Python models.get_option_setter() Examples

The following are 5 code examples of models.get_option_setter(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module models , or try the search function .
Example #1
Source File: base_options.py    From colorization-pytorch with MIT License 6 votes vote down vote up 
def gather_options(self):
        # initialize parser with basic options
        if not self.initialized:
            parser = argparse.ArgumentParser(
                formatter_class=argparse.ArgumentDefaultsHelpFormatter)
            parser = self.initialize(parser)

        # get the basic options
        opt, _ = parser.parse_known_args()

        # modify model-related parser options
        model_name = opt.model
        model_option_setter = models.get_option_setter(model_name)
        parser = model_option_setter(parser, self.isTrain)
        opt, _ = parser.parse_known_args()  # parse again with the new defaults

        # modify dataset-related parser options
        dataset_name = opt.dataset_mode
        dataset_option_setter = data.get_option_setter(dataset_name)
        parser = dataset_option_setter(parser, self.isTrain)

        self.parser = parser

        return parser.parse_args()
Example #2
Source File: base_options.py    From deepsaber with GNU General Public License v3.0 6 votes vote down vote up 
def gather_options(self):
        # get the basic options
        opt, _ = self.parser.parse_known_args()

        # load task module and task-specific options
        task_name = opt.task
        task_options = importlib.import_module("{}.options.task_options".format(task_name))  # must be defined in each task folder
        self.parser = argparse.ArgumentParser(parents=[self.parser, task_options.TaskOptions().parser])
        opt, _ = self.parser.parse_known_args()

        # modify model-related parser options
        model_name = opt.model
        model_option_setter = models.get_option_setter(model_name, task_name)
        parser = model_option_setter(self.parser, self.is_train)
        opt, _ = parser.parse_known_args()  # parse again with the new defaults

        # modify dataset-related parser options fsldkn
        dataset_name = opt.dataset_name
        print(dataset_name, task_name)
        dataset_option_setter = data.get_option_setter(dataset_name, task_name)
        parser = dataset_option_setter(parser, self.is_train)

        self.parser = parser

        return parser.parse_args()
Example #3
Source File: base_options.py    From angularGAN with MIT License 6 votes vote down vote up 
def gather_options(self):
        # initialize parser with basic options
        if not self.initialized:
            parser = argparse.ArgumentParser(
                formatter_class=argparse.ArgumentDefaultsHelpFormatter)
            parser = self.initialize(parser)

        # get the basic options
        opt, _ = parser.parse_known_args()

        # modify model-related parser options
        model_name = opt.model
        model_option_setter = models.get_option_setter(model_name)
        parser = model_option_setter(parser, self.isTrain)
        opt, _ = parser.parse_known_args()  # parse again with the new defaults

        # modify dataset-related parser options
        dataset_name = opt.dataset_mode
        dataset_option_setter = data.get_option_setter(dataset_name)
        parser = dataset_option_setter(parser, self.isTrain)

        self.parser = parser

        return parser.parse_args()
Example #4
Source File: base_options.py    From 2019-CCF-BDCI-OCR-MCZJ-OCR-IdentificationIDElement with MIT License 5 votes vote down vote up 
def gather_options(self):
        """Initialize our parser with basic options(only once).
        Add additional model-specific and dataset-specific options.
        These options are defined in the <modify_commandline_options> function
        in model and dataset classes.
        """
        if not self.initialized:  # check if it has been initialized
            parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter)
            parser = self.initialize(parser)

        # get the basic options
        opt, _ = parser.parse_known_args()

        # modify model-related parser options
        model_name = opt.model
        model_option_setter = models.get_option_setter(model_name)
        parser = model_option_setter(parser, self.isTrain)
        opt, _ = parser.parse_known_args()  # parse again with new defaults

        # modify dataset-related parser options
        dataset_name = opt.dataset_mode
        dataset_option_setter = data.get_option_setter(dataset_name)
        parser = dataset_option_setter(parser, self.isTrain)

        # save and return the parser
        self.parser = parser
        return parser.parse_args()
Example #5
Source File: base_options.py    From EvolutionaryGAN-pytorch with MIT License 5 votes vote down vote up 
def gather_options(self):
        """Initialize our parser with basic options(only once).
        Add additional model-specific and dataset-specific options.
        These options are defined in the <modify_commandline_options> function
        in model and dataset classes.
        """
        if not self.initialized:  # check if it has been initialized
            parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter)
            parser = self.initialize(parser)

        # get the basic options
        opt, _ = parser.parse_known_args()

        # modify model-related parser options
        model_name = opt.model
        model_option_setter = models.get_option_setter(model_name)
        parser = model_option_setter(parser, self.isTrain)
        opt, _ = parser.parse_known_args()  # parse again with new defaults

        # modify dataset-related parser options
        dataset_name = opt.dataset_mode
        dataset_option_setter = data.get_option_setter(dataset_name)
        parser = dataset_option_setter(parser, self.isTrain)

        # save and return the parser
        self.parser = parser
        return parser.parse_args()