Examples with ImageRectangle boofcv.struct.ImageRectangle used on opensource projects

Example 16 with ImageRectangle

use of boofcv.struct.ImageRectangle in project BoofCV by lessthanoptimal.

the class TextureGrayTrackerObjectRectangleTests method convexFill.

public static void convexFill(Polygon2D_I32 poly, GrayU8 image, double value) {
    int minX = Integer.MAX_VALUE;
    int maxX = Integer.MIN_VALUE;
    int minY = Integer.MAX_VALUE;
    int maxY = Integer.MIN_VALUE;
    for (int i = 0; i < poly.size(); i++) {
        Point2D_I32 p = poly.vertexes.data[i];
        if (p.y < minY) {
            minY = p.y;
        } else if (p.y > maxY) {
            maxY = p.y;
        }
        if (p.x < minX) {
            minX = p.x;
        } else if (p.x > maxX) {
            maxX = p.x;
        }
    }
    ImageRectangle bounds = new ImageRectangle(minX, minY, maxX, maxY);
    BoofMiscOps.boundRectangleInside(image, bounds);
    Point2D_F64 p = new Point2D_F64();
    Polygon2D_F64 poly64 = new Polygon2D_F64(4);
    for (int i = 0; i < 4; i++) poly64.vertexes.data[i].set(poly.vertexes.data[i].x, poly.vertexes.data[i].y);
    for (int y = bounds.y0; y < bounds.y1; y++) {
        p.y = y;
        for (int x = bounds.x0; x < bounds.x1; x++) {
            p.x = x;
            if (Intersection2D_F64.containConvex(poly64, p)) {
                GeneralizedImageOps.set(image, x, y, value);
            }
        }
    }
}

Example 17 with ImageRectangle

use of boofcv.struct.ImageRectangle in project BoofCV by lessthanoptimal.

the class TestTldDetection method selectBestRegionsFern_smaller.

/**
 * See if the case where there are fewer than the maximum number of regions is handled correctly
 */
@Test
public void selectBestRegionsFern_smaller() {
    TldDetection<GrayU8> alg = new TldDetection<>();
    alg.config = new TldParameters();
    alg.config.maximumCascadeConsider = 20;
    // all 10 should be accepted
    for (int i = 0; i < 10; i++) {
        alg.fernInfo.grow();
        alg.fernInfo.get(i).r = new ImageRectangle(i, i, i, i);
        alg.fernInfo.get(i).sumP = 20;
        alg.fernInfo.get(i).sumN = 6;
    }
    alg.selectBestRegionsFern(200, 200);
    assertEquals(10, alg.fernRegions.size());
}

Example 18 with ImageRectangle

use of boofcv.struct.ImageRectangle in project BoofCV by lessthanoptimal.

the class TestTldDetection method computeTemplateConfidence.

@Test
public void computeTemplateConfidence() {
    TldDetection<GrayU8> alg = new TldDetection<>();
    alg.config = new TldParameters();
    alg.config.confidenceThresholdUpper = 0.6;
    alg.template = new HelperTemplate();
    for (int i = 0; i < 4; i++) {
        alg.fernRegions.add(new ImageRectangle(i, i, i, i));
    }
    alg.computeTemplateConfidence();
    assertEquals(3, alg.candidateDetections.size());
    for (int i = 0; i < 3; i++) {
        TldRegion r = alg.candidateDetections.get(i);
        assertEquals(0, r.connections);
        assertTrue(r.confidence > 0.6);
        assertTrue(r.rect.x0 != 0);
    }
}

Example 19 with ImageRectangle

use of boofcv.struct.ImageRectangle in project BoofCV by lessthanoptimal.

the class TestTldDetection method selectBestRegionsFern_larger.

/**
 * See if the case where there are more than the maximum number of regions is handled correctly
 */
@Test
public void selectBestRegionsFern_larger() {
    TldDetection<GrayU8> alg = new TldDetection<>();
    alg.config = new TldParameters();
    alg.config.maximumCascadeConsider = 20;
    // all 10 should be accepted
    for (int i = 0; i < 30; i++) {
        alg.fernInfo.grow();
        alg.fernInfo.get(i).r = new ImageRectangle(i, i, i, i);
        alg.fernInfo.get(i).sumP = 50 - i;
        alg.fernInfo.get(i).sumN = 6;
    }
    alg.selectBestRegionsFern(200, 200);
    assertEquals(20, alg.fernRegions.size());
    // should contain all the best ones
    for (int i = 0; i < 20; i++) {
        assertTrue(alg.fernRegions.contains(alg.fernInfo.get(i).r));
    }
}

Example 20 with ImageRectangle

use of boofcv.struct.ImageRectangle in project BoofCV by lessthanoptimal.

the class TestTldFernClassifier method computeFernValue.

@Test
public void computeFernValue() {
    TldFernDescription fern = new TldFernDescription(rand, 10);
    ImageRectangle r = new ImageRectangle(2, 20, 12, 28);
    float cx = r.x0 + (r.getWidth() - 1) / 2.0f;
    float cy = r.x0 + (r.getHeight() - 1) / 2.0f;
    float w = r.getWidth() - 1;
    float h = r.getHeight() - 1;
    boolean[] expected = new boolean[10];
    for (int i = 0; i < 10; i++) {
        Point2D_F32 a = fern.pairs[i].a;
        Point2D_F32 b = fern.pairs[i].b;
        float valA = interpolate.get(cx + a.x * w, cy + a.y * h);
        float valB = interpolate.get(cx + b.x * w, cy + b.y * h);
        expected[9 - i] = valA < valB;
    }
    TldFernClassifier<GrayU8> alg = createAlg();
    alg.setImage(input);
    int found = alg.computeFernValue(cx, cy, r.getWidth(), r.getHeight(), fern);
    for (int i = 0; i < 10; i++) {
        assertTrue(expected[i] == (((found >> i) & 0x0001) == 1));
    }
}