visiongraph / EfficientPoseII_LITE-fp16.xml
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<?xml version="1.0" ?>
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<enable_flattening_nested_params value="False"/>
<enable_ssd_gluoncv value="False"/>
<extensions value="DIR"/>
<framework value="tf"/>
<freeze_placeholder_with_value value="{}"/>
<input value="input_1_0"/>
<input_model value="DIR\EfficientPoseII_LITE.pb"/>
<input_model_is_text value="False"/>
<input_shape value="[1, 256, 256, 3]"/>
<k value="DIR\CustomLayersMapping.xml"/>
<layout value="()"/>
<layout_values value="{}"/>
<legacy_mxnet_model value="False"/>
<log_level value="ERROR"/>
<mean_scale_values value="{'input_1_0': {'mean': array([127., 127., 127.]), 'scale': array([128., 128., 128.])}}"/>
<mean_values value="input_1_0[127.0, 127.0, 127.0]"/>
<model_name value="EfficientPoseII_LITE-fp16"/>
<output value="['upscaled_confs/BiasAdd']"/>
<output_dir value="DIR"/>
<packed_user_shapes value="defaultdict(&lt;class 'list'&gt;, {'input_1_0': [{'shape': (1, 256, 256, 3), 'port': None, 'added': True}]})"/>
<placeholder_data_types value="{}"/>
<placeholder_shapes value="{'input_1_0': (1, 256, 256, 3)}"/>
<progress value="True"/>
<remove_memory value="False"/>
<remove_output_softmax value="False"/>
<reverse_input_channels value="False"/>
<save_params_from_nd value="False"/>
<scale_values value="input_1_0[128.0, 128.0, 128.0]"/>
<silent value="False"/>
<source_layout value="()"/>
<static_shape value="False"/>
<stream_output value="False"/>
<target_layout value="()"/>
<transform value=""/>
<use_legacy_frontend value="False"/>
<use_new_frontend value="False"/>
<unset unset_cli_parameters="batch, counts, disable_fusing, finegrain_fusing, input_checkpoint, input_meta_graph, input_proto, input_symbol, mean_file, mean_file_offsets, 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>
</net>