ultralytics 8.0.239 Ultralytics Actions and hub-sdk adoption (#7431)

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Burhan <62214284+Burhan-Q@users.noreply.github.com>
Co-authored-by: Kayzwer <68285002+Kayzwer@users.noreply.github.com>
This commit is contained in:
Glenn Jocher 2024-01-10 03:16:08 +01:00 committed by GitHub
parent e795277391
commit fe27db2f6e
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23
139 changed files with 6870 additions and 5125 deletions

View file

@ -21,10 +21,10 @@ def login(api_key: str = None, save=True) -> bool:
Returns:
bool: True if authentication is successful, False otherwise.
"""
api_key_url = f'{HUB_WEB_ROOT}/settings?tab=api+keys' # Set the redirect URL
saved_key = SETTINGS.get('api_key')
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
credentials = {"api_key": active_key} if active_key and active_key != "" else None # set credentials
client = HUBClient(credentials) # initialize HUBClient
@ -32,17 +32,18 @@ def login(api_key: str = None, save=True) -> bool:
# 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
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}')
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}Retrieve API key from {api_key_url}')
LOGGER.info(f"{PREFIX}Retrieve API key from {api_key_url}")
return False
@ -57,50 +58,50 @@ def logout():
hub.logout()
```
"""
SETTINGS['api_key'] = ''
SETTINGS["api_key"] = ""
SETTINGS.save()
LOGGER.info(f"{PREFIX}logged out ✅. To log in again, use 'yolo hub login'.")
def reset_model(model_id=''):
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})
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')
LOGGER.info(f"{PREFIX}Model reset successfully")
return
LOGGER.warning(f'{PREFIX}Model reset failure {r.status_code} {r.reason}')
LOGGER.warning(f"{PREFIX}Model reset failure {r.status_code} {r.reason}")
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']
return list(export_formats()["Argument"][1:]) + ["ultralytics_tflite", "ultralytics_coreml"]
def export_model(model_id='', format='torchscript'):
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 ✅')
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 ✅")
def get_export(model_id='', format='torchscript'):
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}'
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()
def check_dataset(path='', task='detect'):
def check_dataset(path="", task="detect"):
"""
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.
@ -119,4 +120,4 @@ def check_dataset(path='', task='detect'):
```
"""
HUBDatasetStats(path=path, task=task).get_json()
LOGGER.info(f'Checks completed correctly ✅. Upload this dataset to {HUB_WEB_ROOT}/datasets/.')
LOGGER.info(f"Checks completed correctly ✅. Upload this dataset to {HUB_WEB_ROOT}/datasets/.")