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!7

cmodule TestAutoSegmenter > DynSingleFunctionWithPrintLog {
  long maxMBs = 256; // save dat memory
  Map<S, Double> results = syncMap();
  new Best<S> best;
  
  transient long dataSize;
  transient new L<TestImage> images;
  
  srecord TestImage(S caseName, BufferedImage image, Rect boardLocation) {}
  
  replace Segmenter with IF1<BufferedImage, L<Rect>>.
  
  bool spaceToSpare() { ret toMB(dataSize) < maxMBs; }

  void doIt {
    if (empty(images)) loadImages();
    
    Cl<S> presets = agiBlue_chessBoardSegmenterPresetNames();
    for ping (S preset : presets)
      testSegmenter(preset, parameterizedSegmenterFromAGIBlue(preset));
  }
  
  void testSegmenter(S name, Segmenter seg) {
    double score = scoreSegmenter(seg);
    print("Score for " + name + ": " + score);
    results.put(name, score);
    if (best.put(name, score))
      print("NEW BEST!");
    change();
  }
  
  double scoreSegmenter(Segmenter seg) {
    try {
      new Scorer scorer;
      for (TestImage img : images) {
        L<Rect> out = seg.get(img.img);
        Rect r = first(out);
        double tolerance = imageDiameter(img.img)/48;
        video_scoreRect(scorer, img.boardLocation, r, tolerance);
      }
    
      print(scorer);
      ret scorer.score();
    } catch print e {
      print("SEGMENTER TOTAL FAIL");
      ret 0;
    }
  }
  
  void loadImages {
    LPair<S, Rect> in = asLinkedList(agiBlue_chess_trainingImagesWithBoardLocations());
    while (nempty(in)) {
      if (!spaceToSpare())
        break with print("Out of space (" + toM(dataSize) + " MB used), skipping " + nImages(in));
      S name, Rect location = unpair popFirst(in);
      pcall {
        BufferedImage img = loadImage2(parseImageSnippetURL(agiBlue_lookupInSlice(agiBlue_chessBoardRecognitionTrainingImagesSliceID(), name, "input image")));
        images.add(new TestImage(name, img, location));
        dataSize += bufferedImageDataSize(img);
        print("Have " + nImages(images) + ", data size: " + toM(dataSize) + " MB");
      }
    }
    print("Loading done");
  }
}