本文整理汇总了Java中boofcv.io.image.UtilImageIO类的典型用法代码示例。如果您正苦于以下问题：Java UtilImageIO类的具体用法？Java UtilImageIO怎么用？Java UtilImageIO使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
UtilImageIO类属于boofcv.io.image包，在下文中一共展示了UtilImageIO类的15个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: main
import boofcv.io.image.UtilImageIO; //导入依赖的package包/类
public static void main(String[] args) throws IOException {
FeatureFinder[] finders = new FeatureFinder[] {
new FindCardColourFeatures(),
new FindCardShadingFeatures(),
new FindCardShapeFeatures()
};
for (FeatureFinder finder : finders) {
List<String> summaries = new ArrayList<>();
for (File file : new File("data/train-out").listFiles((dir, name) -> name.matches(".*\\.jpg"))) {
BufferedImage image = UtilImageIO.loadImage(file.getAbsolutePath());
double[] features = finder.find(image, false);
if (features != null) {
summaries.add(finder.getSummaryLine(file.getAbsolutePath(), features));
}
}
Path p = Paths.get("data/train-out-" + finder.getFileSuffix());
Files.write(p, summaries);
}
}
示例2: main
import boofcv.io.image.UtilImageIO; //导入依赖的package包/类
public static void main(String[] args) throws IOException {
FeatureFinder[] finders = new FeatureFinder[] {
new FindCardColourFeatures(2),
// new FindCardShadingFeatures(),
// new FindCardShapeFeatures()
};
for (FeatureFinder finder : finders) {
List<String> summaries = new ArrayList<>();
for (File d : TrainingDataV2.LABELLED_DIRECTORY.listFiles((dir, name) -> !name.matches("\\..*"))) {
for (File file : d.listFiles((dir, name) -> name.matches(".*\\.jpg"))) {
BufferedImage image = UtilImageIO.loadImage(file.getAbsolutePath());
double[] features = finder.find(image, false);
if (features != null) {
summaries.add(finder.getSummaryLine(file.getAbsolutePath(), features));
}
}
}
Path p = Paths.get("data/train-out-" + finder.getFileSuffix());
Files.write(p, summaries);
}
}
示例3: computeAccuracyOnTrainingData
import boofcv.io.image.UtilImageIO; //导入依赖的package包/类
public static double computeAccuracyOnTrainingData() throws IOException {
FindCardNumberFeatures cardFeatureCounter = new FindCardNumberFeatures();
int correct = 0;
int total = 0;
for (File file : new File("data/train-out").listFiles((dir, name) -> name.matches(".*\\.jpg"))) {
System.out.println(file);
int predictedNumber = (int) cardFeatureCounter.find(UtilImageIO.loadImage(file.getAbsolutePath()), false)[0];
int actualNumber = cardFeatureCounter.getLabelFromFilename(file.getName());
if (predictedNumber == actualNumber) {
correct++;
} else {
System.out.println("Incorrect, predicted " + predictedNumber);
}
total++;
}
System.out.println("Correct: " + correct);
System.out.println("Total: " + total);
double accuracy = ((double) correct)/total * 100;
System.out.println("Accuracy: " + ((int) accuracy) + " percent");
return accuracy;
}
示例4: main
import boofcv.io.image.UtilImageIO; //导入依赖的package包/类
public static void main(String[] args) throws IOException {
File testFile = new File("data/20170106_205743.jpg");
CardDetector cardDetector = new CardDetector();
List<CardImage> images = cardDetector.detect(testFile.getAbsolutePath(), false);
List<Card> cards = Files.lines(Paths.get(testFile.getAbsolutePath().replace(".jpg", ".txt")))
.map(Card::new)
.collect(Collectors.toList());
File outDir = new File("data/test-v2");;
outDir.mkdirs();
for (int i = 0; i < images.size(); i++) {
CardImage image = images.get(i);
Card card = cards.get(i);
File labelledDirectory = new File(outDir, card.getDescription().replace(" ", "-"));
labelledDirectory.mkdirs();
File newFile = new File(labelledDirectory, testFile.getName().replace(".jpg", "_" + (i + 1) + ".jpg"));
UtilImageIO.saveImage(image.getImage(), newFile.getAbsolutePath());
}
}
示例5: view
import boofcv.io.image.UtilImageIO; //导入依赖的package包/类
public static void view(File directory) {
ListDisplayPanel panel = new ListDisplayPanel();
int numCols = 20;
int numImagesPerLabel = -1;
char prevNumLabel = ' ';
for (File d : directory.listFiles((dir, name) -> !name.matches("\\..*"))) {
String label = d.getName();
BufferedImage[] bufferedImages = Arrays.stream(d.listFiles((dir, name) -> name.matches(".*\\.jpg")))
.map(f -> UtilImageIO.loadImage(f.getAbsolutePath()))
.map(bi -> resize(bi, bi.getWidth() / 3, bi.getHeight() / 3))
.collect(Collectors.toList())
.toArray(new BufferedImage[0]);
panel.addItem(new ImageGridPanel((bufferedImages.length / numCols) + 1, numCols, bufferedImages), label);
System.out.println(label + "\t" + bufferedImages.length);
if (prevNumLabel != label.charAt(0)) {
numImagesPerLabel = bufferedImages.length;
prevNumLabel = label.charAt(0);
} else if (numImagesPerLabel != bufferedImages.length) {
throw new IllegalStateException("Expected " + numImagesPerLabel + " images, but only found " + bufferedImages.length + " for " + label);
}
}
ShowImages.showWindow(panel, ViewLabelledImagesV2.class.getSimpleName(), true);
}
示例6: main
import boofcv.io.image.UtilImageIO; //导入依赖的package包/类
public static void main(String[] args) throws IOException {
if (!RAW_LABELLED_DIRECTORY.exists()) {
CardDetector cardDetector = new CardDetector(4, 66);
File outDir = RAW_LABELLED_DIRECTORY;
outDir.mkdirs();
for (File d : RAW_SORTED_DIRECTORY.listFiles((dir, name) -> name.matches("\\d"))) {
int numberLabel = Integer.valueOf(d.getName());
for (File file : d.listFiles((dir, name) -> name.matches(".*\\.jpg"))) {
System.out.println(file);
List<CardImage> images = cardDetector.detect(file.getAbsolutePath(), false, true, 3, 9);
int i = 0;
for (CardImage image : images) {
Card card = new Card(numberLabel, (i % 9) / 3, i / 9, i % 3);
File labelledDirectory = new File(outDir, card.getDescription().replace(" ", "-"));
labelledDirectory.mkdirs();
File newFile = new File(labelledDirectory, file.getName().replace(".jpg", "_" + numberLabel + "_" + i + ".jpg"));
UtilImageIO.saveImage(image.getImage(), newFile.getAbsolutePath());
i++;
}
}
}
}
ViewLabelledImagesV2.view(RAW_LABELLED_DIRECTORY);
}
示例7: main
import boofcv.io.image.UtilImageIO; //导入依赖的package包/类
public static void main(String[] args) {
CardDetector cardDetector = new CardDetector();
File outDir = new File("data/train-out");
outDir.mkdirs();
Arrays.stream(new File("data/train").listFiles((dir, name) -> name.matches(".*\\.jpg"))).forEach(
file -> {
try {
System.out.println(file);
List<CardImage> images = cardDetector.detect(file.getAbsolutePath());
int i = 1;
for (CardImage image : images) {
File newFile = new File(outDir, file.getName().replace(".jpg", "_" + i++ + ".jpg"));
UtilImageIO.saveImage(image.getImage(), newFile.getAbsolutePath());
}
} catch (IOException e) {
throw new RuntimeException(e);
}
}
);
}
示例8: main
import boofcv.io.image.UtilImageIO; //导入依赖的package包/类
public static void main(String[] args) {
CardDetector cardDetector = new CardDetector();
File outDir = new File("data/test-out");
outDir.mkdirs();
File file = new File("data/20170106_205743.jpg");
try {
System.out.println(file);
List<CardImage> images = cardDetector.detect(file.getAbsolutePath());
int i = 1;
for (CardImage image : images) {
File newFile = new File(outDir, file.getName().replace(".jpg", "_" + i++ + ".jpg"));
UtilImageIO.saveImage(image.getImage(), newFile.getAbsolutePath());
}
} catch (IOException e) {
throw new RuntimeException(e);
}
}
示例9: init
import boofcv.io.image.UtilImageIO; //导入依赖的package包/类
@Override
public void init(RunConfig config) throws InvalidTestFormatException {
super.init(config);
File file = new File(GR.getGoldenDir(), goldenFileName);
try {
rnd = new Random(repeats);
InputStream inImageStream = MTTestResourceManager.openFileAsInputStream(file.getPath());
ImageUInt8 inImage = UtilImageIO.loadPGM_U8(inImageStream, (ImageUInt8) null);
ImageFloat32 convImage = ConvertImage.convert(inImage,
(ImageFloat32) null);
levels = 4;
denoiser = FactoryImageDenoise.waveletBayes(ImageFloat32.class,
levels, 0, 255);
noisy = convImage.clone();
denoisy = convImage.clone();
} catch (IOException e) {
throw new GoldenFileNotFoundException(file, this.getClass());
}
}
示例10: init
import boofcv.io.image.UtilImageIO; //导入依赖的package包/类
@Override
public void init(RunConfig config) throws InvalidTestFormatException {
super.init(config);
File file = new File(GR.getGoldenDir(), goldenFileName);
try {
rnd = new Random(repeats);
InputStream inImageStream = MTTestResourceManager.openFileAsInputStream(file.getPath());
ImageUInt8 inImage = UtilImageIO.loadPGM_U8(inImageStream, (ImageUInt8) null);
ImageFloat32 convImage = ConvertImage.convert(inImage, (ImageFloat32) null);
levels = 4;
denoiser = FactoryImageDenoise.waveletSure(ImageFloat32.class, levels, 0, 255);
noisy = convImage.clone();
denoisy = convImage.clone();
} catch (IOException e) {
throw new GoldenFileNotFoundException(file, this.getClass());
}
}
示例11: init
import boofcv.io.image.UtilImageIO; //导入依赖的package包/类
@Override
public void init(RunConfig config) throws InvalidTestFormatException {
super.init(config);
File file = new File(GR.getGoldenDir(), goldenFileName);
try {
InputStream inImageStream = MTTestResourceManager.openFileAsInputStream(file.getPath());
ImageUInt8 inImage = UtilImageIO.loadPGM_U8(inImageStream, (ImageUInt8) null);
image = ConvertImage.convert(inImage, (ImageFloat32) null);
ImageUInt8 bin = new ImageUInt8(image.width, image.height);
double mean = ImageStatistics.mean(image);
ThresholdImageOps.threshold(image, bin, (float) mean, true);
filtered = BinaryImageOps.erode8(bin, 1, null);
filtered = BinaryImageOps.dilate8(filtered, 1, null);
} catch (IOException e) {
throw new GoldenFileNotFoundException(file, this.getClass());
}
}
示例12: init
import boofcv.io.image.UtilImageIO; //导入依赖的package包/类
@Override
public void init(RunConfig config) throws InvalidTestFormatException {
super.init(config);
File file = new File(GR.getGoldenDir(), goldenFileName);
try {
rnd = new Random(repeats);
InputStream inImageStream = MTTestResourceManager.openFileAsInputStream(file.getPath());
ImageUInt8 inImage = UtilImageIO.loadPGM_U8(inImageStream, (ImageUInt8) null);
ImageFloat32 convImage = ConvertImage.convert(inImage,
(ImageFloat32) null);
levels = 4;
denoiser = FactoryImageDenoise.waveletVisu(ImageFloat32.class,
levels, 0, 255);
noisy = convImage.clone();
denoisy = convImage.clone();
} catch (IOException e) {
throw new GoldenFileNotFoundException(file, this.getClass());
}
}
示例13: processKinect
import boofcv.io.image.UtilImageIO; //导入依赖的package包/类
@Override
public void processKinect(MultiSpectral<ImageUInt8> rgb, ImageUInt16 depth, long timeRgb, long timeDepth) {
System.out.println(frameNumber+" "+timeRgb);
try {
logFile.write(String.format("%10d %d %d\n",frameNumber,timeRgb,timeDepth).getBytes());
logFile.flush();
UtilImageIO.savePPM(rgb, String.format("log/rgb%07d.ppm", frameNumber), buffer);
UtilOpenKinect.saveDepth(depth, String.format("log/depth%07d.depth", frameNumber), buffer);
frameNumber++;
if( showImage ) {
ConvertBufferedImage.convertTo_U8(rgb,buffRgb);
gui.repaint();
}
} catch (IOException e) {
e.printStackTrace();
}
}
示例14: main
import boofcv.io.image.UtilImageIO; //导入依赖的package包/类
public static void main( String args[] ) {
// load images with lens distortion removed
String dir = "../data/applet/stereo/";
BufferedImage imageA = UtilImageIO.loadImage(dir + "mono_wall_01.jpg");
BufferedImage imageB = UtilImageIO.loadImage(dir + "mono_wall_03.jpg");
// Find a set of point feature matches
List<AssociatedPair> matches = ExampleFundamentalMatrix.computeMatches(imageA,imageB);
// Prune matches using the epipolar constraint
List<AssociatedPair> inliers = new ArrayList<AssociatedPair>();
DenseMatrix64F F = ExampleFundamentalMatrix.robustFundamental(matches, inliers);
// display the inlier matches found using the robust estimator
AssociationPanel panel = new AssociationPanel(20);
panel.setAssociation(inliers);
panel.setImages(imageA,imageB);
ShowImages.showWindow(panel, "Inlier Pairs");
rectify(F,inliers,imageA,imageB);
}
示例15: sharpen
import boofcv.io.image.UtilImageIO; //导入依赖的package包/类
/**
* When an image is sharpened the intensity of edges are made more extreme while flat regions remain unchanged.
*/
public static void sharpen() {
// BufferedImage buffered = UtilImageIO.loadImage("../data/applet/enhance/dull.jpg");
BufferedImage buffered = UtilImageIO.loadImage("../data/applet/enhance/dark.jpg");
ImageUInt8 gray = ConvertBufferedImage.convertFrom(buffered,(ImageUInt8)null);
ImageUInt8 adjusted = new ImageUInt8(gray.width, gray.height);
ListDisplayPanel panel = new ListDisplayPanel();
EnhanceImageOps.sharpen4(gray, adjusted);
panel.addImage(ConvertBufferedImage.convertTo(adjusted,null),"Sharpen-4");
EnhanceImageOps.sharpen8(gray, adjusted);
panel.addImage(ConvertBufferedImage.convertTo(adjusted,null),"Sharpen-8");
panel.addImage(ConvertBufferedImage.convertTo(gray,null),"Original");
panel.setPreferredSize(new Dimension(gray.width,gray.height));
ShowImages.showWindow(panel,"Sharpen");
}