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/*
// Copyright (c) 2018 Intel Corporation
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
*/
#pragma once
#include <string>
#include <vector>
#include <gflags/gflags.h>
#include <iostream>
#ifdef _WIN32
#include <os/windows/w_dirent.h>
#else
#include <dirent.h>
#endif
/// @brief message for help argument
static const char help_message[] = "Print a usage message.";
/// @brief message for images argument
static const char image_message[] = "Required. Path to a folder with images or path to an image files: a .ubyte file for LeNet"\
"and a .bmp file for the other networks.";
/// @brief message for plugin_path argument
static const char plugin_path_message[] = "Path to a plugin folder.";
/// @brief message for model argument
static const char model_message[] = "Required. Path to an .xml file with a trained model.";
/// @brief message for assigning cnn calculation to device
static const char target_device_message[] = "Specify the target device to infer on; CPU, GPU, FPGA or MYRIAD is acceptable. " \
"Sample will look for a suitable plugin for device specified (CPU by default)";
/// @brief message for performance counters
static const char performance_counter_message[] = "Enables per-layer performance report";
/// @brief message for top results number
static const char ntop_message[] = "Number of top results (default 10)";
/// @brief message for iterations count
static const char iterations_count_message[] = "Number of iterations (default 1)";
/// @brief message for iterations count
static const char ninfer_request_message[] = "Number of infer request for pipelined mode (default 1)";
/// @brief message for clDNN custom kernels desc
static const char custom_cldnn_message[] = "Required for clDNN (GPU)-targeted custom kernels."\
"Absolute path to the xml file with the kernels desc.";
/// @brief message for user library argument
static const char custom_cpu_library_message[] = "Required for MKLDNN (CPU)-targeted custom layers." \
"Absolute path to a shared library with the kernels impl.";
/// @brief Define flag for showing help message <br>
DEFINE_bool(h, false, help_message);
/// @brief Define parameter for set image file <br>
/// It is a required parameter
DEFINE_string(i, "", image_message);
/// @brief Define parameter for set model file <br>
/// It is a required parameter
DEFINE_string(m, "", model_message);
/// @brief Define parameter for set path to plugins <br>
DEFINE_string(pp, "", plugin_path_message);
/// @brief device the target device to infer on <br>
DEFINE_string(d, "CPU", target_device_message);
/// @brief Top results number (default 10) <br>
DEFINE_int32(nt, 10, ntop_message);
/// @brief Enable per-layer performance report
DEFINE_bool(pc, false, performance_counter_message);
/// @brief Define parameter for clDNN custom kernels path <br>
/// Default is ./lib
DEFINE_string(c, "", custom_cldnn_message);
/// @brief Absolute path to CPU library with user layers <br>
/// It is a optional parameter
DEFINE_string(l, "", custom_cpu_library_message);
/// @brief Iterations count (default 1)
DEFINE_int32(ni, 1, iterations_count_message);
/// @brief Number of infer requests
DEFINE_int32(nireq, 1, ninfer_request_message);
/**
* @brief This function show a help message
*/
static void showUsage() {
std::cout << std::endl;
std::cout << "classification_sample_async [OPTION]" << std::endl;
std::cout << "Options:" << std::endl;
std::cout << std::endl;
std::cout << " -h " << help_message << std::endl;
std::cout << " -i \"<path>\" " << image_message << std::endl;
std::cout << " -m \"<path>\" " << model_message << std::endl;
std::cout << " -l \"<absolute_path>\" " << custom_cpu_library_message << std::endl;
std::cout << " Or" << std::endl;
std::cout << " -c \"<absolute_path>\" " << custom_cldnn_message << std::endl;
std::cout << " -pp \"<path>\" " << plugin_path_message << std::endl;
std::cout << " -d \"<device>\" " << target_device_message << std::endl;
std::cout << " -nt \"<integer>\" " << ntop_message << std::endl;
std::cout << " -ni \"<integer>\" " << iterations_count_message << std::endl;
std::cout << " -pc " << performance_counter_message << std::endl;
std::cout << " -nireq \"<integer>\" " << ninfer_request_message << std::endl;
}
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