92 lines
2.8 KiB
Java
92 lines
2.8 KiB
Java
/*
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* ******************************************************************************
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* *
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* *
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* * This program and the accompanying materials are made available under the
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* * terms of the Apache License, Version 2.0 which is available at
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* * https://www.apache.org/licenses/LICENSE-2.0.
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* *
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* * See the NOTICE file distributed with this work for additional
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* * information regarding copyright ownership.
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* * Unless required by applicable law or agreed to in writing, software
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* * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* * License for the specific language governing permissions and limitations
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* * under the License.
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* *
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* * SPDX-License-Identifier: Apache-2.0
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* *****************************************************************************
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*/
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package org.deeplearning4j.malmo;
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import java.util.HashMap;
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import org.nd4j.linalg.api.ndarray.INDArray;
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import org.nd4j.linalg.factory.Nd4j;
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import com.microsoft.msr.malmo.ByteVector;
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import com.microsoft.msr.malmo.TimestampedVideoFrameVector;
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import com.microsoft.msr.malmo.WorldState;
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public class MalmoObservationSpacePixels extends MalmoObservationSpace {
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int xSize;
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int ySize;
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HashMap<String, Integer> blockMap = new HashMap<String, Integer>();
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/**
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* Construct observation space from a bitmap size. Assumes 3 color channels.
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*
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* @param xSize total x size of bitmap
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* @param ySize total y size of bitmap
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*/
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public MalmoObservationSpacePixels(int xSize, int ySize) {
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this.xSize = xSize;
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this.ySize = ySize;
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}
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@Override
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public String getName() {
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return "Box(" + ySize + "," + xSize + ",3)";
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}
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@Override
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public int[] getShape() {
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return new int[] {ySize, xSize, 3};
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}
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@Override
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public INDArray getLow() {
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INDArray low = Nd4j.create(getShape());
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return low;
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}
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@Override
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public INDArray getHigh() {
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INDArray high = Nd4j.linspace(255, 255, xSize * ySize * 3).reshape(getShape());
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return high;
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}
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public MalmoBox getObservation(WorldState world_state) {
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TimestampedVideoFrameVector observations = world_state.getVideoFrames();
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double rawPixels[] = new double[xSize * ySize * 3];
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if (!observations.isEmpty()) {
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ByteVector pixels = observations.get((int) (observations.size() - 1)).getPixels();
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int i = 0;
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for (int x = 0; x < xSize; ++x)
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for (int y = 0; y < ySize; ++y)
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for (int c = 2; c >= 0; --c) // BGR -> RGB
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{
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rawPixels[i] = pixels.get(3 * x * ySize + y * 3 + c) / 255.0;
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i++;
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}
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}
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return new MalmoBox(rawPixels);
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}
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}
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