Benchmark multi-model/multi-view models.
Note
This page is a reference documentation. It only explains the function signature, and not how to use it. Please refer to the gallery for the big picture.
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mmbench.model.get_neuroclav(checkpointfile, layers=(444, 256, 20), **kwargs)[source]ΒΆ Return the NeuroCLAV model.
- Parameters
checkpointfiles : str
path to the model weights.
layers : a list of int, default (444, 256, 20)
the MLP layers definition.
kwargs : dict
extra parameters passed to the NeuroCLAV constructor.
- Returns
model : Module
the instanciated model.
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