My old project for strange attractors
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#ifndef PNG_HPP
#define PNG_HPP
#include <memory>
#include <vector>
#include <cassert>
#include <cmath>
#ifndef __APPLE__
#include <array>
#else
#include <tr1/array>
namespace std {
using tr1::array;
}
#endif
#include "libpng.hpp"
#include "../Canvas.hpp"
class PNG : public Canvas {
unsigned int width;
unsigned int height;
unsigned int num_colors;
unsigned int* int_array;
//std::shared_ptr<std::vector<unsigned int>> int_array;
public:
double v;
PNG(unsigned int width, unsigned int height, unsigned int num_colors = 1)
: Canvas(2)
, width(width)
, height(height)
, num_colors(num_colors)
, int_array(0)
, v(2.0) {
//int_array = std::make_shared<vstd::vector<unsigned int>>(width*height*num_colors);
int_array = new unsigned int[width*height*num_colors];
LogInfo("PNG::PNG(): width: %d, height: %d, colors: %d\n", width, height, num_colors);
assert(int_array != 0);
clear();
LogDebug("New Canvas\n");
}
virtual void clear() {
std::fill_n(int_array, width*height*num_colors, 0);
}
virtual void plot(const double* normalizedPosition, const double* normalizedColor) {
const double& x = normalizedPosition[0];
const double& y = normalizedPosition[1];
const unsigned int x_int = x*width + width*.5;
const unsigned int y_int = y*width + height*.5;
const unsigned int index = x_int + width * y_int;
if(x_int < width && y_int < height) {
if(normalizedColor[0] > 0.0){
int_array[index]++;
} else {
int_array[index + width*height]++;
}
}
}
virtual void output_file(std::string const & filename_in) const {
std::string filename = filename_in;
filename += ".png";
unsigned int* max_int = new unsigned int[num_colors];
double* power = new double[num_colors];
for(unsigned int i = 0; i < num_colors; ++i) {
max_int[i] = 0;
double cumulative = 0;
unsigned int n = 0;
for(unsigned int j = 0; j < width*height; j++) {
if(max_int[i] < int_array[j+i*width*height]) {
max_int[i] = int_array[j+i*width*height];
}
if(int_array[j+i* width* height] != 0) {
cumulative += int_array[j+i*width*height];
n++;
}
}
const double average = cumulative / (double)(width*height);
power[i] = -2.5/std::log(average/(double)max_int[i]);
if(power[i] < 0) {
power[i] = 1;
LogError("negative power\n");
}
if(n < width) {
LogInfo("not enough data in dimension %d\n", i);
return;
}
}
const double vibrancy = v;
// TODO: find a way to set these things:
// pngFile->setcompressionlevel(9);
// pngFile->settext("Attractor", "Joshua Moerman", "A awesome attractor", "AwesomeAttractor");
png::image< png::rgb_pixel > image(width, height);
std::array<double, 6> power_matrix = {{
1.0, 1.5,
2.0, 2.5,
3.0, 1.5
}};
std::array<double, 6> output_matrix = {{
2.0, 2.0,
2.0, 1.5,
2.0, 2.0
}};
for(unsigned int x = 0; x < width; x++) {
for(unsigned int y = 0; y < height; y++) {
double r = 0.0;
double g = 0.0;
double b = 0.0;
double average_norm_value = 0.0;
for(unsigned int c = 0; c < num_colors; ++c){
average_norm_value += (double)int_array[x + y*width + c*width*height]/max_int[c];
}
average_norm_value /= (double) num_colors;
for(unsigned int c = 0; c < num_colors; c++) {
double norm_value = (double)int_array[x + y*width + c*width*height]/max_int[c];
norm_value = vibrancy*norm_value + (1.0 - vibrancy) * average_norm_value;
norm_value = std::max(0.0, norm_value);
r += (std::pow(norm_value, power[c]*power_matrix[c+0]))*output_matrix[c+0];
g += (std::pow(norm_value, power[c]*power_matrix[c+2]))*output_matrix[c+2];
b += (std::pow(norm_value, power[c]*power_matrix[c+4]))*output_matrix[c+4];
}
r = std::max(0.0, std::min(1.0, r));
b = std::max(0.0, std::min(1.0, b));
g = std::max(0.0, std::min(1.0, g));
image[y][x] = png::rgb_pixel(r*255, g*255, b*255);
}
}
delete[] max_int;
delete[] power;
LogInfo("Writing %s\n", filename.c_str());
image.write(filename);
LogMoreInfo("File written");
}
private:
PNG(PNG const &);
PNG & operator=(PNG const &);
};
#endif // PNG_HPP