1 package org.opencv.test.features2d; 2 3 import java.util.ArrayList; 4 import java.util.Arrays; 5 import java.util.List; 6 7 import org.opencv.core.Core; 8 import org.opencv.core.CvType; 9 import org.opencv.core.Mat; 10 import org.opencv.core.MatOfDMatch; 11 import org.opencv.core.MatOfKeyPoint; 12 import org.opencv.core.Point; 13 import org.opencv.core.Scalar; 14 import org.opencv.core.DMatch; 15 import org.opencv.features2d.DescriptorExtractor; 16 import org.opencv.features2d.DescriptorMatcher; 17 import org.opencv.features2d.FeatureDetector; 18 import org.opencv.core.KeyPoint; 19 import org.opencv.test.OpenCVTestCase; 20 import org.opencv.test.OpenCVTestRunner; 21 import org.opencv.imgproc.Imgproc; 22 23 public class BruteForceDescriptorMatcherTest extends OpenCVTestCase { 24 25 DescriptorMatcher matcher; 26 int matSize; 27 DMatch[] truth; 28 29 private Mat getMaskImg() { 30 return new Mat(5, 2, CvType.CV_8U, new Scalar(0)) { 31 { 32 put(0, 0, 1, 1, 1, 1); 33 } 34 }; 35 } 36 37 private Mat getQueryDescriptors() { 38 Mat img = getQueryImg(); 39 MatOfKeyPoint keypoints = new MatOfKeyPoint(); 40 Mat descriptors = new Mat(); 41 42 FeatureDetector detector = FeatureDetector.create(FeatureDetector.SURF); 43 DescriptorExtractor extractor = DescriptorExtractor.create(DescriptorExtractor.SURF); 44 45 String filename = OpenCVTestRunner.getTempFileName("yml"); 46 writeFile(filename, "%YAML:1.0\nhessianThreshold: 8000.\noctaves: 3\noctaveLayers: 4\nupright: 0\n"); 47 detector.read(filename); 48 49 detector.detect(img, keypoints); 50 extractor.compute(img, keypoints, descriptors); 51 52 return descriptors; 53 } 54 55 private Mat getQueryImg() { 56 Mat cross = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(255)); 57 Imgproc.line(cross, new Point(30, matSize / 2), new Point(matSize - 31, matSize / 2), new Scalar(100), 3); 58 Imgproc.line(cross, new Point(matSize / 2, 30), new Point(matSize / 2, matSize - 31), new Scalar(100), 3); 59 60 return cross; 61 } 62 63 private Mat getTrainDescriptors() { 64 Mat img = getTrainImg(); 65 MatOfKeyPoint keypoints = new MatOfKeyPoint(new KeyPoint(50, 50, 16, 0, 20000, 1, -1), new KeyPoint(42, 42, 16, 160, 10000, 1, -1)); 66 Mat descriptors = new Mat(); 67 68 DescriptorExtractor extractor = DescriptorExtractor.create(DescriptorExtractor.SURF); 69 70 extractor.compute(img, keypoints, descriptors); 71 72 return descriptors; 73 } 74 75 private Mat getTrainImg() { 76 Mat cross = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(255)); 77 Imgproc.line(cross, new Point(20, matSize / 2), new Point(matSize - 21, matSize / 2), new Scalar(100), 2); 78 Imgproc.line(cross, new Point(matSize / 2, 20), new Point(matSize / 2, matSize - 21), new Scalar(100), 2); 79 80 return cross; 81 } 82 83 protected void setUp() throws Exception { 84 super.setUp(); 85 matcher = DescriptorMatcher.create(DescriptorMatcher.BRUTEFORCE); 86 matSize = 100; 87 88 truth = new DMatch[] { 89 new DMatch(0, 0, 0, 0.6211397f), 90 new DMatch(1, 1, 0, 0.9177120f), 91 new DMatch(2, 1, 0, 0.3112163f), 92 new DMatch(3, 1, 0, 0.2925074f), 93 new DMatch(4, 1, 0, 0.9309178f) 94 }; 95 } 96 97 public void testAdd() { 98 matcher.add(Arrays.asList(new Mat())); 99 assertFalse(matcher.empty()); 100 } 101 102 public void testClear() { 103 matcher.add(Arrays.asList(new Mat())); 104 105 matcher.clear(); 106 107 assertTrue(matcher.empty()); 108 } 109 110 public void testClone() { 111 Mat train = new Mat(1, 1, CvType.CV_8U, new Scalar(123)); 112 Mat truth = train.clone(); 113 matcher.add(Arrays.asList(train)); 114 115 DescriptorMatcher cloned = matcher.clone(); 116 117 assertNotNull(cloned); 118 119 List<Mat> descriptors = cloned.getTrainDescriptors(); 120 assertEquals(1, descriptors.size()); 121 assertMatEqual(truth, descriptors.get(0)); 122 } 123 124 public void testCloneBoolean() { 125 matcher.add(Arrays.asList(new Mat())); 126 127 DescriptorMatcher cloned = matcher.clone(true); 128 129 assertNotNull(cloned); 130 assertTrue(cloned.empty()); 131 } 132 133 public void testCreate() { 134 assertNotNull(matcher); 135 } 136 137 public void testEmpty() { 138 assertTrue(matcher.empty()); 139 } 140 141 public void testGetTrainDescriptors() { 142 Mat train = new Mat(1, 1, CvType.CV_8U, new Scalar(123)); 143 Mat truth = train.clone(); 144 matcher.add(Arrays.asList(train)); 145 146 List<Mat> descriptors = matcher.getTrainDescriptors(); 147 148 assertEquals(1, descriptors.size()); 149 assertMatEqual(truth, descriptors.get(0)); 150 } 151 152 public void testIsMaskSupported() { 153 assertTrue(matcher.isMaskSupported()); 154 } 155 156 public void testKnnMatchMatListOfListOfDMatchInt() { 157 fail("Not yet implemented"); 158 } 159 160 public void testKnnMatchMatListOfListOfDMatchIntListOfMat() { 161 fail("Not yet implemented"); 162 } 163 164 public void testKnnMatchMatListOfListOfDMatchIntListOfMatBoolean() { 165 fail("Not yet implemented"); 166 } 167 168 public void testKnnMatchMatMatListOfListOfDMatchInt() { 169 final int k = 3; 170 Mat train = getTrainDescriptors(); 171 Mat query = getQueryDescriptors(); 172 List<MatOfDMatch> matches = new ArrayList<MatOfDMatch>(); 173 matcher.knnMatch(query, train, matches, k); 174 /* 175 Log.d("knnMatch", "train = " + train); 176 Log.d("knnMatch", "query = " + query); 177 178 matcher.add(train); 179 matcher.knnMatch(query, matches, k); 180 */ 181 assertEquals(query.rows(), matches.size()); 182 for(int i = 0; i<matches.size(); i++) 183 { 184 MatOfDMatch vdm = matches.get(i); 185 //Log.d("knn", "vdm["+i+"]="+vdm.dump()); 186 assertTrue(Math.min(k, train.rows()) >= vdm.total()); 187 for(DMatch dm : vdm.toArray()) 188 { 189 assertEquals(dm.queryIdx, i); 190 } 191 } 192 } 193 194 public void testKnnMatchMatMatListOfListOfDMatchIntMat() { 195 fail("Not yet implemented"); 196 } 197 198 public void testKnnMatchMatMatListOfListOfDMatchIntMatBoolean() { 199 fail("Not yet implemented"); 200 } 201 202 public void testMatchMatListOfDMatch() { 203 Mat train = getTrainDescriptors(); 204 Mat query = getQueryDescriptors(); 205 MatOfDMatch matches = new MatOfDMatch(); 206 matcher.add(Arrays.asList(train)); 207 208 matcher.match(query, matches); 209 210 assertArrayDMatchEquals(truth, matches.toArray(), EPS); 211 } 212 213 public void testMatchMatListOfDMatchListOfMat() { 214 Mat train = getTrainDescriptors(); 215 Mat query = getQueryDescriptors(); 216 Mat mask = getMaskImg(); 217 MatOfDMatch matches = new MatOfDMatch(); 218 matcher.add(Arrays.asList(train)); 219 220 matcher.match(query, matches, Arrays.asList(mask)); 221 222 assertListDMatchEquals(Arrays.asList(truth[0], truth[1]), matches.toList(), EPS); 223 } 224 225 public void testMatchMatMatListOfDMatch() { 226 Mat train = getTrainDescriptors(); 227 Mat query = getQueryDescriptors(); 228 MatOfDMatch matches = new MatOfDMatch(); 229 230 matcher.match(query, train, matches); 231 232 assertArrayDMatchEquals(truth, matches.toArray(), EPS); 233 234 // OpenCVTestRunner.Log("matches found: " + matches.size()); 235 // for (DMatch m : matches) 236 // OpenCVTestRunner.Log(m.toString()); 237 } 238 239 public void testMatchMatMatListOfDMatchMat() { 240 Mat train = getTrainDescriptors(); 241 Mat query = getQueryDescriptors(); 242 Mat mask = getMaskImg(); 243 MatOfDMatch matches = new MatOfDMatch(); 244 245 matcher.match(query, train, matches, mask); 246 247 assertListDMatchEquals(Arrays.asList(truth[0], truth[1]), matches.toList(), EPS); 248 } 249 250 public void testRadiusMatchMatListOfListOfDMatchFloat() { 251 fail("Not yet implemented"); 252 } 253 254 public void testRadiusMatchMatListOfListOfDMatchFloatListOfMat() { 255 fail("Not yet implemented"); 256 } 257 258 public void testRadiusMatchMatListOfListOfDMatchFloatListOfMatBoolean() { 259 fail("Not yet implemented"); 260 } 261 262 public void testRadiusMatchMatMatListOfListOfDMatchFloat() { 263 fail("Not yet implemented"); 264 } 265 266 public void testRadiusMatchMatMatListOfListOfDMatchFloatMat() { 267 fail("Not yet implemented"); 268 } 269 270 public void testRadiusMatchMatMatListOfListOfDMatchFloatMatBoolean() { 271 fail("Not yet implemented"); 272 } 273 274 public void testRead() { 275 String filename = OpenCVTestRunner.getTempFileName("yml"); 276 writeFile(filename, "%YAML:1.0\n"); 277 278 matcher.read(filename); 279 assertTrue(true);// BruteforceMatcher has no settings 280 } 281 282 public void testTrain() { 283 matcher.train();// BruteforceMatcher does not need to train 284 } 285 286 public void testWrite() { 287 String filename = OpenCVTestRunner.getTempFileName("yml"); 288 289 matcher.write(filename); 290 291 String truth = "%YAML:1.0\n"; 292 assertEquals(truth, readFile(filename)); 293 } 294 295 } 296
