yolov7中如何融合sppfcpc模块给我代码实现

以下是YOLOv7融合SPPFCPC模块的示例代码：

首先，在yolov7/models/csp.py文件中，我们需要为SPPFCPC模块定义一个新的类。这个类将包含SPP和FCPC模块的定义。

class SPPFCPC(nn.Module):
    def __init__(self, in_channels, out_channels, kernel_sizes=(5, 9, 13)):
        super(SPPFCPC, self).__init__()

        self.conv1 = Conv(in_channels, out_channels, 1)
        self.conv2 = Conv(out_channels * (len(kernel_sizes) + 1), out_channels, 1)
        self.spp = SPP(out_channels, kernel_sizes=kernel_sizes)
        self.fcpc = FCPC(out_channels, out_channels)

    def forward(self, x):
        x = self.conv1(x)
        x = self.spp(x)
        x = self.fcpc(x)
        x = torch.cat((x, self.spp(x)), dim=1)
        x = self.conv2(x)
        return x

在这个类中，我们定义了一个包含1个卷积层、1个SPP层、1个FCPC层和1个卷积层的网络。我们将SPP和FCPC模块的输出连接在一起，然后通过一个卷积层来获得最终的输出。

接下来，在yolov7/models/yolo.py文件中，我们需要使用新定义的SPPFCPC类来替换原来的CSPBlock类。

class CSPBlock(nn.Module):
    def __init__(self, in_channels, out_channels, num_blocks, shortcut=True, e=0.5):
        super(CSPBlock, self).__init__()

        self.shortcut = shortcut
        hidden_channels = int(out_channels * e)

        self.conv1 = Conv(in_channels, hidden_channels, 1)
        self.conv2 = Conv(in_channels, hidden_channels, 1)
        self.conv3 = Conv(hidden_channels, hidden_channels, 1)
        self.conv4 = Conv(hidden_channels, hidden_channels, 1)
        self.conv5 = Conv(2 * hidden_channels, out_channels, 1)

        self.layers = nn.Sequential(*[
            ResLayer(hidden_channels, hidden_channels, shortcut=False)
            for _ in range(num_blocks)
        ])

        self.spp_fcpc = SPPFCPC(hidden_channels, hidden_channels)

    def forward(self, x):
        x1 = self.conv1(x)
        x2 = self.conv2(x)
        x2 = self.layers(x2)
        x2 = self.spp_fcpc(x2)
        x3 = self.conv3(x2)
        x4 = self.conv4(x3)
        x3 = torch.cat((x3, x4), dim=1)
        x3 = self.conv5(x3)

        if self.shortcut:
            x1 = F.interpolate(x1, size=x3.shape[2:], mode='nearest')
            x = torch.cat((x1, x3), dim=1)
        else:
            x = x3

        return x

在这个类中，我们将原来的卷积层和ResLayer替换为了SPPFCPC模块。我们还添加了一个shortcut参数，用于控制是否需要将原始输入连接到输出中。如果shortcut为False，则直接将SPPFCPC的输出作为最终输出。如果shortcut为True，则将原始输入通过一个插值层来与SPPFCPC的输出连接在一起。