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https://github.com/THU-MIG/yolov10.git
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f5d003d05a
Co-authored-by: Yonghye Kwon <developer.0hye@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Kalen Michael <kalenmike@gmail.com>
99 lines
3.5 KiB
Python
99 lines
3.5 KiB
Python
# 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 split_key
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from ultralytics.yolo.engine.exporter import export_formats
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from ultralytics.yolo.engine.model import YOLO
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from ultralytics.yolo.utils import LOGGER, emojis, PREFIX
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# Define all export formats
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EXPORT_FORMATS = list(export_formats()['Argument'][1:]) + ["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 src.ultralytics import start; start('API_KEY')
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"""
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auth = Auth(key)
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try:
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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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trainer = YOLO(session.input_file)
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session.register_callbacks(trainer)
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trainer.train(**session.train_args)
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except Exception as e:
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LOGGER.warning(f"{PREFIX}{e}")
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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, f"Unsupported export format '{format}' passed, valid formats are {EXPORT_FORMATS}"
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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, f"Unsupported export format '{format}' passed, valid formats are {EXPORT_FORMATS}"
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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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# temp. For checking
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if __name__ == "__main__":
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start()
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