Unet++网络结构代码(pytorch)

最新推荐文章于 2024-04-15 18:01:23 发布

smallworldxyl

最新推荐文章于 2024-04-15 18:01:23 发布

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分类专栏： pytorch 图像分割文章标签：图像分割 pytorch unet++

本文链接：https://blog.youkuaiyun.com/smallworldxyl/article/details/121591172

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网络结构图如下：
在这里插入图片描述

import torch
from torch import nn
import torch.nn.functional as F
from torch.utils.tensorboard import SummaryWriter

class VGGBlock(nn.Module):
    def __init__(self, in_channels, middle_channels, out_channels):
        super().__init__()
        self.relu = nn.ReLU(inplace=True)
        self.conv1 = nn.Conv2d(in_channels, middle_channels, 3, padding=1)
        self.bn1 = nn.BatchNorm2d(middle_channels)
        self.conv2 = nn.Conv2d(middle_channels, out_channels, 3, padding=1)
        self.bn2 = nn.BatchNorm2d(out_channels)

    def forward(self, x):
        out = self.conv1(x)
        out = self.bn1(out)
        out = self.relu(out)

        out = self.conv2(out)
        out = self.bn2(out)
        out = self.relu(out)

        return out

class Up(nn.Module):
    """Upscaling and concat"""

    def __init__(self):
        super().__init__()
        self.up = nn.Upsample(scale_factor=2, mode='bilinear', align_corners=True)

    def forward(self, x1, x2):
        x1 = self.up(x1)
        # input is CHW
        diffY = torch.tensor([x2.size()[2] - x1.size()[2]])
        diffX =