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# Ultralytics YOLO 🚀, AGPL-3.0 license
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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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