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mmcls.models.MultiLabelLinearClsHead¶

class mmcls.models.MultiLabelLinearClsHead(num_classes, in_channels, loss={'loss_weight': 1.0, 'reduction': 'mean', 'type': 'CrossEntropyLoss', 'use_sigmoid': True}, init_cfg={'layer': 'Linear', 'std': 0.01, 'type': 'Normal'})[源代码]¶

Linear classification head for multilabel task.

参数

num_classes (int) – Number of categories.
in_channels (int) – Number of channels in the input feature map.
loss (dict) – Config of classification loss.
init_cfg (dict | optional) – The extra init config of layers. Defaults to use dict(type=’Normal’, layer=’Linear’, std=0.01).