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45 lines
1.5 KiB
45 lines
1.5 KiB
//
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// Copyright © 2017 Arm Ltd. All rights reserved.
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// SPDX-License-Identifier: MIT
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//
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#include "InferenceTestImage.hpp"
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#include "CaffePreprocessor.hpp"
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#include <armnn/utility/NumericCast.hpp>
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#include <iostream>
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#include <fcntl.h>
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#include <array>
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const std::vector<ImageSet> g_DefaultImageSet =
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{
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{"shark.jpg", 2}
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};
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CaffePreprocessor::CaffePreprocessor(const std::string& binaryFileDirectory, unsigned int width, unsigned int height,
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const std::vector<ImageSet>& imageSet)
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: m_BinaryDirectory(binaryFileDirectory)
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, m_Height(height)
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, m_Width(width)
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, m_ImageSet(imageSet.empty() ? g_DefaultImageSet : imageSet)
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{
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}
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std::unique_ptr<CaffePreprocessor::TTestCaseData> CaffePreprocessor::GetTestCaseData(unsigned int testCaseId)
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{
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testCaseId = testCaseId % armnn::numeric_cast<unsigned int>(m_ImageSet.size());
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const ImageSet& imageSet = m_ImageSet[testCaseId];
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const std::string fullPath = m_BinaryDirectory + imageSet.first;
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InferenceTestImage image(fullPath.c_str());
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image.Resize(m_Width, m_Height, CHECK_LOCATION());
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// The model expects image data in BGR format.
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std::vector<float> inputImageData = GetImageDataInArmNnLayoutAsFloatsSubtractingMean(ImageChannelLayout::Bgr,
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image, m_MeanBgr);
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// List of labels: https://gist.github.com/yrevar/942d3a0ac09ec9e5eb3a
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const unsigned int label = imageSet.second;
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return std::make_unique<TTestCaseData>(label, std::move(inputImageData));
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}
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