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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}}