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now, one can only use DEFAULT weights for torchvision which is limited behavior (our goal is flexible behavior)
we need to make feature extraction more flexible for a source by inheritance from a base extractor class and a backend-specific extractor class (TensorFlowMixin and PyTorchMixin); something along the following lines does the trick
Write a function that takes in the source (e.g., torchvision, timm) and a source-specific config object (see issue Source-specific config classes #87 ) and returns the respective extractor object (not the class itself)
LukasMut
changed the title
extractor class for each source with inheritance from a base extractor class
source-specific extractor classes that inherit from a base extractor class
Oct 9, 2022
DEFAULT
weights fortorchvision
which is limited behavior (our goal is flexible behavior)source
by inheritance from a base extractor class and a backend-specific extractor class (TensorFlowMixin
andPyTorchMixin
); something along the following lines does the trickThe text was updated successfully, but these errors were encountered: