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from ultralytics.engine.model import Model |
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from ultralytics.nn.tasks import YOLOv10DetectionModel |
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from .val import YOLOv10DetectionValidator |
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from .predict import YOLOv10DetectionPredictor |
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from .train import YOLOv10DetectionTrainer |
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from huggingface_hub import PyTorchModelHubMixin |
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from .card import card_template_text |
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class YOLOv10(Model, PyTorchModelHubMixin, model_card_template=card_template_text): |
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def __init__(self, model="yolov10n.pt", task=None, verbose=False, |
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names=None): |
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super().__init__(model=model, task=task, verbose=verbose) |
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if names is not None: |
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setattr(self.model, 'names', names) |
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def push_to_hub(self, repo_name, **kwargs): |
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config = kwargs.get('config', {}) |
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config['names'] = self.names |
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config['model'] = self.model.yaml['yaml_file'] |
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config['task'] = self.task |
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kwargs['config'] = config |
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super().push_to_hub(repo_name, **kwargs) |
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@property |
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def task_map(self): |
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"""Map head to model, trainer, validator, and predictor classes.""" |
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return { |
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"detect": { |
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"model": YOLOv10DetectionModel, |
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"trainer": YOLOv10DetectionTrainer, |
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"validator": YOLOv10DetectionValidator, |
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"predictor": YOLOv10DetectionPredictor, |
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}, |
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} |
