41 lines
1.2 KiB
C++
41 lines
1.2 KiB
C++
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//
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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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#pragma once
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#include "ClassifierTestCaseData.hpp"
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#include <array>
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#include <string>
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#include <vector>
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#include <memory>
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/// Caffe requires BGR images, not normalized, mean adjusted and resized using smooth resize of STB library
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using ImageSet = std::pair<const std::string, unsigned int>;
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class CaffePreprocessor
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{
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public:
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using DataType = float;
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using TTestCaseData = ClassifierTestCaseData<DataType>;
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explicit CaffePreprocessor(const std::string& binaryFileDirectory,
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unsigned int width = 227,
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unsigned int height = 227,
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const std::vector<ImageSet>& imageSet = std::vector<ImageSet>());
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std::unique_ptr<TTestCaseData> GetTestCaseData(unsigned int testCaseId);
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private:
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unsigned int GetNumImageElements() const { return 3 * m_Width * m_Height; }
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unsigned int GetNumImageBytes() const { return 4 * GetNumImageElements(); }
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std::string m_BinaryDirectory;
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unsigned int m_Height;
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unsigned int m_Width;
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// Mean value of the database [B, G, R].
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const std::array<float, 3> m_MeanBgr = {{104.007965f, 116.669472f, 122.675102f}};
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const std::vector<ImageSet> m_ImageSet;
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};
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