1 files changed, 0 insertions, 44 deletions
diff --git a/tests/CaffePreprocessor.cpp b/tests/CaffePreprocessor.cpp
deleted file mode 100644
index 54ce833b72..0000000000
--- a/tests/CaffePreprocessor.cpp
+++ /dev/null
@@ -1,44 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-#include "InferenceTestImage.hpp"
-#include "CaffePreprocessor.hpp"
-
-#include <armnn/utility/NumericCast.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 % armnn::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));
-}