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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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"""Returns a dictionary mapping segment task to corresponding predictor and validator classes.""" |
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return {"segment": {"predictor": FastSAMPredictor, "validator": FastSAMValidator}} |
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