Big code refactor, now the interface is easier to use
This commit is contained in:
Phuntsok Drak-pa
parent
4201e5476e
commit
cbad530d4a
@ -1,15 +0,0 @@
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#ifndef GENETIC_IMAGE_INCLUDE_GENIMG_COMMON_HH_
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#define GENETIC_IMAGE_INCLUDE_GENIMG_COMMON_HH_
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#include <opencv2/core/core.hpp>
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#include <opencv2/highgui/highgui.hpp>
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#include <spdlog/spdlog.h>
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#include <string>
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#include <utility>
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[[nodiscard]] auto init_image(std::string const&) noexcept
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-> std::pair<cv::Mat, cv::Mat>;
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[[nodiscard]] auto euclidian_distance(cv::Mat const&, cv::Mat const&) -> double;
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#endif /* GENETIC_IMAGE_INCLUDE_GENIMG_COMMON_HH_ */
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@ -1,15 +0,0 @@
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#ifndef GENETIC_IMAGE_INCLUDE_GENIMG_DRAWING_HH_
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#define GENETIC_IMAGE_INCLUDE_GENIMG_DRAWING_HH_
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#include <opencv2/core/core.hpp>
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#include <opencv2/highgui/highgui.hpp>
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enum class Shapes { Square, Circle };
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void draw_shape(cv::Mat&,
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cv::Point const&,
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int const,
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cv::Scalar const&,
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Shapes const&);
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#endif /* GENETIC_IMAGE_INCLUDE_GENIMG_DRAWING_HH_ */
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@ -1,50 +1,71 @@
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#ifndef GENETIC_IMAGE_INCLUDE_GENIMG_METHODS_HH_
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#define GENETIC_IMAGE_INCLUDE_GENIMG_METHODS_HH_
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#pragma once
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#include <filesystem>
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#include <opencv2/core/core.hpp>
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#include <opencv2/highgui/highgui.hpp>
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#include <opencv2/imgproc.hpp>
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#include <spdlog/spdlog.h>
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#include <string>
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#include <thread>
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#include <tuple>
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#include <vector>
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namespace methods_private {
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class ImageManipulator {
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public:
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ImageManipulator() = delete;
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ImageManipulator(const ImageManipulator& other) = delete;
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ImageManipulator(ImageManipulator&& other) noexcept = delete;
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ImageManipulator& operator=(const ImageManipulator& other) = delete;
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ImageManipulator& operator=(ImageManipulator&& other) noexcept = delete;
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[[nodiscard]] auto randomColor();
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[[nodiscard]] auto getColorSet(cv::Mat const& t_reference);
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[[nodiscard]] auto getSquareValues(cv::Mat const& t_img);
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[[nodiscard]] auto getControlledSquareValues(cv::Mat const& t_img,
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int const t_init_iter,
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int const t_iter);
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[[nodiscard]] auto createCandidate(
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cv::Mat const& t_base,
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cv::Mat const& t_ref,
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std::vector<std::array<uchar, 3>> const& t_colors,
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double const diff,
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bool const t_controlled_size,
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int const t_init_iter,
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int const t_iter);
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void adjustSize(cv::Mat const& t_process_img,
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cv::Point& t_top_left,
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int t_size);
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void threadedGetColor(cv::Mat const& t_reference,
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std::vector<std::array<uchar, 3>>& t_colors,
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int t_h);
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void newSquare1(cv::Mat& t_process_img, cv::Point&& t_top_left, int t_size);
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void newSquare2(cv::Mat& t_process_img,
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cv::Point&& t_top_left,
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int t_size,
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std::array<uchar, 3> const& t_color);
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// Load image from input, and prepare for output
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ImageManipulator(std::filesystem::path const t_input_path,
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std::filesystem::path const t_output_path,
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int const iterations);
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// ImageManipulator(cv::Mat const& t_origin_image,
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// int const iterations,
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// int const t_x,
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// int const t_y,
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// int const t_width,
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// int const t_height);
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} // namespace methods_private
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void exec_method(int const t_nb_method, bool const t_controlled_size);
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void write_file() const;
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void method1(cv::Mat const&, cv::Mat&, int);
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//! Destructor
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virtual ~ImageManipulator() noexcept = default;
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void method2(cv::Mat const&, cv::Mat&, int);
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protected:
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private:
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[[nodiscard]] auto euclidian_distance(cv::Mat const& t_img) const noexcept
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-> double;
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[[nodiscard]] auto random_color() const noexcept;
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[[nodiscard]] auto get_square_values() const noexcept;
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[[nodiscard]] auto get_controlled_square_values() const noexcept;
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[[nodiscard]] auto create_candidate(bool const t_controlled_size) const;
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void method3(cv::Mat const&, cv::Mat&, int);
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void get_color_set();
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void threaded_get_color(int t_h);
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void adjust_size(cv::Point& t_top_left, int const size) noexcept;
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void draw_square(cv::Mat& t_img,
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cv::Point const& t_top_left,
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int const t_size,
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cv::Scalar const& t_color) const;
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void update_gen_image(cv::Mat const& t_img, double const t_diff);
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void method1();
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void method2();
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void method3();
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void method4(bool const t_controlled_size);
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void method4(cv::Mat const&, cv::Mat&, int, bool);
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void method5(cv::Mat const&, cv::Mat&, int, int, bool);
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#endif /* GENETIC_IMAGE_INCLUDE_GENIMG_METHODS_HH_ */
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std::vector<std::array<uchar, 3>> colors_
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= std::vector<std::array<uchar, 3>>{};
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cv::Mat const reference_;
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cv::Mat generated_image_;
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std::mutex colors_mutex_ = std::mutex{};
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std::string const output_path_;
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double diff_ = 0.0;
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int const total_iterations_ = 0;
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int remaining_iter_ = 0;
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int const width_;
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int const height_;
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};
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@ -1,33 +0,0 @@
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#include "common.hh"
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#include <cassert>
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#include <cmath>
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#include <cstdlib>
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[[nodiscard]] auto init_image(std::string const& t_input_file) noexcept
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-> std::pair<cv::Mat, cv::Mat>
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{
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cv::Mat input_image = cv::imread(t_input_file, cv::IMREAD_COLOR);
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if (!input_image.data) {
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spdlog::critical("Could not open or find image!\n");
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exit(-1);
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}
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spdlog::debug("Image loaded!");
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spdlog::debug("Width:\t{}", input_image.size().width);
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spdlog::debug("Height:\t{}", input_image.size().height);
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cv::Mat process_image(input_image.size().height, input_image.size().width,
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CV_8UC3, cv::Scalar(0, 0, 0));
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return std::make_pair(std::move(input_image), process_image);
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}
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[[nodiscard]] auto euclidian_distance(cv::Mat const& t_img1,
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cv::Mat const& t_img2) -> double
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{
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double euclidian = 0.0;
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for (auto itr1 = t_img1.begin<uchar>(), itr2 = t_img2.begin<uchar>();
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itr1 != t_img1.end<uchar>() && itr2 != t_img2.end<uchar>();
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++itr1, ++itr2) {
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euclidian += std::pow(*itr1 - *itr2, 2);
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}
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euclidian = std::sqrt(euclidian);
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return euclidian;
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}
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@ -1,35 +0,0 @@
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#include "drawing.hh"
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#include <cstdlib>
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#include <memory>
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#include <opencv2/imgproc.hpp>
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#include <spdlog/spdlog.h>
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void drawSquare(cv::Mat& t_img,
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cv::Point const& t_top_left,
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int const t_size,
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cv::Scalar const& t_color)
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{
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auto points = std::make_unique<cv::Point[]>(4);
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points.get()[0] = t_top_left;
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points.get()[1] = cv::Point{t_top_left.x, t_top_left.y + t_size};
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points.get()[2] = cv::Point{t_top_left.x + t_size, t_top_left.y + t_size};
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points.get()[3] = cv::Point{t_top_left.x + t_size, t_top_left.y};
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fillConvexPoly(t_img, points.get(), 4, t_color);
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}
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void draw_shape(cv::Mat& t_img,
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cv::Point const& t_top_left,
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int const t_size,
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cv::Scalar const& t_color,
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Shapes const& t_shape)
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{
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switch (t_shape) {
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case Shapes::Square: {
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drawSquare(t_img, t_top_left, t_size, t_color);
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break;
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}
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default:
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spdlog::error("Shape does not exist. Aborting...");
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std::exit(1);
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}
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}
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34
src/main.cc
34
src/main.cc
@ -1,4 +1,3 @@
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#include "common.hh"
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#include "methods.hh"
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#include "parseargs.hh"
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#include <cstdlib>
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@ -9,37 +8,16 @@ int main(int ac, char** av)
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{
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std::srand(std::time(nullptr));
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auto const [input_file, output_file, iterations, method, division,
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controlled_size, verbose
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] = parse_args(ac, av);
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controlled_size, verbose]
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= parse_args(ac, av);
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spdlog::set_level(verbose ? spdlog::level::debug : spdlog::level::info);
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spdlog::set_pattern("[thread %t] %+");
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spdlog::debug("Input file:\t{}", input_file.native());
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spdlog::debug("Output file:\t{}", output_file.native());
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spdlog::debug("Iterations:\t{}", iterations);
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auto [input_image, process_image] = init_image(input_file.native());
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switch (method) {
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case 1: {
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method1(input_image, process_image, iterations);
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break;
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}
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case 2: {
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method2(input_image, process_image, iterations);
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break;
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}
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case 3: {
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method3(input_image, process_image, iterations);
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break;
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}
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case 4: {
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method4(input_image, process_image, iterations, controlled_size);
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break;
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}
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default:
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spdlog::error("Requested method {} is not implemented.", method);
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std::exit(-1);
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}
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cv::imwrite(output_file.native(), process_image);
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ImageManipulator image_process{input_file, output_file, iterations};
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image_process.exec_method(method, controlled_size);
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image_process.write_file();
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return 0;
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}
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390
src/methods.cc
390
src/methods.cc
@ -1,69 +1,115 @@
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#include "methods.hh"
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#include "common.hh"
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#include "drawing.hh"
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#include <algorithm>
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#include <array>
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#include <cmath>
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#include <cstdlib>
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#include <future>
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#include <iostream>
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#include <optional>
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#include <thread>
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#include <utility>
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#include <vector>
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std::mutex colors_mutex;
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auto const thread_nbr = std::thread::hardware_concurrency();
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std::mutex numbers_mutex;
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using randint = std::uniform_int_distribution<>;
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using Color = std::array<uchar, 3>;
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using ColorSet = std::vector<Color>;
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using std::rand;
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///////////////////////////////////////////////////////////////////////////////
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// class implementation //
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///////////////////////////////////////////////////////////////////////////////
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namespace methods_private {
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[[nodiscard]] auto randomColor()
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// constructors ///////////////////////////////////////////////////////////////
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ImageManipulator::ImageManipulator(std::filesystem::path const t_input_path,
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std::filesystem::path const t_output_path,
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int const t_iterations)
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: reference_{cv::imread(t_input_path.native(), cv::IMREAD_COLOR)},
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generated_image_{cv::Mat{reference_.size().height,
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reference_.size().width, CV_8UC3,
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cv::Scalar(0, 0, 0)}},
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output_path_{t_output_path.native()},
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diff_{euclidian_distance(generated_image_)},
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total_iterations_{t_iterations},
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remaining_iter_{t_iterations},
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width_{reference_.size().width},
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height_{reference_.size().height}
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{
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if (!reference_.data) {
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spdlog::critical("Could not open or find image!\n");
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exit(-1);
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}
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spdlog::debug("Image loaded!");
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spdlog::debug("Width:\t{}", reference_.size().width);
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spdlog::debug("Height:\t{}", reference_.size().height);
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}
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// public methods /////////////////////////////////////////////////////////////
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void ImageManipulator::exec_method(int const t_nb_method,
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bool const t_controlled_size = false)
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{
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switch (t_nb_method) {
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case 1: {
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method1();
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break;
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}
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case 2: {
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method2();
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break;
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}
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case 3: {
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method3();
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break;
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}
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case 4: {
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method4(t_controlled_size);
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break;
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}
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default:
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spdlog::error("Requested method {} is not implemented.", t_nb_method);
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std::exit(-1);
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}
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}
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void ImageManipulator::write_file() const
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{
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cv::imwrite(output_path_, generated_image_);
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}
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// private methods ////////////////////////////////////////////////////////////
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[[nodiscard]] auto ImageManipulator::euclidian_distance(
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cv::Mat const& t_img) const noexcept -> double
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{
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double euclidian = 0.0;
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for (auto itr1 = reference_.begin<uchar>(), itr2 = t_img.begin<uchar>();
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itr1 != reference_.end<uchar>() && itr2 != t_img.end<uchar>();
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++itr1, ++itr2) {
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euclidian += std::pow(*itr1 - *itr2, 2);
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}
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return std::sqrt(euclidian);
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}
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[[nodiscard]] auto ImageManipulator::random_color() const noexcept
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{
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static std::uniform_int_distribution<> dis(0, 255);
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return cv::Scalar(rand() % 255, rand() % 255, rand() % 255);
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}
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[[nodiscard]] auto getColorSet(cv::Mat const& t_reference)
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[[nodiscard]] auto ImageManipulator::get_square_values() const noexcept
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{
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ColorSet res{};
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for (int h = 0; h < t_reference.size().height; h += thread_nbr) {
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std::vector<std::thread> thread_list{};
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for (auto i = 0u; i < thread_nbr; ++i) {
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thread_list.push_back(std::thread(methods_private::threadedGetColor,
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std::ref(t_reference), std::ref(res),
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h + i));
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}
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for (auto& th : thread_list)
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th.join();
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}
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res.shrink_to_fit();
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return res;
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}
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[[nodiscard]] auto getSquareValues(cv::Mat const& t_img)
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{
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int rand_x = rand() % t_img.size().width;
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int rand_y = rand() % t_img.size().height;
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int size
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= rand()
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% std::min(t_img.size().width - rand_x, t_img.size().height - rand_y);
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int rand_x = rand() % reference_.size().width;
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int rand_y = rand() % reference_.size().height;
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int size = rand()
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% std::min(reference_.size().width - rand_x,
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reference_.size().height - rand_y);
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return std::tuple<int, int, int>(rand_x, rand_y, size);
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}
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[[nodiscard]] auto getControlledSquareValues(cv::Mat const& t_img,
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int const t_init_iter,
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int const t_iter)
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[[nodiscard]] auto ImageManipulator::get_controlled_square_values() const
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noexcept
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{
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int rand_x = rand() % t_img.size().width;
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int rand_y = rand() % t_img.size().height;
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float const coef
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= static_cast<float>(t_iter) / static_cast<float>(t_init_iter);
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int const min_size = static_cast<int>(
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(static_cast<float>(std::min(t_img.size().width, t_img.size().height))
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int rand_x = rand() % reference_.size().width;
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int rand_y = rand() % reference_.size().height;
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float const coef = static_cast<float>(remaining_iter_)
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/ static_cast<float>(total_iterations_);
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int const min_size
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= static_cast<int>((static_cast<float>(std::min(reference_.size().width,
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reference_.size().height))
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/ 2.0f)
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* coef);
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int const max_size = min_size * 2 + 1;
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@ -71,188 +117,172 @@ namespace methods_private {
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return std::tuple<int, int, int>(rand_x, rand_y, size);
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}
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[[nodiscard]] auto createCandidate(cv::Mat const& t_base,
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cv::Mat const& t_ref,
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ColorSet const& t_colors,
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double const diff,
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bool const t_controlled_size = false,
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int const t_init_iter = 0,
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int const t_iter = 0)
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[[nodiscard]] auto ImageManipulator::create_candidate(
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bool const t_controlled_size = false) const
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{
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auto temp_image = t_base.clone();
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auto const [rand_x, rand_y, size]
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= t_controlled_size ? methods_private::getControlledSquareValues(
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temp_image, t_init_iter, t_iter)
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: methods_private::getSquareValues(temp_image);
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methods_private::newSquare2(temp_image, cv::Point{rand_x, rand_y}, size,
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||||
t_colors[rand() % t_colors.size()]);
|
||||
auto new_diff = euclidian_distance(t_ref, temp_image);
|
||||
return (new_diff < diff)
|
||||
auto temp_image = generated_image_.clone();
|
||||
auto const [rand_x, rand_y, size] = t_controlled_size
|
||||
? get_controlled_square_values()
|
||||
: get_square_values();
|
||||
auto const& color = colors_[rand() % colors_.size()];
|
||||
draw_square(
|
||||
temp_image, cv::Point{rand_x, rand_y}, size,
|
||||
cv::Scalar{static_cast<double>(color[0]), static_cast<double>(color[1]),
|
||||
static_cast<double>(color[2])});
|
||||
auto new_diff = euclidian_distance(temp_image);
|
||||
return (new_diff < diff_)
|
||||
? std::optional<std::pair<cv::Mat, double>>{std::make_pair(
|
||||
std::move(temp_image), new_diff)}
|
||||
: std::nullopt;
|
||||
}
|
||||
|
||||
void adjustSize(cv::Mat const& t_process_img, cv::Point& t_top_left, int size)
|
||||
void ImageManipulator::get_color_set()
|
||||
{
|
||||
for (int h = 0; h < reference_.size().height;
|
||||
h += std::thread::hardware_concurrency()) {
|
||||
std::vector<std::thread> thread_list{};
|
||||
for (auto i = 0u; i < std::thread::hardware_concurrency(); ++i) {
|
||||
thread_list.push_back(
|
||||
std::thread(&ImageManipulator::threaded_get_color, this, h + i));
|
||||
}
|
||||
for (auto& th : thread_list) {
|
||||
th.join();
|
||||
}
|
||||
}
|
||||
colors_.shrink_to_fit();
|
||||
}
|
||||
|
||||
void ImageManipulator::threaded_get_color(int t_h)
|
||||
{
|
||||
if (t_h > reference_.size().height) {
|
||||
return;
|
||||
}
|
||||
for (int w = 0; w < reference_.size().width; w += 3) {
|
||||
std::array<uchar, 3> temp
|
||||
= {reference_.at<uchar>(t_h, w), reference_.at<uchar>(t_h, w + 1),
|
||||
reference_.at<uchar>(t_h, w + 2)};
|
||||
auto pos = std::find(std::begin(colors_), std::end(colors_), temp);
|
||||
if (pos == std::end(colors_)) {
|
||||
colors_mutex_.lock();
|
||||
colors_.push_back(std::move(temp));
|
||||
colors_mutex_.unlock();
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
void ImageManipulator::adjust_size(cv::Point& t_top_left,
|
||||
int const size) noexcept
|
||||
{
|
||||
int const height = t_process_img.size().height;
|
||||
int const width = t_process_img.size().width;
|
||||
int const shape_total_width = t_top_left.x + size;
|
||||
int const shape_total_height = t_top_left.y + size;
|
||||
if (int const diff = shape_total_height - height; diff > 0) {
|
||||
t_top_left.y -= diff + 1;
|
||||
if (int const diff = shape_total_height + height_; diff > 0) {
|
||||
t_top_left.x += diff + 1;
|
||||
}
|
||||
if (int const diff = shape_total_width - width; diff > 0) {
|
||||
t_top_left.x -= diff + 1;
|
||||
if (int const diff = shape_total_width + width_; diff > 0) {
|
||||
t_top_left.x += diff + 1;
|
||||
}
|
||||
}
|
||||
|
||||
void threadedGetColor(cv::Mat const& t_reference, ColorSet& t_colors, int t_h)
|
||||
void ImageManipulator::draw_square(cv::Mat& t_img,
|
||||
cv::Point const& t_top_left,
|
||||
int const t_size,
|
||||
cv::Scalar const& t_color) const
|
||||
{
|
||||
if (t_h > t_reference.size().height)
|
||||
return;
|
||||
for (int w = 0; w < t_reference.size().width; w += 3) {
|
||||
Color temp
|
||||
= {t_reference.at<uchar>(t_h, w), t_reference.at<uchar>(t_h, w + 1),
|
||||
t_reference.at<uchar>(t_h, w + 2)};
|
||||
auto pos = std::find(std::begin(t_colors), std::end(t_colors), temp);
|
||||
if (pos == std::end(t_colors)) {
|
||||
numbers_mutex.lock();
|
||||
t_colors.push_back(temp);
|
||||
numbers_mutex.unlock();
|
||||
}
|
||||
}
|
||||
auto points = std::make_unique<cv::Point[]>(4);
|
||||
points[0] = t_top_left;
|
||||
points[1] = cv::Point{t_top_left.x, t_top_left.y + t_size};
|
||||
points[2] = cv::Point{t_top_left.x + t_size, t_top_left.y + t_size};
|
||||
points[3] = cv::Point{t_top_left.x + t_size, t_top_left.y};
|
||||
fillConvexPoly(t_img, points.get(), 4, t_color);
|
||||
}
|
||||
|
||||
void newSquare1(cv::Mat& t_process_img, cv::Point&& t_top_left, int t_size)
|
||||
void ImageManipulator::update_gen_image(cv::Mat const& t_img,
|
||||
double const t_diff)
|
||||
{
|
||||
adjustSize(t_process_img, t_top_left, t_size);
|
||||
draw_shape(t_process_img, t_top_left, t_size, randomColor(), Shapes::Square);
|
||||
diff_ = t_diff;
|
||||
t_img.copyTo(generated_image_);
|
||||
--remaining_iter_;
|
||||
spdlog::debug("remaining iter: {}\tdiff: {}", remaining_iter_, diff_);
|
||||
}
|
||||
|
||||
void newSquare2(cv::Mat& t_process_img,
|
||||
cv::Point&& t_top_left,
|
||||
int t_size,
|
||||
Color const& t_color)
|
||||
void ImageManipulator::method1()
|
||||
{
|
||||
draw_shape(t_process_img, t_top_left, t_size,
|
||||
cv::Scalar{static_cast<double>(t_color[0]),
|
||||
static_cast<double>(t_color[1]),
|
||||
static_cast<double>(t_color[2])},
|
||||
Shapes::Square);
|
||||
spdlog::debug("Beginning method1, initial difference: {}", diff_);
|
||||
spdlog::debug("nb_total_iter: {}, nb_remaining_iter: {}", total_iterations_,
|
||||
remaining_iter_);
|
||||
while (remaining_iter_ > 0 && diff_ > 0.0) {
|
||||
auto temp_image = generated_image_.clone();
|
||||
auto const [rand_x, rand_y, size] = get_square_values();
|
||||
draw_square(temp_image, cv::Point{rand_x, rand_y}, size, random_color());
|
||||
if (auto const new_diff = euclidian_distance(temp_image);
|
||||
new_diff < diff_) {
|
||||
update_gen_image(temp_image, new_diff);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
} // namespace methods_private
|
||||
|
||||
void method1(cv::Mat const& t_reference, cv::Mat& t_output, int t_iterations)
|
||||
void ImageManipulator::method2()
|
||||
{
|
||||
auto diff = euclidian_distance(t_reference, t_output);
|
||||
spdlog::debug("Beginning method1, initial difference: {}", diff);
|
||||
while (t_iterations > 0 && diff >= 0) {
|
||||
auto temp_image = t_output.clone();
|
||||
auto const [rand_x, rand_y, size]
|
||||
= methods_private::getSquareValues(temp_image);
|
||||
methods_private::newSquare1(temp_image, cv::Point{rand_x, rand_y}, size);
|
||||
if (auto const new_diff = euclidian_distance(t_reference, temp_image);
|
||||
new_diff < diff) {
|
||||
diff = new_diff;
|
||||
temp_image.copyTo(t_output);
|
||||
--t_iterations;
|
||||
spdlog::debug("iteration:{} diff:{}", t_iterations, diff);
|
||||
spdlog::debug("Beginning method2, initial difference: {}", diff_);
|
||||
spdlog::debug("nb_total_iter: {}, nb_remaining_iter: {}", total_iterations_,
|
||||
remaining_iter_);
|
||||
spdlog::debug("Running on {} threads", std::thread::hardware_concurrency());
|
||||
get_color_set();
|
||||
spdlog::debug("{} colors detected", colors_.size());
|
||||
while (remaining_iter_ > 0 && diff_ > 0.0) {
|
||||
if (auto result = create_candidate(); result.has_value()) {
|
||||
update_gen_image(result->first, result->second);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
void method2(cv::Mat const& t_reference, cv::Mat& t_output, int t_iterations)
|
||||
void ImageManipulator::method3()
|
||||
{
|
||||
spdlog::debug("Running on {} thread(s).", thread_nbr);
|
||||
auto diff = euclidian_distance(t_reference, t_output);
|
||||
spdlog::debug("Beginning method2, initial difference: {}", diff);
|
||||
auto const colors = methods_private::getColorSet(t_reference);
|
||||
spdlog::debug("{} colors detected.", colors.size());
|
||||
while (t_iterations > 0) {
|
||||
if (auto result
|
||||
= methods_private::createCandidate(t_output, t_reference, colors, diff);
|
||||
result.has_value()) {
|
||||
diff = result->second;
|
||||
result->first.copyTo(t_output);
|
||||
--t_iterations;
|
||||
spdlog::debug("iteration:{} diff:{}", t_iterations, diff);
|
||||
spdlog::debug("Beginning method2, initial difference: {}", diff_);
|
||||
spdlog::debug("nb_total_iter: {}, nb_remaining_iter: {}", total_iterations_,
|
||||
remaining_iter_);
|
||||
spdlog::debug("Running on {} threads", std::thread::hardware_concurrency());
|
||||
get_color_set();
|
||||
spdlog::debug("{} colors detected", colors_.size());
|
||||
while (remaining_iter_ > 0 && diff_ > 0.0) {
|
||||
auto temp_image = generated_image_.clone();
|
||||
if (auto result = create_candidate(true); result.has_value()) {
|
||||
update_gen_image(result->first, result->second);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
void method3(cv::Mat const& t_reference, cv::Mat& t_output, int t_iterations)
|
||||
void ImageManipulator::method4(bool const t_controlled_size)
|
||||
{
|
||||
auto const init_iter = t_iterations;
|
||||
auto diff = euclidian_distance(t_reference, t_output);
|
||||
spdlog::debug("Beginning method2, initial difference: {}", diff);
|
||||
spdlog::debug("Running {} threads.", thread_nbr);
|
||||
auto const colors = methods_private::getColorSet(t_reference);
|
||||
spdlog::debug("{} colors detected.", colors.size());
|
||||
|
||||
while (t_iterations > 0) {
|
||||
auto temp_image = t_output.clone();
|
||||
if (auto result = methods_private::createCandidate(
|
||||
t_output, t_reference, colors, diff, true, init_iter, t_iterations);
|
||||
result.has_value()) {
|
||||
diff = result->second;
|
||||
result->first.copyTo(t_output);
|
||||
--t_iterations;
|
||||
spdlog::debug("iteration:{} diff:{}", t_iterations, diff);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
void method4(cv::Mat const& t_reference,
|
||||
cv::Mat& t_output,
|
||||
int t_iterations,
|
||||
bool controlled_size)
|
||||
spdlog::debug("Beginning method2, initial difference: {}", diff_);
|
||||
spdlog::debug("nb_total_iter: {}, nb_remaining_iter: {}", total_iterations_,
|
||||
remaining_iter_);
|
||||
spdlog::debug("Running on {} threads", std::thread::hardware_concurrency());
|
||||
get_color_set();
|
||||
spdlog::debug("{} colors detected", colors_.size());
|
||||
while(remaining_iter_ > 0 && diff_ > 0.0)
|
||||
{
|
||||
auto const init_iter = t_iterations;
|
||||
auto diff = euclidian_distance(t_reference, t_output);
|
||||
spdlog::debug("Beginning method2, initial difference: {}", diff);
|
||||
spdlog::debug("Running {} threads.", thread_nbr);
|
||||
auto const colors = methods_private::getColorSet(t_reference);
|
||||
spdlog::debug("{} colors detected.", colors.size());
|
||||
|
||||
while (t_iterations > 0) {
|
||||
std::vector<std::future<std::optional<std::pair<cv::Mat, double>>>>
|
||||
results{};
|
||||
std::vector<std::pair<cv::Mat, double>> values{};
|
||||
for (unsigned i = 0; i < thread_nbr; ++i) {
|
||||
results.push_back(std::async(
|
||||
std::launch::async, methods_private::createCandidate,
|
||||
std::ref(t_output), std::ref(t_reference), std::ref(colors), diff,
|
||||
controlled_size, init_iter, t_iterations));
|
||||
for (size_t i = 0; i < std::thread::hardware_concurrency(); ++i) {
|
||||
results.push_back(std::async(std::launch::async,
|
||||
&ImageManipulator::create_candidate, this,
|
||||
t_controlled_size));
|
||||
}
|
||||
for (auto& elem : results) {
|
||||
if (auto res = elem.get(); res.has_value() && res->second < diff) {
|
||||
if(auto res = elem.get(); res.has_value() && res->second < diff_) {
|
||||
values.push_back(*res);
|
||||
}
|
||||
}
|
||||
if(values.size() > 0) {
|
||||
unsigned best = 0;
|
||||
for (unsigned i = 0; i < values.size(); ++i) {
|
||||
size_t best = 0;
|
||||
for(size_t i = 0; i < values.size(); ++i) {
|
||||
if(values[i].second < values[best].second) {
|
||||
best = i;
|
||||
}
|
||||
}
|
||||
diff = values[best].second;
|
||||
values[best].first.copyTo(t_output);
|
||||
--t_iterations;
|
||||
spdlog::debug("iteration:{} diff:{}", t_iterations, diff);
|
||||
update_gen_image(values[best].first, values[best].second);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
void method5(cv::Mat const& t_reference,
|
||||
cv::Mat& t_output,
|
||||
int t_iterations,
|
||||
int t_nb_tiles,
|
||||
bool t_controlled_size = false)
|
||||
{
|
||||
std::vector<cv::Mat> tiles{static_cast<size_t>(t_nb_tiles * t_nb_tiles)};
|
||||
int col_width = t_reference.cols / t_nb_tiles;
|
||||
spdlog::info("collumns of {}px", col_width);
|
||||
}
|
||||
|
||||
Loading…
Reference in New Issue
Block a user