def define_model(is_resnet, is_densenet, is_senet):
if is_resnet:
original_model = resnet.resnet50(pretrained = True)
Encoder = modules.E_resnet(original_model)
model = net.model(Encoder, num_features=2048, block_channel = [256, 512, 1024, 2048])
if is_densenet:
original_model = densenet.densenet161(pretrained=True)
Encoder = modules.E_densenet(original_model)
model = net.model(Encoder, num_features=2208, block_channel = [192, 384, 1056, 2208])
if is_senet:
original_model = senet.senet154(pretrained='imagenet')
Encoder = modules.E_senet(original_model)
model = net.model(Encoder, num_features=2048, block_channel = [256, 512, 1024, 2048])
return model
def define_model(target):
model = None
if target is 'resnet':
original_model = resnet.resnet50(pretrained=True)
encoder = modules.E_resnet(original_model)
model = net.model(encoder,
num_features=2048,
block_channel=[256, 512, 1024, 2048])
elif target is 'densenet':
original_model = densenet.densenet161(pretrained=True)
encoder = modules.E_densenet(original_model)
model = net.model(encoder,
num_features=2208,
block_channel=[192, 384, 1056, 2208])
elif target is 'senet':
original_model = senet.senet154(pretrained='imagenet')
encoder = modules.E_senet(original_model)
model = net.model(encoder,
num_features=2048,
block_channel=[256, 512, 1024, 2048])
return model