import qupath.lib.images.servers.LabeledImageServer def imageData = getCurrentImageData() // Define output path (relative to project) def name = GeneralTools.getNameWithoutExtension(imageData.getServer().getMetadata().getName()) // Define output resolution double augmentation = 5 String set = "val" def pathOutput = "SET PATH HERE"+String.valueOf(augmentation)+"/"+set mkdirs(pathOutput) // Convert to downsample // double downsample = requestedPixelSize / imageData.getServer().getPixelCalibration().getAveragedPixelSize() // Define output downsample // - 20x --> 1.0 // - 10x --> 2.0 // - 5x --> 4.0 // - 2.5x --> 8.0 double downsample = 20/augmentation // Create an ImageServer where the pixels are derived from annotations def labelServer = new LabeledImageServer.Builder(imageData) .backgroundLabel(0, ColorTools.BLACK) // Specify background label .downsample(downsample) // Choose server resolution; this should match the resolution at which tiles are exported .addLabel('Other', 1, ColorTools.makeRGB(85, 85, 85)) // Classes labels (the order matters!) .addLabel('Tumor', 2, ColorTools.makeRGB(170, 170, 170)) .addLabel('In situ', 3, ColorTools.makeRGB(255, 255, 255)) .multichannelOutput(false) // If true, each label is a different channel (required for multiclass probability) .build() // Create an exporter that requests corresponding tiles from the original & labeled image servers new TileExporter(imageData) .downsample(downsample) // Define export resolution .imageExtension('.png') // Define file extension for original pixels (often .tif, .jpg, '.png' or '.ome.tif') .imageSubDir('Images') // Subdirectory to save the original images // .labeledImageExtension('.png') .labeledImageSubDir('Masks') // Subdirectory to save the masks .tileSize(512) // Define size of each tile, in pixels .labeledServer(labelServer) // Define the labeled image server to use (i.e. the one we just built) // .annotatedTilesOnly(true) // If true, only export tiles if there is a (labeled) annotation present .annotatedCentroidTilesOnly(true) // If true, only export tiles if the centroid pixels has an annotation .overlap(0) // Define overlap, in pixel units at the EXPORT resolution .writeTiles(pathOutput) // Write tiles to the specified directory print 'Done!' // Bounds de la WSI (offset que s'ha d'aplicar per aconseguir les coordenades correctes amb OpenSlide) double dx = -getCurrentServer().boundsX double dy = -getCurrentServer().boundsY print dx print dy print imageData.getServer().getPixelCalibration().getAveragedPixelSize()