Group platform independent c++ code

plugin/android/src/main/cpp/CMakeLists.txt

@@ -33,18 +33,24 @@ add_library( # Sets the name of the library.
              SHARED
 
              # Provides a relative path to your source file(s).
+             core/filter/brightness.cpp
+             core/filter/color_levels.cpp
+             core/filter/contrast.cpp
+             core/filter/curve.cpp
+             core/filter/hslhsv.cpp
+             core/filter/saturation.cpp
+             core/filter/tint.cpp
+             core/filter/warmth.cpp
+             core/filter/yuv.cpp
+             core/lib/spline/spline.cpp
              filter/brightness.cpp
              filter/color_levels.cpp
              filter/contrast.cpp
              filter/crop.cpp
-             filter/curve.cpp
-             filter/hslhsv.cpp
              filter/orientation.cpp
              filter/saturation.cpp
              filter/tint.cpp
              filter/warmth.cpp
-             filter/yuv.cpp
-             lib/spline/spline.cpp
              arbitrary_style_transfer.cpp
              deep_lap_3.cpp
              esrgan.cpp

plugin/android/src/main/cpp/arbitrary_style_transfer.cpp

@@ -1,9 +1,3 @@
-#include "exception.h"
-#include "lib/base_resample.h"
-#include "log.h"
-#include "stopwatch.h"
-#include "tflite_wrapper.h"
-#include "util.h"
 #include <android/asset_manager.h>
 #include <android/asset_manager_jni.h>
 #include <cassert>
@@ -14,6 +8,13 @@
 #include <tensorflow/lite/c/c_api.h>
 #include <vector>
 
+#include "core/lib/base_resample.h"
+#include "exception.h"
+#include "log.h"
+#include "stopwatch.h"
+#include "tflite_wrapper.h"
+#include "util.h"
+
 using namespace plugin;
 using namespace std;
 using namespace tflite;

plugin/android/src/main/cpp/core/filter/brightness.cpp

@@ -0,0 +1,61 @@
+#include <cmath>
+#include <cstdint>
+#include <cstring>
+#include <vector>
+
+#include "../log.h"
+#include "../math_util.h"
+#include "hslhsv.h"
+
+using namespace core;
+using namespace std;
+
+namespace {
+
+class Brightness {
+public:
+  std::vector<uint8_t> apply(const uint8_t *rgba8, const size_t width,
+                             const size_t height, const float weight);
+
+private:
+  static constexpr const char *TAG = "Brightness";
+};
+
+} // namespace
+
+namespace core {
+namespace filter {
+
+vector<uint8_t> applyBrightness(const uint8_t *rgba8, const size_t width,
+                                const size_t height, const float weight) {
+  return Brightness().apply(rgba8, width, height, weight);
+}
+
+} // namespace filter
+} // namespace core
+
+namespace {
+
+vector<uint8_t> Brightness::apply(const uint8_t *rgba8, const size_t width,
+                                  const size_t height, const float weight) {
+  LOGI(TAG, "[apply] weight: %.2f", weight);
+  if (weight == 0) {
+    // shortcut
+    return vector<uint8_t>(rgba8, rgba8 + width * height * 4);
+  }
+
+  const float mul = 1 + weight / 2;
+  vector<uint8_t> output(width * height * 4);
+#pragma omp parallel for
+  for (size_t i = 0; i < width * height; ++i) {
+    const auto p = i * 4;
+    auto hsv = filter::rgb8ToHsv(rgba8 + p);
+    hsv[2] = clamp(0.f, hsv[2] * mul, 1.f);
+    const auto &newRgb = filter::hsvToRgb8(hsv.data());
+    memcpy(output.data() + p, newRgb.data(), 3);
+    output[p + 3] = rgba8[p + 3];
+  }
+  return output;
+}
+
+} // namespace

plugin/android/src/main/cpp/core/filter/color_levels.cpp

@@ -0,0 +1,144 @@
+#include <cstdint>
+#include <vector>
+
+#include "../log.h"
+#include "../math_util.h"
+
+using namespace core;
+using namespace std;
+
+namespace {
+
+constexpr float INPUT_AMPLITUDE = .4f;
+constexpr uint8_t OUTPUT_AMPLITUDE = 100;
+
+class WhitePoint {
+public:
+  std::vector<uint8_t> apply(const uint8_t *rgba8, const size_t width,
+                             const size_t height, const float weight);
+
+private:
+  static uint8_t applyInputLevel(const uint8_t p, const float weight) {
+    const auto pf = p / 255.f;
+    const auto max = 1 - weight * INPUT_AMPLITUDE;
+    return clamp<int>(0, clamp(0.f, pf, max) / max * 255.f, 255);
+  }
+
+  static uint8_t applyOutputLevel(const uint8_t p, const float weight) {
+    return clamp<int>(0, p / 255.f * (255 - weight * OUTPUT_AMPLITUDE), 255);
+  }
+
+  static std::vector<uint8_t> buildLut(const float weight);
+
+  static constexpr const char *TAG = "WhitePoint";
+};
+
+class BlackPoint {
+public:
+  std::vector<uint8_t> apply(const uint8_t *rgba8, const size_t width,
+                             const size_t height, const float weight);
+
+private:
+  static inline uint8_t applyInputLevel(const uint8_t p, const float weight) {
+    const auto pf = p / 255.f;
+    const auto min = weight * INPUT_AMPLITUDE;
+    return clamp<int>(0, (clamp(min, pf, 1.f) - min) / (1 - min) * 255.f, 255);
+  }
+
+  static inline uint8_t applyOutputLevel(const uint8_t p, const float weight) {
+    const auto x = weight * OUTPUT_AMPLITUDE;
+    return clamp<int>(0, p / 255.f * (255 - x) + x, 255);
+  }
+
+  static std::vector<uint8_t> buildLut(const float weight);
+
+  static constexpr const char *TAG = "BlackPoint";
+};
+
+} // namespace
+
+namespace core {
+namespace filter {
+
+vector<uint8_t> applyWhitePoint(const uint8_t *rgba8, const size_t width,
+                                const size_t height, const float weight) {
+  return WhitePoint().apply(rgba8, width, height, weight);
+}
+
+vector<uint8_t> applyBlackPoint(const uint8_t *rgba8, const size_t width,
+                                const size_t height, const float weight) {
+  return BlackPoint().apply(rgba8, width, height, weight);
+}
+
+} // namespace filter
+} // namespace core
+
+namespace {
+
+vector<uint8_t> WhitePoint::apply(const uint8_t *rgba8, const size_t width,
+                                  const size_t height, const float weight) {
+  LOGI(TAG, "[apply] weight: %.2f", weight);
+  if (weight == 0) {
+    // shortcut
+    return vector<uint8_t>(rgba8, rgba8 + width * height * 4);
+  }
+
+  const auto lut = buildLut(weight);
+  vector<uint8_t> output(width * height * 4);
+#pragma omp parallel for
+  for (size_t i = 0; i < width * height; ++i) {
+    const auto p = i * 4;
+    output[p + 0] = lut[rgba8[p + 0]];
+    output[p + 1] = lut[rgba8[p + 1]];
+    output[p + 2] = lut[rgba8[p + 2]];
+    output[p + 3] = rgba8[p + 3];
+  }
+  return output;
+}
+
+vector<uint8_t> WhitePoint::buildLut(const float weight) {
+  vector<uint8_t> product(256);
+  const float weightAbs = std::abs(weight);
+  const auto fn =
+      weight > 0 ? &WhitePoint::applyInputLevel : &WhitePoint::applyOutputLevel;
+#pragma omp parallel for
+  for (size_t i = 0; i < 256; ++i) {
+    product[i] = fn(i, weightAbs);
+  }
+  return product;
+}
+
+vector<uint8_t> BlackPoint::apply(const uint8_t *rgba8, const size_t width,
+                                  const size_t height, const float weight) {
+  LOGI(TAG, "[apply] weight: %.2f", weight);
+  if (weight == 0) {
+    // shortcut
+    return vector<uint8_t>(rgba8, rgba8 + width * height * 4);
+  }
+
+  const auto lut = buildLut(weight);
+  vector<uint8_t> output(width * height * 4);
+#pragma omp parallel for
+  for (size_t i = 0; i < width * height; ++i) {
+    const auto p = i * 4;
+    output[p + 0] = lut[rgba8[p + 0]];
+    output[p + 1] = lut[rgba8[p + 1]];
+    output[p + 2] = lut[rgba8[p + 2]];
+    output[p + 3] = rgba8[p + 3];
+  }
+  return output;
+}
+
+vector<uint8_t> BlackPoint::buildLut(const float weight) {
+  vector<uint8_t> product(256);
+  const float weightAbs = std::abs(weight);
+  const auto fn =
+      weight > 0 ? &BlackPoint::applyInputLevel : &BlackPoint::applyOutputLevel;
+#pragma omp parallel for
+  for (size_t i = 0; i < 256; ++i) {
+    product[i] = fn(i, weightAbs);
+  }
+  return product;
+}
+
+} // namespace

plugin/android/src/main/cpp/core/filter/contrast.cpp

@@ -0,0 +1,77 @@
+#include <cmath>
+#include <cstdint>
+#include <cstring>
+#include <memory>
+#include <vector>
+
+#include "../log.h"
+#include "../math_util.h"
+#include "hslhsv.h"
+
+using namespace core;
+using namespace std;
+
+namespace {
+
+class Contrast {
+public:
+  std::vector<uint8_t> apply(const uint8_t *rgba8, const size_t width,
+                             const size_t height, const float weight);
+
+private:
+  static constexpr const char *TAG = "Contrast";
+};
+
+inline uint8_t applySingle(const uint8_t p, const float mul) {
+  return clamp(0, static_cast<int>((p - 127) * mul + 127), 0xFF);
+}
+
+std::vector<uint8_t> buildLut(const float mul);
+
+} // namespace
+
+namespace core {
+namespace filter {
+
+vector<uint8_t> applyContrast(const uint8_t *rgba8, const size_t width,
+                              const size_t height, const float weight) {
+  return Contrast().apply(rgba8, width, height, weight);
+}
+
+} // namespace filter
+} // namespace core
+
+namespace {
+
+vector<uint8_t> Contrast::apply(const uint8_t *rgba8, const size_t width,
+                                const size_t height, const float weight) {
+  LOGI(TAG, "[apply] weight: %.2f", weight);
+  if (weight == 0) {
+    // shortcut
+    return vector<uint8_t>(rgba8, rgba8 + width * height * 4);
+  }
+
+  const float mul = weight >= 0 ? weight + 1 : (weight + 1) * .4f + .6f;
+  const auto lut = buildLut(mul);
+  vector<uint8_t> output(width * height * 4);
+#pragma omp parallel for
+  for (size_t i = 0; i < width * height; ++i) {
+    const auto p = i * 4;
+    output[p + 0] = lut[rgba8[p + 0]];
+    output[p + 1] = lut[rgba8[p + 1]];
+    output[p + 2] = lut[rgba8[p + 2]];
+    output[p + 3] = rgba8[p + 3];
+  }
+  return output;
+}
+
+vector<uint8_t> buildLut(const float mul) {
+  vector<uint8_t> product(256);
+#pragma omp parallel for
+  for (size_t i = 0; i < 256; ++i) {
+    product[i] = applySingle(i, mul);
+  }
+  return product;
+}
+
+} // namespace

plugin/android/src/main/cpp/core/filter/curve.cpp

@@ -3,7 +3,7 @@
 #include <vector>
 
 #include "../lib/spline/spline.h"
-#include "./curve.h"
+#include "curve.h"
 
 using namespace std;
 
@@ -11,23 +11,23 @@ namespace {
 
 std::vector<uint8_t> buildLut(const vector<uint8_t> &from,
                               const vector<uint8_t> &to);
-vector<double> transformPoints(const vector<uint8_t> &pts);
+std::vector<double> transformPoints(const vector<uint8_t> &pts);
 
 } // namespace
 
-namespace plugin {
+namespace core {
 namespace filter {
 
 Curve::Curve(const vector<uint8_t> &from, const vector<uint8_t> &to)
     : lut(buildLut(from, to)) {}
 
 } // namespace filter
-} // namespace plugin
+} // namespace core
 
 namespace {
 
-std::vector<uint8_t> buildLut(const vector<uint8_t> &from,
-                              const vector<uint8_t> &to) {
+vector<uint8_t> buildLut(const vector<uint8_t> &from,
+                         const vector<uint8_t> &to) {
   assert(from.size() >= 2);
   assert(from[0] == 0);
   assert(from[from.size() - 1] == 255);
@@ -36,7 +36,7 @@ std::vector<uint8_t> buildLut(const vector<uint8_t> &from,
   assert(to[to.size() - 1] == 255);
   tk::spline spline(transformPoints(from), transformPoints(to),
                     tk::spline::cspline_hermite);
-  std::vector<uint8_t> lut;
+  vector<uint8_t> lut;
   lut.reserve(256);
   for (int i = 0; i <= 0xFF; ++i) {
     lut.push_back(std::min(std::max(0, static_cast<int>(spline(i))), 0xFF));

plugin/android/src/main/cpp/core/filter/curve.h

@@ -1,7 +1,7 @@
 #include <cstdint>
 #include <vector>
 
-namespace plugin {
+namespace core {
 namespace filter {
 
 class Curve {
@@ -23,4 +23,4 @@ private:
 };
 
 } // namespace filter
-} // namespace plugin
+} // namespace core

plugin/android/src/main/cpp/core/filter/filters.h

@@ -0,0 +1,30 @@
+#include <cstddef>
+#include <cstdint>
+#include <vector>
+
+namespace core {
+namespace filter {
+
+std::vector<uint8_t> applyBrightness(const uint8_t *rgba8, const size_t width,
+                                     const size_t height, const float weight);
+
+std::vector<uint8_t> applyWhitePoint(const uint8_t *rgba8, const size_t width,
+                                     const size_t height, const float weight);
+
+std::vector<uint8_t> applyBlackPoint(const uint8_t *rgba8, const size_t width,
+                                     const size_t height, const float weight);
+
+std::vector<uint8_t> applyContrast(const uint8_t *rgba8, const size_t width,
+                                   const size_t height, const float weight);
+
+std::vector<uint8_t> applySaturation(const uint8_t *rgba8, const size_t width,
+                                     const size_t height, const float weight);
+
+std::vector<uint8_t> applyTint(const uint8_t *rgba8, const size_t width,
+                               const size_t height, const float weight);
+
+std::vector<uint8_t> applyWarmth(const uint8_t *rgba8, const size_t width,
+                                 const size_t height, const float weight);
+
+} // namespace filter
+} // namespace core

plugin/android/src/main/cpp/core/filter/hslhsv.cpp

@@ -4,11 +4,11 @@
 #include <cstdint>
 
 #include "../math_util.h"
-#include "./hslhsv.h"
+#include "hslhsv.h"
 
 using namespace std;
 
-namespace plugin {
+namespace core {
 namespace filter {
 
 array<float, 3> rgb8ToHsl(const uint8_t *rgb8) {
@@ -167,4 +167,4 @@ std::array<float, 3> hsvToHsl(const float *hsv) {
 }
 
 } // namespace filter
-} // namespace plugin
+} // namespace core

plugin/android/src/main/cpp/core/filter/hslhsv.h

@@ -3,7 +3,7 @@
 #include <array>
 #include <cstdint>
 
-namespace plugin {
+namespace core {
 namespace filter {
 
 std::array<float, 3> rgb8ToHsl(const uint8_t *rgb8);
@@ -16,4 +16,4 @@ std::array<float, 3> hslToHsv(const float *hsl);
 std::array<float, 3> hsvToHsl(const float *hsv);
 
 } // namespace filter
-} // namespace plugin
+} // namespace core

plugin/android/src/main/cpp/core/filter/saturation.cpp

@@ -0,0 +1,44 @@
+#include <cmath>
+#include <cstdint>
+#include <cstring>
+#include <memory>
+#include <vector>
+
+#include "../log.h"
+#include "../math_util.h"
+#include "hslhsv.h"
+#include "saturation.h"
+
+using namespace std;
+
+namespace core {
+namespace filter {
+
+vector<uint8_t> applySaturation(const uint8_t *rgba8, const size_t width,
+                                const size_t height, const float weight) {
+  return Saturation().apply(rgba8, width, height, weight);
+}
+
+vector<uint8_t> Saturation::apply(const uint8_t *rgba8, const size_t width,
+                                  const size_t height, const float weight) {
+  LOGI(TAG, "[apply] weight: %.2f", weight);
+  if (weight == 0) {
+    // shortcut
+    return vector<uint8_t>(rgba8, rgba8 + width * height * 4);
+  }
+
+  vector<uint8_t> output(width * height * 4);
+#pragma omp parallel for
+  for (size_t i = 0; i < width * height; ++i) {
+    const auto p = i * 4;
+    auto hsl = filter::rgb8ToHsl(rgba8 + p);
+    hsl[1] = clamp(0.f, hsl[1] * (1 + weight), 1.f);
+    const auto &newRgb = filter::hslToRgb8(hsl.data());
+    memcpy(output.data() + p, newRgb.data(), 3);
+    output[p + 3] = rgba8[p + 3];
+  }
+  return output;
+}
+
+} // namespace filter
+} // namespace core

plugin/android/src/main/cpp/core/filter/saturation.h

@@ -1,7 +1,7 @@
 #include <cstdint>
 #include <vector>
 
-namespace plugin {
+namespace core {
 namespace filter {
 
 class Saturation {
@@ -14,4 +14,4 @@ private:
 };
 
 } // namespace filter
-} // namespace plugin
+} // namespace core

plugin/android/src/main/cpp/core/filter/tint.cpp

@@ -0,0 +1,62 @@
+#include <cstdint>
+#include <cstring>
+#include <exception>
+#include <vector>
+
+#include "../log.h"
+#include "../math_util.h"
+#include "yuv.h"
+
+using namespace core;
+using namespace std;
+
+namespace {
+
+class Tint {
+public:
+  std::vector<uint8_t> apply(const uint8_t *rgba8, const size_t width,
+                             const size_t height, const float weight);
+
+private:
+  static constexpr const char *TAG = "Tint";
+};
+
+} // namespace
+
+namespace core {
+namespace filter {
+
+vector<uint8_t> applyTint(const uint8_t *rgba8, const size_t width,
+                          const size_t height, const float weight) {
+  return Tint().apply(rgba8, width, height, weight);
+}
+
+} // namespace filter
+} // namespace core
+
+namespace {
+
+vector<uint8_t> Tint::apply(const uint8_t *rgba8, const size_t width,
+                            const size_t height, const float weight) {
+  LOGI(TAG, "[apply] weight: %.2f", weight);
+  if (weight == 0) {
+    // shortcut
+    return vector<uint8_t>(rgba8, rgba8 + width * height * 4);
+  }
+
+  vector<uint8_t> output(width * height * 4);
+#pragma omp parallel for
+  for (size_t i = 0; i < width * height; ++i) {
+    const auto p = i * 4;
+    auto yuv = filter::rgb8ToYuv(rgba8 + p);
+    // +-0.1
+    yuv[1] = clamp(0.f, yuv[1] + 0.1f * weight, 1.f);
+    yuv[2] = clamp(0.f, yuv[2] + 0.1f * weight, 1.f);
+    const auto &newRgb = filter::yuvToRgb8(yuv.data());
+    memcpy(output.data() + p, newRgb.data(), 3);
+    output[p + 3] = rgba8[p + 3];
+  }
+  return output;
+}
+
+} // namespace

plugin/android/src/main/cpp/core/filter/warmth.cpp

@@ -0,0 +1,102 @@
+#include <cmath>
+#include <cstdint>
+#include <memory>
+#include <vector>
+
+#include "../log.h"
+#include "curve.h"
+
+using namespace core;
+using namespace std;
+
+namespace {
+
+class Warmth {
+public:
+  std::vector<uint8_t> apply(const uint8_t *rgba8, const size_t width,
+                             const size_t height, const float weight);
+
+private:
+  static filter::Curve getRCurve(const float weight);
+  static unique_ptr<filter::Curve> getGCurve(const float weight);
+  static filter::Curve getBCurve(const float weight);
+
+  static constexpr const char *TAG = "Warmth";
+};
+
+inline uint8_t weighted(const uint8_t from, const uint8_t to,
+                        const float weight) {
+  return (to - from) * weight + from;
+}
+
+} // namespace
+
+namespace core {
+namespace filter {
+
+vector<uint8_t> applyWarmth(const uint8_t *rgba8, const size_t width,
+                            const size_t height, const float weight) {
+  return Warmth().apply(rgba8, width, height, weight);
+}
+
+} // namespace filter
+} // namespace core
+
+namespace {
+
+vector<uint8_t> Warmth::apply(const uint8_t *rgba8, const size_t width,
+                              const size_t height, const float weight) {
+  LOGI(TAG, "[apply] weight: %.2f", weight);
+  if (weight == 0) {
+    // shortcut
+    return vector<uint8_t>(rgba8, rgba8 + width * height * 4);
+  }
+  const auto rCurve = getRCurve(weight);
+  const auto gCurve = getGCurve(weight);
+  const auto bCurve = getBCurve(weight);
+
+  vector<uint8_t> output(width * height * 4);
+#pragma omp parallel for
+  for (size_t i = 0; i < width * height; ++i) {
+    const auto p = i * 4;
+    output[p + 0] = rCurve.fit(rgba8[p + 0]);
+    output[p + 1] = gCurve ? gCurve->fit(rgba8[p + 1]) : rgba8[p + 1];
+    output[p + 2] = bCurve.fit(rgba8[p + 2]);
+    output[p + 3] = rgba8[p + 3];
+  }
+  return output;
+}
+
+filter::Curve Warmth::getRCurve(const float weight) {
+  if (weight >= 0) {
+    return filter::Curve({0, 78, 195, 255}, {0, weighted(78, 100, weight),
+                                             weighted(195, 220, weight), 255});
+  } else {
+    return filter::Curve({0, 95, 220, 255},
+                         {0, weighted(95, 60, std::abs(weight)),
+                          weighted(220, 185, std::abs(weight)), 255});
+  }
+}
+
+unique_ptr<filter::Curve> Warmth::getGCurve(const float weight) {
+  if (weight >= 0) {
+    return make_unique<filter::Curve>(
+        vector<uint8_t>{0, 135, 255},
+        vector<uint8_t>{0, weighted(135, 125, weight), 255});
+  } else {
+    return nullptr;
+  }
+}
+
+filter::Curve Warmth::getBCurve(const float weight) {
+  if (weight >= 0) {
+    return filter::Curve({0, 95, 220, 255}, {0, weighted(95, 60, weight),
+                                             weighted(220, 185, weight), 255});
+  } else {
+    return filter::Curve({0, 78, 195, 255},
+                         {0, weighted(78, 100, std::abs(weight)),
+                          weighted(195, 220, std::abs(weight)), 255});
+  }
+}
+
+} // namespace

plugin/android/src/main/cpp/core/filter/yuv.cpp

@@ -2,11 +2,11 @@
 #include <cstdint>
 
 #include "../math_util.h"
-#include "./yuv.h"
+#include "yuv.h"
 
 using namespace std;
 
-namespace plugin {
+namespace core {
 namespace filter {
 
 array<float, 3> rgb8ToYuv(const uint8_t *rgb8) {
@@ -37,4 +37,4 @@ array<uint8_t, 3> yuvToRgb8(const float *yuv) {
 }
 
 } // namespace filter
-} // namespace plugin
+} // namespace core

plugin/android/src/main/cpp/core/filter/yuv.h

@@ -3,7 +3,7 @@
 #include <array>
 #include <cstdint>
 
-namespace plugin {
+namespace core {
 namespace filter {
 
 /**
@@ -23,4 +23,4 @@ std::array<float, 3> rgb8ToYuv(const uint8_t *rgb8);
 std::array<uint8_t, 3> yuvToRgb8(const float *yuv);
 
 } // namespace filter
-} // namespace plugin
+} // namespace core

plugin/android/src/main/cpp/core/log.h

@@ -0,0 +1,25 @@
+#pragma once
+
+#ifdef __ANDROID__
+#include <android/log.h>
+
+#define LOGE(...) __android_log_print(ANDROID_LOG_ERROR, __VA_ARGS__)
+#define LOGW(...) __android_log_print(ANDROID_LOG_WARN, __VA_ARGS__)
+#ifdef NDEBUG
+#define LOGI(...)
+#define LOGD(...)
+#define LOGV(...)
+#else
+#define LOGI(...) __android_log_print(ANDROID_LOG_INFO, __VA_ARGS__)
+#define LOGD(...) __android_log_print(ANDROID_LOG_DEBUG, __VA_ARGS__)
+#define LOGV(...) __android_log_print(ANDROID_LOG_VERBOSE, __VA_ARGS__)
+#endif
+
+#elif defined(__APPLE__)
+#define LOGE(TAG, MSG, ...) printf("[TAG] MSG", __VA_ARGS__)
+#define LOGW(TAG, MSG, ...) printf("[TAG] MSG", __VA_ARGS__)
+#define LOGI(TAG, MSG, ...) printf("[TAG] MSG", __VA_ARGS__)
+#define LOGD(TAG, MSG, ...) printf("[TAG] MSG", __VA_ARGS__)
+#define LOGV(TAG, MSG, ...) printf("[TAG] MSG", __VA_ARGS__)
+
+#endif

plugin/android/src/main/cpp/core/math_util.h

@@ -0,0 +1,11 @@
+#pragma once
+
+#include <algorithm>
+
+namespace core {
+
+template <typename T> inline T clamp(const T &min, const T &x, const T &max) {
+  return std::max(min, std::min(x, max));
+}
+
+} // namespace core

plugin/android/src/main/cpp/deep_lap_3.cpp

@@ -1,9 +1,3 @@
-#include "exception.h"
-#include "lib/base_resample.h"
-#include "log.h"
-#include "stopwatch.h"
-#include "tflite_wrapper.h"
-#include "util.h"
 #include <RenderScriptToolkit.h>
 #include <algorithm>
 #include <android/asset_manager.h>
@@ -15,8 +9,15 @@
 #include <jni.h>
 #include <tensorflow/lite/c/c_api.h>
 
-#include "./filter/saturation.h"
+#include "core/filter/filters.h"
+#include "core/lib/base_resample.h"
+#include "exception.h"
+#include "log.h"
+#include "stopwatch.h"
+#include "tflite_wrapper.h"
+#include "util.h"
 
+using namespace core;
 using namespace plugin;
 using namespace renderscript;
 using namespace std;
@@ -305,8 +306,8 @@ vector<uint8_t> DeepLab3ColorPop::enhance(const uint8_t *image,
   // desaturate input
   auto rgba8 = rgb8ToRgba8(image, width, height);
   vector<uint8_t> desaturate(width * height * 4);
-  plugin::filter::Saturation saturation;
-  desaturate = saturation.apply(rgba8.data(), width, height, -1 * weight);
+  desaturate =
+      filter::applySaturation(rgba8.data(), width, height, -1 * weight);
 
   // draw input on top of blurred image, with alpha map
   replaceChannel<4>(rgba8.data(), alphaFiltered.data(), width, height, 3);

plugin/android/src/main/cpp/filter/brightness.cpp

@@ -1,32 +1,15 @@
-#include <cmath>
 #include <cstdint>
-#include <cstring>
 #include <exception>
 #include <jni.h>
-#include <vector>
 
+#include "../core/filter/filters.h"
 #include "../exception.h"
-#include "../log.h"
-#include "../math_util.h"
 #include "../util.h"
-#include "./hslhsv.h"
 
+using namespace core;
 using namespace plugin;
 using namespace std;
 
-namespace {
-
-class Brightness {
-public:
-  std::vector<uint8_t> apply(const uint8_t *rgba8, const size_t width,
-                             const size_t height, const float weight);
-
-private:
-  static constexpr const char *TAG = "Brightness";
-};
-
-} // namespace
-
 extern "C" JNIEXPORT jbyteArray JNICALL
 Java_com_nkming_nc_1photos_plugin_image_1processor_Brightness_applyNative(
     JNIEnv *env, jobject *thiz, jbyteArray rgba8, jint width, jint height,
@@ -38,7 +21,7 @@ Java_com_nkming_nc_1photos_plugin_image_1processor_Brightness_applyNative(
         [&](jbyte *obj) {
           env->ReleaseByteArrayElements(rgba8, obj, JNI_ABORT);
         });
-    const auto result = Brightness().apply(
+    const auto result = filter::applyBrightness(
         reinterpret_cast<uint8_t *>(cRgba8.get()), width, height, weight);
     auto resultAry = env->NewByteArray(result.size());
     env->SetByteArrayRegion(resultAry, 0, result.size(),
@@ -49,29 +32,3 @@ Java_com_nkming_nc_1photos_plugin_image_1processor_Brightness_applyNative(
     return nullptr;
   }
 }
-
-namespace {
-
-vector<uint8_t> Brightness::apply(const uint8_t *rgba8, const size_t width,
-                                  const size_t height, const float weight) {
-  LOGI(TAG, "[apply] weight: %.2f", weight);
-  if (weight == 0) {
-    // shortcut
-    return vector<uint8_t>(rgba8, rgba8 + width * height * 4);
-  }
-
-  const float mul = 1 + weight / 2;
-  vector<uint8_t> output(width * height * 4);
-#pragma omp parallel for
-  for (size_t i = 0; i < width * height; ++i) {
-    const auto p = i * 4;
-    auto hsv = filter::rgb8ToHsv(rgba8 + p);
-    hsv[2] = clamp(0.f, hsv[2] * mul, 1.f);
-    const auto &newRgb = filter::hsvToRgb8(hsv.data());
-    memcpy(output.data() + p, newRgb.data(), 3);
-    output[p + 3] = rgba8[p + 3];
-  }
-  return output;
-}
-
-} // namespace

plugin/android/src/main/cpp/filter/color_levels.cpp

@@ -1,66 +1,15 @@
 #include <cstdint>
 #include <exception>
 #include <jni.h>
-#include <vector>
 
+#include "../core/filter/filters.h"
 #include "../exception.h"
-#include "../log.h"
-#include "../math_util.h"
 #include "../util.h"
 
+using namespace core;
 using namespace plugin;
 using namespace std;
 
-namespace {
-
-constexpr float INPUT_AMPLITUDE = .4f;
-constexpr uint8_t OUTPUT_AMPLITUDE = 100;
-
-class WhitePoint {
-public:
-  std::vector<uint8_t> apply(const uint8_t *rgba8, const size_t width,
-                             const size_t height, const float weight);
-
-private:
-  static uint8_t applyInputLevel(const uint8_t p, const float weight) {
-    const auto pf = p / 255.f;
-    const auto max = 1 - weight * INPUT_AMPLITUDE;
-    return clamp<int>(0, clamp(0.f, pf, max) / max * 255.f, 255);
-  }
-
-  static uint8_t applyOutputLevel(const uint8_t p, const float weight) {
-    return clamp<int>(0, p / 255.f * (255 - weight * OUTPUT_AMPLITUDE), 255);
-  }
-
-  static std::vector<uint8_t> buildLut(const float weight);
-
-  static constexpr const char *TAG = "WhitePoint";
-};
-
-class BlackPoint {
-public:
-  std::vector<uint8_t> apply(const uint8_t *rgba8, const size_t width,
-                             const size_t height, const float weight);
-
-private:
-  static inline uint8_t applyInputLevel(const uint8_t p, const float weight) {
-    const auto pf = p / 255.f;
-    const auto min = weight * INPUT_AMPLITUDE;
-    return clamp<int>(0, (clamp(min, pf, 1.f) - min) / (1 - min) * 255.f, 255);
-  }
-
-  static inline uint8_t applyOutputLevel(const uint8_t p, const float weight) {
-    const auto x = weight * OUTPUT_AMPLITUDE;
-    return clamp<int>(0, p / 255.f * (255 - x) + x, 255);
-  }
-
-  static std::vector<uint8_t> buildLut(const float weight);
-
-  static constexpr const char *TAG = "BlackPoint";
-};
-
-} // namespace
-
 extern "C" JNIEXPORT jbyteArray JNICALL
 Java_com_nkming_nc_1photos_plugin_image_1processor_WhitePoint_applyNative(
     JNIEnv *env, jobject *thiz, jbyteArray rgba8, jint width, jint height,
@@ -72,7 +21,7 @@ Java_com_nkming_nc_1photos_plugin_image_1processor_WhitePoint_applyNative(
         [&](jbyte *obj) {
           env->ReleaseByteArrayElements(rgba8, obj, JNI_ABORT);
         });
-    const auto result = WhitePoint().apply(
+    const auto result = filter::applyWhitePoint(
         reinterpret_cast<uint8_t *>(cRgba8.get()), width, height, weight);
     auto resultAry = env->NewByteArray(result.size());
     env->SetByteArrayRegion(resultAry, 0, result.size(),
@@ -95,7 +44,7 @@ Java_com_nkming_nc_1photos_plugin_image_1processor_BlackPoint_applyNative(
         [&](jbyte *obj) {
           env->ReleaseByteArrayElements(rgba8, obj, JNI_ABORT);
         });
-    const auto result = BlackPoint().apply(
+    const auto result = filter::applyBlackPoint(
         reinterpret_cast<uint8_t *>(cRgba8.get()), width, height, weight);
     auto resultAry = env->NewByteArray(result.size());
     env->SetByteArrayRegion(resultAry, 0, result.size(),
@@ -106,73 +55,3 @@ Java_com_nkming_nc_1photos_plugin_image_1processor_BlackPoint_applyNative(
     return nullptr;
   }
 }
-
-namespace {
-
-vector<uint8_t> WhitePoint::apply(const uint8_t *rgba8, const size_t width,
-                                  const size_t height, const float weight) {
-  LOGI(TAG, "[apply] weight: %.2f", weight);
-  if (weight == 0) {
-    // shortcut
-    return vector<uint8_t>(rgba8, rgba8 + width * height * 4);
-  }
-
-  const auto lut = buildLut(weight);
-  vector<uint8_t> output(width * height * 4);
-#pragma omp parallel for
-  for (size_t i = 0; i < width * height; ++i) {
-    const auto p = i * 4;
-    output[p + 0] = lut[rgba8[p + 0]];
-    output[p + 1] = lut[rgba8[p + 1]];
-    output[p + 2] = lut[rgba8[p + 2]];
-    output[p + 3] = rgba8[p + 3];
-  }
-  return output;
-}
-
-vector<uint8_t> WhitePoint::buildLut(const float weight) {
-  vector<uint8_t> product(256);
-  const float weightAbs = std::abs(weight);
-  const auto fn =
-      weight > 0 ? &WhitePoint::applyInputLevel : &WhitePoint::applyOutputLevel;
-#pragma omp parallel for
-  for (size_t i = 0; i < 256; ++i) {
-    product[i] = fn(i, weightAbs);
-  }
-  return product;
-}
-
-vector<uint8_t> BlackPoint::apply(const uint8_t *rgba8, const size_t width,
-                                  const size_t height, const float weight) {
-  LOGI(TAG, "[apply] weight: %.2f", weight);
-  if (weight == 0) {
-    // shortcut
-    return vector<uint8_t>(rgba8, rgba8 + width * height * 4);
-  }
-
-  const auto lut = buildLut(weight);
-  vector<uint8_t> output(width * height * 4);
-#pragma omp parallel for
-  for (size_t i = 0; i < width * height; ++i) {
-    const auto p = i * 4;
-    output[p + 0] = lut[rgba8[p + 0]];
-    output[p + 1] = lut[rgba8[p + 1]];
-    output[p + 2] = lut[rgba8[p + 2]];
-    output[p + 3] = rgba8[p + 3];
-  }
-  return output;
-}
-
-vector<uint8_t> BlackPoint::buildLut(const float weight) {
-  vector<uint8_t> product(256);
-  const float weightAbs = std::abs(weight);
-  const auto fn =
-      weight > 0 ? &BlackPoint::applyInputLevel : &BlackPoint::applyOutputLevel;
-#pragma omp parallel for
-  for (size_t i = 0; i < 256; ++i) {
-    product[i] = fn(i, weightAbs);
-  }
-  return product;
-}
-
-} // namespace

plugin/android/src/main/cpp/filter/contrast.cpp

@@ -1,39 +1,15 @@
-#include <cmath>
 #include <cstdint>
-#include <cstring>
 #include <exception>
 #include <jni.h>
-#include <memory>
-#include <vector>
 
+#include "../core/filter/filters.h"
 #include "../exception.h"
-#include "../log.h"
-#include "../math_util.h"
 #include "../util.h"
-#include "./hslhsv.h"
 
+using namespace core;
 using namespace plugin;
 using namespace std;
 
-namespace {
-
-class Contrast {
-public:
-  std::vector<uint8_t> apply(const uint8_t *rgba8, const size_t width,
-                             const size_t height, const float weight);
-
-private:
-  static constexpr const char *TAG = "Contrast";
-};
-
-inline uint8_t applySingle(const uint8_t p, const float mul) {
-  return clamp(0, static_cast<int>((p - 127) * mul + 127), 0xFF);
-}
-
-std::vector<uint8_t> buildLut(const float mul);
-
-} // namespace
-
 extern "C" JNIEXPORT jbyteArray JNICALL
 Java_com_nkming_nc_1photos_plugin_image_1processor_Contrast_applyNative(
     JNIEnv *env, jobject *thiz, jbyteArray rgba8, jint width, jint height,
@@ -45,7 +21,7 @@ Java_com_nkming_nc_1photos_plugin_image_1processor_Contrast_applyNative(
         [&](jbyte *obj) {
           env->ReleaseByteArrayElements(rgba8, obj, JNI_ABORT);
         });
-    const auto result = Contrast().apply(
+    const auto result = filter::applyContrast(
         reinterpret_cast<uint8_t *>(cRgba8.get()), width, height, weight);
     auto resultAry = env->NewByteArray(result.size());
     env->SetByteArrayRegion(resultAry, 0, result.size(),
@@ -56,38 +32,3 @@ Java_com_nkming_nc_1photos_plugin_image_1processor_Contrast_applyNative(
     return nullptr;
   }
 }
-
-namespace {
-
-vector<uint8_t> Contrast::apply(const uint8_t *rgba8, const size_t width,
-                                const size_t height, const float weight) {
-  LOGI(TAG, "[apply] weight: %.2f", weight);
-  if (weight == 0) {
-    // shortcut
-    return vector<uint8_t>(rgba8, rgba8 + width * height * 4);
-  }
-
-  const float mul = weight >= 0 ? weight + 1 : (weight + 1) * .4f + .6f;
-  const auto lut = buildLut(mul);
-  vector<uint8_t> output(width * height * 4);
-#pragma omp parallel for
-  for (size_t i = 0; i < width * height; ++i) {
-    const auto p = i * 4;
-    output[p + 0] = lut[rgba8[p + 0]];
-    output[p + 1] = lut[rgba8[p + 1]];
-    output[p + 2] = lut[rgba8[p + 2]];
-    output[p + 3] = rgba8[p + 3];
-  }
-  return output;
-}
-
-vector<uint8_t> buildLut(const float mul) {
-  vector<uint8_t> product(256);
-#pragma omp parallel for
-  for (size_t i = 0; i < 256; ++i) {
-    product[i] = applySingle(i, mul);
-  }
-  return product;
-}
-
-} // namespace

plugin/android/src/main/cpp/filter/saturation.cpp

@@ -1,18 +1,12 @@
-#include <cmath>
 #include <cstdint>
-#include <cstring>
 #include <exception>
 #include <jni.h>
-#include <memory>
-#include <vector>
 
+#include "../core/filter/filters.h"
 #include "../exception.h"
-#include "../log.h"
-#include "../math_util.h"
 #include "../util.h"
-#include "./hslhsv.h"
-#include "./saturation.h"
 
+using namespace core;
 using namespace plugin;
 using namespace std;
 
@@ -27,7 +21,7 @@ Java_com_nkming_nc_1photos_plugin_image_1processor_Saturation_applyNative(
         [&](jbyte *obj) {
           env->ReleaseByteArrayElements(rgba8, obj, JNI_ABORT);
         });
-    const auto result = filter::Saturation().apply(
+    const auto result = filter::applySaturation(
         reinterpret_cast<uint8_t *>(cRgba8.get()), width, height, value);
     auto resultAry = env->NewByteArray(result.size());
     env->SetByteArrayRegion(resultAry, 0, result.size(),
@@ -38,30 +32,3 @@ Java_com_nkming_nc_1photos_plugin_image_1processor_Saturation_applyNative(
     return nullptr;
   }
 }
-
-namespace plugin {
-namespace filter {
-
-vector<uint8_t> Saturation::apply(const uint8_t *rgba8, const size_t width,
-                                  const size_t height, const float weight) {
-  LOGI(TAG, "[apply] weight: %.2f", weight);
-  if (weight == 0) {
-    // shortcut
-    return vector<uint8_t>(rgba8, rgba8 + width * height * 4);
-  }
-
-  vector<uint8_t> output(width * height * 4);
-#pragma omp parallel for
-  for (size_t i = 0; i < width * height; ++i) {
-    const auto p = i * 4;
-    auto hsl = filter::rgb8ToHsl(rgba8 + p);
-    hsl[1] = clamp(0.f, hsl[1] * (1 + weight), 1.f);
-    const auto &newRgb = filter::hslToRgb8(hsl.data());
-    memcpy(output.data() + p, newRgb.data(), 3);
-    output[p + 3] = rgba8[p + 3];
-  }
-  return output;
-}
-
-} // namespace
-}

plugin/android/src/main/cpp/filter/tint.cpp

@@ -1,31 +1,15 @@
 #include <cstdint>
-#include <cstring>
 #include <exception>
 #include <jni.h>
-#include <vector>
 
+#include "../core/filter/filters.h"
 #include "../exception.h"
-#include "../log.h"
-#include "../math_util.h"
 #include "../util.h"
-#include "./yuv.h"
 
+using namespace core;
 using namespace plugin;
 using namespace std;
 
-namespace {
-
-class Tint {
-public:
-  std::vector<uint8_t> apply(const uint8_t *rgba8, const size_t width,
-                             const size_t height, const float weight);
-
-private:
-  static constexpr const char *TAG = "Tint";
-};
-
-} // namespace
-
 extern "C" JNIEXPORT jbyteArray JNICALL
 Java_com_nkming_nc_1photos_plugin_image_1processor_Tint_applyNative(
     JNIEnv *env, jobject *thiz, jbyteArray rgba8, jint width, jint height,
@@ -37,8 +21,8 @@ Java_com_nkming_nc_1photos_plugin_image_1processor_Tint_applyNative(
         [&](jbyte *obj) {
           env->ReleaseByteArrayElements(rgba8, obj, JNI_ABORT);
         });
-    const auto result = Tint().apply(reinterpret_cast<uint8_t *>(cRgba8.get()),
-                                     width, height, weight);
+    const auto result = filter::applyTint(
+        reinterpret_cast<uint8_t *>(cRgba8.get()), width, height, weight);
     auto resultAry = env->NewByteArray(result.size());
     env->SetByteArrayRegion(resultAry, 0, result.size(),
                             reinterpret_cast<const int8_t *>(result.data()));
@@ -48,30 +32,3 @@ Java_com_nkming_nc_1photos_plugin_image_1processor_Tint_applyNative(
     return nullptr;
   }
 }
-
-namespace {
-
-vector<uint8_t> Tint::apply(const uint8_t *rgba8, const size_t width,
-                            const size_t height, const float weight) {
-  LOGI(TAG, "[apply] weight: %.2f", weight);
-  if (weight == 0) {
-    // shortcut
-    return vector<uint8_t>(rgba8, rgba8 + width * height * 4);
-  }
-
-  vector<uint8_t> output(width * height * 4);
-#pragma omp parallel for
-  for (size_t i = 0; i < width * height; ++i) {
-    const auto p = i * 4;
-    auto yuv = filter::rgb8ToYuv(rgba8 + p);
-    // +-0.1
-    yuv[1] = clamp(0.f, yuv[1] + 0.1f * weight, 1.f);
-    yuv[2] = clamp(0.f, yuv[2] + 0.1f * weight, 1.f);
-    const auto &newRgb = filter::yuvToRgb8(yuv.data());
-    memcpy(output.data() + p, newRgb.data(), 3);
-    output[p + 3] = rgba8[p + 3];
-  }
-  return output;
-}
-
-} // namespace

plugin/android/src/main/cpp/filter/warmth.cpp

@@ -1,40 +1,15 @@
-#include <cmath>
 #include <cstdint>
 #include <exception>
 #include <jni.h>
-#include <memory>
-#include <vector>
 
+#include "../core/filter/filters.h"
 #include "../exception.h"
-#include "../log.h"
 #include "../util.h"
-#include "./curve.h"
 
+using namespace core;
 using namespace plugin;
 using namespace std;
 
-namespace {
-
-class Warmth {
-public:
-  std::vector<uint8_t> apply(const uint8_t *rgba8, const size_t width,
-                             const size_t height, const float weight);
-
-private:
-  static filter::Curve getRCurve(const float weight);
-  static unique_ptr<filter::Curve> getGCurve(const float weight);
-  static filter::Curve getBCurve(const float weight);
-
-  static constexpr const char *TAG = "Warmth";
-};
-
-inline uint8_t weighted(const uint8_t from, const uint8_t to,
-                        const float weight) {
-  return (to - from) * weight + from;
-}
-
-} // namespace
-
 extern "C" JNIEXPORT jbyteArray JNICALL
 Java_com_nkming_nc_1photos_plugin_image_1processor_Warmth_applyNative(
     JNIEnv *env, jobject *thiz, jbyteArray rgba8, jint width, jint height,
@@ -46,7 +21,7 @@ Java_com_nkming_nc_1photos_plugin_image_1processor_Warmth_applyNative(
         [&](jbyte *obj) {
           env->ReleaseByteArrayElements(rgba8, obj, JNI_ABORT);
         });
-    const auto result = Warmth().apply(
+    const auto result = filter::applyWarmth(
         reinterpret_cast<uint8_t *>(cRgba8.get()), width, height, weight);
     auto resultAry = env->NewByteArray(result.size());
     env->SetByteArrayRegion(resultAry, 0, result.size(),
@@ -57,62 +32,3 @@ Java_com_nkming_nc_1photos_plugin_image_1processor_Warmth_applyNative(
     return nullptr;
   }
 }
-
-namespace {
-
-vector<uint8_t> Warmth::apply(const uint8_t *rgba8, const size_t width,
-                              const size_t height, const float weight) {
-  LOGI(TAG, "[apply] weight: %.2f", weight);
-  if (weight == 0) {
-    // shortcut
-    return vector<uint8_t>(rgba8, rgba8 + width * height * 4);
-  }
-  const auto rCurve = getRCurve(weight);
-  const auto gCurve = getGCurve(weight);
-  const auto bCurve = getBCurve(weight);
-
-  vector<uint8_t> output(width * height * 4);
-#pragma omp parallel for
-  for (size_t i = 0; i < width * height; ++i) {
-    const auto p = i * 4;
-    output[p + 0] = rCurve.fit(rgba8[p + 0]);
-    output[p + 1] = gCurve ? gCurve->fit(rgba8[p + 1]) : rgba8[p + 1];
-    output[p + 2] = bCurve.fit(rgba8[p + 2]);
-    output[p + 3] = rgba8[p + 3];
-  }
-  return output;
-}
-
-filter::Curve Warmth::getRCurve(const float weight) {
-  if (weight >= 0) {
-    return filter::Curve({0, 78, 195, 255}, {0, weighted(78, 100, weight),
-                                             weighted(195, 220, weight), 255});
-  } else {
-    return filter::Curve({0, 95, 220, 255},
-                         {0, weighted(95, 60, std::abs(weight)),
-                          weighted(220, 185, std::abs(weight)), 255});
-  }
-}
-
-unique_ptr<filter::Curve> Warmth::getGCurve(const float weight) {
-  if (weight >= 0) {
-    return make_unique<filter::Curve>(
-        vector<uint8_t>{0, 135, 255},
-        vector<uint8_t>{0, weighted(135, 125, weight), 255});
-  } else {
-    return nullptr;
-  }
-}
-
-filter::Curve Warmth::getBCurve(const float weight) {
-  if (weight >= 0) {
-    return filter::Curve({0, 95, 220, 255}, {0, weighted(95, 60, weight),
-                                             weighted(220, 185, weight), 255});
-  } else {
-    return filter::Curve({0, 78, 195, 255},
-                         {0, weighted(78, 100, std::abs(weight)),
-                          weighted(195, 220, std::abs(weight)), 255});
-  }
-}
-
-} // namespace

plugin/android/src/main/cpp/zero_dce.cpp

@@ -1,9 +1,3 @@
-#include "exception.h"
-#include "lib/base_resample.h"
-#include "log.h"
-#include "stopwatch.h"
-#include "tflite_wrapper.h"
-#include "util.h"
 #include <algorithm>
 #include <android/asset_manager.h>
 #include <android/asset_manager_jni.h>
@@ -12,6 +6,13 @@
 #include <jni.h>
 #include <tensorflow/lite/c/c_api.h>
 
+#include "core/lib/base_resample.h"
+#include "exception.h"
+#include "log.h"
+#include "stopwatch.h"
+#include "tflite_wrapper.h"
+#include "util.h"
+
 using namespace plugin;
 using namespace std;
 using namespace tflite;