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/*
* Copyright 2022 Amazon.com, Inc. or its affiliates. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance
* with the License. A copy of the License is located at
*
* http://aws.amazon.com/apache2.0/
*
* or in the "license" file accompanying this file. This file 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 ai.djl.modality.cv.output;
import ai.djl.modality.cv.Image;
import ai.djl.modality.cv.ImageFactory;
import ai.djl.util.JsonSerializable;
import ai.djl.util.JsonUtils;
import ai.djl.util.RandomUtils;
import com.google.gson.Gson;
import com.google.gson.JsonElement;
import com.google.gson.JsonSerializationContext;
import com.google.gson.JsonSerializer;
import java.lang.reflect.Type;
import java.nio.ByteBuffer;
import java.nio.charset.StandardCharsets;
import java.util.List;
/**
* A class representing the segmentation result of an image in an {@link
* ai.djl.Application.CV#SEMANTIC_SEGMENTATION} case.
*/
public class CategoryMask implements JsonSerializable {
private static final long serialVersionUID = 1L;
private static final int COLOR_BLACK = 0xFF000000;
private static final Gson GSON =
JsonUtils.builder()
.registerTypeAdapter(CategoryMask.class, new SegmentationSerializer())
.create();
private List classes;
private int[][] mask;
/**
* Constructs a Mask with the given data.
*
* @param classes the list of classes
* @param mask the category mask for each pixel in the image
*/
public CategoryMask(List classes, int[][] mask) {
this.classes = classes;
this.mask = mask;
}
/**
* Returns the list of classes.
*
* @return list of classes
*/
public List getClasses() {
return classes;
}
/**
* Returns the class for each pixel.
*
* @return the class for each pixel
*/
public int[][] getMask() {
return mask;
}
/** {@inheritDoc} */
@Override
public ByteBuffer toByteBuffer() {
return ByteBuffer.wrap(toJson().getBytes(StandardCharsets.UTF_8));
}
/** {@inheritDoc} */
@Override
public String toJson() {
return GSON.toJson(this) + '\n';
}
/**
* Extracts the detected objects from the image.
*
* @param image the original image
* @return the detected objects from the image
*/
public Image getMaskImage(Image image) {
return image.getMask(mask);
}
/**
* Extracts the specified object from the image.
*
* @param image the original image
* @param classId the class to extract from the image
* @return the specific object on the image
*/
public Image getMaskImage(Image image, int classId) {
int width = mask[0].length;
int height = mask.length;
int[][] selected = new int[height][width];
for (int h = 0; h < height; ++h) {
for (int w = 0; w < width; ++w) {
selected[h][w] = mask[h][w] == classId ? 1 : 0;
}
}
return image.getMask(selected);
}
/**
* Extracts the background from the image.
*
* @param image the original image
* @return the background of the image
*/
public Image getBackgroundImage(Image image) {
return getMaskImage(image, 0);
}
/**
* Highlights the detected object on the image with random colors.
*
* @param image the original image
* @param opacity the opacity of the overlay. Value is between 0 and 255 inclusive, where 0
* means the overlay is completely transparent and 255 means the overlay is completely
* opaque.
*/
public void drawMask(Image image, int opacity) {
drawMask(image, opacity, COLOR_BLACK);
}
/**
* Highlights the detected object on the image with random colors.
*
* @param image the original image
* @param opacity the opacity of the overlay. Value is between 0 and 255 inclusive, where 0
* means the overlay is completely transparent and 255 means the overlay is completely
* opaque.
* @param background replace the background with specified background color, use transparent
* color to remove background
*/
public void drawMask(Image image, int opacity, int background) {
int[] colors = generateColors(background, opacity);
Image maskImage = getColorOverlay(colors);
image.drawImage(maskImage, true);
}
/**
* Highlights the specified object with specific color.
*
* @param image the original image
* @param classId the class to draw on the image
* @param color the rgb color with opacity
* @param opacity the opacity of the overlay. Value is between 0 and 255 inclusive, where 0
* means the overlay is completely transparent and 255 means the overlay is completely
* opaque.
*/
public void drawMask(Image image, int classId, int color, int opacity) {
int[] colors = new int[classes.size()];
colors[classId] = color & 0xFFFFFF | opacity << 24;
Image colorOverlay = getColorOverlay(colors);
image.drawImage(colorOverlay, true);
}
private Image getColorOverlay(int[] colors) {
int height = mask.length;
int width = mask[0].length;
int[] pixels = new int[width * height];
for (int h = 0; h < height; h++) {
for (int w = 0; w < width; w++) {
int index = mask[h][w];
pixels[h * width + w] = colors[index];
}
}
return ImageFactory.getInstance().fromPixels(pixels, width, height);
}
private int[] generateColors(int background, int opacity) {
int[] colors = new int[classes.size()];
colors[0] = background;
for (int i = 1; i < classes.size(); i++) {
int red = RandomUtils.nextInt(256);
int green = RandomUtils.nextInt(256);
int blue = RandomUtils.nextInt(256);
colors[i] = opacity << 24 | red << 16 | green << 8 | blue;
}
return colors;
}
/** A customized Gson serializer to serialize the {@code Segmentation} object. */
public static final class SegmentationSerializer implements JsonSerializer {
/** {@inheritDoc} */
@Override
public JsonElement serialize(CategoryMask src, Type type, JsonSerializationContext ctx) {
return ctx.serialize(src.getMask());
}
}
}
