select an image!
parent
096c87cbf5
commit
0d1effe0f9
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@ -2,6 +2,14 @@
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<project version="4">
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<component name="VcsDirectoryMappings">
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<mapping directory="" vcs="Git" />
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<mapping directory="$PROJECT_DIR$/lib/ThreatExchange" vcs="Git" />
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<mapping directory="$PROJECT_DIR$/lib/blt-gp" vcs="Git" />
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<mapping directory="$PROJECT_DIR$/lib/blt-gp/lib/blt" vcs="Git" />
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<mapping directory="$PROJECT_DIR$/lib/blt-gp/lib/blt/libraries/parallel-hashmap" vcs="Git" />
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<mapping directory="$PROJECT_DIR$/lib/blt-graphics" vcs="Git" />
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<mapping directory="$PROJECT_DIR$/lib/blt-graphics/libraries/BLT" vcs="Git" />
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<mapping directory="$PROJECT_DIR$/lib/blt-graphics/libraries/imgui" vcs="Git" />
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<mapping directory="$PROJECT_DIR$/lib/blt-graphics/libraries/openal-soft" vcs="Git" />
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<mapping directory="$PROJECT_DIR$/lib/stb" vcs="Git" />
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</component>
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</project>
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@ -1,5 +1,5 @@
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cmake_minimum_required(VERSION 3.25)
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project(image-gp-6 VERSION 0.0.5)
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project(image-gp-6 VERSION 0.0.6)
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include(FetchContent)
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@ -1 +1 @@
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Subproject commit e25e1bfab3a50cb47902affe335c8e248e5867d3
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Subproject commit 2081dd3e5f19171ca171a1457930845c8b04361b
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@ -1 +1 @@
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Subproject commit 1470d8469d583f4a1b5aaf8916abbd4be2bba1ed
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Subproject commit 672e6b8b602dff917e0782bb98b7c6aa361e6945
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118
src/main.cpp
118
src/main.cpp
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@ -20,6 +20,7 @@
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#include <blt/gp/tree.h>
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#include <blt/std/logging.h>
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#include <blt/std/memory_util.h>
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#include <blt/std/hashmap.h>
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#include <stb_image.h>
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#include <stb_image_resize2.h>
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#include <stb_image_write.h>
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@ -28,6 +29,7 @@
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#include "blt/gfx/renderer/resource_manager.h"
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#include "blt/gfx/renderer/batch_2d_renderer.h"
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#include "blt/gfx/renderer/camera.h"
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#include "blt/gfx/raycast.h"
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#include <imgui.h>
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#include "opencv2/imgcodecs.hpp"
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#include "opencv2/imgproc.hpp"
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@ -35,6 +37,8 @@
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static const blt::u64 SEED = std::random_device()();
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static constexpr long IMAGE_SIZE = 128;
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static constexpr long IMAGE_PADDING = 16;
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static constexpr long POP_SIZE = 9;
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static constexpr blt::size_t CHANNELS = 3;
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static constexpr blt::size_t DATA_SIZE = IMAGE_SIZE * IMAGE_SIZE;
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@ -48,11 +52,6 @@ struct context
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float x, y;
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};
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struct image_t
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{
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std::array<blt::u8, DATA_SIZE> gray_data;
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};
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struct full_image_t
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{
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std::array<blt::u8, DATA_SIZE * CHANNELS> rgb_data;
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@ -74,14 +73,13 @@ struct full_image_t
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};
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//
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//using fitness_data_t = std::array<image_t, 50>;
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//using fitness_data_t = std::array<image_t, POP_SIZE>;
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//
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//fitness_data_t fitness_red;
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//fitness_data_t fitness_green;
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//fitness_data_t fitness_blue;
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std::array<double, 64> fitness_values;
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std::array<full_image_t, 64> generation_images;
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std::vector<blt::gfx::texture_gl2D> gl_images;
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std::array<double, POP_SIZE> fitness_values;
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std::array<full_image_t, POP_SIZE> generation_images;
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full_image_t base_data;
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full_image_t found_data;
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@ -102,14 +100,18 @@ int channels[] = {0, 1, 2};
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cv::Mat base_image_hist;
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blt::size_t selected_image = 0;
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blt::size_t last_fitness = 0;
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blt::gp::prog_config_t config = blt::gp::prog_config_t()
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.set_initial_min_tree_size(2)
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.set_initial_max_tree_size(6)
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.set_elite_count(1)
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.set_max_generations(50)
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.set_mutation_chance(0.4)
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.set_crossover_chance(0.9)
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.set_pop_size(64)
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.set_mutation_chance(0.8)
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.set_crossover_chance(1.0)
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.set_reproduction_chance(0)
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.set_pop_size(POP_SIZE)
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.set_thread_count(0);
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blt::gp::type_provider type_system;
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@ -239,6 +241,15 @@ inline context get_ctx(blt::size_t i)
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return ctx;
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}
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inline context get_pop_ctx(blt::size_t i)
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{
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auto const sq = static_cast<float>(std::sqrt(POP_SIZE));
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context ctx{};
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ctx.y = std::floor(static_cast<float>(i) / static_cast<float>(sq));
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ctx.x = static_cast<float>(i) - (ctx.y * sq);
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return ctx;
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}
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constexpr auto create_fitness_function(blt::size_t channel)
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{
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return [channel](blt::gp::tree_t& current_tree, blt::gp::fitness_t& fitness, blt::size_t in) {
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@ -289,7 +300,8 @@ void execute_generation(blt::gp::gp_program& program)
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{
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BLT_TRACE("------------{Begin Generation %ld}------------", program.get_current_generation());
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BLT_START_INTERVAL("Image Test", "Gen");
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program.create_next_generation(blt::gp::select_tournament_t{}, blt::gp::select_tournament_t{}, blt::gp::select_tournament_t{});
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auto sel = blt::gp::select_tournament_t{};
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program.create_next_generation(sel, sel, sel, blt::gp::non_deterministic_next_pop_creator<decltype(sel), decltype(sel), decltype(sel)>);
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BLT_END_INTERVAL("Image Test", "Gen");
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BLT_TRACE("Move to next generation");
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BLT_START_INTERVAL("Image Test", "Fitness");
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@ -411,10 +423,7 @@ void init(const blt::gfx::window_data&)
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using namespace blt::gfx;
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for (blt::size_t i = 0; i < config.population_size; i++)
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{
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gl_images.emplace_back(IMAGE_SIZE, IMAGE_SIZE, GL_RGB8);
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resources.set(std::to_string(i), &gl_images.back());
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}
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resources.set(std::to_string(i), new texture_gl2D(IMAGE_SIZE, IMAGE_SIZE, GL_RGB8));
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BLT_INFO("Starting BLT-GP Image Test");
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BLT_INFO("Using Seed: %ld", SEED);
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@ -453,13 +462,10 @@ void update(const blt::gfx::window_data& data)
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{
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global_matrices.update_perspectives(data.width, data.height, 90, 0.1, 2000);
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camera.update();
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camera.update_view(global_matrices);
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global_matrices.update();
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for (blt::size_t i = 0; i < config.population_size; i++)
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gl_images[i].upload(generation_images[i].rgb_data.data(), IMAGE_SIZE, IMAGE_SIZE, GL_RGB);
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resources.get(std::to_string(i)).value()->upload(generation_images[i].rgb_data.data(), IMAGE_SIZE, IMAGE_SIZE, GL_RGB);
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ImGui::SetNextWindowSize(ImVec2(350, 512), ImGuiCond_Once);
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if (ImGui::Begin("Program Control"))
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{
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ImGui::Button("Run Generation");
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execute_generation(program_red);
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execute_generation(program_green);
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execute_generation(program_blue);
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for (auto& f : fitness_values)
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f = 0;
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last_fitness = 0;
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}
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ImGui::Button("Write Best");
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if (ImGui::IsItemClicked())
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write_results();
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ImGui::Text("Selected Image: %ld", selected_image);
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ImGui::InputDouble("Fitness Value", &fitness_values[selected_image], 1.0, 10);
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ImGui::End();
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}
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const auto mouse_pos = blt::make_vec2(blt::gfx::calculateRay2D(data.width, data.height, global_matrices.getScale2D(), global_matrices.getView2D(),
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global_matrices.getOrtho()));
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double max_fitness = 0;
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for (blt::size_t i = 0; i < config.population_size; i++) {
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if (fitness_values[i] > max_fitness)
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max_fitness = fitness_values[i];
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}
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for (blt::size_t i = 0; i < config.population_size; i++)
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{
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renderer_2d.drawRectangleInternal(std::to_string(i),
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{static_cast<float>(IMAGE_SIZE * i), static_cast<float>(IMAGE_SIZE * i), IMAGE_SIZE, IMAGE_SIZE});
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auto ctx = get_pop_ctx(i);
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float x = ctx.x * IMAGE_SIZE + ctx.x * IMAGE_PADDING;
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float y = ctx.y * IMAGE_SIZE + ctx.y * IMAGE_PADDING;
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auto pos = blt::vec2(x, y);
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auto dist = pos - mouse_pos;
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auto p_dist = blt::vec2(std::abs(dist.x()), std::abs(dist.y()));
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constexpr auto HALF_SIZE = IMAGE_SIZE / 2.0f;
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if (p_dist.x() < HALF_SIZE && p_dist.y() < HALF_SIZE)
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{
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renderer_2d.drawRectangleInternal(blt::make_color(0.9, 0.9, 0.3),
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{x, y, IMAGE_SIZE + IMAGE_PADDING / 2.0f, IMAGE_SIZE + IMAGE_PADDING / 2.0f},
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10.0f);
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auto& io = ImGui::GetIO();
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if (io.WantCaptureMouse)
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continue;
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if (blt::gfx::mousePressedLastFrame())
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{
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if (blt::gfx::isKeyPressed(GLFW_KEY_LEFT_SHIFT)){
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fitness_values[i] = static_cast<double>(last_fitness);
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if (blt::gfx::mousePressedLastFrame())
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last_fitness++;
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} else
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selected_image = i;
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}
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}
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renderer_2d.drawRectangleInternal(blt::make_vec4(blt::vec3(fitness_values[i] / max_fitness), 1.0),
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{x, y, IMAGE_SIZE + IMAGE_PADDING / 2.0f, IMAGE_SIZE + IMAGE_PADDING / 2.0f},
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5.0f);
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renderer_2d.drawRectangleInternal(blt::gfx::render_info_t::make_info(std::to_string(i)),
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{x, y, IMAGE_SIZE,
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IMAGE_SIZE}, 15.0f);
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}
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//BLT_TRACE("%f, %f", mouse_pos.x(), mouse_pos.y());
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camera.update();
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camera.update_view(global_matrices);
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global_matrices.update();
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renderer_2d.render(data.width, data.height);
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}
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int main()
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{
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blt::gfx::init(blt::gfx::window_data{"My Sexy Window", init, update}.setSyncInterval(1));
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blt::gfx::init(blt::gfx::window_data{"My Sexy Window", init, update, 1440, 720}.setSyncInterval(1));
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global_matrices.cleanup();
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resources.cleanup();
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renderer_2d.cleanup();
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BLT_END_INTERVAL("Image Test", "Main");
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write_results();
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base_data.save("input.png");
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// TODO: make stats helper
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BLT_PRINT_PROFILE("Image Test", blt::PRINT_CYCLES | blt::PRINT_THREAD | blt::PRINT_WALL);
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return 0;
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Reference in New Issue