public GenderComputation(NeuralNetwork network, int numberOfIterations = 1) { Contract.Requires(network != null); Contract.Requires(numberOfIterations > 0); Network = network; this.binaryOutput = network.OutputInterface.Length == 2; NumberOfIterations = numberOfIterations; VerifyNetwork(); if (numberOfIterations != 1) resetHandler = new ResetHandler(Network, false); }
public RecurrentNoiseRemoval(NeuralNetwork network, ImageBuffer source, double noiseLevel) { Contract.Requires(network != null); Contract.Requires(source != null); Contract.Requires(noiseLevel >= 0.0 && noiseLevel <= 1.0); Network = network; VerifyNetwork(); Source = source; NoiseLevel = noiseLevel; Dest = new ImageBuffer(source.Width, source.Height); rNetwork = Network; gNetwork = Network.Clone(); bNetwork = Network.Clone(); rReset = new ResetHandler(rNetwork, false); gReset = new ResetHandler(gNetwork, false); bReset = new ResetHandler(bNetwork, false); size2 = Size / 2; swComp = new Stopwatch(); swRemove = new Stopwatch(); this.noiseLevel = ImgNoise.Features.Helpers.GetNoiseLevel(NoiseLevel); }