87 lines
3.5 KiB
C++
87 lines
3.5 KiB
C++
// Copyright (C) 2018-2020 Intel Corporation
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// SPDX-License-Identifier: Apache-2.0
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//
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#pragma once
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#include <string>
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#include <vector>
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#include <gflags/gflags.h>
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#include <iostream>
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/// @brief message for help argument
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static const char help_message[] = "Print a usage message.";
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/// @brief message for images argument
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static const char image_message[] = "Required. Path to an .bmp image.";
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/// @brief message for model argument
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static const char model_message[] = "Required. Path to an .xml file with a trained model.";\
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/// @brief message for plugin argument
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static const char plugin_message[] = "Plugin name. For example MKLDNNPlugin. If this parameter is pointed, " \
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"the sample will look for this plugin only";
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/// @brief message for assigning cnn calculation to device
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static const char target_device_message[] = "Optional. Specify the target device to infer on (the list of available devices is shown below). " \
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"Default value is CPU. Use \"-d HETERO:<comma-separated_devices_list>\" format to specify HETERO plugin. " \
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"Sample will look for a suitable plugin for device specified";
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/// @brief message for user library argument
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static const char custom_cpu_library_message[] = "Optional. Required for CPU custom layers." \
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"Absolute path to a shared library with the kernels implementations.";
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/// @brief message for clDNN custom kernels desc
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static const char custom_cldnn_message[] = "Optional. Required for GPU custom kernels."\
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"Absolute path to the xml file with the kernels descriptions.";
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/// @brief message for mean values arguments
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static const char preprocess_data_message[] = "Mean values. Required if the model needs mean values for preprocessing and postprocessing";
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/// @brief Define flag for showing help message <br>
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DEFINE_bool(h, false, help_message);
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/// @brief Define parameter for set image file <br>
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/// It is a required parameter
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DEFINE_string(i, "", image_message);
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/// @brief Define parameter for set model file <br>
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/// It is a required parameter
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DEFINE_string(m, "", model_message);
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/// @brief device the target device to infer on <br>
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DEFINE_string(d, "CPU", target_device_message);
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/// @brief Absolute path to CPU library with user layers <br>
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/// It is a required parameter
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DEFINE_string(l, "", custom_cpu_library_message);
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/// @brief Define parameter for clDNN custom kernels path <br>
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/// Default is ./lib
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DEFINE_string(c, "", custom_cldnn_message);
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/// @brief Define parameter preprocess_data for rgb channels <br>
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/// (default 0) for each channels
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DEFINE_double(mean_val_r, 0.0, preprocess_data_message);
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DEFINE_double(mean_val_g, 0.0, preprocess_data_message);
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DEFINE_double(mean_val_b, 0.0, preprocess_data_message);
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/**
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* @brief This function show a help message
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*/
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static void showUsage() {
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std::cout << std::endl;
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std::cout << "style_transfer_sample [OPTION]" << std::endl;
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std::cout << "Options:" << std::endl;
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std::cout << std::endl;
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std::cout << " -h " << help_message << std::endl;
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std::cout << " -i \"<path>\" " << image_message << std::endl;
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std::cout << " -m \"<path>\" " << model_message << std::endl;
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std::cout << " -d \"<device>\" " << target_device_message << std::endl;
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std::cout << " -mean_val_r," << std::endl;
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std::cout << " -mean_val_g," << std::endl;
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std::cout << " -mean_val_b " << preprocess_data_message << std::endl;
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}
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