/*-------------------------------------------------------------------------
* drawElements Quality Program Tester Core
* ----------------------------------------
*
* Copyright 2014 The Android Open Source Project
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*//*!
* \file
* \brief Fuzzy image comparison.
*//*--------------------------------------------------------------------*/
#include "tcuFuzzyImageCompare.hpp"
#include "tcuTexture.hpp"
#include "tcuTextureUtil.hpp"
#include "deMath.h"
#include "deRandom.hpp"
#include <vector>
namespace tcu
{
enum
{
MIN_ERR_THRESHOLD = 4 // Magic to make small differences go away
};
using std::vector;
template<int Channel>
static inline deUint8 getChannel (deUint32 color)
{
return (deUint8)((color >> (Channel*8)) & 0xff);
}
static inline deUint8 getChannel (deUint32 color, int channel)
{
return (deUint8)((color >> (channel*8)) & 0xff);
}
static inline deUint32 setChannel (deUint32 color, int channel, deUint8 val)
{
return (color & ~(0xffu << (8*channel))) | (val << (8*channel));
}
static inline Vec4 toFloatVec (deUint32 color)
{
return Vec4((float)getChannel<0>(color), (float)getChannel<1>(color), (float)getChannel<2>(color), (float)getChannel<3>(color));
}
static inline deUint8 roundToUint8Sat (float v)
{
return (deUint8)de::clamp((int)(v + 0.5f), 0, 255);
}
static inline deUint32 toColor (Vec4 v)
{
return roundToUint8Sat(v[0]) | (roundToUint8Sat(v[1]) << 8) | (roundToUint8Sat(v[2]) << 16) | (roundToUint8Sat(v[3]) << 24);
}
template<int NumChannels>
static inline deUint32 readUnorm8 (const tcu::ConstPixelBufferAccess& src, int x, int y)
{
const deUint8* ptr = (const deUint8*)src.getDataPtr() + src.getRowPitch()*y + x*NumChannels;
deUint32 v = 0;
for (int c = 0; c < NumChannels; c++)
v |= ptr[c] << (c*8);
if (NumChannels < 4)
v |= 0xffu << 24;
return v;
}
#if (DE_ENDIANNESS == DE_LITTLE_ENDIAN)
template<>
inline deUint32 readUnorm8<4> (const tcu::ConstPixelBufferAccess& src, int x, int y)
{
return *(const deUint32*)((const deUint8*)src.getDataPtr() + src.getRowPitch()*y + x*4);
}
#endif
template<int NumChannels>
static inline void writeUnorm8 (const tcu::PixelBufferAccess& dst, int x, int y, deUint32 val)
{
deUint8* ptr = (deUint8*)dst.getDataPtr() + dst.getRowPitch()*y + x*NumChannels;
for (int c = 0; c < NumChannels; c++)
ptr[c] = getChannel(val, c);
}
#if (DE_ENDIANNESS == DE_LITTLE_ENDIAN)
template<>
inline void writeUnorm8<4> (const tcu::PixelBufferAccess& dst, int x, int y, deUint32 val)
{
*(deUint32*)((deUint8*)dst.getDataPtr() + dst.getRowPitch()*y + x*4) = val;
}
#endif
static inline deUint32 colorDistSquared (deUint32 pa, deUint32 pb)
{
const int r = de::max<int>(de::abs((int)getChannel<0>(pa) - (int)getChannel<0>(pb)) - MIN_ERR_THRESHOLD, 0);
const int g = de::max<int>(de::abs((int)getChannel<1>(pa) - (int)getChannel<1>(pb)) - MIN_ERR_THRESHOLD, 0);
const int b = de::max<int>(de::abs((int)getChannel<2>(pa) - (int)getChannel<2>(pb)) - MIN_ERR_THRESHOLD, 0);
const int a = de::max<int>(de::abs((int)getChannel<3>(pa) - (int)getChannel<3>(pb)) - MIN_ERR_THRESHOLD, 0);
return deUint32(r*r + g*g + b*b + a*a);
}
template<int NumChannels>
inline deUint32 bilinearSample (const ConstPixelBufferAccess& src, float u, float v)
{
int w = src.getWidth();
int h = src.getHeight();
int x0 = deFloorFloatToInt32(u-0.5f);
int x1 = x0+1;
int y0 = deFloorFloatToInt32(v-0.5f);
int y1 = y0+1;
int i0 = de::clamp(x0, 0, w-1);
int i1 = de::clamp(x1, 0, w-1);
int j0 = de::clamp(y0, 0, h-1);
int j1 = de::clamp(y1, 0, h-1);
float a = deFloatFrac(u-0.5f);
float b = deFloatFrac(v-0.5f);
deUint32 p00 = readUnorm8<NumChannels>(src, i0, j0);
deUint32 p10 = readUnorm8<NumChannels>(src, i1, j0);
deUint32 p01 = readUnorm8<NumChannels>(src, i0, j1);
deUint32 p11 = readUnorm8<NumChannels>(src, i1, j1);
deUint32 dst = 0;
// Interpolate.
for (int c = 0; c < NumChannels; c++)
{
float f = (getChannel(p00, c)*(1.0f-a)*(1.0f-b)) +
(getChannel(p10, c)*( a)*(1.0f-b)) +
(getChannel(p01, c)*(1.0f-a)*( b)) +
(getChannel(p11, c)*( a)*( b));
dst = setChannel(dst, c, roundToUint8Sat(f));
}
return dst;
}
template<int DstChannels, int SrcChannels>
static void separableConvolve (const PixelBufferAccess& dst, const ConstPixelBufferAccess& src, int shiftX, int shiftY, const std::vector<float>& kernelX, const std::vector<float>& kernelY)
{
DE_ASSERT(dst.getWidth() == src.getWidth() && dst.getHeight() == src.getHeight());
TextureLevel tmp (dst.getFormat(), dst.getHeight(), dst.getWidth());
PixelBufferAccess tmpAccess = tmp.getAccess();
int kw = (int)kernelX.size();
int kh = (int)kernelY.size();
// Horizontal pass
// \note Temporary surface is written in column-wise order
for (int j = 0; j < src.getHeight(); j++)
{
for (int i = 0; i < src.getWidth(); i++)
{
Vec4 sum(0);
for (int kx = 0; kx < kw; kx++)
{
float f = kernelX[kw-kx-1];
deUint32 p = readUnorm8<SrcChannels>(src, de::clamp(i+kx-shiftX, 0, src.getWidth()-1), j);
sum += toFloatVec(p)*f;
}
writeUnorm8<DstChannels>(tmpAccess, j, i, toColor(sum));
}
}
// Vertical pass
for (int j = 0; j < src.getHeight(); j++)
{
for (int i = 0; i < src.getWidth(); i++)
{
Vec4 sum(0.0f);
for (int ky = 0; ky < kh; ky++)
{
float f = kernelY[kh-ky-1];
deUint32 p = readUnorm8<DstChannels>(tmpAccess, de::clamp(j+ky-shiftY, 0, tmp.getWidth()-1), i);
sum += toFloatVec(p)*f;
}
writeUnorm8<DstChannels>(dst, i, j, toColor(sum));
}
}
}
template<int NumChannels>
static deUint32 distSquaredToNeighbor (de::Random& rnd, deUint32 pixel, const ConstPixelBufferAccess& surface, int x, int y)
{
// (x, y) + (0, 0)
deUint32 minDist = colorDistSquared(pixel, readUnorm8<NumChannels>(surface, x, y));
if (minDist == 0)
return minDist;
// Area around (x, y)
static const int s_coords[][2] =
{
{-1, -1},
{ 0, -1},
{+1, -1},
{-1, 0},
{+1, 0},
{-1, +1},
{ 0, +1},
{+1, +1}
};
for (int d = 0; d < (int)DE_LENGTH_OF_ARRAY(s_coords); d++)
{
int dx = x + s_coords[d][0];
int dy = y + s_coords[d][1];
if (!deInBounds32(dx, 0, surface.getWidth()) || !deInBounds32(dy, 0, surface.getHeight()))
continue;
minDist = de::min(minDist, colorDistSquared(pixel, readUnorm8<NumChannels>(surface, dx, dy)));
if (minDist == 0)
return minDist;
}
// Random bilinear-interpolated samples around (x, y)
for (int s = 0; s < 32; s++)
{
float dx = (float)x + rnd.getFloat()*2.0f - 0.5f;
float dy = (float)y + rnd.getFloat()*2.0f - 0.5f;
deUint32 sample = bilinearSample<NumChannels>(surface, dx, dy);
minDist = de::min(minDist, colorDistSquared(pixel, sample));
if (minDist == 0)
return minDist;
}
return minDist;
}
static inline float toGrayscale (const Vec4& c)
{
return 0.2126f*c[0] + 0.7152f*c[1] + 0.0722f*c[2];
}
static bool isFormatSupported (const TextureFormat& format)
{
return format.type == TextureFormat::UNORM_INT8 && (format.order == TextureFormat::RGB || format.order == TextureFormat::RGBA);
}
float fuzzyCompare (const FuzzyCompareParams& params, const ConstPixelBufferAccess& ref, const ConstPixelBufferAccess& cmp, const PixelBufferAccess& errorMask)
{
DE_ASSERT(ref.getWidth() == cmp.getWidth() && ref.getHeight() == cmp.getHeight());
DE_ASSERT(errorMask.getWidth() == ref.getWidth() && errorMask.getHeight() == ref.getHeight());
if (!isFormatSupported(ref.getFormat()) || !isFormatSupported(cmp.getFormat()))
throw InternalError("Unsupported format in fuzzy comparison", DE_NULL, __FILE__, __LINE__);
int width = ref.getWidth();
int height = ref.getHeight();
de::Random rnd (667);
// Filtered
TextureLevel refFiltered(TextureFormat(TextureFormat::RGBA, TextureFormat::UNORM_INT8), width, height);
TextureLevel cmpFiltered(TextureFormat(TextureFormat::RGBA, TextureFormat::UNORM_INT8), width, height);
// Kernel = {0.1, 0.8, 0.1}
vector<float> kernel(3);
kernel[0] = kernel[2] = 0.1f; kernel[1]= 0.8f;
int shift = (int)(kernel.size() - 1) / 2;
switch (ref.getFormat().order)
{
case TextureFormat::RGBA: separableConvolve<4, 4>(refFiltered, ref, shift, shift, kernel, kernel); break;
case TextureFormat::RGB: separableConvolve<4, 3>(refFiltered, ref, shift, shift, kernel, kernel); break;
default:
DE_ASSERT(DE_FALSE);
}
switch (cmp.getFormat().order)
{
case TextureFormat::RGBA: separableConvolve<4, 4>(cmpFiltered, cmp, shift, shift, kernel, kernel); break;
case TextureFormat::RGB: separableConvolve<4, 3>(cmpFiltered, cmp, shift, shift, kernel, kernel); break;
default:
DE_ASSERT(DE_FALSE);
}
int numSamples = 0;
deUint64 distSum4 = 0ull;
// Clear error mask to green.
clear(errorMask, Vec4(0.0f, 1.0f, 0.0f, 1.0f));
ConstPixelBufferAccess refAccess = refFiltered.getAccess();
ConstPixelBufferAccess cmpAccess = cmpFiltered.getAccess();
for (int y = 1; y < height-1; y++)
{
for (int x = 1; x < width-1; x += params.maxSampleSkip > 0 ? (int)rnd.getInt(0, params.maxSampleSkip) : 1)
{
const deUint32 minDist2RefToCmp = distSquaredToNeighbor<4>(rnd, readUnorm8<4>(refAccess, x, y), cmpAccess, x, y);
const deUint32 minDist2CmpToRef = distSquaredToNeighbor<4>(rnd, readUnorm8<4>(cmpAccess, x, y), refAccess, x, y);
const deUint32 minDist2 = de::min(minDist2RefToCmp, minDist2CmpToRef);
const deUint64 newSum4 = distSum4 + minDist2*minDist2;
distSum4 = (newSum4 >= distSum4) ? newSum4 : ~0ull; // In case of overflow
numSamples += 1;
// Build error image.
{
const int scale = 255-MIN_ERR_THRESHOLD;
const float err2 = float(minDist2) / float(scale*scale);
const float err4 = err2*err2;
const float red = err4 * 500.0f;
const float luma = toGrayscale(cmp.getPixel(x, y));
const float rF = 0.7f + 0.3f*luma;
errorMask.setPixel(Vec4(red*rF, (1.0f-red)*rF, 0.0f, 1.0f), x, y);
}
}
}
{
// Scale error sum based on number of samples taken
const double pSamples = double((width-2) * (height-2)) / double(numSamples);
const deUint64 colScale = deUint64(255-MIN_ERR_THRESHOLD);
const deUint64 colScale4 = colScale*colScale*colScale*colScale;
return float(double(distSum4) / double(colScale4) * pSamples);
}
}
} // tcu