(self, x)
return h
Compute a feature map from a batch of images.

        Args:
            x (ndarray): An array holding a batch of images.
                The images should be resized to :math:`416\\times 416`.

        Returns:
            Variable:
Compute a feature map from a batch of images.
Compute a feature map from a batch of images .
def forward(self, x):
        """Compute a feature map from a batch of images.

        Args:
            x (ndarray): An array holding a batch of images.
                The images should be resized to :math:`416\\times 416`.

        Returns:
            Variable:
        """

        h = x
        for i, link in enumerate(self):
            h = link(h)
            if i == 12:
                tmp = h
            elif i == 19:
                h, tmp = tmp, h
            elif i == 20:
                h = F.concat((_reorg(h), tmp))
            if i in {0, 1, 4, 7, 12}:
                h = _maxpool(h, 2)
        return h
def forward ( self , x ) : h = x for i , link in enumerate ( self ) : h = link ( h ) if i == 12 : tmp = h elif i == 19 : h , tmp = tmp , h elif i == 20 : h = F . concat ( ( _reorg ( h ) , tmp ) ) if i in { 0 , 1 , 4 , 7 , 12 } : h = _maxpool ( h , 2 ) return h