-
-
Notifications
You must be signed in to change notification settings - Fork 144
/
bgsegm.rs
858 lines (758 loc) · 37.5 KB
/
bgsegm.rs
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
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
#![allow(
unused_parens,
clippy::excessive_precision,
clippy::missing_safety_doc,
clippy::should_implement_trait,
clippy::too_many_arguments,
clippy::unused_unit,
clippy::let_unit_value,
clippy::derive_partial_eq_without_eq,
)]
//! # Improved Background-Foreground Segmentation Methods
use crate::{mod_prelude::*, core, sys, types};
pub mod prelude {
pub use { super::BackgroundSubtractorMOGConst, super::BackgroundSubtractorMOG, super::BackgroundSubtractorGMGConst, super::BackgroundSubtractorGMG, super::BackgroundSubtractorCNTConst, super::BackgroundSubtractorCNT, super::BackgroundSubtractorGSOCConst, super::BackgroundSubtractorGSOC, super::BackgroundSubtractorLSBPConst, super::BackgroundSubtractorLSBP, super::BackgroundSubtractorLSBPDescTraitConst, super::BackgroundSubtractorLSBPDescTrait, super::SyntheticSequenceGeneratorTraitConst, super::SyntheticSequenceGeneratorTrait };
}
pub const LSBP_CAMERA_MOTION_COMPENSATION_LK: i32 = 1;
pub const LSBP_CAMERA_MOTION_COMPENSATION_NONE: i32 = 0;
#[repr(C)]
#[derive(Copy, Clone, Debug, PartialEq, Eq)]
pub enum LSBPCameraMotionCompensation {
LSBP_CAMERA_MOTION_COMPENSATION_NONE = 0,
LSBP_CAMERA_MOTION_COMPENSATION_LK = 1,
}
opencv_type_enum! { crate::bgsegm::LSBPCameraMotionCompensation }
/// Creates a CNT Background Subtractor
///
/// ## Parameters
/// * minPixelStability: number of frames with same pixel color to consider stable
/// * useHistory: determines if we're giving a pixel credit for being stable for a long time
/// * maxPixelStability: maximum allowed credit for a pixel in history
/// * isParallel: determines if we're parallelizing the algorithm
///
/// ## C++ default parameters
/// * min_pixel_stability: 15
/// * use_history: true
/// * max_pixel_stability: 15*60
/// * is_parallel: true
#[inline]
pub fn create_background_subtractor_cnt(min_pixel_stability: i32, use_history: bool, max_pixel_stability: i32, is_parallel: bool) -> Result<core::Ptr<dyn crate::bgsegm::BackgroundSubtractorCNT>> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_createBackgroundSubtractorCNT_int_bool_int_bool(min_pixel_stability, use_history, max_pixel_stability, is_parallel, ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
let ret = unsafe { core::Ptr::<dyn crate::bgsegm::BackgroundSubtractorCNT>::opencv_from_extern(ret) };
Ok(ret)
}
/// Creates a GMG Background Subtractor
///
/// ## Parameters
/// * initializationFrames: number of frames used to initialize the background models.
/// * decisionThreshold: Threshold value, above which it is marked foreground, else background.
///
/// ## C++ default parameters
/// * initialization_frames: 120
/// * decision_threshold: 0.8
#[inline]
pub fn create_background_subtractor_gmg(initialization_frames: i32, decision_threshold: f64) -> Result<core::Ptr<dyn crate::bgsegm::BackgroundSubtractorGMG>> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_createBackgroundSubtractorGMG_int_double(initialization_frames, decision_threshold, ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
let ret = unsafe { core::Ptr::<dyn crate::bgsegm::BackgroundSubtractorGMG>::opencv_from_extern(ret) };
Ok(ret)
}
/// Creates an instance of BackgroundSubtractorGSOC algorithm.
///
/// Implementation of the different yet better algorithm which is called GSOC, as it was implemented during GSOC and was not originated from any paper.
///
/// ## Parameters
/// * mc: Whether to use camera motion compensation.
/// * nSamples: Number of samples to maintain at each point of the frame.
/// * replaceRate: Probability of replacing the old sample - how fast the model will update itself.
/// * propagationRate: Probability of propagating to neighbors.
/// * hitsThreshold: How many positives the sample must get before it will be considered as a possible replacement.
/// * alpha: Scale coefficient for threshold.
/// * beta: Bias coefficient for threshold.
/// * blinkingSupressionDecay: Blinking supression decay factor.
/// * blinkingSupressionMultiplier: Blinking supression multiplier.
/// * noiseRemovalThresholdFacBG: Strength of the noise removal for background points.
/// * noiseRemovalThresholdFacFG: Strength of the noise removal for foreground points.
///
/// ## C++ default parameters
/// * mc: LSBP_CAMERA_MOTION_COMPENSATION_NONE
/// * n_samples: 20
/// * replace_rate: 0.003f
/// * propagation_rate: 0.01f
/// * hits_threshold: 32
/// * alpha: 0.01f
/// * beta: 0.0022f
/// * blinking_supression_decay: 0.1f
/// * blinking_supression_multiplier: 0.1f
/// * noise_removal_threshold_fac_bg: 0.0004f
/// * noise_removal_threshold_fac_fg: 0.0008f
#[inline]
pub fn create_background_subtractor_gsoc(mc: i32, n_samples: i32, replace_rate: f32, propagation_rate: f32, hits_threshold: i32, alpha: f32, beta: f32, blinking_supression_decay: f32, blinking_supression_multiplier: f32, noise_removal_threshold_fac_bg: f32, noise_removal_threshold_fac_fg: f32) -> Result<core::Ptr<dyn crate::bgsegm::BackgroundSubtractorGSOC>> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_createBackgroundSubtractorGSOC_int_int_float_float_int_float_float_float_float_float_float(mc, n_samples, replace_rate, propagation_rate, hits_threshold, alpha, beta, blinking_supression_decay, blinking_supression_multiplier, noise_removal_threshold_fac_bg, noise_removal_threshold_fac_fg, ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
let ret = unsafe { core::Ptr::<dyn crate::bgsegm::BackgroundSubtractorGSOC>::opencv_from_extern(ret) };
Ok(ret)
}
/// Creates an instance of BackgroundSubtractorLSBP algorithm.
///
/// Background Subtraction using Local SVD Binary Pattern. More details about the algorithm can be found at [LGuo2016](https://docs.opencv.org/4.6.0/d0/de3/citelist.html#CITEREF_LGuo2016)
///
/// ## Parameters
/// * mc: Whether to use camera motion compensation.
/// * nSamples: Number of samples to maintain at each point of the frame.
/// * LSBPRadius: LSBP descriptor radius.
/// * Tlower: Lower bound for T-values. See [LGuo2016](https://docs.opencv.org/4.6.0/d0/de3/citelist.html#CITEREF_LGuo2016) for details.
/// * Tupper: Upper bound for T-values. See [LGuo2016](https://docs.opencv.org/4.6.0/d0/de3/citelist.html#CITEREF_LGuo2016) for details.
/// * Tinc: Increase step for T-values. See [LGuo2016](https://docs.opencv.org/4.6.0/d0/de3/citelist.html#CITEREF_LGuo2016) for details.
/// * Tdec: Decrease step for T-values. See [LGuo2016](https://docs.opencv.org/4.6.0/d0/de3/citelist.html#CITEREF_LGuo2016) for details.
/// * Rscale: Scale coefficient for threshold values.
/// * Rincdec: Increase/Decrease step for threshold values.
/// * noiseRemovalThresholdFacBG: Strength of the noise removal for background points.
/// * noiseRemovalThresholdFacFG: Strength of the noise removal for foreground points.
/// * LSBPthreshold: Threshold for LSBP binary string.
/// * minCount: Minimal number of matches for sample to be considered as foreground.
///
/// ## C++ default parameters
/// * mc: LSBP_CAMERA_MOTION_COMPENSATION_NONE
/// * n_samples: 20
/// * lsbp_radius: 16
/// * tlower: 2.0f
/// * tupper: 32.0f
/// * tinc: 1.0f
/// * tdec: 0.05f
/// * rscale: 10.0f
/// * rincdec: 0.005f
/// * noise_removal_threshold_fac_bg: 0.0004f
/// * noise_removal_threshold_fac_fg: 0.0008f
/// * lsb_pthreshold: 8
/// * min_count: 2
#[inline]
pub fn create_background_subtractor_lsbp(mc: i32, n_samples: i32, lsbp_radius: i32, tlower: f32, tupper: f32, tinc: f32, tdec: f32, rscale: f32, rincdec: f32, noise_removal_threshold_fac_bg: f32, noise_removal_threshold_fac_fg: f32, lsb_pthreshold: i32, min_count: i32) -> Result<core::Ptr<dyn crate::bgsegm::BackgroundSubtractorLSBP>> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_createBackgroundSubtractorLSBP_int_int_int_float_float_float_float_float_float_float_float_int_int(mc, n_samples, lsbp_radius, tlower, tupper, tinc, tdec, rscale, rincdec, noise_removal_threshold_fac_bg, noise_removal_threshold_fac_fg, lsb_pthreshold, min_count, ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
let ret = unsafe { core::Ptr::<dyn crate::bgsegm::BackgroundSubtractorLSBP>::opencv_from_extern(ret) };
Ok(ret)
}
/// Creates mixture-of-gaussian background subtractor
///
/// ## Parameters
/// * history: Length of the history.
/// * nmixtures: Number of Gaussian mixtures.
/// * backgroundRatio: Background ratio.
/// * noiseSigma: Noise strength (standard deviation of the brightness or each color channel). 0
/// means some automatic value.
///
/// ## C++ default parameters
/// * history: 200
/// * nmixtures: 5
/// * background_ratio: 0.7
/// * noise_sigma: 0
#[inline]
pub fn create_background_subtractor_mog(history: i32, nmixtures: i32, background_ratio: f64, noise_sigma: f64) -> Result<core::Ptr<dyn crate::bgsegm::BackgroundSubtractorMOG>> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_createBackgroundSubtractorMOG_int_int_double_double(history, nmixtures, background_ratio, noise_sigma, ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
let ret = unsafe { core::Ptr::<dyn crate::bgsegm::BackgroundSubtractorMOG>::opencv_from_extern(ret) };
Ok(ret)
}
/// Creates an instance of SyntheticSequenceGenerator.
///
/// ## Parameters
/// * background: Background image for object.
/// * object: Object image which will move slowly over the background.
/// * amplitude: Amplitude of wave distortion applied to background.
/// * wavelength: Length of waves in distortion applied to background.
/// * wavespeed: How fast waves will move.
/// * objspeed: How fast object will fly over background.
///
/// ## C++ default parameters
/// * amplitude: 2.0
/// * wavelength: 20.0
/// * wavespeed: 0.2
/// * objspeed: 6.0
#[inline]
pub fn create_synthetic_sequence_generator(background: &dyn core::ToInputArray, object: &dyn core::ToInputArray, amplitude: f64, wavelength: f64, wavespeed: f64, objspeed: f64) -> Result<core::Ptr<crate::bgsegm::SyntheticSequenceGenerator>> {
input_array_arg!(background);
input_array_arg!(object);
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_createSyntheticSequenceGenerator_const__InputArrayR_const__InputArrayR_double_double_double_double(background.as_raw__InputArray(), object.as_raw__InputArray(), amplitude, wavelength, wavespeed, objspeed, ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
let ret = unsafe { core::Ptr::<crate::bgsegm::SyntheticSequenceGenerator>::opencv_from_extern(ret) };
Ok(ret)
}
/// Background subtraction based on counting.
///
/// About as fast as MOG2 on a high end system.
/// More than twice faster than MOG2 on cheap hardware (benchmarked on Raspberry Pi3).
///
/// %Algorithm by Sagi Zeevi ( https://github.com/sagi-z/BackgroundSubtractorCNT )
pub trait BackgroundSubtractorCNTConst: crate::video::BackgroundSubtractorConst {
fn as_raw_BackgroundSubtractorCNT(&self) -> *const c_void;
#[inline]
fn get_background_image(&self, background_image: &mut dyn core::ToOutputArray) -> Result<()> {
output_array_arg!(background_image);
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorCNT_getBackgroundImage_const_const__OutputArrayR(self.as_raw_BackgroundSubtractorCNT(), background_image.as_raw__OutputArray(), ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
/// Returns number of frames with same pixel color to consider stable.
#[inline]
fn get_min_pixel_stability(&self) -> Result<i32> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorCNT_getMinPixelStability_const(self.as_raw_BackgroundSubtractorCNT(), ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
/// Returns maximum allowed credit for a pixel in history.
#[inline]
fn get_max_pixel_stability(&self) -> Result<i32> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorCNT_getMaxPixelStability_const(self.as_raw_BackgroundSubtractorCNT(), ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
/// Returns if we're giving a pixel credit for being stable for a long time.
#[inline]
fn get_use_history(&self) -> Result<bool> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorCNT_getUseHistory_const(self.as_raw_BackgroundSubtractorCNT(), ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
/// Returns if we're parallelizing the algorithm.
#[inline]
fn get_is_parallel(&self) -> Result<bool> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorCNT_getIsParallel_const(self.as_raw_BackgroundSubtractorCNT(), ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
}
pub trait BackgroundSubtractorCNT: crate::bgsegm::BackgroundSubtractorCNTConst + crate::video::BackgroundSubtractor {
fn as_raw_mut_BackgroundSubtractorCNT(&mut self) -> *mut c_void;
/// ## C++ default parameters
/// * learning_rate: -1
#[inline]
fn apply(&mut self, image: &dyn core::ToInputArray, fgmask: &mut dyn core::ToOutputArray, learning_rate: f64) -> Result<()> {
input_array_arg!(image);
output_array_arg!(fgmask);
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorCNT_apply_const__InputArrayR_const__OutputArrayR_double(self.as_raw_mut_BackgroundSubtractorCNT(), image.as_raw__InputArray(), fgmask.as_raw__OutputArray(), learning_rate, ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
/// Sets the number of frames with same pixel color to consider stable.
#[inline]
fn set_min_pixel_stability(&mut self, value: i32) -> Result<()> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorCNT_setMinPixelStability_int(self.as_raw_mut_BackgroundSubtractorCNT(), value, ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
/// Sets the maximum allowed credit for a pixel in history.
#[inline]
fn set_max_pixel_stability(&mut self, value: i32) -> Result<()> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorCNT_setMaxPixelStability_int(self.as_raw_mut_BackgroundSubtractorCNT(), value, ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
/// Sets if we're giving a pixel credit for being stable for a long time.
#[inline]
fn set_use_history(&mut self, value: bool) -> Result<()> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorCNT_setUseHistory_bool(self.as_raw_mut_BackgroundSubtractorCNT(), value, ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
/// Sets if we're parallelizing the algorithm.
#[inline]
fn set_is_parallel(&mut self, value: bool) -> Result<()> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorCNT_setIsParallel_bool(self.as_raw_mut_BackgroundSubtractorCNT(), value, ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
}
/// Background Subtractor module based on the algorithm given in [Gold2012](https://docs.opencv.org/4.6.0/d0/de3/citelist.html#CITEREF_Gold2012) .
///
/// Takes a series of images and returns a sequence of mask (8UC1)
/// images of the same size, where 255 indicates Foreground and 0 represents Background.
/// This class implements an algorithm described in "Visual Tracking of Human Visitors under
/// Variable-Lighting Conditions for a Responsive Audio Art Installation," A. Godbehere,
/// A. Matsukawa, K. Goldberg, American Control Conference, Montreal, June 2012.
pub trait BackgroundSubtractorGMGConst: crate::video::BackgroundSubtractorConst {
fn as_raw_BackgroundSubtractorGMG(&self) -> *const c_void;
/// Returns total number of distinct colors to maintain in histogram.
#[inline]
fn get_max_features(&self) -> Result<i32> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorGMG_getMaxFeatures_const(self.as_raw_BackgroundSubtractorGMG(), ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
/// Returns the learning rate of the algorithm.
///
/// It lies between 0.0 and 1.0. It determines how quickly features are "forgotten" from
/// histograms.
#[inline]
fn get_default_learning_rate(&self) -> Result<f64> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorGMG_getDefaultLearningRate_const(self.as_raw_BackgroundSubtractorGMG(), ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
/// Returns the number of frames used to initialize background model.
#[inline]
fn get_num_frames(&self) -> Result<i32> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorGMG_getNumFrames_const(self.as_raw_BackgroundSubtractorGMG(), ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
/// Returns the parameter used for quantization of color-space.
///
/// It is the number of discrete levels in each channel to be used in histograms.
#[inline]
fn get_quantization_levels(&self) -> Result<i32> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorGMG_getQuantizationLevels_const(self.as_raw_BackgroundSubtractorGMG(), ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
/// Returns the prior probability that each individual pixel is a background pixel.
#[inline]
fn get_background_prior(&self) -> Result<f64> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorGMG_getBackgroundPrior_const(self.as_raw_BackgroundSubtractorGMG(), ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
/// Returns the kernel radius used for morphological operations
#[inline]
fn get_smoothing_radius(&self) -> Result<i32> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorGMG_getSmoothingRadius_const(self.as_raw_BackgroundSubtractorGMG(), ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
/// Returns the value of decision threshold.
///
/// Decision value is the value above which pixel is determined to be FG.
#[inline]
fn get_decision_threshold(&self) -> Result<f64> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorGMG_getDecisionThreshold_const(self.as_raw_BackgroundSubtractorGMG(), ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
/// Returns the status of background model update
#[inline]
fn get_update_background_model(&self) -> Result<bool> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorGMG_getUpdateBackgroundModel_const(self.as_raw_BackgroundSubtractorGMG(), ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
/// Returns the minimum value taken on by pixels in image sequence. Usually 0.
#[inline]
fn get_min_val(&self) -> Result<f64> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorGMG_getMinVal_const(self.as_raw_BackgroundSubtractorGMG(), ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
/// Returns the maximum value taken on by pixels in image sequence. e.g. 1.0 or 255.
#[inline]
fn get_max_val(&self) -> Result<f64> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorGMG_getMaxVal_const(self.as_raw_BackgroundSubtractorGMG(), ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
}
pub trait BackgroundSubtractorGMG: crate::bgsegm::BackgroundSubtractorGMGConst + crate::video::BackgroundSubtractor {
fn as_raw_mut_BackgroundSubtractorGMG(&mut self) -> *mut c_void;
/// Sets total number of distinct colors to maintain in histogram.
#[inline]
fn set_max_features(&mut self, max_features: i32) -> Result<()> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorGMG_setMaxFeatures_int(self.as_raw_mut_BackgroundSubtractorGMG(), max_features, ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
/// Sets the learning rate of the algorithm.
#[inline]
fn set_default_learning_rate(&mut self, lr: f64) -> Result<()> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorGMG_setDefaultLearningRate_double(self.as_raw_mut_BackgroundSubtractorGMG(), lr, ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
/// Sets the number of frames used to initialize background model.
#[inline]
fn set_num_frames(&mut self, nframes: i32) -> Result<()> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorGMG_setNumFrames_int(self.as_raw_mut_BackgroundSubtractorGMG(), nframes, ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
/// Sets the parameter used for quantization of color-space
#[inline]
fn set_quantization_levels(&mut self, nlevels: i32) -> Result<()> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorGMG_setQuantizationLevels_int(self.as_raw_mut_BackgroundSubtractorGMG(), nlevels, ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
/// Sets the prior probability that each individual pixel is a background pixel.
#[inline]
fn set_background_prior(&mut self, bgprior: f64) -> Result<()> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorGMG_setBackgroundPrior_double(self.as_raw_mut_BackgroundSubtractorGMG(), bgprior, ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
/// Sets the kernel radius used for morphological operations
#[inline]
fn set_smoothing_radius(&mut self, radius: i32) -> Result<()> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorGMG_setSmoothingRadius_int(self.as_raw_mut_BackgroundSubtractorGMG(), radius, ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
/// Sets the value of decision threshold.
#[inline]
fn set_decision_threshold(&mut self, thresh: f64) -> Result<()> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorGMG_setDecisionThreshold_double(self.as_raw_mut_BackgroundSubtractorGMG(), thresh, ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
/// Sets the status of background model update
#[inline]
fn set_update_background_model(&mut self, update: bool) -> Result<()> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorGMG_setUpdateBackgroundModel_bool(self.as_raw_mut_BackgroundSubtractorGMG(), update, ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
/// Sets the minimum value taken on by pixels in image sequence.
#[inline]
fn set_min_val(&mut self, val: f64) -> Result<()> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorGMG_setMinVal_double(self.as_raw_mut_BackgroundSubtractorGMG(), val, ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
/// Sets the maximum value taken on by pixels in image sequence.
#[inline]
fn set_max_val(&mut self, val: f64) -> Result<()> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorGMG_setMaxVal_double(self.as_raw_mut_BackgroundSubtractorGMG(), val, ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
}
/// Implementation of the different yet better algorithm which is called GSOC, as it was implemented during GSOC and was not originated from any paper.
///
/// This algorithm demonstrates better performance on CDNET 2014 dataset compared to other algorithms in OpenCV.
pub trait BackgroundSubtractorGSOCConst: crate::video::BackgroundSubtractorConst {
fn as_raw_BackgroundSubtractorGSOC(&self) -> *const c_void;
#[inline]
fn get_background_image(&self, background_image: &mut dyn core::ToOutputArray) -> Result<()> {
output_array_arg!(background_image);
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorGSOC_getBackgroundImage_const_const__OutputArrayR(self.as_raw_BackgroundSubtractorGSOC(), background_image.as_raw__OutputArray(), ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
}
pub trait BackgroundSubtractorGSOC: crate::bgsegm::BackgroundSubtractorGSOCConst + crate::video::BackgroundSubtractor {
fn as_raw_mut_BackgroundSubtractorGSOC(&mut self) -> *mut c_void;
/// ## C++ default parameters
/// * learning_rate: -1
#[inline]
fn apply(&mut self, image: &dyn core::ToInputArray, fgmask: &mut dyn core::ToOutputArray, learning_rate: f64) -> Result<()> {
input_array_arg!(image);
output_array_arg!(fgmask);
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorGSOC_apply_const__InputArrayR_const__OutputArrayR_double(self.as_raw_mut_BackgroundSubtractorGSOC(), image.as_raw__InputArray(), fgmask.as_raw__OutputArray(), learning_rate, ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
}
/// Background Subtraction using Local SVD Binary Pattern. More details about the algorithm can be found at [LGuo2016](https://docs.opencv.org/4.6.0/d0/de3/citelist.html#CITEREF_LGuo2016)
pub trait BackgroundSubtractorLSBPConst: crate::video::BackgroundSubtractorConst {
fn as_raw_BackgroundSubtractorLSBP(&self) -> *const c_void;
#[inline]
fn get_background_image(&self, background_image: &mut dyn core::ToOutputArray) -> Result<()> {
output_array_arg!(background_image);
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorLSBP_getBackgroundImage_const_const__OutputArrayR(self.as_raw_BackgroundSubtractorLSBP(), background_image.as_raw__OutputArray(), ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
}
pub trait BackgroundSubtractorLSBP: crate::bgsegm::BackgroundSubtractorLSBPConst + crate::video::BackgroundSubtractor {
fn as_raw_mut_BackgroundSubtractorLSBP(&mut self) -> *mut c_void;
/// ## C++ default parameters
/// * learning_rate: -1
#[inline]
fn apply(&mut self, image: &dyn core::ToInputArray, fgmask: &mut dyn core::ToOutputArray, learning_rate: f64) -> Result<()> {
input_array_arg!(image);
output_array_arg!(fgmask);
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorLSBP_apply_const__InputArrayR_const__OutputArrayR_double(self.as_raw_mut_BackgroundSubtractorLSBP(), image.as_raw__InputArray(), fgmask.as_raw__OutputArray(), learning_rate, ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
}
/// This is for calculation of the LSBP descriptors.
pub trait BackgroundSubtractorLSBPDescTraitConst {
fn as_raw_BackgroundSubtractorLSBPDesc(&self) -> *const c_void;
}
pub trait BackgroundSubtractorLSBPDescTrait: crate::bgsegm::BackgroundSubtractorLSBPDescTraitConst {
fn as_raw_mut_BackgroundSubtractorLSBPDesc(&mut self) -> *mut c_void;
}
/// This is for calculation of the LSBP descriptors.
pub struct BackgroundSubtractorLSBPDesc {
ptr: *mut c_void
}
opencv_type_boxed! { BackgroundSubtractorLSBPDesc }
impl Drop for BackgroundSubtractorLSBPDesc {
fn drop(&mut self) {
extern "C" { fn cv_BackgroundSubtractorLSBPDesc_delete(instance: *mut c_void); }
unsafe { cv_BackgroundSubtractorLSBPDesc_delete(self.as_raw_mut_BackgroundSubtractorLSBPDesc()) };
}
}
unsafe impl Send for BackgroundSubtractorLSBPDesc {}
impl crate::bgsegm::BackgroundSubtractorLSBPDescTraitConst for BackgroundSubtractorLSBPDesc {
#[inline] fn as_raw_BackgroundSubtractorLSBPDesc(&self) -> *const c_void { self.as_raw() }
}
impl crate::bgsegm::BackgroundSubtractorLSBPDescTrait for BackgroundSubtractorLSBPDesc {
#[inline] fn as_raw_mut_BackgroundSubtractorLSBPDesc(&mut self) -> *mut c_void { self.as_raw_mut() }
}
impl BackgroundSubtractorLSBPDesc {
#[inline]
pub fn calc_local_svd_values(local_svd_values: &mut dyn core::ToOutputArray, frame: &core::Mat) -> Result<()> {
output_array_arg!(local_svd_values);
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorLSBPDesc_calcLocalSVDValues_const__OutputArrayR_const_MatR(local_svd_values.as_raw__OutputArray(), frame.as_raw_Mat(), ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
#[inline]
pub fn compute_from_local_svd_values(desc: &mut dyn core::ToOutputArray, local_svd_values: &core::Mat, lsbp_sample_points: &core::Point2i) -> Result<()> {
output_array_arg!(desc);
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorLSBPDesc_computeFromLocalSVDValues_const__OutputArrayR_const_MatR_const_Point2iX(desc.as_raw__OutputArray(), local_svd_values.as_raw_Mat(), lsbp_sample_points, ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
#[inline]
pub fn compute(desc: &mut dyn core::ToOutputArray, frame: &core::Mat, lsbp_sample_points: &core::Point2i) -> Result<()> {
output_array_arg!(desc);
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorLSBPDesc_compute_const__OutputArrayR_const_MatR_const_Point2iX(desc.as_raw__OutputArray(), frame.as_raw_Mat(), lsbp_sample_points, ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
}
/// Gaussian Mixture-based Background/Foreground Segmentation Algorithm.
///
/// The class implements the algorithm described in [KB2001](https://docs.opencv.org/4.6.0/d0/de3/citelist.html#CITEREF_KB2001) .
pub trait BackgroundSubtractorMOGConst: crate::video::BackgroundSubtractorConst {
fn as_raw_BackgroundSubtractorMOG(&self) -> *const c_void;
#[inline]
fn get_history(&self) -> Result<i32> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorMOG_getHistory_const(self.as_raw_BackgroundSubtractorMOG(), ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
#[inline]
fn get_n_mixtures(&self) -> Result<i32> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorMOG_getNMixtures_const(self.as_raw_BackgroundSubtractorMOG(), ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
#[inline]
fn get_background_ratio(&self) -> Result<f64> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorMOG_getBackgroundRatio_const(self.as_raw_BackgroundSubtractorMOG(), ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
#[inline]
fn get_noise_sigma(&self) -> Result<f64> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorMOG_getNoiseSigma_const(self.as_raw_BackgroundSubtractorMOG(), ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
}
pub trait BackgroundSubtractorMOG: crate::bgsegm::BackgroundSubtractorMOGConst + crate::video::BackgroundSubtractor {
fn as_raw_mut_BackgroundSubtractorMOG(&mut self) -> *mut c_void;
#[inline]
fn set_history(&mut self, nframes: i32) -> Result<()> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorMOG_setHistory_int(self.as_raw_mut_BackgroundSubtractorMOG(), nframes, ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
#[inline]
fn set_n_mixtures(&mut self, nmix: i32) -> Result<()> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorMOG_setNMixtures_int(self.as_raw_mut_BackgroundSubtractorMOG(), nmix, ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
#[inline]
fn set_background_ratio(&mut self, background_ratio: f64) -> Result<()> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorMOG_setBackgroundRatio_double(self.as_raw_mut_BackgroundSubtractorMOG(), background_ratio, ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
#[inline]
fn set_noise_sigma(&mut self, noise_sigma: f64) -> Result<()> {
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_BackgroundSubtractorMOG_setNoiseSigma_double(self.as_raw_mut_BackgroundSubtractorMOG(), noise_sigma, ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
}
/// Synthetic frame sequence generator for testing background subtraction algorithms.
///
/// It will generate the moving object on top of the background.
/// It will apply some distortion to the background to make the test more complex.
pub trait SyntheticSequenceGeneratorTraitConst: core::AlgorithmTraitConst {
fn as_raw_SyntheticSequenceGenerator(&self) -> *const c_void;
}
pub trait SyntheticSequenceGeneratorTrait: core::AlgorithmTrait + crate::bgsegm::SyntheticSequenceGeneratorTraitConst {
fn as_raw_mut_SyntheticSequenceGenerator(&mut self) -> *mut c_void;
/// Obtain the next frame in the sequence.
///
/// ## Parameters
/// * frame: Output frame.
/// * gtMask: Output ground-truth (reference) segmentation mask object/background.
#[inline]
fn get_next_frame(&mut self, frame: &mut dyn core::ToOutputArray, gt_mask: &mut dyn core::ToOutputArray) -> Result<()> {
output_array_arg!(frame);
output_array_arg!(gt_mask);
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_SyntheticSequenceGenerator_getNextFrame_const__OutputArrayR_const__OutputArrayR(self.as_raw_mut_SyntheticSequenceGenerator(), frame.as_raw__OutputArray(), gt_mask.as_raw__OutputArray(), ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
Ok(ret)
}
}
/// Synthetic frame sequence generator for testing background subtraction algorithms.
///
/// It will generate the moving object on top of the background.
/// It will apply some distortion to the background to make the test more complex.
pub struct SyntheticSequenceGenerator {
ptr: *mut c_void
}
opencv_type_boxed! { SyntheticSequenceGenerator }
impl Drop for SyntheticSequenceGenerator {
fn drop(&mut self) {
extern "C" { fn cv_SyntheticSequenceGenerator_delete(instance: *mut c_void); }
unsafe { cv_SyntheticSequenceGenerator_delete(self.as_raw_mut_SyntheticSequenceGenerator()) };
}
}
unsafe impl Send for SyntheticSequenceGenerator {}
impl core::AlgorithmTraitConst for SyntheticSequenceGenerator {
#[inline] fn as_raw_Algorithm(&self) -> *const c_void { self.as_raw() }
}
impl core::AlgorithmTrait for SyntheticSequenceGenerator {
#[inline] fn as_raw_mut_Algorithm(&mut self) -> *mut c_void { self.as_raw_mut() }
}
impl crate::bgsegm::SyntheticSequenceGeneratorTraitConst for SyntheticSequenceGenerator {
#[inline] fn as_raw_SyntheticSequenceGenerator(&self) -> *const c_void { self.as_raw() }
}
impl crate::bgsegm::SyntheticSequenceGeneratorTrait for SyntheticSequenceGenerator {
#[inline] fn as_raw_mut_SyntheticSequenceGenerator(&mut self) -> *mut c_void { self.as_raw_mut() }
}
impl SyntheticSequenceGenerator {
/// Creates an instance of SyntheticSequenceGenerator.
///
/// ## Parameters
/// * background: Background image for object.
/// * object: Object image which will move slowly over the background.
/// * amplitude: Amplitude of wave distortion applied to background.
/// * wavelength: Length of waves in distortion applied to background.
/// * wavespeed: How fast waves will move.
/// * objspeed: How fast object will fly over background.
#[inline]
pub fn new(background: &dyn core::ToInputArray, object: &dyn core::ToInputArray, amplitude: f64, wavelength: f64, wavespeed: f64, objspeed: f64) -> Result<crate::bgsegm::SyntheticSequenceGenerator> {
input_array_arg!(background);
input_array_arg!(object);
return_send!(via ocvrs_return);
unsafe { sys::cv_bgsegm_SyntheticSequenceGenerator_SyntheticSequenceGenerator_const__InputArrayR_const__InputArrayR_double_double_double_double(background.as_raw__InputArray(), object.as_raw__InputArray(), amplitude, wavelength, wavespeed, objspeed, ocvrs_return.as_mut_ptr()) };
return_receive!(unsafe ocvrs_return => ret);
let ret = ret.into_result()?;
let ret = unsafe { crate::bgsegm::SyntheticSequenceGenerator::opencv_from_extern(ret) };
Ok(ret)
}
}
boxed_cast_base! { SyntheticSequenceGenerator, core::Algorithm, cv_SyntheticSequenceGenerator_to_Algorithm }