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		<cli_parameters>
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			<data_type value="FP16"/>
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			<input_proto value="DIR/model.prototxt"/>
			<input_shape value="[1,3,1024,2048]"/>
			<k value="DIR/CustomLayersMapping.xml"/>
			<keep_shape_ops value="True"/>
			<legacy_mxnet_model value="False"/>
			<log_level value="ERROR"/>
			<mean_scale_values value="{}"/>
			<mean_values value="()"/>
			<model_name value="semantic-segmentation-adas-0001"/>
			<output value="['argmax']"/>
			<output_dir value="DIR"/>
			<placeholder_data_types value="{}"/>
			<placeholder_shapes value="{'data': array([   1,    3, 1024, 2048])}"/>
			<progress value="False"/>
			<remove_memory value="False"/>
			<remove_output_softmax value="False"/>
			<reverse_input_channels value="False"/>
			<save_params_from_nd value="False"/>
			<scale_values value="()"/>
			<silent value="False"/>
			<static_shape value="False"/>
			<stream_output value="False"/>
			<unset unset_cli_parameters="batch, counts, disable_fusing, disable_gfusing, finegrain_fusing, input_checkpoint, input_meta_graph, 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, transformations_config"/>
		</cli_parameters>
	</meta_data>
	<quantization_parameters>
		<config>{
		'compression': {
			'algorithms': [
				{
					'name': 'DefaultQuantization',
					'params': {
						'preset': 'performance',
						'stat_subset_size': 300
					}
				}
			],
			'dump_intermediate_model': true,
			'target_device': 'CPU'
		},
		'engine': {
			'models': [
				{
					'name': 'semantic-segmentation-adas-0001',
					'launchers': [
						{
							'framework': 'dlsdk',
							'adapter': 'segmentation',
							'inputs': [
								{
									'name': 'data',
									'type': 'INPUT',
									'precision': 'U8'
								}
							],
							'device': 'CPU'
						}
					],
					'datasets': [
						{
							'name': 'semantic_segmentation_adas',
							'data_source': 'PATH',
							'segmentation_masks_source': 'PATH',
							'annotation_conversion': {
								'converter': 'mapillary_20',
								'data_dir': 'PATH'
							},
							'annotation': 'mapillary_20.pickle',
							'dataset_meta': 'mapillary_20.json',
							'metrics': [
								{
									'type': 'mean_iou',
									'use_argmax': false,
									'presenter': 'print_vector'
								}
							]
						}
					]
				}
			],
			'stat_requests_number': null,
			'eval_requests_number': null,
			'type': 'accuracy_checker'
		}
	}</config>
		<version value="1.0"/>
		<cli_params value="{'evaluate': False, 'output_dir': 'PATH', 'direct_dump': True, 'log_level': 'INFO', 'pbar': False, 'stream_output': False, 'keep_uncompressed_weights': False}"/>
	</quantization_parameters>
</net>
