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	<meta_data>
		<MO_version value="unknown version"/>
		<cli_parameters>
			<caffe_parser_path value="DIR"/>
			<data_type value="FP16"/>
			<disable_nhwc_to_nchw value="False"/>
			<disable_omitting_optional value="False"/>
			<disable_resnet_optimization value="False"/>
			<disable_weights_compression value="False"/>
			<enable_concat_optimization value="False"/>
			<enable_flattening_nested_params value="False"/>
			<enable_ssd_gluoncv value="False"/>
			<extensions value="DIR"/>
			<framework value="caffe"/>
			<freeze_placeholder_with_value value="{}"/>
			<generate_deprecated_IR_V7 value="False"/>
			<input value="data"/>
			<input_model value="DIR/headpos_net.caffemodel"/>
			<input_model_is_text value="False"/>
			<input_proto value="DIR/headpos_net.prototxt"/>
			<input_shape value="[1,3,60,60]"/>
			<k value="DIR/CustomLayersMapping.xml"/>
			<keep_shape_ops value="True"/>
			<legacy_mxnet_model value="False"/>
			<log_level value="ERROR"/>
			<mean_scale_values value="{'data': {'mean': array([120., 110., 104.]), 'scale': array([255.])}}"/>
			<mean_values value="data[120.0,110.0,104.0]"/>
			<model_name value="head-pose-estimation-adas-0001"/>
			<output value="['angle_r_fc', 'angle_p_fc', 'angle_y_fc']"/>
			<output_dir value="DIR"/>
			<placeholder_data_types value="{}"/>
			<placeholder_shapes value="{'data': array([ 1,  3, 60, 60])}"/>
			<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="data[255.0]"/>
			<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': 'AccuracyAwareQuantization',
					'params': {
						'drop_type': 'relative',
						'max_iter_num': 20,
						'maximal_drop': 0.01,
						'metric_subset_ratio': 0.2,
						'preset': 'performance',
						'stat_subset_size': 300,
						'tune_hyperparams': true
					}
				}
			],
			'dump_intermediate_model': true,
			'target_device': 'CPU'
		},
		'engine': {
			'models': [
				{
					'name': 'head-pose-estimation-adas-0001',
					'launchers': [
						{
							'framework': 'dlsdk',
							'adapter': {
								'type': 'head_pose',
								'angle_yaw': 'angle_y_fc',
								'angle_pitch': 'angle_p_fc',
								'angle_roll': 'angle_r_fc'
							},
							'device': 'CPU'
						}
					],
					'datasets': [
						{
							'name': 'head_pose',
							'data_source': 'PATH',
							'annotation_conversion': {
								'converter': 'head_pose',
								'annotation_file': 'PATH'
							},
							'annotation': 'bkhd.pickle',
							'preprocessing': [
								{
									'type': 'resize',
									'size': 60
								}
							],
							'metrics': [
								{
									'name': 'yaw_mae',
									'type': 'mae',
									'presenter': 'print_vector',
									'annotation_source': 'yaw',
									'prediction_source': 'angle_yaw'
								},
								{
									'name': 'pitch_mae',
									'type': 'mae',
									'presenter': 'print_vector',
									'annotation_source': 'pitch',
									'prediction_source': 'angle_pitch'
								},
								{
									'name': 'roll_mae',
									'type': 'mae',
									'presenter': 'print_vector',
									'annotation_source': 'roll',
									'prediction_source': 'angle_roll'
								}
							]
						}
					]
				}
			],
			'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>
