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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include "ClassifierTestCaseData.hpp"
#include <array>
#include <string>
#include <vector>
#include <memory>
///Tf requires RGB images, normalized in range [0, 1] and resized using Bilinear algorithm
using ImageSet = std::pair<const std::string, unsigned int>;
template <typename TDataType>
class ImagePreprocessor
{
public:
using DataType = TDataType;
using TTestCaseData = ClassifierTestCaseData<DataType>;
enum DataFormat
{
NHWC,
NCHW
};
explicit ImagePreprocessor(const std::string& binaryFileDirectory,
unsigned int width,
unsigned int height,
const std::vector<ImageSet>& imageSet,
float scale=1.0,
int32_t offset=0,
const std::array<float, 3> mean={{0, 0, 0}},
const std::array<float, 3> stddev={{1, 1, 1}},
DataFormat dataFormat=DataFormat::NHWC)
: m_BinaryDirectory(binaryFileDirectory)
, m_Height(height)
, m_Width(width)
, m_Scale(scale)
, m_Offset(offset)
, m_ImageSet(imageSet)
, m_Mean(mean)
, m_Stddev(stddev)
, m_DataFormat(dataFormat)
{
}
std::unique_ptr<TTestCaseData> GetTestCaseData(unsigned int testCaseId);
private:
unsigned int GetNumImageElements() const { return 3 * m_Width * m_Height; }
unsigned int GetNumImageBytes() const { return sizeof(DataType) * GetNumImageElements(); }
unsigned int GetLabelAndResizedImageAsFloat(unsigned int testCaseId,
std::vector<float> & result);
std::string m_BinaryDirectory;
unsigned int m_Height;
unsigned int m_Width;
// Quantization parameters
float m_Scale;
int32_t m_Offset;
const std::vector<ImageSet> m_ImageSet;
const std::array<float, 3> m_Mean;
const std::array<float, 3> m_Stddev;
DataFormat m_DataFormat;
};
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