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author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-19 01:13:27 +0000 |
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committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-19 01:13:27 +0000 |
commit | 40a355a42d4a9444dc753c04c6608dade2f06a23 (patch) | |
tree | 871fc667d2de662f171103ce5ec067014ef85e61 /third_party/jpeg-xl/lib/jxl/enc_detect_dots.cc | |
parent | Adding upstream version 124.0.1. (diff) | |
download | firefox-40a355a42d4a9444dc753c04c6608dade2f06a23.tar.xz firefox-40a355a42d4a9444dc753c04c6608dade2f06a23.zip |
Adding upstream version 125.0.1.upstream/125.0.1
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'third_party/jpeg-xl/lib/jxl/enc_detect_dots.cc')
-rw-r--r-- | third_party/jpeg-xl/lib/jxl/enc_detect_dots.cc | 154 |
1 files changed, 84 insertions, 70 deletions
diff --git a/third_party/jpeg-xl/lib/jxl/enc_detect_dots.cc b/third_party/jpeg-xl/lib/jxl/enc_detect_dots.cc index 4ee8808766..94e6fefb61 100644 --- a/third_party/jpeg-xl/lib/jxl/enc_detect_dots.cc +++ b/third_party/jpeg-xl/lib/jxl/enc_detect_dots.cc @@ -26,7 +26,6 @@ #include "lib/jxl/base/status.h" #include "lib/jxl/convolve.h" #include "lib/jxl/enc_linalg.h" -#include "lib/jxl/enc_optimize.h" #include "lib/jxl/image.h" #include "lib/jxl/image_ops.h" @@ -44,14 +43,16 @@ using hwy::HWY_NAMESPACE::Add; using hwy::HWY_NAMESPACE::Mul; using hwy::HWY_NAMESPACE::Sub; -ImageF SumOfSquareDifferences(const Image3F& forig, const Image3F& smooth, - ThreadPool* pool) { +StatusOr<ImageF> SumOfSquareDifferences(const Image3F& forig, + const Image3F& smooth, + ThreadPool* pool) { const HWY_FULL(float) d; const auto color_coef0 = Set(d, 0.0f); const auto color_coef1 = Set(d, 10.0f); const auto color_coef2 = Set(d, 0.0f); - ImageF sum_of_squares(forig.xsize(), forig.ysize()); + JXL_ASSIGN_OR_RETURN(ImageF sum_of_squares, + ImageF::Create(forig.xsize(), forig.ysize())); JXL_CHECK(RunOnPool( pool, 0, forig.ysize(), ThreadPool::NoInit, [&](const uint32_t task, size_t thread) { @@ -142,11 +143,12 @@ const WeightsSeparable5& WeightsSeparable5Gaussian3() { return weights; } -ImageF ComputeEnergyImage(const Image3F& orig, Image3F* smooth, - ThreadPool* pool) { +StatusOr<ImageF> ComputeEnergyImage(const Image3F& orig, Image3F* smooth, + ThreadPool* pool) { // Prepare guidance images for dot selection. - Image3F forig(orig.xsize(), orig.ysize()); - *smooth = Image3F(orig.xsize(), orig.ysize()); + JXL_ASSIGN_OR_RETURN(Image3F forig, + Image3F::Create(orig.xsize(), orig.ysize())); + JXL_ASSIGN_OR_RETURN(*smooth, Image3F::Create(orig.xsize(), orig.ysize())); Rect rect(orig); const auto& weights1 = WeightsSeparable5Gaussian0_65(); @@ -176,7 +178,7 @@ const size_t kMaxCCSize = 1000; // Extracts a connected component from a Binary image where seed is part // of the component -bool ExtractComponent(ImageF* img, std::vector<Pixel>* pixels, +bool ExtractComponent(const Rect& rect, ImageF* img, std::vector<Pixel>* pixels, const Pixel& seed, double threshold) { static const std::vector<Pixel> neighbors{{1, -1}, {1, 0}, {1, 1}, {0, -1}, {0, 1}, {-1, -1}, {-1, 1}, {1, 0}}; @@ -188,9 +190,9 @@ bool ExtractComponent(ImageF* img, std::vector<Pixel>* pixels, if (pixels->size() > kMaxCCSize) return false; for (const Pixel& delta : neighbors) { Pixel child = current + delta; - if (child.x >= 0 && static_cast<size_t>(child.x) < img->xsize() && - child.y >= 0 && static_cast<size_t>(child.y) < img->ysize()) { - float* value = &img->Row(child.y)[child.x]; + if (child.x >= 0 && static_cast<size_t>(child.x) < rect.xsize() && + child.y >= 0 && static_cast<size_t>(child.y) < rect.ysize()) { + float* value = &rect.Row(img, child.y)[child.x]; if (*value > threshold) { *value = 0.0; q.push_back(child); @@ -221,7 +223,7 @@ struct ConnectedComponent { float score; Pixel mode; - void CompStats(const ImageF& energy, int extra) { + void CompStats(const ImageF& energy, const Rect& rect, int extra) { maxEnergy = 0.0; meanEnergy = 0.0; varEnergy = 0.0; @@ -234,12 +236,12 @@ struct ConnectedComponent { for (int sy = -extra; sy < (static_cast<int>(bounds.ysize()) + extra); sy++) { int y = sy + static_cast<int>(bounds.y0()); - if (y < 0 || static_cast<size_t>(y) >= energy.ysize()) continue; - const float* JXL_RESTRICT erow = energy.ConstRow(y); + if (y < 0 || static_cast<size_t>(y) >= rect.ysize()) continue; + const float* JXL_RESTRICT erow = rect.ConstRow(energy, y); for (int sx = -extra; sx < (static_cast<int>(bounds.xsize()) + extra); sx++) { int x = sx + static_cast<int>(bounds.x0()); - if (x < 0 || static_cast<size_t>(x) >= energy.xsize()) continue; + if (x < 0 || static_cast<size_t>(x) >= rect.xsize()) continue; if (erow[x] > maxEnergy) { maxEnergy = erow[x]; mode.x = x; @@ -266,7 +268,10 @@ struct ConnectedComponent { Rect BoundingRectangle(const std::vector<Pixel>& pixels) { JXL_ASSERT(!pixels.empty()); - int low_x, high_x, low_y, high_y; + int low_x; + int high_x; + int low_y; + int high_y; low_x = high_x = pixels[0].x; low_y = high_y = pixels[0].y; for (const Pixel& p : pixels) { @@ -278,22 +283,25 @@ Rect BoundingRectangle(const std::vector<Pixel>& pixels) { return Rect(low_x, low_y, high_x - low_x + 1, high_y - low_y + 1); } -std::vector<ConnectedComponent> FindCC(const ImageF& energy, double t_low, - double t_high, uint32_t maxWindow, - double minScore) { +StatusOr<std::vector<ConnectedComponent>> FindCC(const ImageF& energy, + const Rect& rect, double t_low, + double t_high, + uint32_t maxWindow, + double minScore) { const int kExtraRect = 4; - ImageF img(energy.xsize(), energy.ysize()); + JXL_ASSIGN_OR_RETURN(ImageF img, + ImageF::Create(energy.xsize(), energy.ysize())); CopyImageTo(energy, &img); std::vector<ConnectedComponent> ans; - for (size_t y = 0; y < img.ysize(); y++) { - float* JXL_RESTRICT row = img.Row(y); - for (size_t x = 0; x < img.xsize(); x++) { + for (size_t y = 0; y < rect.ysize(); y++) { + float* JXL_RESTRICT row = rect.Row(&img, y); + for (size_t x = 0; x < rect.xsize(); x++) { if (row[x] > t_high) { std::vector<Pixel> pixels; row[x] = 0.0; bool success = ExtractComponent( - &img, &pixels, Pixel{static_cast<int>(x), static_cast<int>(y)}, - t_low); + rect, &img, &pixels, + Pixel{static_cast<int>(x), static_cast<int>(y)}, t_low); if (!success) continue; #if JXL_DEBUG_DOT_DETECT for (size_t i = 0; i < pixels.size(); i++) { @@ -304,7 +312,7 @@ std::vector<ConnectedComponent> FindCC(const ImageF& energy, double t_low, Rect bounds = BoundingRectangle(pixels); if (bounds.xsize() < maxWindow && bounds.ysize() < maxWindow) { ConnectedComponent cc{bounds, std::move(pixels)}; - cc.CompStats(energy, kExtraRect); + cc.CompStats(energy, rect, kExtraRect); if (cc.score < minScore) continue; JXL_DEBUG(JXL_DEBUG_DOT_DETECT, "cc mode: (%d,%d), max: %f, bgMean: %f bgVar: " @@ -323,12 +331,14 @@ std::vector<ConnectedComponent> FindCC(const ImageF& energy, double t_low, // TODO(sggonzalez): Adapt this function for the different color spaces or // remove it if the color space with the best performance does not need it void ComputeDotLosses(GaussianEllipse* ellipse, const ConnectedComponent& cc, - const Image3F& img, const Image3F& background) { + const Rect& rect, const Image3F& img, + const Image3F& background) { const int rectBounds = 2; const double kIntensityR = 0.0; // 0.015; const double kSigmaR = 0.0; // 0.01; const double kZeroEpsilon = 0.1; // Tolerance to consider a value negative - double ct = cos(ellipse->angle), st = sin(ellipse->angle); + double ct = cos(ellipse->angle); + double st = sin(ellipse->angle); const std::array<double, 3> channelGains{{1.0, 1.0, 1.0}}; int N = 0; ellipse->l1_loss = 0.0; @@ -342,15 +352,15 @@ void ComputeDotLosses(GaussianEllipse* ellipse, const ConnectedComponent& cc, for (int sy = -rectBounds; sy < (static_cast<int>(cc.bounds.ysize()) + rectBounds); sy++) { int y = sy + cc.bounds.y0(); - if (y < 0 || static_cast<size_t>(y) >= img.ysize()) continue; - const float* JXL_RESTRICT row = img.ConstPlaneRow(c, y); + if (y < 0 || static_cast<size_t>(y) >= rect.ysize()) continue; + const float* JXL_RESTRICT row = rect.ConstPlaneRow(img, c, y); // bgrow is only used if kOptimizeBackground is false. // NOLINTNEXTLINE(clang-analyzer-deadcode.DeadStores) - const float* JXL_RESTRICT bgrow = background.ConstPlaneRow(c, y); + const float* JXL_RESTRICT bgrow = rect.ConstPlaneRow(background, c, y); for (int sx = -rectBounds; sx < (static_cast<int>(cc.bounds.xsize()) + rectBounds); sx++) { int x = sx + cc.bounds.x0(); - if (x < 0 || static_cast<size_t>(x) >= img.xsize()) continue; + if (x < 0 || static_cast<size_t>(x) >= rect.xsize()) continue; double target = row[x]; double dotDelta = DotGaussianModel( x - ellipse->x, y - ellipse->y, ct, st, ellipse->sigma_x, @@ -385,9 +395,8 @@ void ComputeDotLosses(GaussianEllipse* ellipse, const ConnectedComponent& cc, ellipse->ridge_loss = ellipse->l2_loss + ridgeTerm; } -GaussianEllipse FitGaussianFast(const ConnectedComponent& cc, - const ImageF& energy, const Image3F& img, - const Image3F& background) { +GaussianEllipse FitGaussianFast(const ConnectedComponent& cc, const Rect& rect, + const Image3F& img, const Image3F& background) { constexpr bool leastSqIntensity = true; constexpr double kEpsilon = 1e-6; GaussianEllipse ans; @@ -405,18 +414,18 @@ GaussianEllipse FitGaussianFast(const ConnectedComponent& cc, "%" PRIuS " %" PRIuS " %" PRIuS " %" PRIuS "\n", cc.bounds.x0(), cc.bounds.y0(), cc.bounds.xsize(), cc.bounds.ysize()); for (int c = 0; c < 3; c++) { - color[c] = img.ConstPlaneRow(c, cc.mode.y)[cc.mode.x] - - background.ConstPlaneRow(c, cc.mode.y)[cc.mode.x]; + color[c] = rect.ConstPlaneRow(img, c, cc.mode.y)[cc.mode.x] - + rect.ConstPlaneRow(background, c, cc.mode.y)[cc.mode.x]; } double sign = (color[1] > 0) ? 1 : -1; for (int sy = -kRectBounds; sy <= kRectBounds; sy++) { int y = sy + cc.mode.y; - if (y < 0 || static_cast<size_t>(y) >= energy.ysize()) continue; - const float* JXL_RESTRICT row = img.ConstPlaneRow(1, y); - const float* JXL_RESTRICT bgrow = background.ConstPlaneRow(1, y); + if (y < 0 || static_cast<size_t>(y) >= rect.ysize()) continue; + const float* JXL_RESTRICT row = rect.ConstPlaneRow(img, 1, y); + const float* JXL_RESTRICT bgrow = rect.ConstPlaneRow(background, 1, y); for (int sx = -kRectBounds; sx <= kRectBounds; sx++) { int x = sx + cc.mode.x; - if (x < 0 || static_cast<size_t>(x) >= energy.xsize()) continue; + if (x < 0 || static_cast<size_t>(x) >= rect.xsize()) continue; double w = std::max(kEpsilon, sign * (row[x] - bgrow[x])); sum += w; @@ -426,7 +435,7 @@ GaussianEllipse FitGaussianFast(const ConnectedComponent& cc, m2[1] += w * x * y; m2[2] += w * y * y; for (int c = 0; c < 3; c++) { - bgColor[c] += background.ConstPlaneRow(c, y)[x]; + bgColor[c] += rect.ConstPlaneRow(background, c, y)[x]; } N++; } @@ -450,14 +459,16 @@ GaussianEllipse FitGaussianFast(const ConnectedComponent& cc, ans.intensity[j] = kScaleMult[j] * color[j]; } - ImageD Sigma(2, 2), D(1, 2), U(2, 2); - Sigma.Row(0)[0] = m2[0] - m1[0] * m1[0]; - Sigma.Row(1)[1] = m2[2] - m1[1] * m1[1]; - Sigma.Row(0)[1] = Sigma.Row(1)[0] = m2[1] - m1[0] * m1[1]; - ConvertToDiagonal(Sigma, &D, &U); - const double* JXL_RESTRICT d = D.ConstRow(0); - const double* JXL_RESTRICT u = U.ConstRow(1); - int p1 = 0, p2 = 1; + Matrix2x2 Sigma; + Vector2 d; + Matrix2x2 U; + Sigma[0][0] = m2[0] - m1[0] * m1[0]; + Sigma[1][1] = m2[2] - m1[1] * m1[1]; + Sigma[0][1] = Sigma[1][0] = m2[1] - m1[0] * m1[1]; + ConvertToDiagonal(Sigma, d, U); + Vector2& u = U[1]; + int p1 = 0; + int p2 = 1; if (d[0] < d[1]) std::swap(p1, p2); ans.sigma_x = kSigmaMult * d[p1]; ans.sigma_y = kSigmaMult * d[p2]; @@ -466,7 +477,8 @@ GaussianEllipse FitGaussianFast(const ConnectedComponent& cc, ans.bgColor = bgColor; if (leastSqIntensity) { GaussianEllipse* ellipse = &ans; - double ct = cos(ans.angle), st = sin(ans.angle); + double ct = cos(ans.angle); + double st = sin(ans.angle); // Estimate intensity with least squares (fixed background) for (int c = 0; c < 3; c++) { double gg = 0.0; @@ -474,11 +486,11 @@ GaussianEllipse FitGaussianFast(const ConnectedComponent& cc, int yc = static_cast<int>(cc.mode.y); int xc = static_cast<int>(cc.mode.x); for (int y = yc - kRectBounds; y <= yc + kRectBounds; y++) { - if (y < 0 || static_cast<size_t>(y) >= img.ysize()) continue; - const float* JXL_RESTRICT row = img.ConstPlaneRow(c, y); - const float* JXL_RESTRICT bgrow = background.ConstPlaneRow(c, y); + if (y < 0 || static_cast<size_t>(y) >= rect.ysize()) continue; + const float* JXL_RESTRICT row = rect.ConstPlaneRow(img, c, y); + const float* JXL_RESTRICT bgrow = rect.ConstPlaneRow(background, c, y); for (int x = xc - kRectBounds; x <= xc + kRectBounds; x++) { - if (x < 0 || static_cast<size_t>(x) >= img.xsize()) continue; + if (x < 0 || static_cast<size_t>(x) >= rect.xsize()) continue; double target = row[x] - bgrow[x]; double gaussian = DotGaussianModel(x - ellipse->x, y - ellipse->y, ct, st, @@ -490,13 +502,13 @@ GaussianEllipse FitGaussianFast(const ConnectedComponent& cc, ans.intensity[c] = gd / (gg + 1e-6); // Regularized least squares } } - ComputeDotLosses(&ans, cc, img, background); + ComputeDotLosses(&ans, cc, rect, img, background); return ans; } -GaussianEllipse FitGaussian(const ConnectedComponent& cc, const ImageF& energy, +GaussianEllipse FitGaussian(const ConnectedComponent& cc, const Rect& rect, const Image3F& img, const Image3F& background) { - auto ellipse = FitGaussianFast(cc, energy, img, background); + auto ellipse = FitGaussianFast(cc, rect, img, background); if (ellipse.sigma_x < ellipse.sigma_y) { std::swap(ellipse.sigma_x, ellipse.sigma_y); ellipse.angle += kPi / 2.0; @@ -522,14 +534,16 @@ GaussianEllipse FitGaussian(const ConnectedComponent& cc, const ImageF& energy, } // namespace -std::vector<PatchInfo> DetectGaussianEllipses( - const Image3F& opsin, const GaussianDetectParams& params, +StatusOr<std::vector<PatchInfo>> DetectGaussianEllipses( + const Image3F& opsin, const Rect& rect, const GaussianDetectParams& params, const EllipseQuantParams& qParams, ThreadPool* pool) { std::vector<PatchInfo> dots; - Image3F smooth(opsin.xsize(), opsin.ysize()); - ImageF energy = ComputeEnergyImage(opsin, &smooth, pool); - std::vector<ConnectedComponent> components = FindCC( - energy, params.t_low, params.t_high, params.maxWinSize, params.minScore); + JXL_ASSIGN_OR_RETURN(Image3F smooth, + Image3F::Create(opsin.xsize(), opsin.ysize())); + JXL_ASSIGN_OR_RETURN(ImageF energy, ComputeEnergyImage(opsin, &smooth, pool)); + JXL_ASSIGN_OR_RETURN(std::vector<ConnectedComponent> components, + FindCC(energy, rect, params.t_low, params.t_high, + params.maxWinSize, params.minScore)); size_t numCC = std::min(params.maxCC, (components.size() * params.percCC) / 100); if (components.size() > numCC) { @@ -541,11 +555,11 @@ std::vector<PatchInfo> DetectGaussianEllipses( components.erase(components.begin() + numCC, components.end()); } for (const auto& cc : components) { - GaussianEllipse ellipse = FitGaussian(cc, energy, opsin, smooth); + GaussianEllipse ellipse = FitGaussian(cc, rect, opsin, smooth); if (ellipse.x < 0.0 || - std::ceil(ellipse.x) >= static_cast<double>(opsin.xsize()) || + std::ceil(ellipse.x) >= static_cast<double>(rect.xsize()) || ellipse.y < 0.0 || - std::ceil(ellipse.y) >= static_cast<double>(opsin.ysize())) { + std::ceil(ellipse.y) >= static_cast<double>(rect.ysize())) { continue; } if (ellipse.neg_pixels > params.maxNegPixels) continue; @@ -573,8 +587,8 @@ std::vector<PatchInfo> DetectGaussianEllipses( for (size_t x = 0; x < patch.xsize; x++) { for (size_t c = 0; c < 3; c++) { patch.fpixels[c][y * patch.xsize + x] = - opsin.ConstPlaneRow(c, y0 + y)[x0 + x] - - smooth.ConstPlaneRow(c, y0 + y)[x0 + x]; + rect.ConstPlaneRow(opsin, c, y0 + y)[x0 + x] - + rect.ConstPlaneRow(smooth, c, y0 + y)[x0 + x]; } } } |