Big templatization. Fix for interpolation.
This commit is contained in:
110
colorchecker.h
110
colorchecker.h
@@ -14,36 +14,38 @@
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// Maximum LUT size that has each point adjacent to at least one ColorChecker color.
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typedef Lut3d<4, 3, 3> ColorCheckerLut3d;
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constexpr std::array<Color, 24> kColorCheckerSrgb = {{
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{{{0x7300, 0x5200, 0x4400}}},
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{{{0xc200, 0x9600, 0x8200}}},
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{{{0x6200, 0x7a00, 0x9d00}}},
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{{{0x5700, 0x6c00, 0x4300}}},
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{{{0x8500, 0x8000, 0xb100}}},
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{{{0x6700, 0xbd00, 0xaa00}}},
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{{{0xd600, 0x7e00, 0x2c00}}},
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{{{0x5000, 0x5b00, 0xa600}}},
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{{{0xc100, 0x5a00, 0x6300}}},
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{{{0x5e00, 0x3c00, 0x6c00}}},
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{{{0x9d00, 0xbc00, 0x4000}}},
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{{{0xe000, 0xa300, 0x2e00}}},
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{{{0x3800, 0x3d00, 0x9600}}},
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{{{0x4600, 0x9400, 0x4900}}},
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{{{0xaf00, 0x3600, 0x3c00}}},
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{{{0xe700, 0xc700, 0x1f00}}},
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{{{0xbb00, 0x5600, 0x9500}}},
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{{{0x0800, 0x8500, 0xa100}}},
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{{{0xf300, 0xf300, 0xf200}}},
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{{{0xc800, 0xc800, 0xc800}}},
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{{{0xa000, 0xa000, 0xa000}}},
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{{{0x7a00, 0x7a00, 0x7900}}},
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{{{0x5500, 0x5500, 0x5500}}},
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{{{0x3400, 0x3400, 0x3400}}},
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constexpr std::array<RgbColor, 24> kColorCheckerSrgb = {{
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{{{{0x7300, 0x5200, 0x4400}}}},
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{{{{0xc200, 0x9600, 0x8200}}}},
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{{{{0x6200, 0x7a00, 0x9d00}}}},
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{{{{0x5700, 0x6c00, 0x4300}}}},
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{{{{0x8500, 0x8000, 0xb100}}}},
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{{{{0x6700, 0xbd00, 0xaa00}}}},
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{{{{0xd600, 0x7e00, 0x2c00}}}},
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{{{{0x5000, 0x5b00, 0xa600}}}},
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{{{{0xc100, 0x5a00, 0x6300}}}},
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{{{{0x5e00, 0x3c00, 0x6c00}}}},
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{{{{0x9d00, 0xbc00, 0x4000}}}},
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{{{{0xe000, 0xa300, 0x2e00}}}},
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{{{{0x3800, 0x3d00, 0x9600}}}},
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{{{{0x4600, 0x9400, 0x4900}}}},
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{{{{0xaf00, 0x3600, 0x3c00}}}},
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{{{{0xe700, 0xc700, 0x1f00}}}},
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{{{{0xbb00, 0x5600, 0x9500}}}},
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{{{{0x0800, 0x8500, 0xa100}}}},
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{{{{0xf300, 0xf300, 0xf200}}}},
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{{{{0xc800, 0xc800, 0xc800}}}},
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{{{{0xa000, 0xa000, 0xa000}}}},
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{{{{0x7a00, 0x7a00, 0x7900}}}},
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{{{{0x5500, 0x5500, 0x5500}}}},
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{{{{0x3400, 0x3400, 0x3400}}}},
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}};
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template <uint32_t X, uint32_t Y>
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std::array<Coord, kColorCheckerSrgb.size()> FindClosest(const Image<X, Y>& image) {
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std::array<Coord, kColorCheckerSrgb.size()> closest;
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template <uint32_t X, uint32_t Y, uint32_t C>
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std::array<Coord<2>, kColorCheckerSrgb.size()> FindClosest(const Image<X, Y, C>& image) {
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static_assert(C == 3);
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std::array<Coord<2>, kColorCheckerSrgb.size()> closest;
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std::array<uint32_t, kColorCheckerSrgb.size()> diff;
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diff.fill(UINT32_MAX);
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@@ -57,7 +59,7 @@ std::array<Coord, kColorCheckerSrgb.size()> FindClosest(const Image<X, Y>& image
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auto pixel_diff = pixel.Difference(kColorCheckerSrgb.at(cc));
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if (pixel_diff < diff.at(cc)) {
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diff.at(cc) = pixel_diff;
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closest.at(cc) = {x, y};
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closest.at(cc) = {{{x, y}}};
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}
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}
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}
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@@ -66,8 +68,10 @@ std::array<Coord, kColorCheckerSrgb.size()> FindClosest(const Image<X, Y>& image
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return closest;
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}
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template <uint32_t X, uint32_t Y>
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uint32_t ScoreImage(const Image<X, Y>& image) {
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template <uint32_t X, uint32_t Y, uint32_t C>
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uint32_t ScoreImage(const Image<X, Y, C>& image) {
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static_assert(C == 3);
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std::array<uint32_t, kColorCheckerSrgb.size()> diff;
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diff.fill(UINT32_MAX);
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@@ -89,44 +93,48 @@ uint32_t ScoreImage(const Image<X, Y>& image) {
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return std::accumulate(diff.begin(), diff.end(), UINT32_C(0));
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}
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template <uint32_t X, uint32_t Y>
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std::unique_ptr<Image<X, Y>> HighlightClosest(const Image<X, Y>& image) {
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auto out = std::make_unique<Image<X, Y>>(image);
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template <uint32_t X, uint32_t Y, uint32_t C>
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std::unique_ptr<Image<X, Y, C>> HighlightClosest(const Image<X, Y, C>& image) {
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static_assert(C == 3);
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auto out = std::make_unique<Image<X, Y, C>>(image);
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auto closest = FindClosest(*out);
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for (uint32_t cc = 0; cc < kColorCheckerSrgb.size(); ++cc) {
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const auto& coord = closest.at(cc);
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const auto& color = kColorCheckerSrgb.at(cc);
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out->DrawSquare({std::max(5U, coord.x) - 5, std::max(5U, coord.y) - 5}, kBlack, 10);
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out->DrawSquare({std::max(6U, coord.x) - 6, std::max(6U, coord.y) - 6}, color, 12);
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out->DrawSquare({std::max(7U, coord.x) - 7, std::max(7U, coord.y) - 7}, color, 14);
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out->DrawSquare({std::max(8U, coord.x) - 8, std::max(8U, coord.y) - 8}, color, 16);
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out->DrawSquare({std::max(9U, coord.x) - 9, std::max(9U, coord.y) - 9}, kWhite, 18);
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out->DrawSquare({{{std::max(5U, coord.at(0)) - 5, std::max(5U, coord.at(1)) - 5}}}, kBlack, 10);
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out->DrawSquare({{{std::max(6U, coord.at(0)) - 6, std::max(6U, coord.at(1)) - 6}}}, color, 12);
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out->DrawSquare({{{std::max(7U, coord.at(0)) - 7, std::max(7U, coord.at(1)) - 7}}}, color, 14);
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out->DrawSquare({{{std::max(8U, coord.at(0)) - 8, std::max(8U, coord.at(1)) - 8}}}, color, 16);
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out->DrawSquare({{{std::max(9U, coord.at(0)) - 9, std::max(9U, coord.at(1)) - 9}}}, kWhite, 18);
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}
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return out;
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}
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template <uint32_t P, uint32_t R, uint32_t G, uint32_t B, uint32_t X, uint32_t Y>
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uint32_t OptimizeLut(const Image<X, Y>& image, Lut3d<R, G, B>* lut) {
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template <uint32_t P, uint32_t LUT_X, uint32_t LUT_Y, uint32_t LUT_Z, uint32_t IMG_X, uint32_t IMG_Y, uint32_t C>
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uint32_t OptimizeLut(const Image<IMG_X, IMG_Y, C>& image, Lut3d<LUT_X, LUT_Y, LUT_Z>* lut) {
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static_assert(C == 3);
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uint32_t diff = 0;
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for (uint32_t r = 0; r < R; ++r) {
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auto& rect = lut->at(r);
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for (uint32_t x = 0; x < LUT_X; ++x) {
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auto& rect = lut->at(x);
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for (uint32_t g = 0; g < G; ++g) {
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auto& row = rect.at(g);
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for (uint32_t y = 0; y < LUT_Y; ++y) {
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auto& row = rect.at(y);
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for (uint32_t b = 0; b < B; ++b) {
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auto& color = row.at(b);
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for (uint32_t z = 0; z < LUT_Z; ++z) {
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auto& color = row.at(z);
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std::cout << "(" << r << ", " << g << ", " << b << ")" << std::endl;
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std::cout << Coord<3>{{{x, y, z}}} << std::endl;
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for (uint32_t c = 0; c < color.size(); ++c) {
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for (uint32_t c = 0; c < C; ++c) {
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auto min = FindPossibleMinimum<uint32_t, uint32_t, 4>(
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0, UINT16_MAX,
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[&image, &lut, r, g, b, c](uint32_t val) {
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[&image, &lut, x, y, z, c](uint32_t val) {
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auto test_lut = *lut;
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test_lut[r][g][b].at(c) = val;
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test_lut.at(x).at(y).at(z).at(c) = val;
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return ScoreImage(*test_lut.MapImage(image));
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});
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std::cout << "\tC" << c << ": " << color.at(c) << " -> " << min << std::endl;
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