Examples with TupleDesc_F64 boofcv.struct.feature.TupleDesc_F64 used on opensource projects

Example 26 with TupleDesc_F64

use of boofcv.struct.feature.TupleDesc_F64 in project BoofCV by lessthanoptimal.

the class TestHistogramFeatureOps method histogram_PL_F32_compareToSingle.

/**
 * Compare to single band image.  Results should be identical
 */
@Test
public void histogram_PL_F32_compareToSingle() {
    GrayF32 image = new GrayF32(width, height);
    ImageMiscOps.fillUniform(image, rand, -100, 100);
    Planar<GrayF32> ms = new Planar<>(GrayF32.class, width, height, 1);
    ms.setBand(0, image);
    TupleDesc_F64 expected = new TupleDesc_F64(200);
    Histogram_F64 found = new Histogram_F64(200);
    found.setRange(0, -100, 100);
    HistogramFeatureOps.histogram(image, -100, 100, expected);
    HistogramFeatureOps.histogram_F32(ms, found);
    for (int i = 0; i < found.size(); i++) {
        assertEquals(expected.getDouble(i), found.getDouble(i), 1e-8);
    }
}

Example 27 with TupleDesc_F64

use of boofcv.struct.feature.TupleDesc_F64 in project BoofCV by lessthanoptimal.

the class TestHistogramFeatureOps method histogram_U8.

@Test
public void histogram_U8() {
    GrayU8 image = new GrayU8(width, height);
    image.set(2, 3, 40);
    image.set(2, 4, 40);
    image.set(2, 5, 40);
    image.set(2, 6, 40);
    image.set(5, 6, 255);
    image.set(5, 7, 255);
    TupleDesc_F64 histogram = new TupleDesc_F64(256);
    randomFill(histogram);
    double[] expected = new double[256];
    expected[0] = width * height - 6;
    expected[40] = 4.0;
    expected[255] = 2.0;
    HistogramFeatureOps.histogram(image, 255, histogram);
    checkEquals(histogram, expected);
    // now have a different max and less bins than values
    histogram = new TupleDesc_F64(30);
    randomFill(histogram);
    image.set(5, 6, 150);
    image.set(5, 7, 150);
    image.set(5, 8, 41);
    expected = new double[30];
    expected[0] = width * height - 7;
    expected[5] = 4.0;
    expected[6] = 1.0;
    expected[22] = 2.0;
    HistogramFeatureOps.histogram(image, 200, histogram);
    checkEquals(histogram, expected);
}

Example 28 with TupleDesc_F64

use of boofcv.struct.feature.TupleDesc_F64 in project BoofCV by lessthanoptimal.

the class TestHistogramFeatureOps method histogram_F32.

@Test
public void histogram_F32() {
    GrayF32 image = new GrayF32(width, height);
    image.set(2, 3, 40);
    image.set(2, 4, 40);
    image.set(2, 5, 40);
    image.set(2, 6, 40);
    image.set(5, 6, 255);
    // should just barely be in bin 255
    image.set(5, 7, 255f * 255f / 256f);
    // this should go into bin 255 also
    image.set(5, 8, 254.9f);
    TupleDesc_F64 histogram = new TupleDesc_F64(256);
    randomFill(histogram);
    double[] expected = new double[256];
    expected[0] = width * height - 7;
    expected[40] = 4.0;
    expected[255] = 3.0;
    HistogramFeatureOps.histogram(image, 0, 255, histogram);
    checkEquals(histogram, expected);
    // now have a different max and less bins than values
    histogram = new TupleDesc_F64(30);
    randomFill(histogram);
    image.set(5, 6, 150);
    image.set(5, 7, 150);
    image.set(5, 8, 150);
    image.set(5, 9, 49);
    expected = new double[30];
    expected[10] = width * height - 8;
    expected[14] = 5.0;
    expected[25] = 3.0;
    HistogramFeatureOps.histogram(image, -100, 200, histogram);
    checkEquals(histogram, expected);
}

Example 29 with TupleDesc_F64

use of boofcv.struct.feature.TupleDesc_F64 in project BoofCV by lessthanoptimal.

the class TestHistogramFeatureOps method histogram_U16.

@Test
public void histogram_U16() {
    GrayU16 image = new GrayU16(width, height);
    image.set(2, 3, 40000);
    image.set(2, 4, 40000);
    image.set(2, 5, 40000);
    image.set(2, 6, 40000);
    image.set(5, 6, 65535);
    image.set(5, 7, 65535);
    TupleDesc_F64 histogram = new TupleDesc_F64(256);
    randomFill(histogram);
    double[] expected = new double[256];
    expected[0] = width * height - 6;
    expected[156] = 4.0;
    expected[255] = 2.0;
    HistogramFeatureOps.histogram(image, 65535, histogram);
    checkEquals(histogram, expected);
}

Example 30 with TupleDesc_F64

use of boofcv.struct.feature.TupleDesc_F64 in project BoofCV by lessthanoptimal.

the class TestDescribeDenseSiftAlg method process.

public void process(GrayF32 derivX, GrayF32 derivY) {
    DescribeDenseSiftAlg<GrayF32> alg = new DescribeDenseSiftAlg<>(4, 4, 8, 0.5, 0.2, 10, 10, GrayF32.class);
    alg.setImageGradient(derivX, derivY);
    alg.process();
    List<TupleDesc_F64> list = alg.getDescriptors().toList();
    int r = alg.getCanonicalRadius();
    int cols = (100 - 2 * r) / 10;
    int rows = (102 - 2 * r) / 10;
    assertEquals(cols * rows, list.size());
    int w = derivX.width - 2 * r;
    int h = derivX.height - 2 * r;
    TupleDesc_F64 expected = new TupleDesc_F64(128);
    int i = 0;
    for (int row = 0; row < rows; row++) {
        for (int col = 0; col < cols; col++, i++) {
            int x = col * w / (cols - 1) + r;
            int y = row * h / (rows - 1) + r;
            TupleDesc_F64 found = list.get(i);
            alg.computeDescriptor(x, y, expected);
            for (int j = 0; j < 128; j++) {
                assertEquals(expected.value[j], found.value[j], 1e-8);
            }
        }
    }
}