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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: Hassaan Farooq <103611273+hassaanfarooq01@users.noreply.github.com> Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
34 lines
1.0 KiB
Python
34 lines
1.0 KiB
Python
# 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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