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Visual Neural Network Applications
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/*
 * Copyright (c) 2019 by Andrew Charneski.
 *
 * The author licenses this file to you under the
 * Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance
 * with the License.  You may obtain a copy
 * of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing,
 * software distributed under the License is distributed on an
 * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
 * KIND, either express or implied.  See the License for the
 * specific language governing permissions and limitations
 * under the License.
 */

package com.simiacryptus.mindseye.texture_generation;

import com.simiacryptus.aws.exe.EC2NotebookRunner;
import com.simiacryptus.aws.exe.LocalNotebookRunner;
import com.simiacryptus.mindseye.ImageScript;
import com.simiacryptus.mindseye.applications.ArtistryUtil;
import com.simiacryptus.mindseye.applications.TextureGeneration;
import com.simiacryptus.mindseye.lang.Tensor;
import com.simiacryptus.mindseye.lang.cudnn.Precision;
import com.simiacryptus.mindseye.models.CVPipe_VGG19;
import com.simiacryptus.mindseye.test.TestUtil;
import com.simiacryptus.notebook.NotebookOutput;

import javax.annotation.Nonnull;
import java.util.Arrays;
import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;

/**
 * The type Simple.
 */
public class Simple extends ImageScript {


  /**
   * The Coeff style mean.
   */
  public double coeff_style_mean = 1e1;
  /**
   * The Coeff style bandCovariance.
   */
  public double coeff_style_cov = 1e0;
  /**
   * The Style sources.
   */
  public String[] styleSources = {
      "git://github.com/jcjohnson/fast-neural-style.git/master/images/styles/starry_night_crop.jpg"
  };
  /**
   * The Resolution.
   */
  public int resolution = 800;
  /**
   * The Dream coeff.
   */
  public double dreamCoeff = 1e1;

  public void accept(@Nonnull NotebookOutput log) {

    TextureGeneration.VGG19 textureGeneration = new TextureGeneration.VGG19();
    Precision precision = Precision.Float;
    textureGeneration.parallelLossFunctions = true;
    textureGeneration.setTiling(3);
    log.p("Style Source:");
    for (final CharSequence styleSource : styleSources) {
      log.p(log.png(ArtistryUtil.load(styleSource, resolution), "Style Image"));
    }
    final Map, TextureGeneration.StyleCoefficients> styles = TestUtil.buildMap(x ->
        x.put(
            Arrays.asList(styleSources),
            new TextureGeneration.StyleCoefficients(
                TextureGeneration.CenteringMode.Origin)
                .set(CVPipe_VGG19.Layer.Layer_0, coeff_style_mean, coeff_style_cov, dreamCoeff)
                .set(CVPipe_VGG19.Layer.Layer_1a, coeff_style_mean, coeff_style_cov, dreamCoeff)
                .set(CVPipe_VGG19.Layer.Layer_1b, coeff_style_mean, coeff_style_cov, dreamCoeff)
                .set(CVPipe_VGG19.Layer.Layer_1c, coeff_style_mean, coeff_style_cov, dreamCoeff)
        ));
    Tensor canvasImage = ArtistryUtil.paint_Plasma(3, 1000.0, 1.1, resolution);
    TextureGeneration.StyleSetup styleSetup = new TextureGeneration.StyleSetup(precision,
        TestUtil.buildMap(y -> y.putAll(styles.keySet().stream().flatMap(x -> x.stream())
            .collect(Collectors.toMap(x -> x, file -> ArtistryUtil.load(file, resolution))))), styles);
    log.p("Input Parameters:");
    log.eval(() -> {
      return ArtistryUtil.toJson(styleSetup);
    });
    textureGeneration.optimize(
        log,
        textureGeneration.measureStyle(styleSetup), canvasImage,
        getTrainingMinutes(),
        getMaxIterations(), isVerbose(), styleSetup.precision
    );
  }

  /**
   * The type Local.
   */
  public static class Local {
    /**
     * The entry point of application.
     *
     * @param args the input arguments
     * @throws Exception the exception
     */
    public static void main(String... args) throws Exception {
      LocalNotebookRunner.run(LocalNotebookRunner.getTask(Simple.class));
    }
  }

  /**
   * The type Ec 2.
   */
  public static class EC2 {
    /**
     * The entry point of application.
     *
     * @param args the input arguments
     * @throws Exception the exception
     */
    public static void main(String... args) throws Exception {
      EC2NotebookRunner.run(LocalNotebookRunner.getTask(Simple.class));
    }
  }

}