Open itisianlee opened 1 year ago
class CLSHead(nn.Module): def __init__(self, in_ch=384, out_ch=1000, dropout=0.2): super().__init__() self.pool = nn.AdaptiveAvgPool2d(1) self.bn = nn.BatchNorm2d(in_ch) self.dropout = nn.Dropout(p=dropout, inplace=True) self.l = nn.Linear(in_ch, out_ch) def forward(self, x): x = self.bn(x) x = self.pool(x) x = torch.flatten(x, 1) x = self.dropout(x) x = self.l(x) return x
分类的头是这样的写的吗?是直接接到:self.trans = BasicLayer的输出上吗? 我使用google drive上checkpoint加载评测ImageNet val精度是59.5左右。 期待回复,谢谢
分类的头是这样的写的吗?是直接接到:self.trans = BasicLayer的输出上吗? 我使用google drive上checkpoint加载评测ImageNet val精度是59.5左右。 期待回复,谢谢