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/* SPDX-License-Identifier: GPL-2.0-or-later
* Copyright 2006 Blender Foundation. All rights reserved. */
/** \file
* \ingroup cmpnodes
*/
#include <cmath>
#include "BLI_assert.h"
#include "BLI_math_vec_types.hh"
#include "BLI_math_vector.hh"
#include "UI_interface.h"
#include "UI_resources.h"
#include "IMB_colormanagement.h"
#include "COM_algorithm_parallel_reduction.hh"
#include "COM_node_operation.hh"
#include "node_composite_util.hh"
/* **************** LEVELS ******************** */
namespace blender::nodes::node_composite_levels_cc {
static void cmp_node_levels_declare(NodeDeclarationBuilder &b)
{
b.add_input<decl::Color>(N_("Image"))
.default_value({0.0f, 0.0f, 0.0f, 1.0f})
.compositor_domain_priority(0);
b.add_output<decl::Float>(N_("Mean"));
b.add_output<decl::Float>(N_("Std Dev"));
}
static void node_composit_init_view_levels(bNodeTree * /*ntree*/, bNode *node)
{
node->custom1 = 1; /* All channels. */
}
static void node_composit_buts_view_levels(uiLayout *layout, bContext * /*C*/, PointerRNA *ptr)
{
uiItemR(layout, ptr, "channel", UI_ITEM_R_SPLIT_EMPTY_NAME, "", ICON_NONE);
}
using namespace blender::realtime_compositor;
class LevelsOperation : public NodeOperation {
private:
constexpr static float luminance_coefficients_bt709_[3] = {0.2126f, 0.7152f, 0.0722f};
public:
using NodeOperation::NodeOperation;
void execute() override
{
if (get_input("Image").is_single_value()) {
execute_single_value();
return;
}
const float mean = compute_mean();
Result &mean_result = get_result("Mean");
if (mean_result.should_compute()) {
mean_result.allocate_single_value();
mean_result.set_float_value(mean);
}
Result &standard_deviation_result = get_result("Std Dev");
if (standard_deviation_result.should_compute()) {
const float standard_deviation = compute_standard_deviation(mean);
standard_deviation_result.allocate_single_value();
standard_deviation_result.set_float_value(standard_deviation);
}
}
void execute_single_value()
{
Result &standard_deviation_result = get_result("Std Dev");
if (standard_deviation_result.should_compute()) {
standard_deviation_result.allocate_single_value();
standard_deviation_result.set_float_value(0.0f);
}
Result &mean_result = get_result("Mean");
if (!mean_result.should_compute()) {
return;
}
mean_result.allocate_single_value();
const float3 input = float3(get_input("Image").get_color_value());
switch (get_channel()) {
case CMP_NODE_LEVLES_RED:
mean_result.set_float_value(input.x);
break;
case CMP_NODE_LEVLES_GREEN:
mean_result.set_float_value(input.y);
break;
case CMP_NODE_LEVLES_BLUE:
mean_result.set_float_value(input.z);
break;
case CMP_NODE_LEVLES_LUMINANCE_BT709:
mean_result.set_float_value(math::dot(input, float3(luminance_coefficients_bt709_)));
break;
case CMP_NODE_LEVLES_LUMINANCE: {
float luminance_coefficients[3];
IMB_colormanagement_get_luminance_coefficients(luminance_coefficients);
mean_result.set_float_value(math::dot(input, float3(luminance_coefficients)));
break;
}
default:
BLI_assert_unreachable();
break;
}
}
float compute_mean()
{
const Result &input = get_input("Image");
return compute_sum() / (input.domain().size.x * input.domain().size.y);
}
float compute_sum()
{
const Result &input = get_input("Image");
switch (get_channel()) {
case CMP_NODE_LEVLES_RED:
return sum_red(context(), input.texture());
case CMP_NODE_LEVLES_GREEN:
return sum_green(context(), input.texture());
case CMP_NODE_LEVLES_BLUE:
return sum_blue(context(), input.texture());
case CMP_NODE_LEVLES_LUMINANCE_BT709:
return sum_luminance(context(), input.texture(), float3(luminance_coefficients_bt709_));
case CMP_NODE_LEVLES_LUMINANCE: {
float luminance_coefficients[3];
IMB_colormanagement_get_luminance_coefficients(luminance_coefficients);
return sum_luminance(context(), input.texture(), float3(luminance_coefficients));
}
default:
BLI_assert_unreachable();
return 0.0f;
}
}
float compute_standard_deviation(float mean)
{
const Result &input = get_input("Image");
const float sum = compute_sum_squared_difference(mean);
return std::sqrt(sum / (input.domain().size.x * input.domain().size.y));
}
float compute_sum_squared_difference(float subtrahend)
{
const Result &input = get_input("Image");
switch (get_channel()) {
case CMP_NODE_LEVLES_RED:
return sum_red_squared_difference(context(), input.texture(), subtrahend);
case CMP_NODE_LEVLES_GREEN:
return sum_green_squared_difference(context(), input.texture(), subtrahend);
case CMP_NODE_LEVLES_BLUE:
return sum_blue_squared_difference(context(), input.texture(), subtrahend);
case CMP_NODE_LEVLES_LUMINANCE_BT709:
return sum_luminance_squared_difference(
context(), input.texture(), float3(luminance_coefficients_bt709_), subtrahend);
case CMP_NODE_LEVLES_LUMINANCE: {
float luminance_coefficients[3];
IMB_colormanagement_get_luminance_coefficients(luminance_coefficients);
return sum_luminance_squared_difference(
context(), input.texture(), float3(luminance_coefficients), subtrahend);
}
default:
BLI_assert_unreachable();
return 0.0f;
}
}
CMPNodeLevelsChannel get_channel()
{
return static_cast<CMPNodeLevelsChannel>(bnode().custom1);
}
};
static NodeOperation *get_compositor_operation(Context &context, DNode node)
{
return new LevelsOperation(context, node);
}
} // namespace blender::nodes::node_composite_levels_cc
void register_node_type_cmp_view_levels()
{
namespace file_ns = blender::nodes::node_composite_levels_cc;
static bNodeType ntype;
cmp_node_type_base(&ntype, CMP_NODE_VIEW_LEVELS, "Levels", NODE_CLASS_OUTPUT);
ntype.declare = file_ns::cmp_node_levels_declare;
ntype.draw_buttons = file_ns::node_composit_buts_view_levels;
ntype.flag |= NODE_PREVIEW;
ntype.initfunc = file_ns::node_composit_init_view_levels;
ntype.get_compositor_operation = file_ns::get_compositor_operation;
nodeRegisterType(&ntype);
}
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