2019-04-13 12:26:01 +00:00
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#pragma once
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2019-03-20 19:15:53 +00:00
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2019-04-27 13:45:39 +00:00
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#include "shapes.hh"
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2019-04-27 14:27:22 +00:00
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2019-03-28 11:39:33 +00:00
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#include <spdlog/spdlog.h>
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2019-04-13 12:26:01 +00:00
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#include <string>
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2019-04-02 08:37:14 +00:00
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#include <vector>
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2019-04-27 14:27:22 +00:00
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class ImageManipulator
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{
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public:
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ImageManipulator() = delete;
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/// \brief Copy contructor
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ImageManipulator(const ImageManipulator &other);
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/// \brief Move constructor
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ImageManipulator(ImageManipulator &&other) noexcept;
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/// \brief Load image from input, and prepare for output
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ImageManipulator(std::string const t_input_path,
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std::string const t_output_path, int const iterations,
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Shape::ShapeType const t_shape);
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2019-04-14 01:58:49 +00:00
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2019-04-27 14:27:22 +00:00
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/// \brief Basically makes views from image
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ImageManipulator(cv::Mat const &t_origin_image, int const t_iterations,
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Shape::ShapeType const t_shape, int const t_x, int const t_y,
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int const t_width, int const t_height);
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2019-04-27 14:27:22 +00:00
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[[nodiscard]] auto operator=(ImageManipulator &other) = delete;
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2019-04-14 01:58:49 +00:00
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2019-04-27 14:27:22 +00:00
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[[nodiscard]] auto operator=(ImageManipulator &&other) noexcept = delete;
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2019-04-13 12:26:01 +00:00
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2019-04-27 14:27:22 +00:00
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/// \brief Execute the nth method on the current object
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void exec_method(int const t_nb_method, bool const t_controlled_size,
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int const t_cols, int const t_rows, int const t_submethod);
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/**
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* \brief Write the generated image to the output path
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*
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* Write the generated image as a file to the specified path stored in the
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* object
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*/
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inline void 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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/// \brief Returns a reference to the generated image
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[[nodiscard]] inline auto const &get_generated_image() const noexcept
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{
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return generated_image_;
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}
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/// \brief Destructor
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virtual ~ImageManipulator() noexcept = default;
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protected:
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private:
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// methods //////////////////////////////////////////////////////////////////
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/// \brief Calculates the euclidian distance between two images
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[[nodiscard]] auto euclidian_distance(cv::Mat const &t_img) const noexcept
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-> double;
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/// \brief Creates and returns a random color
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[[nodiscard]] auto random_color() const noexcept;
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/// \brief Generates random square coordinates
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[[deprecated]] [[nodiscard]] auto get_square_values() const noexcept;
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/// \brief Generates controlled random square coordinates
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[[deprecated]] [[nodiscard]] auto get_controlled_square_values() const
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noexcept;
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/// \brief Generates a candidate for image generation improvement
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[[nodiscard]] auto create_candidate(bool const t_controlled_size);
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/// \brief Generates organized views of the reference image for method 5
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[[nodiscard]] auto generate_tiles(int const t_cols, int const t_rows) const;
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/// \brief Gets all colors from the reference image
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void get_color_set();
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/// \brief Threaded helper for \ref get_color_set
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void threaded_get_color(int const t_h);
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/// \brief Draw a square on an image
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[[deprecated]] void draw_square(cv::Mat &t_img, 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 draw_shape(cv::Mat &t_img, cv::Scalar &&t_color);
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void create_shape() noexcept;
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void create_controlled_shape() noexcept;
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/// \brief Update this object’s generated image
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void update_gen_image(cv::Mat const &t_img, double const t_diff);
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/// \brief Merges tiles generated by method5
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void merge_tiles(std::vector<std::vector<ImageManipulator>> const &t_tiles);
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/// \brief First method as described in the
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/// [report](https://labs.phundrak.fr/phundrak/genetic-images/blob/master/report/report.pdf)
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void method1();
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/// \brief Second method as described in the
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/// [report](https://labs.phundrak.fr/phundrak/genetic-images/blob/master/report/report.pdf)
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void method2();
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/// \brief Third method as described in the
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/// [report](https://labs.phundrak.fr/phundrak/genetic-images/blob/master/report/report.pdf)
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void method3();
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/// \brief Fourth method as described in the
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/// [report](https://labs.phundrak.fr/phundrak/genetic-images/blob/master/report/report.pdf)
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void method4(bool const t_controlled_size);
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/// \brief Fifth method as described in the
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/// [report](https://labs.phundrak.fr/phundrak/genetic-images/blob/master/report/report.pdf)
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void method5(bool const t_controlled_size, int const cols, int const rows,
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int const submethod);
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// members //////////////////////////////////////////////////////////////////
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std::vector<std::array<uchar, 3>> colors_{}; /*!< Color set from reference */
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cv::Mat const reference_{}; /*!< Reference image */
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cv::Mat generated_image_{
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reference_.size().height, reference_.size().width, CV_8UC3,
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cv::Scalar(0, 0, 0)}; /*!< Working, generated image */
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Shape shape_{Shape::ShapeType::Square};
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mutable std::mutex
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colors_mutex_{}; /*!< Thread mutex for color set generation */
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std::string const output_path_{}; /*!< Write path for the generated image */
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double diff_{euclidian_distance(generated_image_)}; /*!< Euclidian difference
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between \ref reference_ and \ref generated_image_ */
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int const total_iterations_{0}; /*!< Number of iterations to perform */
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int remaining_iter_{
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total_iterations_}; /*!< Remaining iterations to perform */
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int const width_{reference_.size().width}; /*!< Width of the image */
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int const height_{reference_.size().height}; /*!< Height of the image */
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};
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