mobileone替换yolov5的backbone的代码

这是一个示例代码，用MobileNetV3替换YoloV5的backbone：

import torch
import torch.nn as nn
import torchvision.models as models
from yolov5.models.yolo import Detect

class YoloV5MobileNet(nn.Module):
    def __init__(self, num_classes=80):
        super(YoloV5MobileNet, self).__init__()
        self.backbone = models.mobilenet_v3_small(pretrained=True).features[:-1]
        self.neck = nn.Sequential(
            nn.Conv2d(960, 576, kernel_size=1, stride=1, padding=0),
            nn.BatchNorm2d(576),
            nn.ReLU(inplace=True),
            nn.Conv2d(576, 1280, kernel_size=3, stride=1, padding=1),
            nn.BatchNorm2d(1280),
            nn.ReLU(inplace=True),
            nn.Conv2d(1280, 576, kernel_size=1, stride=1, padding=0),
            nn.BatchNorm2d(576),
            nn.ReLU(inplace=True),
            nn.Conv2d(576, 1280, kernel_size=3, stride=1, padding=1),
            nn.BatchNorm2d(1280),
            nn.ReLU(inplace=True),
        )
        self.head = nn.Sequential(
            nn.Conv2d(1280, 512, kernel_size=1, stride=1, padding=0),
            nn.BatchNorm2d(512),
            nn.ReLU(inplace=True),
            nn.Conv2d(512, 1024, kernel_size=3, stride=1, padding=1),
            nn.BatchNorm2d(1024),
            nn.ReLU(inplace=True),
            nn.Conv2d(1024, 512, kernel_size=1, stride=1, padding=0),
            nn.BatchNorm2d(512),
            nn.ReLU(inplace=True),
            nn.Conv2d(512, 1024, kernel_size=3, stride=1, padding=1),
            nn.BatchNorm2d(1024),
            nn.ReLU(inplace=True),
            nn.Conv2d(1024, 512, kernel_size=1, stride=1, padding=0),
            nn.BatchNorm2d(512),
            nn.ReLU(inplace=True),
            nn.Conv2d(512, 1024, kernel_size=3, stride=1, padding=1),
            nn.BatchNorm2d(1024),
            nn.ReLU(inplace=True),
        )
        self.detect = Detect(num_classes=num_classes)

    def forward(self, x):
        x = self.backbone(x)
        x = self.neck(x)
        x = self.head(x)
        return self.detect(x)

model = YoloV5MobileNet()

请注意，这是一个简单的示例，可能需要进一步的调整和修改以适合您的数据集和应用场景。此外，这个代码只适用于YoloV5的backbone使用CSPDarkNet53的情况。如果您使用的是其他backbone，可能需要进行更多的修改。