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# SRC: https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix/blob/master/models/__init__.py | |
import logging | |
import importlib | |
from .abs_model import abs_model | |
def find_model_using_name(model_name): | |
"""Import the module "models/[model_name].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 | |
modellib = importlib.import_module(model_filename) | |
model = None | |
target_model_name = model_name | |
for name, cls in modellib.__dict__.items(): | |
if name.lower() == target_model_name.lower() \ | |
and issubclass(cls, abs_model): | |
model = cls | |
if model is None: | |
err = "In %s.py, there should be a subclass of BaseModel with class name that matches %s in lowercase." % (model_filename, target_model_name) | |
logging.error(err) | |
exit(0) | |
return model | |
def create_model(opt): | |
"""Create a model given the option. | |
This funct | |
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']['name']) | |
instance = model(opt) | |
logging.info("model [%s] was created" % type(instance).__name__) | |
return instance | |