def parse()

in params.py [0:0]


    def parse(self, args=None, namespace=None):
        if not self.initialized:
            self.initialize()
        self.params = self.parser.parse_args(args, namespace=namespace)

        if self.params.configure == "kitti":
            self.params.flow_checkpoint = "FlowNet2-KITTI"
            self.params.model_type = "monodepth2"
            self.params.overlap_ratio = 0.5
            if 'matcher' in self.params:
                self.params.matcher = 'sequential'

        # Resolve unspecified parameters
        model = get_depth_model(self.params.model_type)

        if self.params.align <= 0:
            self.params.align = model.align

        if self.params.learning_rate <= 0:
            self.params.learning_rate = model.learning_rate

        if self.params.lambda_view_baseline < 0:
            self.params.lambda_view_baseline = model.lambda_view_baseline

        self.print()

        return self.params