silly
parent
cf579eda46
commit
d20c23f854
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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 0.0.9)
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project(image-gp-6 VERSION 0.0.10)
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include(FetchContent)
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@ -1 +1 @@
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Subproject commit 9ff86161bb7caddbd6ac942c4373465a8af573aa
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Subproject commit c7bb4a434b25d3c918cc7908e0b527aa0101b73d
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93
src/main.cpp
93
src/main.cpp
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@ -142,94 +142,117 @@ blt::gp::operation_t pro_div([](const full_image_t& a, const full_image_t& b) {
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blt::gp::operation_t op_sin([](const full_image_t& a) {
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full_image_t img{};
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for (blt::size_t i = 0; i < DATA_CHANNELS_SIZE; i++)
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img.rgb_data[i] = static_cast<blt::u8>(std::sin(static_cast<float>(a.rgb_data[i]) / 255.0f) * 255.0f);
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img.rgb_data[i] = std::sin(a.rgb_data[i]);
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return img;
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}, "sin");
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blt::gp::operation_t op_cos([](const full_image_t& a) {
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full_image_t img{};
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for (blt::size_t i = 0; i < DATA_CHANNELS_SIZE; i++)
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img.rgb_data[i] = static_cast<blt::u8>(std::cos(static_cast<float>(a.rgb_data[i]) / 255.0f) * 255.0f);
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img.rgb_data[i] = std::cos(a.rgb_data[i]);
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return img;
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}, "cos");
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blt::gp::operation_t op_exp([](const full_image_t& a) {
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full_image_t img{};
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for (blt::size_t i = 0; i < DATA_CHANNELS_SIZE; i++)
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img.rgb_data[i] = static_cast<blt::u8>(std::exp(static_cast<float>(a.rgb_data[i]) / 255.0f));
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img.rgb_data[i] = std::exp(a.rgb_data[i]);
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return img;
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}, "exp");
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blt::gp::operation_t op_log([](const full_image_t& a) {
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full_image_t img{};
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for (blt::size_t i = 0; i < DATA_CHANNELS_SIZE; i++)
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img.rgb_data[i] = static_cast<blt::u8>(std::log(a.rgb_data[i] == 0 ? 1 : a.rgb_data[i]) * 255.0f);
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img.rgb_data[i] = a.rgb_data[i] == 0 ? 0 : std::log(a.rgb_data[i]);
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return img;
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}, "log");
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blt::gp::operation_t op_v_mod([](const full_image_t& a, const full_image_t& b) {
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full_image_t img{};
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for (blt::size_t i = 0; i < DATA_CHANNELS_SIZE; i++)
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img.rgb_data[i] = a.rgb_data[i] <= 0 ? 0 : a.rgb_data[i] % b.rgb_data[i];
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img.rgb_data[i] = b.rgb_data[i] <= 0 ? 0 : static_cast<float>(blt::mem::type_cast<unsigned int>(a.rgb_data[i]) %
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blt::mem::type_cast<unsigned int>(b.rgb_data[i]));
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return img;
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}, "v_mod");
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blt::gp::operation_t bitwise_and([](const full_image_t& a, const full_image_t& b) {
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using blt::mem::type_cast;
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full_image_t img{};
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for (blt::size_t i = 0; i < DATA_CHANNELS_SIZE; i++)
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img.rgb_data[i] = (a.rgb_data[i] & b.rgb_data[i]);
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img.rgb_data[i] = static_cast<float>(type_cast<unsigned int>(a.rgb_data[i]) & type_cast<unsigned int>(b.rgb_data[i]));
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return img;
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}, "and");
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blt::gp::operation_t bitwise_or([](const full_image_t& a, const full_image_t& b) {
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using blt::mem::type_cast;
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full_image_t img{};
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for (blt::size_t i = 0; i < DATA_CHANNELS_SIZE; i++)
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img.rgb_data[i] = (a.rgb_data[i] | b.rgb_data[i]);
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img.rgb_data[i] = static_cast<float>(type_cast<unsigned int>(a.rgb_data[i]) | type_cast<unsigned int>(b.rgb_data[i]));
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return img;
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}, "or");
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blt::gp::operation_t bitwise_xor([](const full_image_t& a, const full_image_t& b) {
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using blt::mem::type_cast;
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full_image_t img{};
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for (blt::size_t i = 0; i < DATA_CHANNELS_SIZE; i++)
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img.rgb_data[i] = (a.rgb_data[i] ^ b.rgb_data[i]);
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img.rgb_data[i] = static_cast<float>(type_cast<unsigned int>(a.rgb_data[i]) ^ type_cast<unsigned int>(b.rgb_data[i]));
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return img;
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}, "xor");
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blt::gp::operation_t lit([&program]() {
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blt::gp::operation_t lit([]() {
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full_image_t img{};
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for (unsigned char& i : img.rgb_data)
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i = static_cast<blt::u8>(program.get_random().get_u32(0, 256.0));
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for (auto& i : img.rgb_data)
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i = program.get_random().get_float(0.0f, 1.0f);
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return img;
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}, "lit");
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blt::gp::operation_t random_val([&program]() {
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blt::gp::operation_t random_val([]() {
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full_image_t img{};
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for (unsigned char& i : img.rgb_data)
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i = static_cast<blt::u8>(program.get_random().get_u32(0, 256.0));
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for (auto& i : img.rgb_data)
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i = program.get_random().get_float(0.0f, 1.0f);
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return img;
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}, "random");
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static blt::gp::operation_t perlin_terminal([](const context& context) {
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static blt::gp::operation_t perlin_terminal([]() {
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full_image_t img{};
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for (unsigned char& i : img.rgb_data)
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i = static_cast<blt::u8>(program.get_random().get_u32(0, 256.0));
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for (blt::size_t i = 0; i < DATA_SIZE; i++)
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{
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auto ctx = get_ctx(i);
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img.rgb_data[i * CHANNELS] = img.rgb_data[i * CHANNELS + 1] = img.rgb_data[i * CHANNELS + 2] = stb_perlin_noise3(ctx.x / IMAGE_SIZE,
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ctx.y / IMAGE_SIZE, 0.532, 0,
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0, 0);
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}
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return img;
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return;
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}, "perlin_term");
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static blt::gp::operation_t op_x([](const context& context) {
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return context.x;
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static blt::gp::operation_t op_x([]() {
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full_image_t img{};
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for (blt::size_t i = 0; i < DATA_SIZE; i++)
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{
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auto ctx = get_ctx(i).x;
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img.rgb_data[i * CHANNELS] = ctx;
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img.rgb_data[i * CHANNELS + 1] = ctx;
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img.rgb_data[i * CHANNELS + 2] = ctx;
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}
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return img;
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}, "x");
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static blt::gp::operation_t op_y([](const context& context) {
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return context.y;
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static blt::gp::operation_t op_y([]() {
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full_image_t img{};
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for (blt::size_t i = 0; i < DATA_SIZE; i++)
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{
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auto ctx = get_ctx(i).y;
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img.rgb_data[i * CHANNELS] = ctx;
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img.rgb_data[i * CHANNELS + 1] = ctx;
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img.rgb_data[i * CHANNELS + 2] = ctx;
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}
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return img;
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}, "y");
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constexpr auto create_fitness_function()
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{
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return [](blt::gp::tree_t& current_tree, blt::gp::fitness_t& fitness, blt::size_t index) {
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auto& v = generation_images[index];
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v = current_tree.get_evaluation_value<full_image_t>(nullptr);
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fitness.raw_fitness = 0;
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for (blt::size_t i = 0; i < DATA_SIZE; i++)
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for (blt::size_t i = 0; i < DATA_CHANNELS_SIZE; i++)
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{
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context ctx = get_ctx(i);
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auto base = base_data.rgb_data[i * CHANNELS];
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auto set = static_cast<blt::u8>(current_tree.get_evaluation_value<float>(&ctx) * 255);
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v.rgb_data[i * CHANNELS + channel] = set;
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auto diff = static_cast<float>(set - base);
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fitness.raw_fitness += std::sqrt(diff * diff);
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auto base = base_image.rgb_data[i];
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auto dist = v.rgb_data[i] - base;
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fitness.raw_fitness += std::sqrt(dist * dist);
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}
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//BLT_TRACE("Raw fitness: %lf for %ld", fitness.raw_fitness, index);
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builder.add_operator(op_exp);
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builder.add_operator(op_log);
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builder.add_operator(op_v_mod);
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builder.add_operator(bw_raw_and);
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builder.add_operator(bw_raw_or);
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builder.add_operator(bw_raw_xor);
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builder.add_operator(bitwise_and);
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builder.add_operator(bitwise_or);
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builder.add_operator(bitwise_xor);
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builder.add_operator(lit, true);
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builder.add_operator(random);
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builder.add_operator(random_val);
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builder.add_operator(op_x);
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builder.add_operator(op_y);
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BLT_DEBUG("Generate Initial Population");
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static constexpr auto fitness_func = create_fitness_function();
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program.generate_population(type_system.get_type<float>().id(), fitness_func, true);
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program.generate_population(type_system.get_type<full_image_t>().id(), fitness_func, true);
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global_matrices.create_internals();
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resources.load_resources();
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global_matrices.update_perspectives(data.width, data.height, 90, 0.1, 2000);
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for (blt::size_t i = 0; i < config.population_size; i++)
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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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resources.get(std::to_string(i)).value()->upload(generation_images[i].rgb_data, IMAGE_SIZE, IMAGE_SIZE, GL_RGB, GL_FLOAT);
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ImGui::SetNextWindowSize(ImVec2(350, 512), ImGuiCond_Once);
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if (ImGui::Begin("Program Control"))
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1094
src/main_old.cpp
1094
src/main_old.cpp
File diff suppressed because it is too large
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