!7

static int width = 8;

p-exp {
  L<RGBImageAndRect> images = markedFaces_scaledToWidth(width);

  int h = first(images).image.w();
  
  new Best<Recognizer> best;
  for (int y1 = 0; y1 < h; y1++)
   for (int y2 = y1+1; y2 <= h; y2++)
    for (int deltaX1 = -3; deltaX1 <= 0; deltaX1++)
     for (int deltaX2 = deltaX1+1; deltaX2 <= 3; deltaX2++) {
      Recognizer recognizer = nu(Recognizer, +y1, +y2, +deltaX1, +deltaX2);
  
      new Scorer scorer;
      double tolerance = width/2.0;
      for (RGBImageAndRect i : images) {
        Rect guessed = recognizer.get(i.image);
        //print(i.rect + " - " + guessed);
        video_scoreRect_x(scorer, i.rect, guessed, tolerance);
      }
      print(sfu(recognizer) + " => " + scorer);
      best.put(recognizer, scorer!);
    }
    
  print(best);
}

sclass Recognizer extends F1<RGBImage, Rect> {
  int y1, y2, deltaX1, deltaX2;
  
  public Rect get(RGBImage img) {
    //print(f2s(img.file));
    RGBImage img2 = rgbClipLineRange(img, y1, y2);
    float[] f = rgbImageColumnBrightnesses(img2);
    //printStruct(f);
    int x = indexOfSmallestFloat(f);
    ret rectFromPoints(x+deltaX1, y1, x+deltaX2, y2);
  }
  
  toString { ret sfu(this); }
}