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Author SHA1 Message Date
Alexander Alekhin
64c67a93d3 Merge pull request #18246 from YashasSamaga:dnn-permute-fix-unwanted-ocl-init 2020-09-02 21:15:19 +00:00
Alexander Alekhin
154380ccf5 Merge pull request #18234 from l-bat:onnx_reshape 2020-09-02 19:31:22 +00:00
Alexander Alekhin
1f2c83845d backport: checks and fixes from static code analyzers results 
original commit: 71f665bd8c
 2020-09-02 19:05:47 +00:00
Liubov Batanina
2349a09736 Support Reshape with zero dim 2020-09-02 11:58:43 +03:00
YashasSamaga
1df533c914 fix typo in fusion tests 2020-09-02 14:25:36 +05:30
YashasSamaga
44bf748479 do not allocate UMat in non-OpenCL targets 2020-09-02 12:18:41 +05:30
Alexander Alekhin
f9fbd29c14 Merge pull request #18225 from dmici:fix_missing_0.5_factor_in_anisotropic_segmentation_tutorial 2020-09-01 20:49:59 +00:00
pemmanuelviel
31dc3e9256
Merge pull request #18211 from pemmanuelviel:pev--handle-dna-vectors 
* DNA-mode: update miniflann to handle DNA

* DNA-mode: update hierarchical kmeans to handle DNA sequences
 2020-09-01 20:38:21 +00:00
Yosshi999
698b2bf729
Merge pull request #18167 from Yosshi999:bit-exact-gaussian 
Bit exact gaussian blur for 16bit unsigned int

* bit-exact gaussian kernel for CV_16U

* SIMD optimization

* template GaussianBlurFixedPoint

* remove template specialization

* simd support for h3N121 uint16

* test for u16 gaussian blur

* remove unnecessary comments

* fix return type of raw()

* add typedef of native internal type in fixedpoint

* update return type of raw()
 2020-09-01 10:28:25 +00:00
Alexander Alekhin
1d42560018 Merge pull request #18235 from alalek:ocl_off_cleanup 2020-08-31 20:37:41 +00:00
Alexander Alekhin
efcf307b4c ocl: cleanup dead code in case of disabled OpenCL 2020-08-31 11:30:42 +00:00
dmici
6876f3b91d fix missing 0.5 factor in anisotropic segmentation tutorial 2020-08-30 10:17:50 +02:00
Yosshi999
7495a4722f
Merge pull request #18053 from Yosshi999:bit-exact-resizeNN 
Bit-exact Nearest Neighbor Resizing

* bit exact resizeNN

* change the value of method enum

* add bitexact-nn to ResizeExactTest

* test to compare with non-exact version

* add perf for bit-exact resizenn

* use cvFloor-equivalent

* 1/3 scaling is not stable for floating calculation

* stricter test

* bugfix: broken data in case of 6 or 12bytes elements

* bugfix: broken data in default pix_size

* stricter threshold

* use raw() for floor

* use double instead of int

* follow code reviews

* fewer cases in perf test

* center pixel convention
 2020-08-28 21:20:05 +03:00
Alexander Alekhin
7ce56b3a47 Merge pull request #18207 from pemmanuelviel:pev--fix-memset 2020-08-27 17:10:23 +00:00
Pierre-Emmanuel Viel
5376863c0c bugfix 2020-08-27 12:21:02 +02:00
Alessandro de Oliveira Faria (A.K.A.CABELO)
a86e036594
Merge pull request #18184 from cabelo:yolov4-in-model 
ADD yolov4 in models.yml
 2020-08-26 22:30:12 +00:00
Alexander Alekhin
01324b02e7 Merge pull request #18136 from nglee:dev_cudaEqualizeHistBitExact 2020-08-26 12:11:43 +00:00
Alexander Alekhin
792722865f Merge pull request #17919 from zhaoyue-zephyrus:flownet2_with_anysize 2020-08-26 11:43:17 +00:00
Sergei Slashchinin
9aa401a7d0
Merge pull request #17978 from sl-sergei:fix_17516_17531 
* Fix ONNX loading in issues opencv#17516, opencv#17531

* Add tests for Linear and Matmul layers

* Disable tests for IE versions lower than 20.4

* Skip unstable tests with OpenCL FP16 on Intel GPU

* Add correct test filtering for OpenCL FP16 tests
 2020-08-26 10:15:59 +00:00
jinyup100
a160e4fb6b
Merge pull request #17647 from jinyup100:add-siamrpnpp 
[GSoC] Add siamrpnpp.py

* Updated base branch with siamrpnpp.py

* Addition of Parsers

* Merged to using few ONNX files, Changes to Parsers, Links to Repo

* Deleted whitespace

* Adjusting flake8 error

* Fixes according to review

* Fix according to review

* Addition of OpenVINO backends and Computation target devices

* Fix on backend after review

* Fixes after review

* Remove extra white space

* Removed Repeated Varaibles
 2020-08-25 20:01:16 +00:00
Alexander Alekhin
c7422e4d90 Merge pull request #18171 from catree:fix_pnp_doc 2020-08-25 18:24:30 +00:00
Alexander Alekhin
485d2b593c Merge pull request #18178 from catree:improve_camera_matrix_doc 2020-08-25 13:33:39 +00:00
Alexander Alekhin
1bea537731 Merge pull request #18165 from catree:fix_hand_eye_calibration_Andreff_NaN_3.4 2020-08-25 13:28:21 +00:00
Alexander Alekhin
75e88d613f Merge pull request #18185 from VadimLevin:dev/vlevin/ffmpeg-versions-guard-fix 2020-08-25 07:29:42 +00:00
catree
379b83e946 Fix cubic root computation to be able to handle negative values. Improve doc. Add regression test. 2020-08-25 03:37:56 +02:00
catree
dda1bf1887 Add broken implementation note for DLS and UPnP. 
Add CV_LOG_DEBUG.
 2020-08-25 03:07:00 +02:00
Vadim Levin
f7e524cbe6 fix: libavcodec version check for AVDISCARD_NONINTRA 
- AVDISCARD_NONINTRA flag is supported only for FFMPEG libraries pack
 2020-08-24 23:12:49 +03:00
Vadim Levin
e503ac508e fix: libavcodec version check for AV_CODEC_FLAG_GLOBAL_HEADER 2020-08-24 23:07:25 +03:00
Alexander Alekhin
f5ba3f51ce Merge pull request #18181 from l-bat:onnx_pow 2020-08-24 14:18:08 +00:00
Liubov Batanina
d392b11dfb Supported ONNX Pow op 2020-08-24 11:20:18 +03:00
catree
cd01ee9a54 Use camera intrinsic matrix everywhere. Add cameramatrix, distcoeffs and distcoeffsfisheye macros to avoid copy/paste errors. 2020-08-24 05:39:23 +02:00
Ian Maquignaz
8c1af09989
Merge pull request #18083 from IanMaquignaz:fix_gen_pattern_centering 
* Fixed centering issue with make_cicle_pattern and make_acircle_pattern()

* Fixed issue where asymmetric circles were not at 45 degree angles. Also fixed support for inch measurement by converting parsing to usage of floating points for page size

* Fixed copy-paste error from experimental workspace
 2020-08-23 22:32:58 +00:00
Alexander Alekhin
f53ff0d01c Merge pull request #18151 from alalek:core_trace_fix_location 2020-08-21 18:54:40 +00:00
Alexander Alekhin
4f48dab023 Merge pull request #18150 from alalek:ocl_async_cleanup_no_warning 2020-08-21 18:54:08 +00:00
Namgoo Lee
a7ffcaab28 Remove compiler warnings 2020-08-21 23:52:30 +09:00
Namgoo Lee
f617f18e46 bit-exact cuda::equalizeHist 2020-08-21 22:53:40 +09:00
Alexander Alekhin
4372d75b26 Merge pull request #18135 from AnnaPetrovicheva:logo_text 2020-08-21 13:07:26 +00:00
Clement Courbet
da555a2c9b Optimize opencv dft by vectorizing radix2 and radix3. 
This is useful for non power-of-two sizes when WITH_IPP is not an option.

This shows consistent improvement over openCV benchmarks, and we measure
even larger improvements on our internal workloads.

For example, for 320x480, `32FC*`, we can see a ~5% improvement}, as
`320=2^6*5` and `480=2^5*3*5`, so the improved radix3 version is used.
`64FC*` is flat as expected, as we do not specialize the functors for `double`
in this change.

```
dft::Size_MatType_FlagsType_NzeroRows::(320x480, 32FC1, 0, false)                                1.239  1.153     1.07
dft::Size_MatType_FlagsType_NzeroRows::(320x480, 32FC1, 0, true)                                 0.991  0.926     1.07
dft::Size_MatType_FlagsType_NzeroRows::(320x480, 32FC1, DFT_COMPLEX_OUTPUT, false)               1.367  1.281     1.07
dft::Size_MatType_FlagsType_NzeroRows::(320x480, 32FC1, DFT_COMPLEX_OUTPUT, true)                1.114  1.049     1.06
dft::Size_MatType_FlagsType_NzeroRows::(320x480, 32FC1, DFT_INVERSE, false)                      1.313  1.254     1.05
dft::Size_MatType_FlagsType_NzeroRows::(320x480, 32FC1, DFT_INVERSE, true)                       1.027  0.977     1.05
dft::Size_MatType_FlagsType_NzeroRows::(320x480, 32FC1, DFT_INVERSE|DFT_COMPLEX_OUTPUT, false)   1.296  1.217     1.06
dft::Size_MatType_FlagsType_NzeroRows::(320x480, 32FC1, DFT_INVERSE|DFT_COMPLEX_OUTPUT, true)    1.039  0.963     1.08
dft::Size_MatType_FlagsType_NzeroRows::(320x480, 32FC1, DFT_ROWS, false)                         0.542  0.524     1.04
dft::Size_MatType_FlagsType_NzeroRows::(320x480, 32FC1, DFT_ROWS, true)                          0.293  0.277     1.06
dft::Size_MatType_FlagsType_NzeroRows::(320x480, 32FC1, DFT_SCALE, false)                        1.265  1.175     1.08
dft::Size_MatType_FlagsType_NzeroRows::(320x480, 32FC1, DFT_SCALE, true)                         1.004  0.942     1.07
dft::Size_MatType_FlagsType_NzeroRows::(320x480, 64FC1, 0, false)                                1.292  1.280     1.01
dft::Size_MatType_FlagsType_NzeroRows::(320x480, 64FC1, 0, true)                                 1.038  1.030     1.01
dft::Size_MatType_FlagsType_NzeroRows::(320x480, 64FC1, DFT_COMPLEX_OUTPUT, false)               1.484  1.488     1.00
dft::Size_MatType_FlagsType_NzeroRows::(320x480, 64FC1, DFT_COMPLEX_OUTPUT, true)                1.222  1.224     1.00
dft::Size_MatType_FlagsType_NzeroRows::(320x480, 64FC1, DFT_INVERSE, false)                      1.380  1.355     1.02
dft::Size_MatType_FlagsType_NzeroRows::(320x480, 64FC1, DFT_INVERSE, true)                       1.117  1.133     0.99
dft::Size_MatType_FlagsType_NzeroRows::(320x480, 64FC1, DFT_INVERSE|DFT_COMPLEX_OUTPUT, false)   1.372  1.383     0.99
dft::Size_MatType_FlagsType_NzeroRows::(320x480, 64FC1, DFT_INVERSE|DFT_COMPLEX_OUTPUT, true)    1.117  1.127     0.99
dft::Size_MatType_FlagsType_NzeroRows::(320x480, 64FC1, DFT_ROWS, false)                         0.546  0.539     1.01
dft::Size_MatType_FlagsType_NzeroRows::(320x480, 64FC1, DFT_ROWS, true)                          0.293  0.299     0.98
dft::Size_MatType_FlagsType_NzeroRows::(320x480, 64FC1, DFT_SCALE, false)                        1.351  1.339     1.01
dft::Size_MatType_FlagsType_NzeroRows::(320x480, 64FC1, DFT_SCALE, true)                         1.099  1.092     1.01
dft::Size_MatType_FlagsType_NzeroRows::(320x480, 32FC2, 0, false)                                2.235  2.123     1.05
dft::Size_MatType_FlagsType_NzeroRows::(320x480, 32FC2, 0, true)                                 1.843  1.727     1.07
dft::Size_MatType_FlagsType_NzeroRows::(320x480, 32FC2, DFT_COMPLEX_OUTPUT, false)               2.189  2.109     1.04
dft::Size_MatType_FlagsType_NzeroRows::(320x480, 32FC2, DFT_COMPLEX_OUTPUT, true)                1.827  1.754     1.04
dft::Size_MatType_FlagsType_NzeroRows::(320x480, 32FC2, DFT_INVERSE, false)                      2.392  2.309     1.04
dft::Size_MatType_FlagsType_NzeroRows::(320x480, 32FC2, DFT_INVERSE, true)                       1.951  1.865     1.05
dft::Size_MatType_FlagsType_NzeroRows::(320x480, 32FC2, DFT_INVERSE|DFT_COMPLEX_OUTPUT, false)   2.391  2.293     1.04
dft::Size_MatType_FlagsType_NzeroRows::(320x480, 32FC2, DFT_INVERSE|DFT_COMPLEX_OUTPUT, true)    1.954  1.882     1.04
dft::Size_MatType_FlagsType_NzeroRows::(320x480, 32FC2, DFT_ROWS, false)                         0.811  0.815     0.99
dft::Size_MatType_FlagsType_NzeroRows::(320x480, 32FC2, DFT_ROWS, true)                          0.426  0.437     0.98
dft::Size_MatType_FlagsType_NzeroRows::(320x480, 32FC2, DFT_SCALE, false)                        2.268  2.152     1.05
dft::Size_MatType_FlagsType_NzeroRows::(320x480, 32FC2, DFT_SCALE, true)                         1.893  1.788     1.06
dft::Size_MatType_FlagsType_NzeroRows::(800x600, 32FC1, 0, false)                                4.546  4.395     1.03
dft::Size_MatType_FlagsType_NzeroRows::(800x600, 32FC1, 0, true)                                 3.616  3.426     1.06
dft::Size_MatType_FlagsType_NzeroRows::(800x600, 32FC1, DFT_COMPLEX_OUTPUT, false)               4.843  4.668     1.04
dft::Size_MatType_FlagsType_NzeroRows::(800x600, 32FC1, DFT_COMPLEX_OUTPUT, true)                3.825  3.748     1.02
dft::Size_MatType_FlagsType_NzeroRows::(800x600, 32FC1, DFT_INVERSE, false)                      4.720  4.525     1.04
dft::Size_MatType_FlagsType_NzeroRows::(800x600, 32FC1, DFT_INVERSE, true)                       3.743  3.601     1.04
dft::Size_MatType_FlagsType_NzeroRows::(800x600, 32FC1, DFT_INVERSE|DFT_COMPLEX_OUTPUT, false)   4.755  4.527     1.05
dft::Size_MatType_FlagsType_NzeroRows::(800x600, 32FC1, DFT_INVERSE|DFT_COMPLEX_OUTPUT, true)    3.744  3.586     1.04
dft::Size_MatType_FlagsType_NzeroRows::(800x600, 32FC1, DFT_ROWS, false)                         1.992  2.012     0.99
dft::Size_MatType_FlagsType_NzeroRows::(800x600, 32FC1, DFT_ROWS, true)                          1.048  1.048     1.00
dft::Size_MatType_FlagsType_NzeroRows::(800x600, 32FC1, DFT_SCALE, false)                        4.625  4.451     1.04
dft::Size_MatType_FlagsType_NzeroRows::(800x600, 32FC1, DFT_SCALE, true)                         3.643  3.491     1.04
dft::Size_MatType_FlagsType_NzeroRows::(800x600, 64FC1, 0, false)                                4.499  4.488     1.00
dft::Size_MatType_FlagsType_NzeroRows::(800x600, 64FC1, 0, true)                                 3.559  3.555     1.00
dft::Size_MatType_FlagsType_NzeroRows::(800x600, 64FC1, DFT_COMPLEX_OUTPUT, false)               5.155  5.165     1.00
dft::Size_MatType_FlagsType_NzeroRows::(800x600, 64FC1, DFT_COMPLEX_OUTPUT, true)                4.103  4.101     1.00
dft::Size_MatType_FlagsType_NzeroRows::(800x600, 64FC1, DFT_INVERSE, false)                      5.484  5.474     1.00
dft::Size_MatType_FlagsType_NzeroRows::(800x600, 64FC1, DFT_INVERSE, true)                       4.617  4.518     1.02
dft::Size_MatType_FlagsType_NzeroRows::(800x600, 64FC1, DFT_INVERSE|DFT_COMPLEX_OUTPUT, false)   5.547  5.509     1.01
dft::Size_MatType_FlagsType_NzeroRows::(800x600, 64FC1, DFT_INVERSE|DFT_COMPLEX_OUTPUT, true)    4.553  4.554     1.00
dft::Size_MatType_FlagsType_NzeroRows::(800x600, 64FC1, DFT_ROWS, false)                         2.067  2.018     1.02
dft::Size_MatType_FlagsType_NzeroRows::(800x600, 64FC1, DFT_ROWS, true)                          1.104  1.079     1.02
dft::Size_MatType_FlagsType_NzeroRows::(800x600, 64FC1, DFT_SCALE, false)                        4.665  4.619     1.01
dft::Size_MatType_FlagsType_NzeroRows::(800x600, 64FC1, DFT_SCALE, true)                         3.698  3.681     1.00
dft::Size_MatType_FlagsType_NzeroRows::(800x600, 32FC2, 0, false)                                8.774  8.275     1.06
dft::Size_MatType_FlagsType_NzeroRows::(800x600, 32FC2, 0, true)                                 6.975  6.527     1.07
dft::Size_MatType_FlagsType_NzeroRows::(800x600, 32FC2, DFT_COMPLEX_OUTPUT, false)               8.720  8.270     1.05
dft::Size_MatType_FlagsType_NzeroRows::(800x600, 32FC2, DFT_COMPLEX_OUTPUT, true)                6.928  6.532     1.06
dft::Size_MatType_FlagsType_NzeroRows::(800x600, 32FC2, DFT_INVERSE, false)                      9.272  8.862     1.05
dft::Size_MatType_FlagsType_NzeroRows::(800x600, 32FC2, DFT_INVERSE, true)                       7.323  6.946     1.05
dft::Size_MatType_FlagsType_NzeroRows::(800x600, 32FC2, DFT_INVERSE|DFT_COMPLEX_OUTPUT, false)   9.262  8.768     1.06
dft::Size_MatType_FlagsType_NzeroRows::(800x600, 32FC2, DFT_INVERSE|DFT_COMPLEX_OUTPUT, true)    7.298  6.871     1.06
dft::Size_MatType_FlagsType_NzeroRows::(800x600, 32FC2, DFT_ROWS, false)                         3.766  3.639     1.03
dft::Size_MatType_FlagsType_NzeroRows::(800x600, 32FC2, DFT_ROWS, true)                          1.932  1.889     1.02
dft::Size_MatType_FlagsType_NzeroRows::(800x600, 32FC2, DFT_SCALE, false)                        8.865  8.417     1.05
dft::Size_MatType_FlagsType_NzeroRows::(800x600, 32FC2, DFT_SCALE, true)                         7.067  6.643     1.06
dft::Size_MatType_FlagsType_NzeroRows::(1280x1024, 32FC1, 0, false)                              10.014 10.141    0.99
dft::Size_MatType_FlagsType_NzeroRows::(1280x1024, 32FC1, 0, true)                               7.600  7.632     1.00
dft::Size_MatType_FlagsType_NzeroRows::(1280x1024, 32FC1, DFT_COMPLEX_OUTPUT, false)             11.059 11.283    0.98
dft::Size_MatType_FlagsType_NzeroRows::(1280x1024, 32FC1, DFT_COMPLEX_OUTPUT, true)              8.475  8.552     0.99
dft::Size_MatType_FlagsType_NzeroRows::(1280x1024, 32FC1, DFT_INVERSE, false)                    12.678 12.789    0.99
dft::Size_MatType_FlagsType_NzeroRows::(1280x1024, 32FC1, DFT_INVERSE, true)                     10.445 10.359    1.01
dft::Size_MatType_FlagsType_NzeroRows::(1280x1024, 32FC1, DFT_INVERSE|DFT_COMPLEX_OUTPUT, false) 12.626 12.925    0.98
dft::Size_MatType_FlagsType_NzeroRows::(1280x1024, 32FC1, DFT_INVERSE|DFT_COMPLEX_OUTPUT, true)  10.538 10.553    1.00
dft::Size_MatType_FlagsType_NzeroRows::(1280x1024, 32FC1, DFT_ROWS, false)                       5.041  5.084     0.99
dft::Size_MatType_FlagsType_NzeroRows::(1280x1024, 32FC1, DFT_ROWS, true)                        2.595  2.607     1.00
dft::Size_MatType_FlagsType_NzeroRows::(1280x1024, 32FC1, DFT_SCALE, false)                      10.231 10.330    0.99
dft::Size_MatType_FlagsType_NzeroRows::(1280x1024, 32FC1, DFT_SCALE, true)                       7.786  7.815     1.00
dft::Size_MatType_FlagsType_NzeroRows::(1280x1024, 64FC1, 0, false)                              13.597 13.302    1.02
dft::Size_MatType_FlagsType_NzeroRows::(1280x1024, 64FC1, 0, true)                               10.377 10.207    1.02
dft::Size_MatType_FlagsType_NzeroRows::(1280x1024, 64FC1, DFT_COMPLEX_OUTPUT, false)             15.940 15.545    1.03
dft::Size_MatType_FlagsType_NzeroRows::(1280x1024, 64FC1, DFT_COMPLEX_OUTPUT, true)              12.299 12.230    1.01
dft::Size_MatType_FlagsType_NzeroRows::(1280x1024, 64FC1, DFT_INVERSE, false)                    15.270 15.181    1.01
dft::Size_MatType_FlagsType_NzeroRows::(1280x1024, 64FC1, DFT_INVERSE, true)                     12.757 12.339    1.03
dft::Size_MatType_FlagsType_NzeroRows::(1280x1024, 64FC1, DFT_INVERSE|DFT_COMPLEX_OUTPUT, false) 15.512 15.157    1.02
dft::Size_MatType_FlagsType_NzeroRows::(1280x1024, 64FC1, DFT_INVERSE|DFT_COMPLEX_OUTPUT, true)  12.505 12.635    0.99
dft::Size_MatType_FlagsType_NzeroRows::(1280x1024, 64FC1, DFT_ROWS, false)                       6.359  6.255     1.02
dft::Size_MatType_FlagsType_NzeroRows::(1280x1024, 64FC1, DFT_ROWS, true)                        3.314  3.248     1.02
dft::Size_MatType_FlagsType_NzeroRows::(1280x1024, 64FC1, DFT_SCALE, false)                      13.937 13.733    1.01
dft::Size_MatType_FlagsType_NzeroRows::(1280x1024, 64FC1, DFT_SCALE, true)                       10.782 10.495    1.03
dft::Size_MatType_FlagsType_NzeroRows::(1280x1024, 32FC2, 0, false)                              18.985 18.926    1.00
dft::Size_MatType_FlagsType_NzeroRows::(1280x1024, 32FC2, 0, true)                               14.256 14.509    0.98
dft::Size_MatType_FlagsType_NzeroRows::(1280x1024, 32FC2, DFT_COMPLEX_OUTPUT, false)             18.696 19.021    0.98
dft::Size_MatType_FlagsType_NzeroRows::(1280x1024, 32FC2, DFT_COMPLEX_OUTPUT, true)              14.290 14.429    0.99
dft::Size_MatType_FlagsType_NzeroRows::(1280x1024, 32FC2, DFT_INVERSE, false)                    20.135 20.296    0.99
dft::Size_MatType_FlagsType_NzeroRows::(1280x1024, 32FC2, DFT_INVERSE, true)                     15.390 15.512    0.99
dft::Size_MatType_FlagsType_NzeroRows::(1280x1024, 32FC2, DFT_INVERSE|DFT_COMPLEX_OUTPUT, false) 20.121 20.354    0.99
dft::Size_MatType_FlagsType_NzeroRows::(1280x1024, 32FC2, DFT_INVERSE|DFT_COMPLEX_OUTPUT, true)  15.341 15.605    0.98
dft::Size_MatType_FlagsType_NzeroRows::(1280x1024, 32FC2, DFT_ROWS, false)                       8.932  9.084     0.98
dft::Size_MatType_FlagsType_NzeroRows::(1280x1024, 32FC2, DFT_ROWS, true)                        4.539  4.649     0.98
dft::Size_MatType_FlagsType_NzeroRows::(1280x1024, 32FC2, DFT_SCALE, false)                      19.137 19.303    0.99
dft::Size_MatType_FlagsType_NzeroRows::(1280x1024, 32FC2, DFT_SCALE, true)                       14.565 14.808    0.98
dft::Size_MatType_FlagsType_NzeroRows::(1920x1080, 32FC1, 0, false)                              22.553 21.171    1.07
dft::Size_MatType_FlagsType_NzeroRows::(1920x1080, 32FC1, 0, true)                               17.850 16.390    1.09
dft::Size_MatType_FlagsType_NzeroRows::(1920x1080, 32FC1, DFT_COMPLEX_OUTPUT, false)             24.062 22.634    1.06
dft::Size_MatType_FlagsType_NzeroRows::(1920x1080, 32FC1, DFT_COMPLEX_OUTPUT, true)              19.342 17.932    1.08
dft::Size_MatType_FlagsType_NzeroRows::(1920x1080, 32FC1, DFT_INVERSE, false)                    28.609 27.326    1.05
dft::Size_MatType_FlagsType_NzeroRows::(1920x1080, 32FC1, DFT_INVERSE, true)                     24.591 23.289    1.06
dft::Size_MatType_FlagsType_NzeroRows::(1920x1080, 32FC1, DFT_INVERSE|DFT_COMPLEX_OUTPUT, false) 28.667 27.467    1.04
dft::Size_MatType_FlagsType_NzeroRows::(1920x1080, 32FC1, DFT_INVERSE|DFT_COMPLEX_OUTPUT, true)  24.671 23.309    1.06
dft::Size_MatType_FlagsType_NzeroRows::(1920x1080, 32FC1, DFT_ROWS, false)                       9.458  9.077     1.04
dft::Size_MatType_FlagsType_NzeroRows::(1920x1080, 32FC1, DFT_ROWS, true)                        4.709  4.566     1.03
dft::Size_MatType_FlagsType_NzeroRows::(1920x1080, 32FC1, DFT_SCALE, false)                      22.791 21.583    1.06
dft::Size_MatType_FlagsType_NzeroRows::(1920x1080, 32FC1, DFT_SCALE, true)                       18.029 16.691    1.08
dft::Size_MatType_FlagsType_NzeroRows::(1920x1080, 64FC1, 0, false)                              25.238 24.427    1.03
dft::Size_MatType_FlagsType_NzeroRows::(1920x1080, 64FC1, 0, true)                               19.636 19.270    1.02
dft::Size_MatType_FlagsType_NzeroRows::(1920x1080, 64FC1, DFT_COMPLEX_OUTPUT, false)             28.342 27.957    1.01
dft::Size_MatType_FlagsType_NzeroRows::(1920x1080, 64FC1, DFT_COMPLEX_OUTPUT, true)              22.413 22.477    1.00
dft::Size_MatType_FlagsType_NzeroRows::(1920x1080, 64FC1, DFT_INVERSE, false)                    26.465 26.085    1.01
dft::Size_MatType_FlagsType_NzeroRows::(1920x1080, 64FC1, DFT_INVERSE, true)                     21.972 21.704    1.01
dft::Size_MatType_FlagsType_NzeroRows::(1920x1080, 64FC1, DFT_INVERSE|DFT_COMPLEX_OUTPUT, false) 26.497 26.127    1.01
dft::Size_MatType_FlagsType_NzeroRows::(1920x1080, 64FC1, DFT_INVERSE|DFT_COMPLEX_OUTPUT, true)  22.010 21.523    1.02
dft::Size_MatType_FlagsType_NzeroRows::(1920x1080, 64FC1, DFT_ROWS, false)                       11.188 10.774    1.04
dft::Size_MatType_FlagsType_NzeroRows::(1920x1080, 64FC1, DFT_ROWS, true)                        6.094  5.916     1.03
dft::Size_MatType_FlagsType_NzeroRows::(1920x1080, 64FC1, DFT_SCALE, false)                      25.728 24.934    1.03
dft::Size_MatType_FlagsType_NzeroRows::(1920x1080, 64FC1, DFT_SCALE, true)                       20.077 19.653    1.02
dft::Size_MatType_FlagsType_NzeroRows::(1920x1080, 32FC2, 0, false)                              43.834 40.726    1.08
dft::Size_MatType_FlagsType_NzeroRows::(1920x1080, 32FC2, 0, true)                               35.198 32.218    1.09
dft::Size_MatType_FlagsType_NzeroRows::(1920x1080, 32FC2, DFT_COMPLEX_OUTPUT, false)             43.743 40.897    1.07
dft::Size_MatType_FlagsType_NzeroRows::(1920x1080, 32FC2, DFT_COMPLEX_OUTPUT, true)              35.240 32.226    1.09
dft::Size_MatType_FlagsType_NzeroRows::(1920x1080, 32FC2, DFT_INVERSE, false)                    46.022 42.612    1.08
dft::Size_MatType_FlagsType_NzeroRows::(1920x1080, 32FC2, DFT_INVERSE, true)                     36.779 33.961    1.08
dft::Size_MatType_FlagsType_NzeroRows::(1920x1080, 32FC2, DFT_INVERSE|DFT_COMPLEX_OUTPUT, false) 46.396 42.723    1.09
dft::Size_MatType_FlagsType_NzeroRows::(1920x1080, 32FC2, DFT_INVERSE|DFT_COMPLEX_OUTPUT, true)  37.025 33.874    1.09
dft::Size_MatType_FlagsType_NzeroRows::(1920x1080, 32FC2, DFT_ROWS, false)                       17.334 16.832    1.03
dft::Size_MatType_FlagsType_NzeroRows::(1920x1080, 32FC2, DFT_ROWS, true)                        9.212  8.970     1.03
dft::Size_MatType_FlagsType_NzeroRows::(1920x1080, 32FC2, DFT_SCALE, false)                      44.190 41.211    1.07
dft::Size_MatType_FlagsType_NzeroRows::(1920x1080, 32FC2, DFT_SCALE, true)                       35.900 32.888    1.09
dft::Size_MatType_FlagsType_NzeroRows::(2048x2048, 32FC1, 0, false)                              40.948 38.256    1.07
dft::Size_MatType_FlagsType_NzeroRows::(2048x2048, 32FC1, 0, true)                               33.825 30.759    1.10
dft::Size_MatType_FlagsType_NzeroRows::(2048x2048, 32FC1, DFT_COMPLEX_OUTPUT, false)             53.210 53.584    0.99
dft::Size_MatType_FlagsType_NzeroRows::(2048x2048, 32FC1, DFT_COMPLEX_OUTPUT, true)              46.356 46.712    0.99
dft::Size_MatType_FlagsType_NzeroRows::(2048x2048, 32FC1, DFT_INVERSE, false)                    47.471 47.213    1.01
dft::Size_MatType_FlagsType_NzeroRows::(2048x2048, 32FC1, DFT_INVERSE, true)                     40.491 41.363    0.98
dft::Size_MatType_FlagsType_NzeroRows::(2048x2048, 32FC1, DFT_INVERSE|DFT_COMPLEX_OUTPUT, false) 46.724 47.049    0.99
dft::Size_MatType_FlagsType_NzeroRows::(2048x2048, 32FC1, DFT_INVERSE|DFT_COMPLEX_OUTPUT, true)  40.834 41.381    0.99
dft::Size_MatType_FlagsType_NzeroRows::(2048x2048, 32FC1, DFT_ROWS, false)                       14.508 14.490    1.00
dft::Size_MatType_FlagsType_NzeroRows::(2048x2048, 32FC1, DFT_ROWS, true)                        7.832  7.828     1.00
dft::Size_MatType_FlagsType_NzeroRows::(2048x2048, 32FC1, DFT_SCALE, false)                      41.491 38.341    1.08
dft::Size_MatType_FlagsType_NzeroRows::(2048x2048, 32FC1, DFT_SCALE, true)                       34.587 31.208    1.11
dft::Size_MatType_FlagsType_NzeroRows::(2048x2048, 64FC1, 0, false)                              65.155 63.173    1.03
dft::Size_MatType_FlagsType_NzeroRows::(2048x2048, 64FC1, 0, true)                               56.091 54.752    1.02
dft::Size_MatType_FlagsType_NzeroRows::(2048x2048, 64FC1, DFT_COMPLEX_OUTPUT, false)             71.549 70.626    1.01
dft::Size_MatType_FlagsType_NzeroRows::(2048x2048, 64FC1, DFT_COMPLEX_OUTPUT, true)              62.319 61.437    1.01
dft::Size_MatType_FlagsType_NzeroRows::(2048x2048, 64FC1, DFT_INVERSE, false)                    61.480 59.540    1.03
dft::Size_MatType_FlagsType_NzeroRows::(2048x2048, 64FC1, DFT_INVERSE, true)                     54.047 52.650    1.03
dft::Size_MatType_FlagsType_NzeroRows::(2048x2048, 64FC1, DFT_INVERSE|DFT_COMPLEX_OUTPUT, false) 61.752 61.366    1.01
dft::Size_MatType_FlagsType_NzeroRows::(2048x2048, 64FC1, DFT_INVERSE|DFT_COMPLEX_OUTPUT, true)  54.400 53.665    1.01
dft::Size_MatType_FlagsType_NzeroRows::(2048x2048, 64FC1, DFT_ROWS, false)                       20.219 19.704    1.03
dft::Size_MatType_FlagsType_NzeroRows::(2048x2048, 64FC1, DFT_ROWS, true)                        11.145 10.868    1.03
dft::Size_MatType_FlagsType_NzeroRows::(2048x2048, 64FC1, DFT_SCALE, false)                      66.220 64.525    1.03
dft::Size_MatType_FlagsType_NzeroRows::(2048x2048, 64FC1, DFT_SCALE, true)                       57.389 56.114    1.02
dft::Size_MatType_FlagsType_NzeroRows::(2048x2048, 32FC2, 0, false)                              86.761 88.128    0.98
dft::Size_MatType_FlagsType_NzeroRows::(2048x2048, 32FC2, 0, true)                               75.528 76.725    0.98
dft::Size_MatType_FlagsType_NzeroRows::(2048x2048, 32FC2, DFT_COMPLEX_OUTPUT, false)             86.750 88.223    0.98
dft::Size_MatType_FlagsType_NzeroRows::(2048x2048, 32FC2, DFT_COMPLEX_OUTPUT, true)              75.830 76.809    0.99
dft::Size_MatType_FlagsType_NzeroRows::(2048x2048, 32FC2, DFT_INVERSE, false)                    91.728 92.161    1.00
dft::Size_MatType_FlagsType_NzeroRows::(2048x2048, 32FC2, DFT_INVERSE, true)                     78.797 79.876    0.99
dft::Size_MatType_FlagsType_NzeroRows::(2048x2048, 32FC2, DFT_INVERSE|DFT_COMPLEX_OUTPUT, false) 92.163 92.177    1.00
dft::Size_MatType_FlagsType_NzeroRows::(2048x2048, 32FC2, DFT_INVERSE|DFT_COMPLEX_OUTPUT, true)  78.957 79.863    0.99
dft::Size_MatType_FlagsType_NzeroRows::(2048x2048, 32FC2, DFT_ROWS, false)                       24.781 25.576    0.97
dft::Size_MatType_FlagsType_NzeroRows::(2048x2048, 32FC2, DFT_ROWS, true)                        13.226 13.695    0.97
dft::Size_MatType_FlagsType_NzeroRows::(2048x2048, 32FC2, DFT_SCALE, false)                      87.990 89.324    0.99
dft::Size_MatType_FlagsType_NzeroRows::(2048x2048, 32FC2, DFT_SCALE, true)                       76.732 77.869    0.99
```
 2020-08-21 14:06:09 +02:00
Anna Petrovicheva
885fb703cf Added a note about OpenCV logo 2020-08-21 11:18:40 +03:00
Alexander Alekhin
cd00d8f3f0 core(trace): lazy quering for OPENCV_TRACE_LOCATION 
- fixes proper initialization of non-trivial variable
 2020-08-20 21:48:05 +00:00
Alexander Alekhin
b3755e617c ocl: silence warning in case of async cleanup 
- OpenCL kernel cleanup processing is asynchronous and can be called even after forced clFinish()
- buffers are released later in asynchronous mode
- silence these false positive cases for asynchronous cleanup
 2020-08-20 19:33:37 +00:00
Alexander Alekhin
fc0f9da7a7 Merge pull request #18084 from pemmanuelviel:pev--add-DNA-distances 2020-08-20 13:26:02 +00:00
Alexander Alekhin
277961fa25 Merge pull request #18085 from pemmanuelviel:pev--add-DbgAssert-checks 2020-08-20 13:25:02 +00:00
Alexander Alekhin
14a9103fc0 Merge pull request #18129 from pemmanuelviel:pev--update-stereo-sample 2020-08-20 13:21:58 +00:00
Pierre-Emmanuel Viel
6d1f7c2b1b Update the stereo sample: 
* add the HH4 mode
* option to display disparity with a color map
* display current settings in the title bar
* don't close app when wanting to take screenshots
 2020-08-20 12:20:25 +02:00
Alexander Alekhin
2c1f3487a4 Merge pull request #18037 from danielenricocahall:improve-brisk-init-perf 2020-08-18 20:06:17 +00:00
Alexander Alekhin
acc6189da0 Merge pull request #18022 from SoheibKadi:Update_CornerSubPix_Documentation 2020-08-18 13:19:18 +00:00
danielenricocahall
ac177b849c Improve initialization performance of Brisk 
reformatting

Improve initialization performance of Brisk

fix formatting

Improve initialization performance of Brisk

formatting

Improve initialization performance of Brisk

make a lookup table for ring

use cosine/sine lookup table for theta in brisk and utilize trig identity

fix ring lookup table

use cosine/sine lookup table for theta in brisk and utilize trig identity

formatting

use cosine/sine lookup table for theta in brisk and utilize trig identity

move scale radius product to ring loop to ensure it's not recomputed for each rot

revert change

move scale radius product to ring loop to ensure it's not recomputed for each rot

remove rings lookup table

move scale radius product to ring loop to ensure it's not recomputed for each rot

fix formatting of for loop

move scale radius product to ring loop to ensure it's not recomputed for each rot

use sine/cosine approximations for brisk lookup table.

add documentation for sine/cosine lookup tables

Improve initialization performance of BRISK
 2020-08-18 07:11:21 -04:00
Alexander Alekhin
29aeebf5bc Merge pull request #18119 from tomoaki0705:fixFfmpegBuildFailure 2020-08-17 19:25:55 +00:00
Tomoaki Teshima
cc769ff19d fix build error on odroid-n2-plus 2020-08-17 21:24:54 +09:00