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24 lines
847 B
24 lines
847 B
9 hours ago
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# Copied from https://github.com/mlcommons/training/blob/637c82f9e699cd6caf108f92efb2c1d446b630e0/single_stage_detector/ssd/presets.py
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from test.external.mlperf_retinanet import transforms as T
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class DetectionPresetTrain:
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def __init__(self, data_augmentation, hflip_prob=0.5, mean=(123., 117., 104.)):
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if data_augmentation == 'hflip':
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self.transforms = T.Compose([
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T.RandomHorizontalFlip(p=hflip_prob),
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T.ToTensor(),
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])
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else:
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raise ValueError(f'Unknown data augmentation policy "{data_augmentation}"')
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def __call__(self, img, target):
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return self.transforms(img, target)
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class DetectionPresetEval:
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def __init__(self):
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self.transforms = T.ToTensor()
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def __call__(self, img, target):
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return self.transforms(img, target)
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