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sclass ChessPieceRecognizer {
  MultiMap<S, ChessPieceProfile1> profiles;
  //new Map<S, Float> fillGradeThresholdsByPiece;
  double magicCombineFactor = 0.0012589254117941495;
  
  void load {
    long time = sysNow();
    profiles = agiBlue_chessPieceProfiles();
    /*for (S piece : ai_6chessPieces()) {
      L<Float> w = collect fillGrade(profiles.get("white " + piece));
      L<Float> b = collect fillGrade(profiles.get("black " + piece));
      float white = floatAverage(w);
      float black = floatAverage(b);
      print("white/black " + piece + " avg: " + white + "/" + black);
      print("white/black " + piece + " min/max: " + floatMax(w) + "/" + floatMin(b));
      fillGradeThresholdsByPiece.put(piece, avg(white, black));
    }*/
    //profiles = mapMultiMapKeys lastJavaToken(profiles); // drop color
    done2("Loading " + n2(l(profiles), "piece profile"), time);
  }
  
  Pair<S, Double> recognize(BufferedImage img) {
    ChessPieceProfile1 profile = chessOCR_pieceProfileFromRawImage_1(img);
    new Lowest<S> lowest;
    
    for (unpair S piece, ChessPieceProfile1 p : multiMapToPairs(profiles)) {
      float sideProfileDiff = floatRatio(byteArraysTotalDiff(profile.sideProfile, p.sideProfile), l(p.sideProfile));
      float fillGradeDiff = abs(profile.fillGrade-p.fillGrade);
      double score = magicCombine(sideProfileDiff, fillGradeDiff);
      lowest.put(piece, score);
    }
    ret pairMapB(d -> errorToPercent(d), lowest.pair());
  }
  
  // for humans
  double errorToPercent(double d) {
    ret 100-d;
  }
  
  double magicCombine(double sideProfileScore, double fillGradeScore) {
    double sum = sideProfileScore+fillGradeScore/magicCombineFactor;
    //print("magicCombine " + sideProfileScore + "*" + magicCombineFactor + "+" + fillGradeScore + " = " + sum);
    ret sum;
  }
}