemons)
# Output:
# +-------+--------+----------------+--------+
# |  Name | Shape  |     Color      | Hotkey |
# +-------+--------+----------------+--------+
# |  kiwi | Bitmap |  [255, 0, 0]   |        |
# +-------+--------+----------------+--------+

to_coco(dest_dir=None, copy_images=False, with_captions=False, log_progress=True, progress_cb=None)¶

Convert Supervisely project to COCO format.

Parameters

dest_dir : str, optional: Destination directory.
copy_images : bool: Copy images to the destination directory.
with_captions : bool: Return captions for images.
log_progress : bool: Show uploading progress bar.
progress_cb : callable, optional: Function for tracking conversion progress (for all items in the project).

Returns

None

Return type

NoneType

Usage example

import supervisely as sly

# Local folder with Project
project_directory = "/home/admin/work/supervisely/source/project"

# Convert Project to COCO format
sly.Project(project_directory).to_coco(log_progress=True)
# or
from supervisely.convert import to_coco
to_coco(project_directory, dest_dir="./coco_project")

static to_detection_task(src_project_dir, dst_project_dir=None, inplace=False, progress_cb=None)¶

Not available for VideoProject class. :raises: NotImplementedError in all cases.

Return type: None

to_pascal_voc(dest_dir=None, train_val_split_coef=0.8, log_progress=True, progress_cb=None)¶

Convert Supervisely project to Pascal VOC format.

Parameters

dest_dir : str, optional: Destination directory.
train_val_split_coef : float, optional: Coefficient for splitting images into train and validation sets.
log_progress : bool: Show uploading progress bar.
progress_cb : callable, optional: Function for tracking conversion progress (for all items in the project).

Returns

None

Return type

NoneType

Usage example

import supervisely as sly

# Local folder with Project
project_directory = "/home/admin/work/supervisely/source/project"

# Convert Project to YOLO format
sly.Project(project_directory).to_pascal_voc(log_progress=True)
# or
from supervisely.convert import to_pascal_voc
to_pascal_voc(project_directory, dest_dir="./pascal_voc_project")

static to_segmentation_task(src_project_dir, dst_project_dir=None, inplace=False, target_classes=None, progress_cb=None, segmentation_type='semantic')¶

Not available for VideoProject class. :raises: NotImplementedError in all cases.

Return type: None

to_yolo(dest_dir=None, task_type='detect', log_progress=True, progress_cb=None, val_datasets=None)¶

Convert Supervisely project to YOLO format.

Parameters

dest_dir : str, optional: Destination directory.
task_type : str or TaskType, optional: Task type for YOLO format. Possible values: ‘detection’, ‘segmentation’, ‘pose’.
log_progress : bool: Show uploading progress bar.
progress_cb : callable, optional: Function for tracking conversion progress (for all items in the project).
val_datasets : list [ str ], optional: List of dataset names for validation. Full dataset names are required (e.g., ‘ds0/nested_ds1/ds3’). If specified, datasets from the list will be marked as val, others as train. If not specified, the function will determine the validation datasets automatically.

Returns

None

Return type

NoneType

Usage example

import supervisely as sly

# Local folder with Project
project_directory = "/home/admin/work/supervisely/source/project"

# Convert Project to YOLO format
sly.Project(project_directory).to_yolo(log_progress=True)
# or
from supervisely.convert import to_yolo
to_yolo(project_directory, dest_dir="./yolo_project")

static upload(directory, api, workspace_id, project_name=None, log_progress=True, progress_cb=None)[source]¶

Uploads volume project to Supervisely from the given directory.

Parameters

directory : str: Path to project directory.
api : Api: Supervisely API address and token.
workspace_id : int: Workspace ID, where project will be uploaded.
project_name : str, optional: Name of the project in Supervisely. Can be changed if project with the same name is already exists.
log_progress : bool: Show uploading progress bar.
progress_cb : tqdm or callable, optional: Function for tracking the download progress.

Returns

Project ID and name. It is recommended to check that returned project name coincides with provided project name.

Return type

int, str

Usage example

import supervisely as sly

# Local folder with Volume Project
project_directory = "/home/admin/work/supervisely/source/vlm_project"

# Obtain server address and your api_token from environment variables
# Edit those values if you run this notebook on your own PC
address = os.environ['SERVER_ADDRESS']
token = os.environ['API_TOKEN']

# Initialize API object
api = sly.Api(address, token)

# Upload Volume Project
project_id, project_name = sly.VolumeProject.upload(
    project_directory,
    api,
    workspace_id=45,
    project_name="My Volume Project"
)

static upload_bin(api, file, workspace_id, project_name=None, log_progress=True, progress_cb=None, skip_missed=False, project_description=None, with_custom_data=True, *args, **kwargs)[source]¶

Restore a volume project from a Parquet blob produced by download_bin().

Parameters

api : Api: Supervisely API client.
file : Union[str, io.BytesIO]: Snapshot file path (.tar.zst) or an in-memory io.BytesIO stream.
workspace_id : int: Target workspace ID where the project will be created.
project_name : str, optional: Optional new project name. If not provided, the name from the snapshot will be used. If the name already exists in the workspace, a free name will be chosen.
log_progress : bool: If True, show a progress bar (unless a custom progress_cb is provided).
progress_cb : tqdm or callable, optional: Optional callback (or tqdm-like object) called with incremental progress.
skip_missed : bool: If True, skip volumes that cannot be restored because their source hash is missing in the snapshot payload. If False, such cases raise an error.
project_description : str, optional: Description of the destination project in Supervisely.
with_custom_data : bool, optional: Whether to include custom_data from the snapshot in the restored project. Default is True.

Returns

Info of the newly created project.

Return type

ProjectInfo

Raises

RuntimeError – If the snapshot contains volumes without hashes and skip_missed is False.

property blob_dir¶

Directory for project blobs. Blobs are .tar files with images. Used for fast data transfer.

Returns

Path to project blob directory

Return type

str

Usage example

import supervisely as sly
project = sly.Project("/home/admin/work/supervisely/projects/lemons_annotated", sly.OpenMode.READ)
print(project.blob_dir)
# Output: '/home/admin/work/supervisely/projects/lemons_annotated/blob'

property blob_files¶

List of blob files.

Returns

List of blob files

Return type

list

Usage example

import supervisely as sly
project = sly.Project("/home/admin/work/supervisely/projects/lemons_annotated", sly.OpenMode.READ)
print(project.blob_files)
# Output: []

property datasets¶

Project datasets.

Returns

Datasets

Return type

DatasetDict

Usage example

import supervisely as sly
project = sly.Project("/home/admin/work/supervisely/projects/lemons_annotated", sly.OpenMode.READ)
for dataset in project.datasets:
    print(dataset.name)
    # Output: ds1
    #         ds2

property directory¶

Path to the project directory.

Returns

Path to the project directory

Return type

str

Usage example

import supervisely as sly
project = sly.Project("/home/admin/work/supervisely/projects/lemons_annotated", sly.OpenMode.READ)
print(project.directory)
# Output: '/home/admin/work/supervisely/projects/lemons_annotated'

property meta¶

Project meta.

Returns

ProjectMeta object

Return type

ProjectMeta

Usage example

import supervisely as sly
project = sly.Project("/home/admin/work/supervisely/projects/lemons_annotated", sly.OpenMode.READ)
print(project.meta)
# Output:
# +-------+--------+----------------+--------+
# |  Name | Shape  |     Color      | Hotkey |
# +-------+--------+----------------+--------+
# |  kiwi | Bitmap |  [255, 0, 0]   |        |
# | lemon | Bitmap | [81, 198, 170] |        |
# +-------+--------+----------------+--------+
# Tags
# +------+------------+-----------------+--------+---------------+--------------------+
# | Name | Value type | Possible values | Hotkey | Applicable to | Applicable classes |
# +------+------------+-----------------+--------+---------------+--------------------+

property name¶

Project name.

Returns

Project name.

Return type

str

Usage example

import supervisely as sly
project = sly.Project("/home/admin/work/supervisely/projects/lemons_annotated", sly.OpenMode.READ)
print(project.name)
# Output: 'lemons_annotated'

property parent_dir¶

Project parent directory.

Returns

Path to project parent directory

Return type

str

Usage example

import supervisely as sly
project = sly.Project("/home/admin/work/supervisely/projects/lemons_annotated", sly.OpenMode.READ)
print(project.parent_dir)
# Output: '/home/admin/work/supervisely/projects'

property total_items¶

Total number of items in project.

Returns

Total number of items in project

Return type

int

Usage example

import supervisely as sly
project = sly.Project("/home/admin/work/supervisely/projects/lemons_annotated", sly.OpenMode.READ)
print(project.total_items)
# Output: 12

property type¶

Project type.

Returns

Project type.

Return type

str

Usage example

import supervisely as sly
project = sly.VolumeProject("/home/admin/work/supervisely/projects/volumes", sly.OpenMode.READ)
print(project.type)
# Output: 'volumes'