Examples with ParseBinaryTorch7 deepboof.io.torch7.ParseBinaryTorch7 used on opensource projects

Example 1 with ParseBinaryTorch7

use of deepboof.io.torch7.ParseBinaryTorch7 in project BoofCV by lessthanoptimal.

the class ImageClassifierResNet method loadModel.

@Override
public void loadModel(File path) throws IOException {
    String name = String.format("resnet/resnet-%d.t7", resnetID);
    List<TorchObject> list = new ParseBinaryTorch7().parse(new File(path, name));
    TorchGeneric torchSequence = (TorchGeneric) list.get(0);
    // mean = torchListToArray( (TorchList)torchNorm.get("mean"));
    // stdev = torchListToArray( (TorchList)torchNorm.get("std"));
    SequenceAndParameters<Tensor_F32, Function<Tensor_F32>> seqparam = ConvertTorchToBoofForward.convert(torchSequence);
    System.out.println("Bread here");
}

Example 2 with ParseBinaryTorch7

use of deepboof.io.torch7.ParseBinaryTorch7 in project BoofCV by lessthanoptimal.

the class ImageClassifierNiNImageNet method loadModel.

@Override
public void loadModel(File directory) throws IOException {
    List<TorchObject> list = new ParseBinaryTorch7().parse(new File(directory, "nin_bn_final.t7"));
    TorchGeneric torchSequence = ((TorchGeneric) list.get(0)).get("model");
    TorchGeneric torchNorm = torchSequence.get("transform");
    mean = torchListToArray((TorchList) torchNorm.get("mean"));
    stdev = torchListToArray((TorchList) torchNorm.get("std"));
    SequenceAndParameters<Tensor_F32, Function<Tensor_F32>> seqparam = ConvertTorchToBoofForward.convert(torchSequence);
    network = seqparam.createForward(3, imageCrop, imageCrop);
    tensorOutput = new Tensor_F32(WI(1, network.getOutputShape()));
    TorchList torchCategories = (TorchList) new ParseAsciiTorch7().parse(new File(directory, "synset.t7")).get(0);
    categories.clear();
    for (int i = 0; i < torchCategories.list.size(); i++) {
        categories.add(((TorchString) torchCategories.list.get(i)).message);
    }
}

Example 3 with ParseBinaryTorch7

use of deepboof.io.torch7.ParseBinaryTorch7 in project BoofCV by lessthanoptimal.

the class ImageClassifierVggCifar10 method loadModel.

/**
 * Expects there to be two files in the provided directory:<br>
 * YuvStatistics.txt<br>
 * model.net<br>
 *
 * @param directory Directory containing model files
 * @throws IOException Throw if anything goes wrong while reading data
 */
@Override
public void loadModel(File directory) throws IOException {
    stats = DeepModelIO.load(new File(directory, "YuvStatistics.txt"));
    SequenceAndParameters<Tensor_F32, Function<Tensor_F32>> sequence = new ParseBinaryTorch7().parseIntoBoof(new File(directory, "model.net"));
    network = sequence.createForward(3, inputSize, inputSize);
    tensorOutput = new Tensor_F32(WI(1, network.getOutputShape()));
    BorderType type = BorderType.valueOf(stats.border);
    localNorm = new ImageLocalNormalization<>(GrayF32.class, type);
    kernel = DataManipulationOps.create1D_F32(stats.kernel);
}