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!7

replace MarkedImage with BWImageAndRange.

static L<MarkedImage> markedImages;

p-exp {
  L<File> files = audioRecordingsWithSingleClip();
  pnl(files);
  markedImages = map_printProgress(f audioFileToBWImageAndRange, files);
  
  showOriginalClips();
  //showYAveraged();
  showYAveragedOnDifferentBands();
}

svoid showYAveragedOnDifferentBands {
  // Select a band, y-average, auto-contrast
  repeat with sleep 1 {
    int h = first(markedImages).image.getHeight();
    double a = random()*0.9, b = a+0.1;
    final int y1 = iround(a*h), y2 = iround(b*h);
    final new Scorer scorer;

    quickShowZoomedImage(mergeBWImagesVertically(map(markedImages,
      func(MarkedImage img) -> BWImage {
        new Var<BWImage> processedImage;
        L<Int> entryPoints = audio_entryPointsUsingBand_v1(img.image, intRange(y1, y2), +processedImage);
        scoreEntryPoints(scorer, img, entryPoints);
        ret markIntRangesOnTopOfBWImage(
          markIntRangesOnTopOfBWImage(squishBWImage(img2, 20),
            intsToSize2Ranges(entryPoints), 5),
          ll(intRange(img.start, img.end)), 5);
      })));
      
    print(scorer + " / Band: " + y1 + " to " + y2 + " of " + h);
  }
}

svoid showYAveraged {
  // Show y-averaged, auto-contrasted on whole image
  showImage(mergeBWImagesVertically(map(markedImages,
    func(MarkedImage img) -> BWImage {
      markIntRangesOnTopOfBWImage(
        bwAutoContrast(squishBWImage(squishTo1Pixel(img.image), 20)),
        ll(intRange(img.start, img.end)))
    })));
}

svoid showOriginalClips {
  showImage(mergeBWImagesVertically(map renderBWImageAndRange(markedImages)));
}

svoid scoreEntryPoints(Scorer scorer, MarkedImage img, L<Int> entryPoints) {
  scorer.addZeroToOneError(
    or(distanceOfClosestIntTo(img.start, entryPoints), 20)/20);
  scorer.addZeroToOneError(absDiff(l(entryPoints), 1)/5);
}