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 _upsample_add(self, x, y):
        '''Upsample and add two feature maps.

        Args:
          x: (Variable) top feature map to be upsampled.
          y: (Variable) lateral feature map.

        Returns:
          (Variable) added feature map.

        Note in PyTorch, when input size is odd, the upsampled feature map
        with `F.upsample(..., scale_factor=2, mode='nearest')`
        maybe not equal to the lateral feature map size.

        e.g.
        original input size: [N,_,15,15] ->
        conv2d feature map size: [N,_,8,8] ->
        upsampled feature map size: [N,_,16,16]

        So we choose bilinear upsample which supports arbitrary output sizes.
        '''
        _,_,H,W = y.size()
        return F.upsample(x, size=(H,W), mode='bilinear') + y
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