java使用DoGSIFTFeatureComparator抛出NullPointerException

Question

我试图将DoGSIFTFeatureComparator与FaceSimilarityEngine一起使用。这是我的密码：

import java.io.File;
import java.io.IOException;
import java.util.Map;
import java.util.Map.Entry;

import org.openimaj.image.DisplayUtilities;
import org.openimaj.image.FImage;
import org.openimaj.image.MBFImage;
import org.openimaj.image.colour.RGBColour;
import org.openimaj.image.ImageUtilities;
import org.openimaj.image.processing.face.detection.HaarCascadeDetector;
import org.openimaj.image.processing.face.detection.DetectedFace;
import org.openimaj.image.processing.face.feature.DoGSIFTFeature;
import org.openimaj.image.processing.face.feature.comparison.DoGSIFTFeatureComparator;
import org.openimaj.image.processing.face.similarity.FaceSimilarityEngine;
import org.openimaj.math.geometry.shape.Rectangle;

public class FaceSimilarity {
    public static void main(String[] args) throws IOException {
        final File iFile1 = new File("/Path/to/first/image.jpg");
        final File iFile2 = new File("/Path/to/second/image.jpg");
        final MBFImage mbImg1 = ImageUtilities.readMBF(iFile1);
        final MBFImage mbImg2 = ImageUtilities.readMBF(iFile2);
        final FImage image1 = mbImg1.flatten();
        final FImage image2 = mbImg2.flatten();

        final HaarCascadeDetector detector = HaarCascadeDetector.BuiltInCascade.frontalface_default.load();

        final DoGSIFTFeature.Extractor extractor = new DoGSIFTFeature.Extractor();

        final DoGSIFTFeatureComparator comparator = new DoGSIFTFeatureComparator();

        final FaceSimilarityEngine<DetectedFace, DoGSIFTFeature, FImage> engine = new FaceSimilarityEngine<>(detector, extractor, comparator);

        engine.setQuery(image1, "image1");
        engine.setTest(image2, "image2");

        engine.performTest();

        // rest of the code
    }
}

当FaceSimilarityEngine使用FKEFaceDetector、FacePathFeature提取器和FaceFVComparator时，同样的代码也会起作用，但上面的代码会导致以下错误消息：

Exception in thread "main" java.lang.NullPointerException
at org.openimaj.math.geometry.transforms.residuals.TransformedSITR2d.computeResidual(TransformedSITR2d.java:76)
at org.openimaj.math.model.fit.SimpleModelFitting.fitData(SimpleModelFitting.java:117)
at org.openimaj.feature.local.matcher.consistent.ConsistentLocalFeatureMatcher2d.findMatches(ConsistentLocalFeatureMatcher2d.java:138)
at org.openimaj.image.processing.face.feature.comparison.DoGSIFTFeatureComparator.compare(DoGSIFTFeatureComparator.java:152)
at org.openimaj.image.processing.face.feature.comparison.DoGSIFTFeatureComparator.compare(DoGSIFTFeatureComparator.java:68)
at org.openimaj.image.processing.face.similarity.FaceSimilarityEngine.performTest(FaceSimilarityEngine.java:224)
at // line of code with engine.performTest();

我认为DoGSIFTFeatureComparator可能不适用于FaceSimilarityEngine，因此我创建了这个类（除了FaceSimilarityEngine之外的导入是相同的）：

public class DogSiftCompare {
    public static void main(String[] args) throws IOException {
        // created FImages the same way as previous code

        final HaarCascadeDetector detector = HaarCascadeDetector.BuiltInCascade.frontalface_default.load();
        final DoGSIFTFeature.Extractor extractor = new DoGSIFTFeature.Extractor();
        final DoGSIFTFeatureComparator comparator = new DoGSIFTFeatureComparator();

        List<DetectedFace> faces = detector.detectFaces(image1);
        List<DetectedFace> faces2 = detector.detectFaces(image2);
        List<DoGSIFTFeature> features1 = new ArrayList<>();
        List<DoGSIFTFeature> features2 = new ArrayList<>();

        if (!faces.isEmpty()) {
            for (DetectedFace face : faces) {
                DoGSIFTFeature feature = extractor.extractFeature(face);
                features1.add(feature);
            }
        }
        if (!faces2.isEmpty()) {
            for (DetectedFace face : faces2) {
                DoGSIFTFeature feature = extractor.extractFeature(face);
                features2.add(feature);
            }
        }

        DetectedFace face1 = null;
        DetectedFace face2 = null;

        double bestScore = Double.MAX_VALUE;

        if (!features1.isEmpty() && !features2.isEmpty()) {
            for (int i = 0; i < features1.size(); i++) {
                for (int j = 0; j < features2.size(); j++) {
                    double score = comparator.compare(features1.get(i), features2.get(j));
                    if (score < bestScore) {
                        bestScore = score;
                        face1 = faces.get(i);
                        face2 = faces2.get(j);
                    }
                }
            }
        }
        // rest of code ...
    }
}

但是，运行此代码会产生与前一代码相同的错误：

Exception in thread "main" java.lang.NullPointerException
at org.openimaj.math.geometry.transforms.residuals.TransformedSITR2d.computeResidual(TransformedSITR2d.java:76)
at org.openimaj.math.model.fit.SimpleModelFitting.fitData(SimpleModelFitting.java:117)
at org.openimaj.feature.local.matcher.consistent.ConsistentLocalFeatureMatcher2d.findMatches(ConsistentLocalFeatureMatcher2d.java:138)
at org.openimaj.image.processing.face.feature.comparison.DoGSIFTFeatureComparator.compare(DoGSIFTFeatureComparator.java:152)
at //line of code with double score = comparator.compare(features1.get(i), features2.get(j));

所以我想我是在问，我是否缺少这个特定特性比较器的一个关键变量，或者这是DoGSIFTFeatureComparator本身的问题