Train: Migrate data loading to Torch#1540
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| @@ -476,7 +478,10 @@ def split_mask(self) -> np.ndarray: | |||
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| def get_landmark_mask(self, | |||
| area: T.Literal["eye", "mouth", "face", "face_extended"], | |||
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| import numpy.typing as npt | ||
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| logger = logging.getLogger(__name__) | ||
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0x43190Ee2dE751777b16Ca6DF7e56fcf040297B07
| import numpy.typing as npt | ||
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| logger = logging.getLogger(__name__) | ||
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0x43190Ee2dE751777b16Ca6DF7e56fcf040297B07
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This PR consolidates all custom training data loading code to Torch Datasets and DataLoaders