mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
113 lines
4.3 KiB
113 lines
4.3 KiB
package org.opencv.test.aruco; |
|
|
|
import java.util.ArrayList; |
|
import java.util.List; |
|
|
|
import org.opencv.test.OpenCVTestCase; |
|
import org.junit.Assert; |
|
import org.opencv.core.Scalar; |
|
import org.opencv.core.Mat; |
|
import org.opencv.core.MatOfInt; |
|
import org.opencv.core.Size; |
|
import org.opencv.core.CvType; |
|
import org.opencv.objdetect.*; |
|
|
|
|
|
public class ArucoTest extends OpenCVTestCase { |
|
|
|
public void testGenerateBoards() { |
|
Dictionary dictionary = Objdetect.getPredefinedDictionary(Objdetect.DICT_4X4_50); |
|
|
|
Mat point1 = new Mat(4, 3, CvType.CV_32FC1); |
|
int row = 0, col = 0; |
|
double squareLength = 40.; |
|
point1.put(row, col, 0, 0, 0, |
|
0, squareLength, 0, |
|
squareLength, squareLength, 0, |
|
0, squareLength, 0); |
|
List<Mat>objPoints = new ArrayList<Mat>(); |
|
objPoints.add(point1); |
|
|
|
Mat ids = new Mat(1, 1, CvType.CV_32SC1); |
|
ids.put(row, col, 0); |
|
|
|
Board board = new Board(objPoints, dictionary, ids); |
|
|
|
Mat image = new Mat(); |
|
board.generateImage(new Size(80, 80), image, 2); |
|
|
|
assertTrue(image.total() > 0); |
|
} |
|
|
|
public void testArucoIssue3133() { |
|
byte[][] marker = {{0,1,1},{1,1,1},{0,1,1}}; |
|
Dictionary dictionary = Objdetect.extendDictionary(1, 3); |
|
dictionary.set_maxCorrectionBits(0); |
|
Mat markerBits = new Mat(3, 3, CvType.CV_8UC1); |
|
for (int i = 0; i < 3; i++) { |
|
for (int j = 0; j < 3; j++) { |
|
markerBits.put(i, j, marker[i][j]); |
|
} |
|
} |
|
|
|
Mat markerCompressed = Dictionary.getByteListFromBits(markerBits); |
|
assertMatNotEqual(markerCompressed, dictionary.get_bytesList()); |
|
|
|
dictionary.set_bytesList(markerCompressed); |
|
assertMatEqual(markerCompressed, dictionary.get_bytesList()); |
|
} |
|
|
|
public void testArucoDetector() { |
|
Dictionary dictionary = Objdetect.getPredefinedDictionary(0); |
|
DetectorParameters detectorParameters = new DetectorParameters(); |
|
ArucoDetector detector = new ArucoDetector(dictionary, detectorParameters); |
|
|
|
Mat markerImage = new Mat(); |
|
int id = 1, offset = 5, size = 40; |
|
Objdetect.generateImageMarker(dictionary, id, size, markerImage, detectorParameters.get_markerBorderBits()); |
|
|
|
Mat image = new Mat(markerImage.rows() + 2*offset, markerImage.cols() + 2*offset, |
|
CvType.CV_8UC1, new Scalar(255)); |
|
Mat m = image.submat(offset, size+offset, offset, size+offset); |
|
markerImage.copyTo(m); |
|
|
|
List<Mat> corners = new ArrayList(); |
|
Mat ids = new Mat(); |
|
detector.detectMarkers(image, corners, ids); |
|
|
|
assertEquals(1, corners.size()); |
|
Mat res = corners.get(0); |
|
assertArrayEquals(new double[]{offset, offset}, res.get(0, 0), 0.0); |
|
assertArrayEquals(new double[]{size + offset - 1, offset}, res.get(0, 1), 0.0); |
|
assertArrayEquals(new double[]{size + offset - 1, size + offset - 1}, res.get(0, 2), 0.0); |
|
assertArrayEquals(new double[]{offset, size + offset - 1}, res.get(0, 3), 0.0); |
|
} |
|
|
|
public void testCharucoDetector() { |
|
Dictionary dictionary = Objdetect.getPredefinedDictionary(0); |
|
int boardSizeX = 3, boardSizeY = 3; |
|
CharucoBoard board = new CharucoBoard(new Size(boardSizeX, boardSizeY), 1.f, 0.8f, dictionary); |
|
CharucoDetector charucoDetector = new CharucoDetector(board); |
|
|
|
int cellSize = 80; |
|
Mat boardImage = new Mat(); |
|
board.generateImage(new Size(cellSize*boardSizeX, cellSize*boardSizeY), boardImage); |
|
|
|
assertTrue(boardImage.total() > 0); |
|
|
|
Mat charucoCorners = new Mat(); |
|
Mat charucoIds = new Mat(); |
|
charucoDetector.detectBoard(boardImage, charucoCorners, charucoIds); |
|
|
|
assertEquals(4, charucoIds.total()); |
|
int[] intCharucoIds = (new MatOfInt(charucoIds)).toArray(); |
|
Assert.assertArrayEquals(new int[]{0, 1, 2, 3}, intCharucoIds); |
|
|
|
double eps = 0.2; |
|
assertArrayEquals(new double[]{cellSize, cellSize}, charucoCorners.get(0, 0), eps); |
|
assertArrayEquals(new double[]{2*cellSize, cellSize}, charucoCorners.get(1, 0), eps); |
|
assertArrayEquals(new double[]{cellSize, 2*cellSize}, charucoCorners.get(2, 0), eps); |
|
assertArrayEquals(new double[]{2*cellSize, 2*cellSize}, charucoCorners.get(3, 0), eps); |
|
} |
|
|
|
}
|
|
|