可以建公司网站/企业培训师资格证报考2022

参考链接1: 睿智的目标检测23——Pytorch搭建SSD目标检测平台
参考链接2: bubbliiiing/ssd-pytorch
参考链接3: Pytorch 搭建自己的SSD目标检测平台（Bubbliiiing 深度学习 教程）

代码:

import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
import osbase = [64, 64, 'M', 128, 128, 'M', 256, 256, 256, 'C', 512, 512, 512, 'M',512, 512, 512]def vgg(i):  # add_vgg(3)layers = []in_channels = ifor v in base:if v == 'M':layers += [nn.MaxPool2d(kernel_size=2, stride=2)]elif v == 'C':layers += [nn.MaxPool2d(kernel_size=2, stride=2, ceil_mode=True)]else:conv2d = nn.Conv2d(in_channels, v, kernel_size=3, padding=1)layers += [conv2d, nn.ReLU(inplace=True)]in_channels = vpool5 = nn.MaxPool2d(kernel_size=3, stride=1, padding=1)conv6 = nn.Conv2d(512, 1024, kernel_size=3, padding=6, dilation=6)conv7 = nn.Conv2d(1024, 1024, kernel_size=1)layers += [pool5, conv6,nn.ReLU(inplace=True), conv7, nn.ReLU(inplace=True)]return layersif __name__ == "__main__":print(r'运行程序: nets\vgg.py')my_vgg = vgg(3)print(r'结束程序: nets\vgg.py')

调试程序,查看主干部分结构:

手工模拟代码执行手稿: