public static DataSetIterator testIterator() { DataSetIterator existingTestData = new ExistingMiniBatchDataSetIterator(new File("testFolder"),"flowers-"+featureExtractorLayer+"-test-%d.bin"); DataSetIterator asyncTestIter = new AsyncDataSetIterator(existingTestData); return asyncTestIter; }
@Override public DataSet next() { try { DataSet ret = read(currIdx); if (dataSetPreProcessor != null) dataSetPreProcessor.preProcess(ret); currIdx++; return ret; } catch (IOException e) { throw new IllegalStateException("Unable to read dataset"); } }
public static DataSetIterator testIterator() { DataSetIterator existingTestData = new ExistingMiniBatchDataSetIterator(new File("testFolder"),"flowers-"+featureExtractorLayer+"-test-%d.bin"); DataSetIterator asyncTestIter = new AsyncDataSetIterator(existingTestData); return asyncTestIter; }
@Override public DataSet next() { try { DataSet ret = read(currIdx); if (dataSetPreProcessor != null) dataSetPreProcessor.preProcess(ret); currIdx++; return ret; } catch (IOException e) { throw new IllegalStateException("Unable to read dataset"); } }
public static DataSetIterator trainIterator() throws UnsupportedKerasConfigurationException, IOException, InvalidKerasConfigurationException { runFeaturize(); DataSetIterator existingTrainingData = new ExistingMiniBatchDataSetIterator(new File("trainFolder"),"flowers-"+featureExtractorLayer+"-train-%d.bin"); DataSetIterator asyncTrainIter = new AsyncDataSetIterator(existingTrainingData); return asyncTrainIter; } public static DataSetIterator testIterator() {
public static DataSetIterator trainIterator() throws UnsupportedKerasConfigurationException, IOException, InvalidKerasConfigurationException { runFeaturize(); DataSetIterator existingTrainingData = new ExistingMiniBatchDataSetIterator(new File("trainFolder"),"flowers-"+featureExtractorLayer+"-train-%d.bin"); DataSetIterator asyncTrainIter = new AsyncDataSetIterator(existingTrainingData); return asyncTrainIter; } public static DataSetIterator testIterator() {
DataSetIterator train = new ExistingMiniBatchDataSetIterator(new File(TRAIN_PATH)); DataSetIterator test = new ExistingMiniBatchDataSetIterator(new File(TEST_PATH));