InferenceTestImage.cpp File Reference

#include "InferenceTestImage.hpp"
#include <armnn/utility/Assert.hpp>
#include <armnn/utility/IgnoreUnused.hpp>
#include <boost/format.hpp>
#include <boost/numeric/conversion/cast.hpp>
#include <array>
#include <stb/stb_image.h>
#include <stb/stb_image_resize.h>
#include <stb/stb_image_write.h>

Go to the source code of this file.

Macros
#define	STB_IMAGE_IMPLEMENTATION
#define	STB_IMAGE_RESIZE_IMPLEMENTATION
#define	STB_IMAGE_WRITE_IMPLEMENTATION

Functions
template<typename TProcessValueCallable >
std::vector< float >	GetImageDataInArmNnLayoutAsFloats (ImageChannelLayout channelLayout, const InferenceTestImage &image, TProcessValueCallable processValue)
std::vector< float >	GetImageDataInArmNnLayoutAsNormalizedFloats (ImageChannelLayout layout, const InferenceTestImage &image)
std::vector< float >	GetImageDataInArmNnLayoutAsFloatsSubtractingMean (ImageChannelLayout layout, const InferenceTestImage &image, const std::array< float, 3 > &mean)
std::vector< float >	GetImageDataAsNormalizedFloats (ImageChannelLayout layout, const InferenceTestImage &image)

Macro Definition Documentation

STB_IMAGE_IMPLEMENTATION

#define STB_IMAGE_IMPLEMENTATION

Definition at line 15 of file InferenceTestImage.cpp.

STB_IMAGE_RESIZE_IMPLEMENTATION

#define STB_IMAGE_RESIZE_IMPLEMENTATION

Definition at line 18 of file InferenceTestImage.cpp.

STB_IMAGE_WRITE_IMPLEMENTATION

#define STB_IMAGE_WRITE_IMPLEMENTATION

Definition at line 21 of file InferenceTestImage.cpp.

Function Documentation

GetImageDataAsNormalizedFloats()

std::vector<float> GetImageDataAsNormalizedFloats	(	ImageChannelLayout	layout,
		const InferenceTestImage &	image
	)

Definition at line 335 of file InferenceTestImage.cpp.

References B, G, InferenceTestImage::GetHeight(), InferenceTestImage::GetPixelAs3Channels(), InferenceTestImage::GetWidth(), and R.

{
    std::vector<float> imageData;
    const unsigned int h = image.GetHeight();
    const unsigned int w = image.GetWidth();

    const unsigned int rDstIndex = GetImageChannelIndex(layout, ImageChannel::R);
    const unsigned int gDstIndex = GetImageChannelIndex(layout, ImageChannel::G);
    const unsigned int bDstIndex = GetImageChannelIndex(layout, ImageChannel::B);

    imageData.resize(h * w * 3);
    unsigned int offset = 0;

    for (unsigned int j = 0; j < h; ++j)
    {
        for (unsigned int i = 0; i < w; ++i)
        {
            uint8_t r, g, b;
            std::tie(r, g, b) = image.GetPixelAs3Channels(i, j);

            imageData[offset+rDstIndex] = float(r) / 255.0f;
            imageData[offset+gDstIndex] = float(g) / 255.0f;
            imageData[offset+bDstIndex] = float(b) / 255.0f;
            offset += 3;
        }
    }

    return imageData;
}

GetImageDataInArmNnLayoutAsFloats()

std::vector<float> GetImageDataInArmNnLayoutAsFloats	(	ImageChannelLayout	channelLayout,
		const InferenceTestImage &	image,
		TProcessValueCallable	processValue
	)

Definition at line 281 of file InferenceTestImage.cpp.

References B, G, InferenceTestImage::GetHeight(), InferenceTestImage::GetPixelAs3Channels(), InferenceTestImage::GetWidth(), and R.

Referenced by GetImageDataInArmNnLayoutAsFloatsSubtractingMean(), and GetImageDataInArmNnLayoutAsNormalizedFloats().

{
    const unsigned int h = image.GetHeight();
    const unsigned int w = image.GetWidth();

    std::vector<float> imageData;
    imageData.resize(h * w * 3);

    for (unsigned int j = 0; j < h; ++j)
    {
        for (unsigned int i = 0; i < w; ++i)
        {
            uint8_t r, g, b;
            std::tie(r, g, b) = image.GetPixelAs3Channels(i, j);

            // ArmNN order: C, H, W
            const unsigned int rDstIndex = GetImageChannelIndex(channelLayout, ImageChannel::R) * h * w + j * w + i;
            const unsigned int gDstIndex = GetImageChannelIndex(channelLayout, ImageChannel::G) * h * w + j * w + i;
            const unsigned int bDstIndex = GetImageChannelIndex(channelLayout, ImageChannel::B) * h * w + j * w + i;

            imageData[rDstIndex] = processValue(ImageChannel::R, float(r));
            imageData[gDstIndex] = processValue(ImageChannel::G, float(g));
            imageData[bDstIndex] = processValue(ImageChannel::B, float(b));
        }
    }

    return imageData;
}

GetImageDataInArmNnLayoutAsFloatsSubtractingMean()

std::vector<float> GetImageDataInArmNnLayoutAsFloatsSubtractingMean	(	ImageChannelLayout	layout,
		const InferenceTestImage &	image,
		const std::array< float, 3 > &	mean
	)

Definition at line 323 of file InferenceTestImage.cpp.

References GetImageDataInArmNnLayoutAsFloats().

Referenced by CaffePreprocessor::GetTestCaseData().

{
    return GetImageDataInArmNnLayoutAsFloats(layout, image,
        [layout, &mean](ImageChannel channel, float value)
        {
            const unsigned int channelIndex = GetImageChannelIndex(layout, channel);
            return value - mean[channelIndex];
        });
}

GetImageDataInArmNnLayoutAsNormalizedFloats()

std::vector<float> GetImageDataInArmNnLayoutAsNormalizedFloats	(	ImageChannelLayout	layout,
		const InferenceTestImage &	image
	)

Definition at line 312 of file InferenceTestImage.cpp.

References GetImageDataInArmNnLayoutAsFloats(), and armnn::IgnoreUnused().

Referenced by YoloDatabase::GetTestCaseData().

{
    return GetImageDataInArmNnLayoutAsFloats(layout, image,
        [](ImageChannel channel, float value)
        {
            armnn::IgnoreUnused(channel);
            return value / 255.f;
        });
}