win32gl/test/bugfix.cpp

   1 #include <psychlops.h>
   2 using namespace Psychlops;      // Initially developed with Psychlops Win32 1.0.2 / 20080414
   3 /*
   4 void drawGaussianFilter(Image &img, double sigma, double factor)
   5 {
   6         img.release();
   7         img.set(sigma*8, sigma*8, Image::RGBA);
   8         const int width = img.getWidth(), height = img.getHeight();
   9         double xp, yp, r, r2;
  10         for(int y=0; y<height; y++) {
  11                 yp = y-height/2.0;
  12                 for(int x=0; x<width; x++) {
  13                         xp = x-width/2.0;
  14                         r = sqrt(xp*xp+yp*yp);
  15                         r2 = -(r*r) / (2.0*sigma*sigma);
  16                         img.alpha(x,y,factor*(exp(r2)));
  17                 }
  18         }
  19 }
  20
  21 void psychlops_main() {
  22         Canvas cnvs(1024,768,Canvas::window);
  23
  24         Group gr;
  25
  26         // Attach filter to Group
  27         Image filter;
  28         drawGaussianFilter( filter, 100, 1 );
  29         filter.centering(0,0);
  30         gr.clip(&filter);
  31
  32         // Append 'filtered' Figures
  33         Psychlops::Rectangle dot[100];
  34         for(int i=0; i<100; i++) {
  35                 dot[i].fill = Color::white;
  36                 dot[i].set(5,5).centering(random(-300,300),random(-300,300)).join(gr);
  37         }
  38
  39         cnvs.clear();
  40         gr.centering().draw();
  41         cnvs.flip();
  42
  43         while(!Keyboard::esc.pushed()) {}
  44
  45 }
  46 */
  47
  48 const double E = 2.718281828459045;
  49 const double LOG2E = 1.44269504088896340736;
  50 double sigmoid(double x, double d, double a) { return 1 / ( 1 + pow(E, -(a*(x-d))) ); }
  51 double log2NormalDistibution(double log_x, double octave_mu, double octave_sigma) { return Math::normalDistibution(log(log_x)*LOG2E, octave_mu, octave_sigma); }
  52 double cumulativeLog2NormalDistibution(double log_x, double octave_mu, double octave_sigma) { return Math::cumulativeNormalDistibution(log(log_x)*LOG2E, octave_mu, octave_sigma); }
  53
  54
  55 double bind(double x) {
  56         return cumulativeLog2NormalDistibution(x, 2, 1.15/2);
  57 }
  58 double bind2(double x) {
  59         return 1-cumulativeLog2NormalDistibution(x, 1, 1.15/2);
  60 }
  61
  62 void psychlops_main() {
  63         Canvas cnvs(1024,768,Canvas::window);
  64
  65         Figures::FunctionalPlot plot(256,256);
  66         //plot.append(&bind);
  67         //plot.append(&bind2);
  68         //plot.x_max=20; plot.x_min=0.0000001; plot.y_max=1.1; plot.y_min=-0.1;
  69         plot.append(&sin);
  70         plot.x_max=10; plot.x_min=-10; plot.y_max=1.1; plot.y_min=-1.1;
  71         plot.draw();
  72         cnvs.flip();
  73
  74         while(!Keyboard::esc.pushed()) {}
  75 }
  76
  77
  78 /*
  79 void psychlops_main() {
  80         Canvas sampleA(Canvas::fullscreen);
  81
  82         Image img(200,200);
  83         img.clear(Color::blue);
  84         img.rect(Psychlops::Rectangle(50,0,150,100),Color::green); // Draw rect to upper side
  85         img.centering().draw();
  86
  87
  88         Psychlops::Rectangle rect(500,500);
  89         Image target;
  90
  91         sampleA.to(target, rect.centering());
  92         rect.draw(Color(1,0,0,0.2));    // show source area of Canvas::to
  93
  94
  95         sampleA.flip(); // If Canvas::flip has been done bofore Canvas::to, Canvas::to won't work as you intended.
  96         while(!Input::get(Keyboard::esc));
  97
  98         // writing outline of the image
  99         target.line(0, 0, 0, target.getHeight(), Color::red);
 100         target.line(0, 0, target.getWidth(), 0, Color::red);
 101         target.line(0, 0, target.getWidth(), target.getHeight(), Color::red);
 102
 103         sampleA.clear();
 104         target.draw();
 105         sampleA.flip();
 106         while(!Input::get(Keyboard::esc));
 107 }
 108 */
 109
 110 /*
 111 Psychlops::Rectangle rect1(1279,1023); Psychlops::Rectangle rect2;
 112 Psychlops::Image Stimulus1(rect1); Psychlops::Image Stimulus2(rect1);
 113 Psychlops::Color col(0.8);
 114
 115 void psychlops_main() {
 116         Canvas sampleA(Canvas::fullscreen);
 117         for(int y=0; y<10; y++) {
 118                 rect2.set(0, y*100+25, 1279, y*100+20+25);
 119                 Stimulus1.rect(rect2, col);
 120         }
 121         Stimulus1.draw();
 122         sampleA.flip();
 123         while(!Input::get(Keyboard::esc));
 124
 125         sampleA.flip();
 126
 127         rect2.set(0,0,500,500);//x座標が指定できていない
 128         //rect2.set(0,0,1680,500);//上下反転？
 129         //rect2.set(0,500,1680,1000);//OK
 130
 131         sampleA.to(Stimulus2, rect2);
 132         Stimulus2.draw();
 133         sampleA.flip();
 134         while(!Input::get(Keyboard::esc));
 135 }
 136
 137 */