#pragma once /* * Copyright (C) 2024 Brett Terpstra * * This program is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * This program is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with this program. If not, see . */ #ifndef COSC_4P80_ASSIGNMENT_3_UI_H #define COSC_4P80_ASSIGNMENT_3_UI_H #include #include "blt/gfx/renderer/batch_2d_renderer.h" #include "blt/gfx/renderer/font_renderer.h" #include #include #include namespace assign3 { class renderer_t; struct neuron_render_info_t { blt::vec2 base_pos; blt::vec2 neuron_padding; float neuron_scale = 0; static neuron_render_info_t fill_screen(renderer_t& renderer, float neuron_scale = 35, float x_padding = 250, float y_padding = 50, float w_padding = 50, float h_padding = 50); BLT_LVALUE_SETTER(blt::vec2, base_pos); BLT_LVALUE_SETTER(blt::vec2, neuron_padding); BLT_PRVALUE_SETTER(float, neuron_scale); }; class motor_data_t { public: std::vector files; std::vector map_files_names; void update(); }; struct render_data_t { blt::size_t index; const neuron_t& neuron; blt::vec2 neuron_scaled; blt::vec2 neuron_offset; blt::vec2 neuron_padded; render_data_t(size_t index, const neuron_t& neuron, const blt::vec2& neuronScaled, const blt::vec2& neuronOffset, const blt::vec2& neuronPadded): index(index), neuron(neuron), neuron_scaled(neuronScaled), neuron_offset(neuronOffset), neuron_padded(neuronPadded) {} }; class renderer_t { friend motor_data_t; friend neuron_render_info_t; public: explicit renderer_t(motor_data_t& data, blt::gfx::resource_manager& resources, blt::gfx::matrix_state_manager& state): motor_data(data), br2d{resources, state} {} void create(); void cleanup(); void draw_som(neuron_render_info_t info, const std::function& color_func); void draw_debug(const data_file_t& file); void render(); void regenerate_network() { switch (static_cast(selected_som_mode)) { case shape_t::GRID: distance_function = std::make_unique(); break; case shape_t::GRID_WRAP: distance_function = std::make_unique(som_width, som_height); break; case shape_t::GRID_OFFSET: distance_function = std::make_unique(); break; case shape_t::GRID_OFFSET_WRAP: distance_function = std::make_unique(som_width, som_height); break; } som = std::make_unique(motor_data.files[currently_selected_network], som_width, som_height, max_epochs, distance_function.get(), topology_function.get(), static_cast(selected_som_mode), static_cast(selected_init_type), normalize_init); som->compute_neuron_activations(); } private: motor_data_t& motor_data; std::unique_ptr som; std::unique_ptr topology_function; std::unique_ptr distance_function; blt::gfx::font_renderer_t fr2d{}; blt::gfx::batch_renderer_2d br2d; blt::i32 som_width = 5; blt::i32 som_height = 5; blt::i32 max_epochs = 2000; Scalar initial_learn_rate = 1; int currently_selected_network = 0; int selected_som_mode = 0; int selected_init_type = 0; bool normalize_init = false; bool debug_mode = false; bool draw_colors = true; bool draw_data_lines = false; bool running = false; int debug_state = 0; int selected_data_point = 0; int selected_neuron = 0; float requested_activation = 0.5; float at_distance_measurement = 2; }; } #endif //COSC_4P80_ASSIGNMENT_3_UI_H