fpn.py 文件源码

python
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项目:pytorch-retinanet 作者: kuangliu 项目源码 文件源码
def forward(self, x):
        # Bottom-up
        c1 = F.relu(self.bn1(self.conv1(x)))
        c1 = F.max_pool2d(c1, kernel_size=3, stride=2, padding=1)
        c2 = self.layer1(c1)
        c3 = self.layer2(c2)
        c4 = self.layer3(c3)
        c5 = self.layer4(c4)
        p6 = self.conv6(c5)
        p7 = self.conv7(F.relu(p6))
        # Top-down
        p5 = self.latlayer1(c5)
        p4 = self._upsample_add(p5, self.latlayer2(c4))
        p4 = self.toplayer1(p4)
        p3 = self._upsample_add(p4, self.latlayer3(c3))
        p3 = self.toplayer2(p3)
        return p3, p4, p5, p6, p7
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