Python models.resnet152() Examples

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Example #1
Source File: model.py    From FashionAI with MIT License 5 votes vote down vote up 
def create_model(name, num_classes):
    if name == 'resnet34':
        model = models.resnet34(True)
        model.fc = nn.Linear(model.fc.in_features, num_classes)
        nn.init.xavier_uniform(model.fc.weight)
        nn.init.constant(model.fc.bias, 0)
    elif name == 'resnet152':
        model = models.resnet152(True)
        model.fc = nn.Linear(model.fc.in_features, num_classes)
        nn.init.xavier_uniform(model.fc.weight)
        nn.init.constant(model.fc.bias, 0)
    elif name == 'densenet121':
        model = models.densenet121(True)
        model.classifier = nn.Linear(model.classifier.in_features, num_classes)
        nn.init.xavier_uniform(model.classifier.weight)
        nn.init.constant(model.classifier.bias, 0)
    elif name == 'vgg11_bn':
        model = models.vgg11_bn(False, num_classes)
    elif name == 'vgg19_bn':
        model = models.vgg19_bn(True)
        model.classifier._modules['6'] = nn.Linear(model.classifier._modules['6'].in_features, num_classes)
        nn.init.xavier_uniform(model.classifier._modules['6'].weight)
        nn.init.constant(model.classifier._modules['6'].bias, 0)
    elif name == 'alexnet':
        model = models.alexnet(True)
        model.classifier._modules['6'] = nn.Linear(model.classifier._modules['6'].in_features, num_classes)
        nn.init.xavier_uniform(model.classifier._modules['6'].weight)
        nn.init.constant(model.classifier._modules['6'].bias, 0)
    else:
        model = Net(num_classes)

    return model