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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.
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 not in ('.yaml', '.yml'), 'FastSAM models only support pre-trained models.'
super().__init__(model=model, task='segment')
@property
def task_map(self):
return {'segment': {'predictor': FastSAMPredictor, 'validator': FastSAMValidator}}
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