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- # Ultralytics YOLO 🚀, AGPL-3.0 license
- from pathlib import Path
- from ultralytics.engine.model import Model
- from .predict import FastSAMPredictor
- from .val import FastSAMValidator
- class FastSAM(Model):
- """
- FastSAM model interface.
- Example:
- ```python
- from ultralytics import FastSAM
- model = FastSAM('last.pt')
- results = model.predict('ultralytics/assets/bus.jpg')
- ```
- """
- def __init__(self, model="FastSAM-x.pt"):
- """Call the __init__ method of the parent class (YOLO) with the updated default model."""
- if str(model) == "FastSAM.pt":
- model = "FastSAM-x.pt"
- assert Path(model).suffix not in {".yaml", ".yml"}, "FastSAM models only support pre-trained models."
- super().__init__(model=model, task="segment")
- @property
- def task_map(self):
- """Returns a dictionary mapping segment task to corresponding predictor and validator classes."""
- return {"segment": {"predictor": FastSAMPredictor, "validator": FastSAMValidator}}
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