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model_factory.py
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model_factory.py
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import torch.nn as nn
from torchvision import models
class Resnet50Fc(nn.Module):
def __init__(self):
super(Resnet50Fc, self).__init__()
model_resnet50 = models.resnet50(pretrained=True)
self.conv1 = model_resnet50.conv1
self.bn1 = model_resnet50.bn1
self.relu = model_resnet50.relu
self.maxpool = model_resnet50.maxpool
self.layer1 = model_resnet50.layer1
self.layer2 = model_resnet50.layer2
self.layer3 = model_resnet50.layer3
self.layer4 = model_resnet50.layer4
self.avgpool = model_resnet50.avgpool
self.__in_features = model_resnet50.fc.in_features
def forward(self, x):
x = self.conv1(x)
x = self.bn1(x)
x = self.relu(x)
x = self.maxpool(x)
x = self.layer1(x)
x = self.layer2(x)
x = self.layer3(x)
x = self.layer4(x)
x = self.avgpool(x)
x = x.view(x.size(0), -1)
return x
def output_num(self):
return self.__in_features
class Resnet101Fc(nn.Module):
def __init__(self):
super(Resnet101Fc, self).__init__()
model_resnet101 = models.resnet101(pretrained=True)
self.conv1 = model_resnet101.conv1
self.bn1 = model_resnet101.bn1
self.relu = model_resnet101.relu
self.maxpool = model_resnet101.maxpool
self.layer1 = model_resnet101.layer1
self.layer2 = model_resnet101.layer2
self.layer3 = model_resnet101.layer3
self.layer4 = model_resnet101.layer4
self.avgpool = model_resnet101.avgpool
self.__in_features = model_resnet101.fc.in_features
def forward(self, x):
x = self.conv1(x)
x = self.bn1(x)
x = self.relu(x)
x = self.maxpool(x)
x = self.layer1(x)
x = self.layer2(x)
x = self.layer3(x)
x = self.layer4(x)
x = self.avgpool(x)
x = x.view(x.size(0), -1)
return x
def output_num(self):
return self.__in_features