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mmcls.models.ClsHead

class mmcls.models.ClsHead(loss={'loss_weight': 1.0, 'type': 'CrossEntropyLoss'}, topk=(1,), cal_acc=False, init_cfg=None)[源代码]

classification head.

参数
  • loss (dict) – Config of classification loss.

  • topk (int | tuple) – Top-k accuracy.

  • cal_acc (bool) – Whether to calculate accuracy during training. If you use Mixup/CutMix or something like that during training, it is not reasonable to calculate accuracy. Defaults to False.

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