Examples with Polygon2D_F64 georegression.struct.shapes.Polygon2D_F64 used on opensource projects

Example 61 with Polygon2D_F64

use of georegression.struct.shapes.Polygon2D_F64 in project BoofCV by lessthanoptimal.

the class TestDetectPolygonFromContour method checkDetected_LensDistortion.

private void checkDetected_LensDistortion(Class imageType, double tol) {
    renderDistortedRectangles(true, imageType);
    Affine2D_F32 a = new Affine2D_F32();
    UtilAffine.convert(transform, a);
    PixelTransform2_F32 tranFrom = new PixelTransformAffine_F32(a);
    PixelTransform2_F32 tranTo = new PixelTransformAffine_F32(a.invert(null));
    int numberOfSides = 4;
    DetectPolygonFromContour alg = createDetector(imageType, numberOfSides, numberOfSides);
    alg.setLensDistortion(image.width, image.height, tranTo, tranFrom);
    alg.process(image, binary);
    FastQueue<DetectPolygonFromContour.Info> found = alg.getFound();
    assertEquals(rectangles.size(), found.size);
    for (int i = 0; i < found.size; i++) {
        Polygon2D_F64 p = found.get(i).polygon;
        assertEquals(1, findMatchesOriginal(p, tol));
        assertEquals(black, found.get(i).edgeInside, 3);
        assertEquals(white, found.get(i).edgeOutside, white * 0.05);
    }
}

Example 62 with Polygon2D_F64

use of georegression.struct.shapes.Polygon2D_F64 in project BoofCV by lessthanoptimal.

the class TestDetectPolygonFromContour method checkDetectedMulti.

private void checkDetectedMulti(Class imageType, List<Polygon2D_F64> polygons, double tol) {
    renderPolygons(polygons, imageType);
    DetectPolygonFromContour alg = createDetector(imageType, 3, 4);
    alg.process(image, binary);
    FastQueue<DetectPolygonFromContour.Info> found = alg.getFound();
    assertEquals(polygons.size(), found.size);
    for (int i = 0; i < found.size; i++) {
        Polygon2D_F64 p = found.get(i).polygon;
        assertEquals(1, findMatches(p, tol));
    }
}

Example 63 with Polygon2D_F64

use of georegression.struct.shapes.Polygon2D_F64 in project BoofCV by lessthanoptimal.

the class TestDetectPolygonFromContour method detect_concave.

/**
 * Give it an easy to detect concave shape
 */
@Test
public void detect_concave() {
    List<Polygon2D_F64> polygons = new ArrayList<>();
    Polygon2D_F64 expected = new Polygon2D_F64(20, 20, 20, 80, 40, 40, 80, 80, 80, 20);
    polygons.add(expected);
    for (Class imageType : imageTypes) {
        renderPolygons(polygons, imageType);
        DetectPolygonFromContour alg = createDetector(imageType, 5, 5);
        alg.setConvex(false);
        alg.process(image, binary);
        assertEquals(1, alg.getFound().size());
        Polygon2D_F64 found = ((DetectPolygonFromContour.Info) alg.getFound().get(0)).polygon;
        assertEquals(1, findMatches(found, 3));
    }
}

Example 64 with Polygon2D_F64

use of georegression.struct.shapes.Polygon2D_F64 in project BoofCV by lessthanoptimal.

the class TestRefinePolygonToContour method reverseOrder.

@Test
public void reverseOrder() {
    RectangleLength2D_I32 rect = new RectangleLength2D_I32(0, 0, 10, 5);
    List<Point2D_I32> contour = rectToContour(rect);
    GrowQueue_I32 vertexes = computeContourVertexes(rect);
    flip(vertexes.data, vertexes.size);
    RefinePolygonToContour alg = new RefinePolygonToContour();
    Polygon2D_F64 found = new Polygon2D_F64();
    alg.process(contour, vertexes, found);
    assertTrue(checkPolygon(new double[] { 0, 0, 0, 4, 9, 4, 9, 0 }, found));
}

Example 65 with Polygon2D_F64

use of georegression.struct.shapes.Polygon2D_F64 in project BoofCV by lessthanoptimal.

the class TestRefinePolygonToContour method basic.

@Test
public void basic() {
    RectangleLength2D_I32 rect = new RectangleLength2D_I32(0, 0, 10, 5);
    List<Point2D_I32> contour = rectToContour(rect);
    GrowQueue_I32 vertexes = computeContourVertexes(rect);
    RefinePolygonToContour alg = new RefinePolygonToContour();
    Polygon2D_F64 found = new Polygon2D_F64();
    alg.process(contour, vertexes, found);
    assertTrue(checkPolygon(new double[] { 0, 0, 9, 0, 9, 4, 0, 4 }, found));
}