94 lines
2.7 KiB
C
94 lines
2.7 KiB
C
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#pragma once
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/*
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* Copyright (C) 2024 Brett Terpstra
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*
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* This program is free software: you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program. If not, see <https://www.gnu.org/licenses/>.
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*/
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#ifndef COSC_4P80_ASSIGNMENT_3_UI_H
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#define COSC_4P80_ASSIGNMENT_3_UI_H
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#include "blt/gfx/renderer/batch_2d_renderer.h"
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#include "blt/gfx/renderer/font_renderer.h"
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#include <assign3/file.h>
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#include <assign3/som.h>
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#include <functional>
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namespace assign3
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{
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struct render_info_t
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{
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blt::vec2 base_pos;
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blt::vec2 neuron_padding;
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float neuron_scale = 0;
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};
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class motor_data_t
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{
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public:
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std::vector<data_file_t> files;
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std::vector<std::string> map_files_names;
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void update();
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};
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class renderer_t
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{
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friend motor_data_t;
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public:
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explicit renderer_t(motor_data_t& data, blt::gfx::resource_manager& resources, blt::gfx::matrix_state_manager& state):
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motor_data(data), br2d{resources, state}
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{}
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void create();
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void cleanup();
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void draw_som(const std::function<blt::vec4(neuron_t&)>& color_func, bool debug);
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void render();
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void update_graphics();
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void generate_network(int selection)
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{
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som = std::make_unique<som_t>(motor_data.files[selection].normalize(), som_width, som_height, max_epochs);
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}
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private:
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motor_data_t& motor_data;
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std::unique_ptr<som_t> som;
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std::unique_ptr<topology_function_t> topology_function;
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blt::gfx::font_renderer_t fr2d{};
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blt::gfx::batch_renderer_2d br2d;
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float draw_width = 0;
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float draw_height = 0;
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float neuron_scale = 35;
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blt::size_t som_width = 5;
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blt::size_t som_height = 5;
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blt::size_t max_epochs = 100;
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Scalar initial_learn_rate = 0.1;
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int currently_selected_network = 0;
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};
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}
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#endif //COSC_4P80_ASSIGNMENT_3_UI_H
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