57 lines
1.9 KiB
C++
57 lines
1.9 KiB
C++
// Copyright (C) 2018-2022 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 <iostream>
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#include <string>
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#include <vector>
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#include "gflags/gflags.h"
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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 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 images argument
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static const char image_message[] =
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"Required. Path to a folder with images or path to an image files: a .ubyte file for LeNet"
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" and a .bmp file for the other networks.";
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/// @brief message for assigning cnn calculation to device
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static const char target_device_message[] =
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"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 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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/// It is an optional parameter
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DEFINE_string(d, "CPU", target_device_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 show_usage() {
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std::cout << std::endl;
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std::cout << "classification_sample_async [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 << " -m \"<path>\" " << model_message << std::endl;
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std::cout << " -d \"<device>\" " << target_device_message << std::endl;
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}
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