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VQImageCompressor.java 14.4 KiB
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  • package azgracompress.compression;
    
    
    import azgracompress.cache.QuantizationCacheManager;
    
    import azgracompress.compression.exception.ImageCompressionException;
    
    import azgracompress.data.Range;
    import azgracompress.fileformat.QuantizationType;
    
    import azgracompress.huffman.Huffman;
    
    import azgracompress.io.InputData;
    
    import azgracompress.io.loader.IPlaneLoader;
    import azgracompress.io.loader.PlaneLoaderFactory;
    
    import azgracompress.quantization.vector.*;
    
    import azgracompress.utilities.Stopwatch;
    
    import azgracompress.utilities.Utils;
    
    import org.jetbrains.annotations.NotNull;
    
    
    import java.io.DataOutputStream;
    import java.io.IOException;
    
    
    public class VQImageCompressor extends CompressorDecompressorBase implements IImageCompressor {
    
        public VQImageCompressor(CompressionOptions options) {
    
            super(options);
        }
    
        /**
         * Train vector quantizer from plane vectors.
         *
         * @param planeVectors Image vectors.
         * @return Trained vector quantizer with codebook of set size.
         */
        private VectorQuantizer trainVectorQuantizerFromPlaneVectors(final int[][] planeVectors) {
    
    
            LBGVectorQuantizer vqInitializer = new LBGVectorQuantizer(planeVectors,
    
                                                                      getCodebookSize(),
                                                                      options.getWorkerCount(),
                                                                      options.getQuantizationVector());
    
            LBGResult vqResult = vqInitializer.findOptimalCodebook();
    
            return new VectorQuantizer(vqResult.getCodebook());
        }
    
        /**
         * Write the vector codebook to the compress stream.
         *
         * @param quantizer      Quantizer with the codebook.
         * @param compressStream Stream with compressed data.
    
         * @throws ImageCompressionException When unable to write quantizer.
    
         */
        private void writeQuantizerToCompressStream(final VectorQuantizer quantizer,
    
                                                    DataOutputStream compressStream) throws ImageCompressionException {
    
            final CodebookEntry[] codebook = quantizer.getCodebookVectors();
    
            try {
                for (final CodebookEntry entry : codebook) {
                    final int[] entryVector = entry.getVector();
                    for (final int vecVal : entryVector) {
                        compressStream.writeShort(vecVal);
                    }
    
                final long[] frequencies = quantizer.getFrequencies();
                for (final long symbolFrequency : frequencies) {
                    compressStream.writeLong(symbolFrequency);
                }
    
            } catch (IOException ioEx) {
                throw new ImageCompressionException("Unable to write codebook to compress stream.", ioEx);
    
            if (options.isVerbose()) {
    
                reportStatusToListeners("Wrote quantization vectors to compressed stream.");
    
        /**
         * Load quantizer from cached codebook.
         *
         * @return Vector quantizer with cached codebook.
         * @throws ImageCompressionException when fails to read cached codebook.
         */
        private VectorQuantizer loadQuantizerFromCache() throws ImageCompressionException {
    
    
            QuantizationCacheManager cacheManager = new QuantizationCacheManager(options.getCodebookCacheFolder());
    
            if (!cacheManager.doesVQCacheExists(options.getInputDataInfo().getCacheFileName(),
    
                                                getCodebookSize(),
                                                options.getQuantizationVector())) {
    
                trainAndSaveCodebook();
            }
    
            final VQCodebook codebook = cacheManager.loadVQCodebook(options.getInputDataInfo().getCacheFileName(),
    
                                                                    getCodebookSize(),
                                                                    options.getQuantizationVector());
    
            if (codebook == null) {
                throw new ImageCompressionException("Failed to read quantization vectors from cache.");
    
            return new VectorQuantizer(codebook);
    
        /**
         * Compress the image file specified by parsed CLI options using vector quantization.
         *
         * @param compressStream Stream to which compressed data will be written.
    
         * @throws ImageCompressionException When compress process fails.
    
        public long[] compress(DataOutputStream compressStream) throws ImageCompressionException {
    
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            if (options.getQuantizationType() == QuantizationType.Vector3D) {
                return compressVoxels(compressStream);
            }
            assert (options.getQuantizationVector().getZ() == 1);
    
            return compress1D2DVectors(compressStream);
        }
    
        @NotNull
        private long[] compress1D2DVectors(DataOutputStream compressStream) throws ImageCompressionException {
    
            final InputData inputDataInfo = options.getInputDataInfo();
    
            Stopwatch stopwatch = new Stopwatch();
    
            final boolean hasGeneralQuantizer = options.getCodebookType() != CompressionOptions.CodebookType.Individual;
    
            final IPlaneLoader planeLoader;
    
            final int[] huffmanSymbols = createHuffmanSymbols(getCodebookSize());
    
                planeLoader = PlaneLoaderFactory.getPlaneLoaderForInputFile(inputDataInfo);
    
            } catch (Exception e) {
    
                throw new ImageCompressionException("Unable to create plane reader. " + e.getMessage());
    
            VectorQuantizer quantizer = null;
    
            Huffman huffman = null;
    
            if (options.getCodebookType() == CompressionOptions.CodebookType.Global) {
    
                reportStatusToListeners("Loading codebook from cache file.");
    
                quantizer = loadQuantizerFromCache();
    
                huffman = createHuffmanCoder(huffmanSymbols, quantizer.getFrequencies());
    
                reportStatusToListeners("Cached quantizer with huffman coder created.");
    
                writeQuantizerToCompressStream(quantizer, compressStream);
    
            } else if (options.getCodebookType() == CompressionOptions.CodebookType.MiddlePlane) {
    
                stopwatch.restart();
    
                reportStatusToListeners("Training vector quantizer from middle plane.");
                final int[][] refPlaneVectors = planeLoader.loadVectorsFromPlaneRange(options, Utils.singlePlaneRange(getMiddlePlaneIndex()));
    
                quantizer = trainVectorQuantizerFromPlaneVectors(refPlaneVectors);
    
                huffman = createHuffmanCoder(huffmanSymbols, quantizer.getFrequencies());
    
                writeQuantizerToCompressStream(quantizer, compressStream);
    
                stopwatch.stop();
    
                reportStatusToListeners("Middle plane codebook created in: " + stopwatch.getElapsedTimeString());
    
            }
    
            final int[] planeIndices = getPlaneIndicesForCompression();
    
            long[] planeDataSizes = new long[planeIndices.length];
            int planeCounter = 0;
    
    
            for (final int planeIndex : planeIndices) {
    
                stopwatch.restart();
    
                reportStatusToListeners(String.format("Loading plane %d.", planeIndex));
    
                final int[][] planeVectors = planeLoader.loadVectorsFromPlaneRange(options, Utils.singlePlaneRange(planeIndex));
    
                if (!hasGeneralQuantizer) {
    
                    reportStatusToListeners(String.format("Training vector quantizer from plane %d.", planeIndex));
    
                    quantizer = trainVectorQuantizerFromPlaneVectors(planeVectors);
    
                    huffman = createHuffmanCoder(huffmanSymbols, quantizer.getFrequencies());
    
                    writeQuantizerToCompressStream(quantizer, compressStream);
                }
    
                assert (quantizer != null);
    
    
                // Use BestBinFirst KDTree for codebook lookup.
    //             final int[] indices = quantizer.quantizeIntoIndicesUsingKDTree(planeVectors, options.getWorkerCount());
                // Use BruteForce for codebook lookup.
    
                final int[] indices = quantizer.quantizeIntoIndices(planeVectors, options.getWorkerCount());
    
                planeDataSizes[planeCounter++] = writeHuffmanEncodedIndices(compressStream, huffman, indices);
    
    
                stopwatch.stop();
    
                if (options.isConsoleApplication()) {
                    reportStatusToListeners("Finished compression of plane %d in %s.", planeIndex, stopwatch.getElapsedTimeString());
                } else {
                    reportProgressToListeners(planeIndex, planeIndices.length,
                                              "Finished compression of plane %d in %s.", planeIndex, stopwatch.getElapsedTimeString());
                }
    
            return planeDataSizes;
    
        @Override
        public void trainAndSaveCodebook() throws ImageCompressionException {
            reportStatusToListeners("Loading image data...");
    
            final IPlaneLoader planeLoader;
    
                planeLoader = PlaneLoaderFactory.getPlaneLoaderForInputFile(options.getInputDataInfo());
    
            } catch (Exception e) {
    
                throw new ImageCompressionException("Unable to create plane reader. " + e.getMessage());
    
            int[][] trainingData;
            if (options.getInputDataInfo().isPlaneIndexSet()) {
                reportStatusToListeners("VQ: Loading single plane data.");
                final int planeIndex = options.getInputDataInfo().getPlaneIndex();
                trainingData = planeLoader.loadVectorsFromPlaneRange(options, new Range<>(planeIndex, planeIndex + 1));
            } else if (options.getInputDataInfo().isPlaneRangeSet()) {
                reportStatusToListeners("VQ: Loading plane range data.");
                trainingData = planeLoader.loadVectorsFromPlaneRange(options, options.getInputDataInfo().getPlaneRange());
            } else {
                reportStatusToListeners("VQ: Loading all planes data.");
                trainingData = planeLoader.loadVectorsFromPlaneRange(options,
                                                                     new Range<>(0, options.getInputDataInfo().getDimensions().getZ()));
    
            LBGVectorQuantizer vqInitializer = new LBGVectorQuantizer(trainingData,
    
                                                                      getCodebookSize(),
                                                                      options.getWorkerCount(),
                                                                      options.getQuantizationVector());
    
            reportStatusToListeners("Starting LBG optimization.");
    
            vqInitializer.setStatusListener(this::reportStatusToListeners);
            LBGResult lbgResult = vqInitializer.findOptimalCodebook();
    
            reportStatusToListeners("Learned the optimal codebook.");
    
            QuantizationCacheManager cacheManager = new QuantizationCacheManager(options.getCodebookCacheFolder());
    
                final String cacheFilePath = cacheManager.saveCodebook(options.getInputDataInfo().getCacheFileName(), lbgResult.getCodebook());
                reportStatusToListeners("Saved cache file to %s", cacheFilePath);
    
            } catch (IOException e) {
    
                throw new ImageCompressionException("Unable to write VQ cache.", e);
    
            reportStatusToListeners("Operation completed.");
    
        /**
         * Calculate the number of voxel layers needed for dataset of plane count.
         *
         * @param datasetPlaneCount Dataset plane count
         * @param voxelDepth        Z dimension of voxel.
         * @return Number of voxel layers.
         */
        public static int calculateVoxelLayerCount(final int datasetPlaneCount, final int voxelDepth) {
            return (datasetPlaneCount / voxelDepth);
        }
    
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        public long[] compressVoxels(DataOutputStream compressStream) throws ImageCompressionException {
    
            assert (options.getCodebookType() == CompressionOptions.CodebookType.Global);
            final IPlaneLoader planeLoader;
            final int[] huffmanSymbols = createHuffmanSymbols(getCodebookSize());
            try {
                planeLoader = PlaneLoaderFactory.getPlaneLoaderForInputFile(options.getInputDataInfo());
    
                planeLoader.setWorkerCount(options.getWorkerCount());
    
            } catch (Exception e) {
                throw new ImageCompressionException("Unable to create plane reader. " + e.getMessage());
            }
    
            final int voxelLayerDepth = options.getQuantizationVector().getZ();
            final int voxelLayerCount = calculateVoxelLayerCount(options.getInputDataInfo().getDimensions().getZ(), voxelLayerDepth);
            long[] voxelLayersSizes = new long[voxelLayerCount];
    
            final VectorQuantizer quantizer = loadQuantizerFromCache();
            final Huffman huffman = createHuffmanCoder(huffmanSymbols, quantizer.getFrequencies());
            writeQuantizerToCompressStream(quantizer, compressStream);
    
            int[][] voxelData;
            Stopwatch stopwatch = new Stopwatch();
            for (int voxelLayerIndex = 0; voxelLayerIndex < voxelLayerCount; voxelLayerIndex++) {
                stopwatch.restart();
                final int fromZ = (voxelLayerIndex * voxelLayerDepth);
    
                // TODO(Moravec):   There is a problem!
                //                  If dataset.Z is not divisible by voxel.Z we end up creating a lot stupid voxels.
                //                  Those stupid voxels have only one or two layers of actual data and the rest are zeros.
                //                  This ends up increasing the file size because they have quite long Huffman codes.
                final int toZ = (voxelLayerIndex == voxelLayerCount - 1)
                        ? options.getInputDataInfo().getDimensions().getZ()
                        : (voxelLayerDepth + (voxelLayerIndex * voxelLayerDepth));
    
                final Range<Integer> voxelLayerRange = new Range<>(fromZ, toZ);
    
                try {
                    voxelData = planeLoader.loadVoxels(options.getQuantizationVector(), voxelLayerRange);
                } catch (IOException e) {
                    throw new ImageCompressionException("Unable to load voxels from voxel layer " + voxelLayerRange, e);
                }
    
                final int[] indices = quantizer.quantizeIntoIndices(voxelData, options.getWorkerCount());
                voxelLayersSizes[voxelLayerIndex] = writeHuffmanEncodedIndices(compressStream, huffman, indices);
                stopwatch.stop();
    
                if (options.isConsoleApplication()) {
                    reportStatusToListeners("%d/%d Finished voxel layer %s compression pass in %s",
                                            voxelLayerIndex, voxelLayerCount, voxelLayerRange.toString(), stopwatch.getElapsedTimeString());
                } else {
                    reportProgressToListeners(voxelLayerIndex, voxelLayerCount,
                                              "%d/%d Finished voxel layer %s compression pass in %s",
                                              voxelLayerIndex, voxelLayerCount, voxelLayerRange.toString(), stopwatch.getElapsedTimeString());
                }
    
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            return voxelLayersSizes;