1 files changed, 47 insertions, 0 deletions
diff --git a/tests/CaffePreprocessor.cpp b/tests/CaffePreprocessor.cpp
new file mode 100644
index 0000000000..226e57ab17
--- /dev/null
+++ b/tests/CaffePreprocessor.cpp
@@ -0,0 +1,47 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// See LICENSE file in the project root for full license information.
+//
+#include "InferenceTestImage.hpp"
+#include "CaffePreprocessor.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}
+};
+
+CaffePreprocessor::CaffePreprocessor(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<CaffePreprocessor::TTestCaseData> CaffePreprocessor::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;
+
+    InferenceTestImage image(fullPath.c_str());
+    image.Resize(m_Width, m_Height, CHECK_LOCATION());
+
+    // 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));
+}