(num_classes=1000, pretrained='imagenet')
return model
Constructs a ResNet-50 model.
Constructs a ResNet-50 model.
Constructs a ResNet - 50 model .
def resnet50(num_classes=1000, pretrained='imagenet'):
    """Constructs a ResNet-50 model.
    """
    model = models.resnet50(pretrained=False)
    if pretrained is not None:
        settings = pretrained_settings['resnet50'][pretrained]
        model = load_pretrained(model, num_classes, settings)
    model = modify_resnets(model)
    return model
def resnet50 ( num_classes = 1000 , pretrained = 'imagenet' ) : model = models . resnet50 ( pretrained = False ) if pretrained is not None : settings = pretrained_settings [ 'resnet50' ] [ pretrained ] model = load_pretrained ( model , num_classes , settings ) model = modify_resnets ( model ) return model