ultralytics 8.0.100
add Mosaic9() augmentation (#2605)
Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com> Co-authored-by: Tommy in Tongji <36354458+TommyZihao@users.noreply.github.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: BIGBOSS-FOX <47949596+BIGBOSS-FOX@users.noreply.github.com> Co-authored-by: xbkaishui <xxkaishui@gmail.com>
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@ -114,7 +114,11 @@ sam_model_map = {
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def build_sam(ckpt='sam_b.pt'):
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"""Build a SAM model specified by ckpt."""
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model_builder = sam_model_map.get(ckpt)
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model_builder = None
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for k in sam_model_map.keys():
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if ckpt.endswith(k):
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model_builder = sam_model_map.get(k)
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if not model_builder:
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raise FileNotFoundError(f'{ckpt} is not a supported sam model. Available models are: \n {sam_model_map.keys()}')
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@ -9,7 +9,7 @@ from .predict import Predictor
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class SAM:
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def __init__(self, model='sam_b.pt') -> None:
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if model and not (model.endswith('.pt') or model.endswith('.pth')):
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if model and not model.endswith('.pt') and not model.endswith('.pth'):
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# Should raise AssertionError instead?
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raise NotImplementedError('Segment anything prediction requires pre-trained checkpoint')
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self.model = build_sam(model)
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