# 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.

    Usage - Predict:
        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 model == 'FastSAM.pt':
            model = 'FastSAM-x.pt'
        assert Path(model).suffix != '.yaml', 'FastSAM models only support pre-trained models.'
        super().__init__(model=model, task='segment')

    @property
    def task_map(self):
        return {'segment': {'predictor': FastSAMPredictor, 'validator': FastSAMValidator}}