1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
#ifndef __OPENCV_FEATURES_2D_MANUAL_HPP__
#define __OPENCV_FEATURES_2D_MANUAL_HPP__
#include "opencv2/opencv_modules.hpp"
#ifdef HAVE_OPENCV_FEATURES2D
#include "opencv2/features2d.hpp"
#undef SIMPLEBLOB // to solve conflict with wincrypt.h on windows
namespace cv
{
class CV_EXPORTS_AS(FeatureDetector) javaFeatureDetector : public FeatureDetector
{
public:
#if 0
//DO NOT REMOVE! The block is required for sources parser
CV_WRAP void detect( const Mat& image, CV_OUT std::vector<KeyPoint>& keypoints, const Mat& mask=Mat() ) const;
CV_WRAP void detect( const std::vector<Mat>& images, CV_OUT std::vector<std::vector<KeyPoint> >& keypoints, const std::vector<Mat>& masks=std::vector<Mat>() ) const;
CV_WRAP virtual bool empty() const;
#endif
enum
{
FAST = 1,
STAR = 2,
SIFT = 3,
SURF = 4,
ORB = 5,
MSER = 6,
GFTT = 7,
HARRIS = 8,
SIMPLEBLOB = 9,
DENSE = 10,
BRISK = 11,
GRIDDETECTOR = 1000,
GRID_FAST = GRIDDETECTOR + FAST,
GRID_STAR = GRIDDETECTOR + STAR,
GRID_SIFT = GRIDDETECTOR + SIFT,
GRID_SURF = GRIDDETECTOR + SURF,
GRID_ORB = GRIDDETECTOR + ORB,
GRID_MSER = GRIDDETECTOR + MSER,
GRID_GFTT = GRIDDETECTOR + GFTT,
GRID_HARRIS = GRIDDETECTOR + HARRIS,
GRID_SIMPLEBLOB = GRIDDETECTOR + SIMPLEBLOB,
GRID_DENSE = GRIDDETECTOR + DENSE,
GRID_BRISK = GRIDDETECTOR + BRISK,
PYRAMIDDETECTOR = 2000,
PYRAMID_FAST = PYRAMIDDETECTOR + FAST,
PYRAMID_STAR = PYRAMIDDETECTOR + STAR,
PYRAMID_SIFT = PYRAMIDDETECTOR + SIFT,
PYRAMID_SURF = PYRAMIDDETECTOR + SURF,
PYRAMID_ORB = PYRAMIDDETECTOR + ORB,
PYRAMID_MSER = PYRAMIDDETECTOR + MSER,
PYRAMID_GFTT = PYRAMIDDETECTOR + GFTT,
PYRAMID_HARRIS = PYRAMIDDETECTOR + HARRIS,
PYRAMID_SIMPLEBLOB = PYRAMIDDETECTOR + SIMPLEBLOB,
PYRAMID_DENSE = PYRAMIDDETECTOR + DENSE,
PYRAMID_BRISK = PYRAMIDDETECTOR + BRISK,
DYNAMICDETECTOR = 3000,
DYNAMIC_FAST = DYNAMICDETECTOR + FAST,
DYNAMIC_STAR = DYNAMICDETECTOR + STAR,
DYNAMIC_SIFT = DYNAMICDETECTOR + SIFT,
DYNAMIC_SURF = DYNAMICDETECTOR + SURF,
DYNAMIC_ORB = DYNAMICDETECTOR + ORB,
DYNAMIC_MSER = DYNAMICDETECTOR + MSER,
DYNAMIC_GFTT = DYNAMICDETECTOR + GFTT,
DYNAMIC_HARRIS = DYNAMICDETECTOR + HARRIS,
DYNAMIC_SIMPLEBLOB = DYNAMICDETECTOR + SIMPLEBLOB,
DYNAMIC_DENSE = DYNAMICDETECTOR + DENSE,
DYNAMIC_BRISK = DYNAMICDETECTOR + BRISK
};
//supported: FAST STAR SIFT SURF ORB MSER GFTT HARRIS BRISK Grid(XXXX) Pyramid(XXXX) Dynamic(XXXX)
//not supported: SimpleBlob, Dense
CV_WRAP static javaFeatureDetector* create( int detectorType )
{
String name;
if (detectorType > DYNAMICDETECTOR)
{
name = "Dynamic";
detectorType -= DYNAMICDETECTOR;
}
if (detectorType > PYRAMIDDETECTOR)
{
name = "Pyramid";
detectorType -= PYRAMIDDETECTOR;
}
if (detectorType > GRIDDETECTOR)
{
name = "Grid";
detectorType -= GRIDDETECTOR;
}
switch(detectorType)
{
case FAST:
name = name + "FAST";
break;
case STAR:
name = name + "STAR";
break;
case SIFT:
name = name + "SIFT";
break;
case SURF:
name = name + "SURF";
break;
case ORB:
name = name + "ORB";
break;
case MSER:
name = name + "MSER";
break;
case GFTT:
name = name + "GFTT";
break;
case HARRIS:
name = name + "HARRIS";
break;
case SIMPLEBLOB:
name = name + "SimpleBlob";
break;
case DENSE:
name = name + "Dense";
break;
case BRISK:
name = name + "BRISK";
break;
default:
CV_Error( Error::StsBadArg, "Specified feature detector type is not supported." );
break;
}
Ptr<FeatureDetector> detector = FeatureDetector::create(name);
detector.addref();
return (javaFeatureDetector*)((FeatureDetector*) detector);
}
CV_WRAP void write( const String& fileName ) const
{
FileStorage fs(fileName, FileStorage::WRITE);
((FeatureDetector*)this)->write(fs);
fs.release();
}
CV_WRAP void read( const String& fileName )
{
FileStorage fs(fileName, FileStorage::READ);
((FeatureDetector*)this)->read(fs.root());
fs.release();
}
};
class CV_EXPORTS_AS(DescriptorMatcher) javaDescriptorMatcher : public DescriptorMatcher
{
public:
#if 0
//DO NOT REMOVE! The block is required for sources parser
CV_WRAP virtual bool isMaskSupported() const;
CV_WRAP virtual void add( const std::vector<Mat>& descriptors );
CV_WRAP const std::vector<Mat>& getTrainDescriptors() const;
CV_WRAP virtual void clear();
CV_WRAP virtual bool empty() const;
CV_WRAP virtual void train();
CV_WRAP void match( const Mat& queryDescriptors, const Mat& trainDescriptors,
CV_OUT std::vector<DMatch>& matches, const Mat& mask=Mat() ) const;
CV_WRAP void knnMatch( const Mat& queryDescriptors, const Mat& trainDescriptors,
CV_OUT std::vector<std::vector<DMatch> >& matches, int k,
const Mat& mask=Mat(), bool compactResult=false ) const;
CV_WRAP void radiusMatch( const Mat& queryDescriptors, const Mat& trainDescriptors,
CV_OUT std::vector<std::vector<DMatch> >& matches, float maxDistance,
const Mat& mask=Mat(), bool compactResult=false ) const;
CV_WRAP void match( const Mat& queryDescriptors, CV_OUT std::vector<DMatch>& matches,
const std::vector<Mat>& masks=std::vector<Mat>() );
CV_WRAP void knnMatch( const Mat& queryDescriptors, CV_OUT std::vector<std::vector<DMatch> >& matches, int k,
const std::vector<Mat>& masks=std::vector<Mat>(), bool compactResult=false );
CV_WRAP void radiusMatch( const Mat& queryDescriptors, CV_OUT std::vector<std::vector<DMatch> >& matches, float maxDistance,
const std::vector<Mat>& masks=std::vector<Mat>(), bool compactResult=false );
#endif
enum
{
FLANNBASED = 1,
BRUTEFORCE = 2,
BRUTEFORCE_L1 = 3,
BRUTEFORCE_HAMMING = 4,
BRUTEFORCE_HAMMINGLUT = 5,
BRUTEFORCE_SL2 = 6
};
CV_WRAP_AS(clone) javaDescriptorMatcher* jclone( bool emptyTrainData=false ) const
{
Ptr<DescriptorMatcher> matcher = this->clone(emptyTrainData);
matcher.addref();
return (javaDescriptorMatcher*)((DescriptorMatcher*) matcher);
}
//supported: FlannBased, BruteForce, BruteForce-L1, BruteForce-Hamming, BruteForce-HammingLUT
CV_WRAP static javaDescriptorMatcher* create( int matcherType )
{
String name;
switch(matcherType)
{
case FLANNBASED:
name = "FlannBased";
break;
case BRUTEFORCE:
name = "BruteForce";
break;
case BRUTEFORCE_L1:
name = "BruteForce-L1";
break;
case BRUTEFORCE_HAMMING:
name = "BruteForce-Hamming";
break;
case BRUTEFORCE_HAMMINGLUT:
name = "BruteForce-HammingLUT";
break;
case BRUTEFORCE_SL2:
name = "BruteForce-SL2";
break;
default:
CV_Error( Error::StsBadArg, "Specified descriptor matcher type is not supported." );
break;
}
Ptr<DescriptorMatcher> matcher = DescriptorMatcher::create(name);
matcher.addref();
return (javaDescriptorMatcher*)((DescriptorMatcher*) matcher);
}
CV_WRAP void write( const String& fileName ) const
{
FileStorage fs(fileName, FileStorage::WRITE);
((DescriptorMatcher*)this)->write(fs);
fs.release();
}
CV_WRAP void read( const String& fileName )
{
FileStorage fs(fileName, FileStorage::READ);
((DescriptorMatcher*)this)->read(fs.root());
fs.release();
}
};
class CV_EXPORTS_AS(DescriptorExtractor) javaDescriptorExtractor : public DescriptorExtractor
{
public:
#if 0
//DO NOT REMOVE! The block is required for sources parser
CV_WRAP void compute( const Mat& image, CV_IN_OUT std::vector<KeyPoint>& keypoints, Mat& descriptors ) const;
CV_WRAP void compute( const std::vector<Mat>& images, CV_IN_OUT std::vector<std::vector<KeyPoint> >& keypoints, CV_OUT std::vector<Mat>& descriptors ) const;
CV_WRAP virtual int descriptorSize() const;
CV_WRAP virtual int descriptorType() const;
CV_WRAP virtual bool empty() const;
#endif
enum
{
SIFT = 1,
SURF = 2,
ORB = 3,
BRIEF = 4,
BRISK = 5,
FREAK = 6,
OPPONENTEXTRACTOR = 1000,
OPPONENT_SIFT = OPPONENTEXTRACTOR + SIFT,
OPPONENT_SURF = OPPONENTEXTRACTOR + SURF,
OPPONENT_ORB = OPPONENTEXTRACTOR + ORB,
OPPONENT_BRIEF = OPPONENTEXTRACTOR + BRIEF,
OPPONENT_BRISK = OPPONENTEXTRACTOR + BRISK,
OPPONENT_FREAK = OPPONENTEXTRACTOR + FREAK
};
//supported SIFT, SURF, ORB, BRIEF, BRISK, FREAK, Opponent(XXXX)
//not supported: Calonder
CV_WRAP static javaDescriptorExtractor* create( int extractorType )
{
String name;
if (extractorType > OPPONENTEXTRACTOR)
{
name = "Opponent";
extractorType -= OPPONENTEXTRACTOR;
}
switch(extractorType)
{
case SIFT:
name = name + "SIFT";
break;
case SURF:
name = name + "SURF";
break;
case ORB:
name = name + "ORB";
break;
case BRIEF:
name = name + "BRIEF";
break;
case BRISK:
name = name + "BRISK";
break;
case FREAK:
name = name + "FREAK";
break;
default:
CV_Error( Error::StsBadArg, "Specified descriptor extractor type is not supported." );
break;
}
Ptr<DescriptorExtractor> extractor = DescriptorExtractor::create(name);
extractor.addref();
return (javaDescriptorExtractor*)((DescriptorExtractor*) extractor);
}
CV_WRAP void write( const String& fileName ) const
{
FileStorage fs(fileName, FileStorage::WRITE);
((DescriptorExtractor*)this)->write(fs);
fs.release();
}
CV_WRAP void read( const String& fileName )
{
FileStorage fs(fileName, FileStorage::READ);
((DescriptorExtractor*)this)->read(fs.root());
fs.release();
}
};
class CV_EXPORTS_AS(GenericDescriptorMatcher) javaGenericDescriptorMatcher : public GenericDescriptorMatcher
{
public:
#if 0
//DO NOT REMOVE! The block is required for sources parser
CV_WRAP virtual void add( const std::vector<Mat>& images,
std::vector<std::vector<KeyPoint> >& keypoints );
CV_WRAP const std::vector<Mat>& getTrainImages() const;
CV_WRAP const std::vector<std::vector<KeyPoint> >& getTrainKeypoints() const;
CV_WRAP virtual void clear();
CV_WRAP virtual bool isMaskSupported();
CV_WRAP virtual void train();
CV_WRAP void classify( const Mat& queryImage, CV_IN_OUT std::vector<KeyPoint>& queryKeypoints,
const Mat& trainImage, std::vector<KeyPoint>& trainKeypoints ) const;
CV_WRAP void classify( const Mat& queryImage, CV_IN_OUT std::vector<KeyPoint>& queryKeypoints );
CV_WRAP void match( const Mat& queryImage, std::vector<KeyPoint>& queryKeypoints,
const Mat& trainImage, std::vector<KeyPoint>& trainKeypoints,
CV_OUT std::vector<DMatch>& matches, const Mat& mask=Mat() ) const;
CV_WRAP void knnMatch( const Mat& queryImage, std::vector<KeyPoint>& queryKeypoints,
const Mat& trainImage, std::vector<KeyPoint>& trainKeypoints,
CV_OUT std::vector<std::vector<DMatch> >& matches, int k,
const Mat& mask=Mat(), bool compactResult=false ) const;
CV_WRAP void radiusMatch( const Mat& queryImage, std::vector<KeyPoint>& queryKeypoints,
const Mat& trainImage, std::vector<KeyPoint>& trainKeypoints,
CV_OUT std::vector<std::vector<DMatch> >& matches, float maxDistance,
const Mat& mask=Mat(), bool compactResult=false ) const;
CV_WRAP void match( const Mat& queryImage, std::vector<KeyPoint>& queryKeypoints,
CV_OUT std::vector<DMatch>& matches, const std::vector<Mat>& masks=std::vector<Mat>() );
CV_WRAP void knnMatch( const Mat& queryImage, std::vector<KeyPoint>& queryKeypoints,
CV_OUT std::vector<std::vector<DMatch> >& matches, int k,
const std::vector<Mat>& masks=std::vector<Mat>(), bool compactResult=false );
CV_WRAP void radiusMatch( const Mat& queryImage, std::vector<KeyPoint>& queryKeypoints,
CV_OUT std::vector<std::vector<DMatch> >& matches, float maxDistance,
const std::vector<Mat>& masks=std::vector<Mat>(), bool compactResult=false );
CV_WRAP virtual bool empty() const;
#endif
enum
{
ONEWAY = 1,
FERN = 2
};
CV_WRAP_AS(clone) javaGenericDescriptorMatcher* jclone( bool emptyTrainData=false ) const
{
Ptr<GenericDescriptorMatcher> matcher = this->clone(emptyTrainData);
matcher.addref();
return (javaGenericDescriptorMatcher*)((GenericDescriptorMatcher*) matcher);
}
//supported: OneWay, Fern
//unsupported: Vector
CV_WRAP static javaGenericDescriptorMatcher* create( int matcherType )
{
String name;
switch(matcherType)
{
case ONEWAY:
name = "ONEWAY";
break;
case FERN:
name = "FERN";
break;
default:
CV_Error( Error::StsBadArg, "Specified generic descriptor matcher type is not supported." );
break;
}
Ptr<GenericDescriptorMatcher> matcher = GenericDescriptorMatcher::create(name);
matcher.addref();
return (javaGenericDescriptorMatcher*)((GenericDescriptorMatcher*) matcher);
}
CV_WRAP void write( const String& fileName ) const
{
FileStorage fs(fileName, FileStorage::WRITE);
((GenericDescriptorMatcher*)this)->write(fs);
fs.release();
}
CV_WRAP void read( const String& fileName )
{
FileStorage fs(fileName, FileStorage::READ);
((GenericDescriptorMatcher*)this)->read(fs.root());
fs.release();
}
};
#if 0
//DO NOT REMOVE! The block is required for sources parser
enum
{
DRAW_OVER_OUTIMG = 1, // Output image matrix will not be created (Mat::create).
// Matches will be drawn on existing content of output image.
NOT_DRAW_SINGLE_POINTS = 2, // Single keypoints will not be drawn.
DRAW_RICH_KEYPOINTS = 4 // For each keypoint the circle around keypoint with keypoint size and
// orientation will be drawn.
};
// Draw keypoints.
CV_EXPORTS_W void drawKeypoints( const Mat& image, const std::vector<KeyPoint>& keypoints, Mat& outImage,
const Scalar& color=Scalar::all(-1), int flags=0 );
// Draws matches of keypints from two images on output image.
CV_EXPORTS_W void drawMatches( const Mat& img1, const std::vector<KeyPoint>& keypoints1,
const Mat& img2, const std::vector<KeyPoint>& keypoints2,
const std::vector<DMatch>& matches1to2, Mat& outImg,
const Scalar& matchColor=Scalar::all(-1), const Scalar& singlePointColor=Scalar::all(-1),
const std::vector<char>& matchesMask=std::vector<char>(), int flags=0 );
CV_EXPORTS_AS(drawMatches2) void drawMatches( const Mat& img1, const std::vector<KeyPoint>& keypoints1,
const Mat& img2, const std::vector<KeyPoint>& keypoints2,
const std::vector<std::vector<DMatch> >& matches1to2, Mat& outImg,
const Scalar& matchColor=Scalar::all(-1), const Scalar& singlePointColor=Scalar::all(-1),
const std::vector<std::vector<char> >& matchesMask=std::vector<std::vector<char> >(), int flags=0);
#endif
} //cv
#endif // HAVE_OPENCV_FEATURES2D
#endif // __OPENCV_FEATURES_2D_MANUAL_HPP__