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mmcls.models.VisionTransformerClsHead

class mmcls.models.VisionTransformerClsHead(num_classes, in_channels, hidden_dim=None, act_cfg={'type': 'Tanh'}, init_cfg={'layer': 'Linear', 'type': 'Constant', 'val': 0}, *args, **kwargs)[source]

Vision Transformer classifier head.

Parameters

  • num_classes (int) – Number of categories excluding the background category.

  • in_channels (int) – Number of channels in the input feature map.

  • hidden_dim (int) – Number of the dimensions for hidden layer. Defaults to None, which means no extra hidden layer.

  • act_cfg (dict) – The activation config. Only available during pre-training. Defaults to dict(type='Tanh').

  • init_cfg (dict) – The extra initialization configs. Defaults to dict(type='Constant', layer='Linear', val=0).