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!7

// uses only one prototype image
// goes through different granularities at once

cmodule ImageRecogSpike {
  S prototypeImageID = #1102884;
  S inputImageID = #1102883;
  
  transient L<Int> widths = ll(32, 64, 128);
  transient new L<IBWIntegralImage> integralImages;
  transient BWIntegralImage baseImage;
  transient JTabbedPane tabs = jTabbedPane();

  /*class OneLevel {
    L<Rect> rectQueue;
    
    public bool step() {
      if (nempty(rectQueue))
        ret true with tryRect(popFirst(rectQueue));
      if (segmenterStream.hasNext()) {
        Segmenter seg = segmenterStream.next();
        if (seg == null) true;
        L<Rect> rects = seg.get(inputImage);
        addAll(rectQueue, rects);
        if (verbose) print("Segmenter " + seg + " returned: " + rects);
        true;
      }
      false;
    }
    
    // returns true if rect not seen before
    bool tryRect(Rect r) {
      r = rectSetHeightToWidth(r); // square it
      if (!rectsTried.add(r)) false; // seen
      BufferedImage board = clipBufferedImage(inputImage, r);
      S fen, double score = unpair chessOCR_recognizeBoard_FENAndScore(board, pieceRecognizer);
      if (verbose) print("Score " + score + " for rect: " + r);
      best.put(pair(r, fen), score);
      true;
    }*/
  
  start-thread {
    if (baseImage == null)
      baseImage = BWIntegralImage(loadImage2(inputImageID));
    for (int w : widths) {
      IBWIntegralImage ii = scaledIBWIntegralImage(baseImage, w);
      integralImages.add(
      addTab(tabs, "w=" + w, jImageSurface(iBWIntegralImageToBWImage(ii)));
    }
  }

  visual tabs;
}