【修改yolov5】给yolov5更换主干网络ShuffleNetv2_yolov5更换轻量化主干

看了迪导给yolov5网络更换主干网络ShuffleNetv2的操作后，跟着他的操作步骤更换了我自己正在学习的yolov5网络的主干，并在最后用改过后的网络跑了一下自己的数据集。以下是修改步骤：

要更换网络首先得在common.py文件中添加函数，添加的代码如下：

def channel_shuffle(x, groups):
    batchsize, num_channels, height, width = x.data.size()
    channels_per_group = num_channels // groups
    x = x.view(batchsize, groups, channels_per_group, height, width)
    x = torch.transpose(x, 1, 2).contiguous()
    x = x.view(batchsize, -1, height, width)
    return x
 
class CBRM(nn.Module):
    def __init__(self, c1, c2):
        super(CBRM, self).__init__()
        self.conv = nn.Sequential(
            nn.Conv2d(c1, c2, kernel_size=3, stride=2, padding=1, bias=False),
            nn.BatchNorm2d(c2),
            nn.ReLU(inplace=True),
        )
        self.maxpool = nn.MaxPool2d(kernel_size=3, stride=2, padding=1, dilation=1, ceil_mode=False)
 
    def forward