作者:NethJ | 来源:互联网 | 2023-06-03 09:54
本文由编程笔记#小编为大家整理,主要介绍了pytorch 修改预训练model相关的知识,希望对你有一定的参考价值。 class Net(nn.Module): def __in
本文由编程笔记#小编为大家整理,主要介绍了pytorch 修改预训练model相关的知识,希望对你有一定的参考价值。
class Net(nn.Module):
def __init__(self , model):
super(Net, self).__init__()
#取掉model的后两层
self.resnet_layer = nn.Sequential(*list(model.children())[:-2])
self.transion_layer = nn.ConvTranspose2d(2048, 2048, kernel_size=14, stride=3)
self.pool_layer = nn.MaxPool2d(32)
self.Linear_layer = nn.Linear(2048, 8)
def forward(self, x):
x = self.resnet_layer(x)
x = self.transion_layer(x)
x = self.pool_layer(x)
x = x.view(x.size(0), -1)
x = self.Linear_layer(x)
return x
resnet = models.resnet50(pretrained=True)
model = Net(resnet)