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Reference for ultralytics/hub/__init__.py

Note

This file is available at https://github.com/ultralytics/ultralytics/blob/main/ultralytics/hub/__init__.py. If you spot a problem please help fix it by contributing a Pull Request 🛠️. Thank you 🙏!


ultralytics.hub.login

login(api_key: str = None, save=True) -> bool

Log in to the Ultralytics HUB API using the provided API key.

The session is not stored; a new session is created when needed using the saved SETTINGS or the HUB_API_KEY environment variable if successfully authenticated.

Parameters:

Name Type Description Default
api_key str

API key to use for authentication. If not provided, it will be retrieved from SETTINGS or HUB_API_KEY environment variable.

None
save bool

Whether to save the API key to SETTINGS if authentication is successful.

True

Returns:

Type Description
bool

True if authentication is successful, False otherwise.

Source code in ultralytics/hub/__init__.py
def login(api_key: str = None, save=True) -> bool:
    """
    Log in to the Ultralytics HUB API using the provided API key.

    The session is not stored; a new session is created when needed using the saved SETTINGS or the HUB_API_KEY
    environment variable if successfully authenticated.

    Args:
        api_key (str, optional): API key to use for authentication.
            If not provided, it will be retrieved from SETTINGS or HUB_API_KEY environment variable.
        save (bool, optional): Whether to save the API key to SETTINGS if authentication is successful.

    Returns:
        (bool): True if authentication is successful, False otherwise.
    """
    checks.check_requirements("hub-sdk>=0.0.12")
    from hub_sdk import HUBClient

    api_key_url = f"{HUB_WEB_ROOT}/settings?tab=api+keys"  # set the redirect URL
    saved_key = SETTINGS.get("api_key")
    active_key = api_key or saved_key
    credentials = {"api_key": active_key} if active_key and active_key != "" else None  # set credentials

    client = HUBClient(credentials)  # initialize HUBClient

    if client.authenticated:
        # Successfully authenticated with HUB

        if save and client.api_key != saved_key:
            SETTINGS.update({"api_key": client.api_key})  # update settings with valid API key

        # Set message based on whether key was provided or retrieved from settings
        log_message = (
            "New authentication successful ✅" if client.api_key == api_key or not credentials else "Authenticated ✅"
        )
        LOGGER.info(f"{PREFIX}{log_message}")

        return True
    else:
        # Failed to authenticate with HUB
        LOGGER.info(f"{PREFIX}Get API key from {api_key_url} and then run 'yolo login API_KEY'")
        return False





ultralytics.hub.logout

logout()

Log out of Ultralytics HUB by removing the API key from the settings file. To log in again, use 'yolo login'.

Example
from ultralytics import hub

hub.logout()
Source code in ultralytics/hub/__init__.py
def logout():
    """
    Log out of Ultralytics HUB by removing the API key from the settings file. To log in again, use 'yolo login'.

    Example:
        ```python
        from ultralytics import hub

        hub.logout()
        ```
    """
    SETTINGS["api_key"] = ""
    LOGGER.info(f"{PREFIX}logged out ✅. To log in again, use 'yolo login'.")





ultralytics.hub.reset_model

reset_model(model_id='')

Reset a trained model to an untrained state.

Source code in ultralytics/hub/__init__.py
def reset_model(model_id=""):
    """Reset a trained model to an untrained state."""
    r = requests.post(f"{HUB_API_ROOT}/model-reset", json={"modelId": model_id}, headers={"x-api-key": Auth().api_key})
    if r.status_code == 200:
        LOGGER.info(f"{PREFIX}Model reset successfully")
        return
    LOGGER.warning(f"{PREFIX}Model reset failure {r.status_code} {r.reason}")





ultralytics.hub.export_fmts_hub

export_fmts_hub()

Returns a list of HUB-supported export formats.

Source code in ultralytics/hub/__init__.py
def export_fmts_hub():
    """Returns a list of HUB-supported export formats."""
    from ultralytics.engine.exporter import export_formats

    return list(export_formats()["Argument"][1:]) + ["ultralytics_tflite", "ultralytics_coreml"]





ultralytics.hub.export_model

export_model(model_id='', format='torchscript')

Export a model to all formats.

Source code in ultralytics/hub/__init__.py
def export_model(model_id="", format="torchscript"):
    """Export a model to all formats."""
    assert format in export_fmts_hub(), f"Unsupported export format '{format}', valid formats are {export_fmts_hub()}"
    r = requests.post(
        f"{HUB_API_ROOT}/v1/models/{model_id}/export", json={"format": format}, headers={"x-api-key": Auth().api_key}
    )
    assert r.status_code == 200, f"{PREFIX}{format} export failure {r.status_code} {r.reason}"
    LOGGER.info(f"{PREFIX}{format} export started ✅")





ultralytics.hub.get_export

get_export(model_id='', format='torchscript')

Get an exported model dictionary with download URL.

Source code in ultralytics/hub/__init__.py
def get_export(model_id="", format="torchscript"):
    """Get an exported model dictionary with download URL."""
    assert format in export_fmts_hub(), f"Unsupported export format '{format}', valid formats are {export_fmts_hub()}"
    r = requests.post(
        f"{HUB_API_ROOT}/get-export",
        json={"apiKey": Auth().api_key, "modelId": model_id, "format": format},
        headers={"x-api-key": Auth().api_key},
    )
    assert r.status_code == 200, f"{PREFIX}{format} get_export failure {r.status_code} {r.reason}"
    return r.json()





ultralytics.hub.check_dataset

check_dataset(path: str, task: str) -> None

Function for error-checking HUB dataset Zip file before upload. It checks a dataset for errors before it is uploaded to the HUB. Usage examples are given below.

Parameters:

Name Type Description Default
path str

Path to data.zip (with data.yaml inside data.zip).

required
task str

Dataset task. Options are 'detect', 'segment', 'pose', 'classify', 'obb'.

required
Example

Download *.zip files from https://github.com/ultralytics/hub/tree/main/example_datasets i.e. https://github.com/ultralytics/hub/raw/main/example_datasets/coco8.zip for coco8.zip.

from ultralytics.hub import check_dataset

check_dataset("path/to/coco8.zip", task="detect")  # detect dataset
check_dataset("path/to/coco8-seg.zip", task="segment")  # segment dataset
check_dataset("path/to/coco8-pose.zip", task="pose")  # pose dataset
check_dataset("path/to/dota8.zip", task="obb")  # OBB dataset
check_dataset("path/to/imagenet10.zip", task="classify")  # classification dataset

Source code in ultralytics/hub/__init__.py
def check_dataset(path: str, task: str) -> None:
    """
    Function for error-checking HUB dataset Zip file before upload. It checks a dataset for errors before it is uploaded
    to the HUB. Usage examples are given below.

    Args:
        path (str): Path to data.zip (with data.yaml inside data.zip).
        task (str): Dataset task. Options are 'detect', 'segment', 'pose', 'classify', 'obb'.

    Example:
        Download *.zip files from https://github.com/ultralytics/hub/tree/main/example_datasets
            i.e. https://github.com/ultralytics/hub/raw/main/example_datasets/coco8.zip for coco8.zip.
        ```python
        from ultralytics.hub import check_dataset

        check_dataset("path/to/coco8.zip", task="detect")  # detect dataset
        check_dataset("path/to/coco8-seg.zip", task="segment")  # segment dataset
        check_dataset("path/to/coco8-pose.zip", task="pose")  # pose dataset
        check_dataset("path/to/dota8.zip", task="obb")  # OBB dataset
        check_dataset("path/to/imagenet10.zip", task="classify")  # classification dataset
        ```
    """
    HUBDatasetStats(path=path, task=task).get_json()
    LOGGER.info(f"Checks completed correctly ✅. Upload this dataset to {HUB_WEB_ROOT}/datasets/.")



📅 Created 1 year ago ✏️ Updated 2 months ago