YOLOv1代码复现（论文复现）

YOLOv1代码复现（论文复现）

文章目录

• • YOLOv1代码复现（论文复现）
  • • • 论文介绍
      • 主要内容
      • 实验部分
      • 缺点

论文介绍

主要内容

实验部分

卷积网络结构

计算损失

核心代码

class ResNet(nn.Module):
    def __init__(self, block, layers):
        
        super(ResNet, self).__init__()
        # 通道数64
        self.inplanes = 64
        # 卷积层和池化层
        self.conv1 = nn.Conv2d(3, 64, kernel_size=7, stride=2, padding=3,bias=False)
        self.bn1 = nn.BatchNorm2d(64)
        self.relu = nn.ReLU(inplace=True)
        self.maxpool = nn.MaxPool2d(kernel_size=3, stride=2, padding=1)
        # block块
        self.layer1 = self._make_layer(block, 64, layers[0])
        self.layer2 = self._make_layer(block, 128, layers[1], stride=2)
        self.layer3 = self._make_layer(block, 256, layers[2], stride=2)
        self.layer4 = self._make_layer(block, 512, layers[3], stride=2)
        # output_block
        self.layer5 = self._make_out_layer(in_channels=2048)
        # 将输出变为30个通道数 7*7*30
        self.avgpool = nn.AvgPool2d(2)  # kernel_size = 2  , stride = 2
        self.conv_end = nn.Conv2d(256, 30, kernel_size=3, stride=1, padding=1, bias=False)
        self.bn_end = nn.BatchNorm2d(30)
        # 参数初始化
        for m in self.modules():
            if isinstance(m, nn.Conv2d):
                n = m.kernel_size[0] * m.kernel_size[1] * m.out_channels
                m.weight.data.normal_(0, math.sqrt(2. / n))
            elif isinstance(m, nn.BatchNorm2d):
                m.weight.data.fill_(1)
                m.bias.data.zero_()

   
    def _make_layer(self, block, planes, blocks, stride=1):

    def _make_out_layer(self, in_channels):

    def forward(self, x):
        # 网络就长这样
        x = self.conv1(x)
        x = self.bn1(x)
        x = self.relu(x)
        x = self.maxpool(x)
        x = self.layer1(x)
        x = self.layer2(x)
        x = self.layer3(x)
        x = self.layer4(x)
        x = self.layer5(x)
        x = self.avgpool(x)
        x = self.conv_end(x)
        x = self.bn_end(x)
        x = F.sigmoid(x)  # sigmoid归一化到0-1
        # 改代码只要保证最后是7,7,30就行
        x = x.permute(0, 2, 3, 1)  # (-1,7,7,30)
        return x

缺点