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from pathlib import Path |
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from ultralytics.engine.model import Model |
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from .predict import FastSAMPredictor |
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from .val import FastSAMValidator |
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class FastSAM(Model): |
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""" |
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FastSAM model interface. |
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Example: |
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```python |
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from ultralytics import FastSAM |
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model = FastSAM('last.pt') |
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results = model.predict('ultralytics/assets/bus.jpg') |
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``` |
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""" |
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def __init__(self, model='FastSAM-x.pt'): |
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"""Call the __init__ method of the parent class (YOLO) with the updated default model""" |
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if str(model) == 'FastSAM.pt': |
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model = 'FastSAM-x.pt' |
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assert Path(model).suffix not in ('.yaml', '.yml'), 'FastSAM models only support pre-trained models.' |
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super().__init__(model=model, task='segment') |
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@property |
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def task_map(self): |
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return {'segment': {'predictor': FastSAMPredictor, 'validator': FastSAMValidator}} |
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