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__init__.py
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__init__.py
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import importlib
from models.base_model import BaseModel
def find_model_using_name(model_name):
"""Import the module "models/[model_name]_model.py".
In the file, the class called DatasetNameModel() will
be instantiated. It has to be a subclass of BaseModel,
and it is case-insensitive.
"""
model_filename = "models." + model_name + '_model'
modellib = importlib.import_module(model_filename)
model = None
target_model_name = model_name.replace('_', '') + 'model'
for name, cls in modellib.__dict__.items():
if name.lower() == target_model_name.lower() \
and issubclass(cls, BaseModel):
model = cls
if model is None:
print("In %s.py, there should be a subclass of BaseModel with class name that matches %s in lowercase." % (
model_filename, target_model_name))
exit(0)
return model
def get_option_setter(model_name):
"""Return the static method <modify_commandline_options> of the model class."""
model_class = find_model_using_name(model_name)
return model_class.modify_commandline_options
def create_model(opt, verbose=True):
"""Create a model given the option.
This function warps the class CustomDatasetDataLoader.
This is the main interface between this package and 'train.py'/'test.py'
Example:
>>> from models import create_model
>>> model = create_model(opt)
"""
model = find_model_using_name(opt.model)
instance = model(opt)
if verbose:
print("model [%s] was created" % type(instance).__name__)
return instance