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94 lines
3.3 KiB
94 lines
3.3 KiB
# Ultralytics YOLO 🚀, GPL-3.0 license
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import requests
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from ultralytics.hub.auth import Auth
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from ultralytics.hub.session import HUBTrainingSession
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from ultralytics.hub.utils import PREFIX, split_key
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from ultralytics.yolo.engine.exporter import EXPORT_FORMATS_LIST
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from ultralytics.yolo.engine.model import YOLO
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from ultralytics.yolo.utils import LOGGER, emojis
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# Define all export formats
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EXPORT_FORMATS_HUB = EXPORT_FORMATS_LIST + ['ultralytics_tflite', 'ultralytics_coreml']
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def start(key=''):
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"""
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Start training models with Ultralytics HUB. Usage: from ultralytics.hub import start; start('API_KEY')
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"""
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auth = Auth(key)
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if not auth.get_state():
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model_id = request_api_key(auth)
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else:
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_, model_id = split_key(key)
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if not model_id:
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raise ConnectionError(emojis('Connecting with global API key is not currently supported. ❌'))
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session = HUBTrainingSession(model_id=model_id, auth=auth)
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session.check_disk_space()
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model = YOLO(model=session.model_file, session=session)
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model.train(**session.train_args)
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def request_api_key(auth, max_attempts=3):
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"""
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Prompt the user to input their API key. Returns the model ID.
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"""
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import getpass
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for attempts in range(max_attempts):
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LOGGER.info(f'{PREFIX}Login. Attempt {attempts + 1} of {max_attempts}')
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input_key = getpass.getpass('Enter your Ultralytics HUB API key:\n')
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auth.api_key, model_id = split_key(input_key)
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if auth.authenticate():
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LOGGER.info(f'{PREFIX}Authenticated ✅')
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return model_id
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LOGGER.warning(f'{PREFIX}Invalid API key ⚠️\n')
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raise ConnectionError(emojis(f'{PREFIX}Failed to authenticate ❌'))
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def reset_model(key=''):
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# Reset a trained model to an untrained state
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api_key, model_id = split_key(key)
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r = requests.post('https://api.ultralytics.com/model-reset', json={'apiKey': api_key, 'modelId': model_id})
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if r.status_code == 200:
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LOGGER.info(f'{PREFIX}Model reset successfully')
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return
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LOGGER.warning(f'{PREFIX}Model reset failure {r.status_code} {r.reason}')
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def export_model(key='', format='torchscript'):
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# Export a model to all formats
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assert format in EXPORT_FORMATS_HUB, f"Unsupported export format '{format}', valid formats are {EXPORT_FORMATS_HUB}"
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api_key, model_id = split_key(key)
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r = requests.post('https://api.ultralytics.com/export',
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json={
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'apiKey': api_key,
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'modelId': model_id,
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'format': format})
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assert r.status_code == 200, f'{PREFIX}{format} export failure {r.status_code} {r.reason}'
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LOGGER.info(f'{PREFIX}{format} export started ✅')
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def get_export(key='', format='torchscript'):
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# Get an exported model dictionary with download URL
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assert format in EXPORT_FORMATS_HUB, f"Unsupported export format '{format}', valid formats are {EXPORT_FORMATS_HUB}"
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api_key, model_id = split_key(key)
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r = requests.post('https://api.ultralytics.com/get-export',
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json={
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'apiKey': api_key,
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'modelId': model_id,
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'format': format})
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assert r.status_code == 200, f'{PREFIX}{format} get_export failure {r.status_code} {r.reason}'
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return r.json()
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if __name__ == '__main__':
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start()
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