147 lines
5.3 KiB
C++
147 lines
5.3 KiB
C++
#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/meta/codegen.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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class renderer_t;
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struct neuron_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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static neuron_render_info_t fill_screen(renderer_t& renderer, float neuron_scale = 35, float x_padding = 250, float y_padding = 50,
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float w_padding = 50, float h_padding = 50);
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BLT_LVALUE_SETTER(blt::vec2, base_pos);
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BLT_LVALUE_SETTER(blt::vec2, neuron_padding);
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BLT_PRVALUE_SETTER(float, neuron_scale);
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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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struct render_data_t
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{
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blt::size_t index;
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const neuron_t& neuron;
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blt::vec2 neuron_scaled;
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blt::vec2 neuron_offset;
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blt::vec2 neuron_padded;
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render_data_t(size_t index, const neuron_t& neuron, const blt::vec2& neuronScaled, const blt::vec2& neuronOffset,
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const blt::vec2& neuronPadded):
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index(index), neuron(neuron), neuron_scaled(neuronScaled), neuron_offset(neuronOffset), neuron_padded(neuronPadded)
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{}
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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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friend neuron_render_info_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(neuron_render_info_t info, const std::function<blt::vec4(render_data_t)>& color_func);
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void draw_debug(const data_file_t& file);
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void render();
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void regenerate_network()
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{
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switch (static_cast<shape_t>(selected_som_mode))
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{
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case shape_t::GRID:
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distance_function = std::make_unique<euclidean_distance_function_t>();
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break;
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case shape_t::GRID_WRAP:
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distance_function = std::make_unique<toroidal_euclidean_distance_function_t>(som_width, som_height);
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break;
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case shape_t::GRID_OFFSET:
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distance_function = std::make_unique<axial_distance_function_t>();
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break;
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case shape_t::GRID_OFFSET_WRAP:
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distance_function = std::make_unique<toroidal_axial_distance_function_t>(som_width, som_height);
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break;
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}
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som = std::make_unique<som_t>(motor_data.files[currently_selected_network], som_width, som_height, max_epochs,
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distance_function.get(), topology_function.get(), static_cast<shape_t>(selected_som_mode),
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static_cast<init_t>(selected_init_type), normalize_init);
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som->compute_neuron_activations();
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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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std::unique_ptr<distance_function_t> distance_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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blt::i32 som_width = 5;
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blt::i32 som_height = 5;
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blt::i32 max_epochs = 2000;
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Scalar initial_learn_rate = 1;
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int currently_selected_network = 0;
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int selected_som_mode = 0;
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int selected_init_type = 0;
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bool normalize_init = false;
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bool debug_mode = false;
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bool draw_colors = true;
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bool draw_data_lines = false;
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bool running = false;
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int debug_state = 0;
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int selected_data_point = 0;
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int selected_neuron = 0;
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float requested_activation = 0.5;
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float at_distance_measurement = 2;
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};
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}
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#endif //COSC_4P80_ASSIGNMENT_3_UI_H
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