Release 18.02
Change-Id: Id3c11dc5ee94ef664374a988fcc6901e9a232fa6
diff --git a/tests/ImageNetDatabase.cpp b/tests/ImageNetDatabase.cpp
new file mode 100644
index 0000000..0a235c9
--- /dev/null
+++ b/tests/ImageNetDatabase.cpp
@@ -0,0 +1,54 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// See LICENSE file in the project root for full license information.
+//
+#include "InferenceTestImage.hpp"
+#include "ImageNetDatabase.hpp"
+
+#include <boost/numeric/conversion/cast.hpp>
+#include <boost/log/trivial.hpp>
+#include <boost/assert.hpp>
+#include <boost/format.hpp>
+
+#include <iostream>
+#include <fcntl.h>
+#include <array>
+
+const std::vector<ImageSet> g_DefaultImageSet =
+{
+ {"shark.jpg", 2}
+};
+
+ImageNetDatabase::ImageNetDatabase(const std::string& binaryFileDirectory, unsigned int width, unsigned int height,
+ const std::vector<ImageSet>& imageSet)
+: m_BinaryDirectory(binaryFileDirectory)
+, m_Height(height)
+, m_Width(width)
+, m_ImageSet(imageSet.empty() ? g_DefaultImageSet : imageSet)
+{
+}
+
+std::unique_ptr<ImageNetDatabase::TTestCaseData> ImageNetDatabase::GetTestCaseData(unsigned int testCaseId)
+{
+ testCaseId = testCaseId % boost::numeric_cast<unsigned int>(m_ImageSet.size());
+ const ImageSet& imageSet = m_ImageSet[testCaseId];
+ const std::string fullPath = m_BinaryDirectory + imageSet.first;
+ FILE* file = fopen(fullPath.c_str(), "rb");
+
+ if (file == nullptr)
+ {
+ BOOST_LOG_TRIVIAL(fatal) << "Failed to load " << fullPath;
+ return nullptr;
+ }
+
+ InferenceTestImage image(fullPath.c_str());
+ image.Resize(m_Width, m_Height);
+
+ // The model expects image data in BGR format
+ std::vector<float> inputImageData = GetImageDataInArmNnLayoutAsFloatsSubtractingMean(ImageChannelLayout::Bgr,
+ image, m_MeanBgr);
+
+ // list of labels: https://gist.github.com/yrevar/942d3a0ac09ec9e5eb3a
+ const unsigned int label = imageSet.second;
+ return std::make_unique<TTestCaseData>(label, std::move(inputImageData));
+}