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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "../InferenceTestImage.hpp"
#include <boost/filesystem.hpp>
#include <boost/filesystem/operations.hpp>
#include <boost/filesystem/path.hpp>
#include <boost/log/trivial.hpp>
#include <boost/program_options.hpp>
#include <algorithm>
#include <fstream>
#include <iostream>
#include <string>
namespace
{
// parses the command line to extract
// * the input image file -i the input image file path (must exist)
// * the layout -l the data layout output generated with (optional - default value is NHWC)
// * the output file -o the output raw tensor file path (must not already exist)
class CommandLineProcessor
{
public:
bool ValidateInputFile(const std::string& inputFileName)
{
if (inputFileName.empty())
{
std::cerr << "No input file name specified" << std::endl;
return false;
}
if (!boost::filesystem::exists(inputFileName))
{
std::cerr << "Input file [" << inputFileName << "] does not exist" << std::endl;
return false;
}
if (boost::filesystem::is_directory(inputFileName))
{
std::cerr << "Input file [" << inputFileName << "] is a directory" << std::endl;
return false;
}
return true;
}
bool ValidateLayout(const std::string& layout)
{
if (layout.empty())
{
std::cerr << "No layout specified" << std::endl;
return false;
}
std::vector<std::string> supportedLayouts = {
"NHWC",
"NCHW"
};
auto iterator = std::find(supportedLayouts.begin(), supportedLayouts.end(), layout);
if (iterator == supportedLayouts.end())
{
std::cerr << "Layout [" << layout << "] is not supported" << std::endl;
return false;
}
return true;
}
bool ValidateOutputFile(std::string& outputFileName)
{
if (outputFileName.empty())
{
std::cerr << "No output file name specified" << std::endl;
return false;
}
if (boost::filesystem::exists(outputFileName))
{
std::cerr << "Output file [" << outputFileName << "] already exists" << std::endl;
return false;
}
if (boost::filesystem::is_directory(outputFileName))
{
std::cerr << "Output file [" << outputFileName << "] is a directory" << std::endl;
return false;
}
boost::filesystem::path outputPath(outputFileName);
if (!boost::filesystem::exists(outputPath.parent_path()))
{
std::cerr << "Output directory [" << outputPath.parent_path().c_str() << "] does not exist" << std::endl;
return false;
}
return true;
}
bool ProcessCommandLine(int argc, char* argv[])
{
namespace po = boost::program_options;
po::options_description desc("Options");
try
{
desc.add_options()
("help,h", "Display help messages")
("infile,i", po::value<std::string>(&m_InputFileName)->required(),
"Input image file to generate tensor from")
("layout,l", po::value<std::string>(&m_Layout)->default_value("NHWC"),
"Output data layout, \"NHWC\" or \"NCHW\", default value NHWC")
("outfile,o", po::value<std::string>(&m_OutputFileName)->required(),
"Output raw tensor file path");
}
catch (const std::exception& e)
{
std::cerr << "Fatal internal error: [" << e.what() << "]" << std::endl;
return false;
}
po::variables_map vm;
try
{
po::store(po::parse_command_line(argc, argv, desc), vm);
if (vm.count("help"))
{
std::cout << desc << std::endl;
return false;
}
po::notify(vm);
}
catch (const po::error& e)
{
std::cerr << e.what() << std::endl << std::endl;
std::cerr << desc << std::endl;
return false;
}
if (!ValidateInputFile(m_InputFileName))
{
return false;
}
if (!ValidateLayout(m_Layout))
{
return false;
}
if (!ValidateOutputFile(m_OutputFileName))
{
return false;
}
return true;
}
std::string GetInputFileName() {return m_InputFileName;}
std::string GetLayout() {return m_Layout;}
std::string GetOutputFileName() {return m_OutputFileName;}
private:
std::string m_InputFileName;
std::string m_Layout;
std::string m_OutputFileName;
};
} // namespace anonymous
int main(int argc, char* argv[])
{
CommandLineProcessor cmdline;
if (!cmdline.ProcessCommandLine(argc, argv))
{
return -1;
}
const std::string imagePath(cmdline.GetInputFileName());
const std::string outputPath(cmdline.GetOutputFileName());
// generate image tensor
std::vector<float> imageData;
try
{
InferenceTestImage testImage(imagePath.c_str());
imageData = cmdline.GetLayout() == "NHWC"
? GetImageDataAsNormalizedFloats(ImageChannelLayout::Rgb, testImage)
: GetImageDataInArmNnLayoutAsNormalizedFloats(ImageChannelLayout::Rgb, testImage);
}
catch (const InferenceTestImageException& e)
{
BOOST_LOG_TRIVIAL(fatal) << "Failed to load image file " << imagePath << " with error: " << e.what();
return -1;
}
std::ofstream imageTensorFile;
imageTensorFile.open(outputPath, std::ofstream::out);
if (imageTensorFile.is_open())
{
std::copy(imageData.begin(), imageData.end(), std::ostream_iterator<float>(imageTensorFile, " "));
if (!imageTensorFile)
{
BOOST_LOG_TRIVIAL(fatal) << "Failed to write to output file" << outputPath;
imageTensorFile.close();
return -1;
}
imageTensorFile.close();
}
else
{
BOOST_LOG_TRIVIAL(fatal) << "Failed to open output file" << outputPath;
return -1;
}
return 0;
}
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