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			<input_model_is_text value="False"/>
			<input_shape value="[1,300,300,3]"/>
			<k value="DIR/CustomLayersMapping.xml"/>
			<keep_shape_ops value="True"/>
			<legacy_mxnet_model value="False"/>
			<log_level value="ERROR"/>
			<mean_scale_values value="{'Placeholder': {'mean': array([127.5, 127.5, 127.5]), 'scale': array([127.5])}}"/>
			<mean_values value="Placeholder[127.5,127.5,127.5]"/>
			<model_name value="vehicle-license-plate-detection-barrier-0106"/>
			<output value="['SSD/concat_reshape_softmax/mbox_loc_final', 'SSD/concat_reshape_softmax/mbox_conf_final', 'SSD/concat_reshape_softmax/mbox_priorbox']"/>
			<output_dir value="DIR"/>
			<placeholder_data_types value="{}"/>
			<placeholder_shapes value="{'Placeholder': array([  1, 300, 300,   3])}"/>
			<progress value="False"/>
			<remove_memory value="False"/>
			<remove_output_softmax value="False"/>
			<reverse_input_channels value="True"/>
			<save_params_from_nd value="False"/>
			<scale_values value="Placeholder[127.5]"/>
			<silent value="False"/>
			<static_shape value="False"/>
			<stream_output value="False"/>
			<transformations_config value="DIR/MobileNetSSD.tfmo.json"/>
			<unset unset_cli_parameters="batch, counts, disable_fusing, disable_gfusing, finegrain_fusing, input_checkpoint, input_meta_graph, input_proto, input_symbol, mean_file, mean_file_offsets, move_to_preprocess, nd_prefix_name, pretrained_model_name, saved_model_dir, saved_model_tags, scale, tensorboard_logdir, tensorflow_custom_layer_libraries, tensorflow_custom_operations_config_update, tensorflow_object_detection_api_pipeline_config, tensorflow_use_custom_operations_config"/>
		</cli_parameters>
	</meta_data>
</net>
