INNER CODE UNIT · Python

_load_model

minivision-ai/Silent-Face-Anti-Spoofing · src/anti_spoof_predict.py:59

    def _load_model(self, model_path):
        # define model
        model_name = os.path.basename(model_path)
        h_input, w_input, model_type, _ = parse_model_name(model_name)
        self.kernel_size = get_kernel(h_input, w_input,)
        self.model = MODEL_MAPPING[model_type](conv6_kernel=self.kernel_size).to(self.device)

        # load model weight
        state_dict = torch.load(model_path, map_location=self.device)
        keys = iter(state_dict)
        first_layer_name = keys.__next__()
        if first_layer_name.find('module.') >= 0:
            from collections import OrderedDict
            new_state_dict = OrderedDict()
            for key, value in state_dict.items():
                name_key = key[7:]
                new_state_dict[name_key] = value
            self.model.load_state_dict(new_state_dict)

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