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Visual Neural Network Applications
/*
* 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.deep_dream;
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.DeepDream;
import com.simiacryptus.mindseye.lang.Tensor;
import com.simiacryptus.mindseye.lang.cudnn.Precision;
import com.simiacryptus.mindseye.models.CVPipe_VGG19;
import com.simiacryptus.notebook.NotebookOutput;
import javax.annotation.Nonnull;
import java.awt.image.BufferedImage;
import java.util.Arrays;
import java.util.HashMap;
import java.util.Map;
/**
* The type Simple.
*/
public class Simple extends ImageScript {
/**
* The Resolution.
*/
public int resolution = 800;
/**
* The Content sources.
*/
public String[] contentSources = {
"https://upload.wikimedia.org/wikipedia/commons/thumb/9/97/The_Earth_seen_from_Apollo_17.jpg/1024px-The_Earth_seen_from_Apollo_17.jpg"
};
public void accept(@Nonnull NotebookOutput log) {
DeepDream.VGG19 styleTransfer = new DeepDream.VGG19();
Precision precision = Precision.Float;
styleTransfer.setTiled(false);
Arrays.stream(contentSources).forEach(contentSource ->
{
log.p("Content Source:");
log.p(log.png(ArtistryUtil.load(contentSource, resolution), "Content Image"));
BufferedImage canvasImage;
canvasImage = ArtistryUtil.load(contentSource, resolution);
Map dreamCoeff = new HashMap<>();
dreamCoeff.put(CVPipe_VGG19.Layer.Layer_1d, new DeepDream.ContentCoefficients(0, 1e-1));
dreamCoeff.put(CVPipe_VGG19.Layer.Layer_2b, new DeepDream.ContentCoefficients(0, 1e0));
DeepDream.StyleSetup styleSetup = new DeepDream.StyleSetup<>(precision,
ArtistryUtil.loadTensor(
contentSource,
canvasImage.getWidth(),
canvasImage.getHeight()
), dreamCoeff
);
styleTransfer.deepDream(log.getHttpd(), log, Tensor.fromRGB(canvasImage), styleSetup, getTrainingMinutes(), getMaxIterations(), isVerbose());
});
}
/**
* 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));
}
}
}