IVGCVSW-2899 Create a tool to preprocess the images, generating the RAW tensor data from the image files

 * ImageTensorGenerator tool generates .raw file contains tensor of the image
 * ImageCSVFileGenerator tool generates .csv file contains list of .raw files

Change-Id: Ic7e148857b9f885044bd69da1077b60104cd6509
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>

1 files changed, 224 insertions, 0 deletions

diff --git a/tests/ImageTensorGenerator/ImageTensorGenerator.cpp b/tests/ImageTensorGenerator/ImageTensorGenerator.cpp
new file mode 100644
index 0000000000..1f537745b4
--- /dev/null
+++ b/tests/ImageTensorGenerator/ImageTensorGenerator.cpp
@@ -0,0 +1,224 @@
+//
+// 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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