你能给我一个使用CNN将图像切图转换为固定长度的特征向量的代码嘛?
时间: 2023-03-07 21:17:42 浏览: 81
可以,以下是一个可用于将图像切图转换为固定长度的特征向量的CNN代码:import torch
import torch.nn as nn
import torch.nn.functional as Fclass MyCNN(nn.Module):
def __init__(self):
super(MyCNN, self).__init__()
self.conv1 = nn.Conv2d(1, 16, 3, padding=1)
self.pool = nn.MaxPool2d(2, 2)
self.conv2 = nn.Conv2d(16, 32, 3, padding=1)
self.fc1 = nn.Linear(32 * 7 * 7, 128)
self.fc2 = nn.Linear(128, 64)
self.fc3 = nn.Linear(64, 10) def forward(self, x):
x = self.pool(F.relu(self.conv1(x)))
x = self.pool(F.relu(self.conv2(x)))
x = x.view(-1, 32 * 7 * 7)
x = F.relu(self.fc1(x))
x = F.relu(self.fc2(x))
x = self.fc3(x)
return x