mirror/opencv
1
0
Fork 0
mirror of https://github.com/opencv/opencv.git synced 2024-11-27 12:40:05 +08:00
Code Issues Actions Packages Projects Releases Wiki Activity
28,036 Commits 6 Branches 126 Tags 3 GiB
3f14341629
Commit Graph

4425 Commits

Author SHA1 Message Date
Mario Emmenlauer
102d8f67cd matrix.cpp::setSize(): fixed out-of-bounds access on cv::Mat steps 2020-10-05 10:19:53 +02:00
Rafael Sadowski
3acf8cfd63 Add an OpenBSD check 2020-10-05 08:23:23 +02:00
Alexander Alekhin
d34717d8c9 core: allow to disable including of unsupported/Eigen/CXX11/Tensor 
- define OPENCV_DISABLE_EIGEN_TENSOR_SUPPORT
 2020-10-04 15:14:46 +00:00
Alexander Alekhin
233030e417 core: force check for string literals are used in the message 2020-09-27 06:37:44 +00:00
Alexander Alekhin
5e90802b1a Merge pull request #18363 from alalek:issue_18349 2020-09-19 16:53:34 +00:00
Alexander Alekhin
261ad78122 core: emit more clear messages in OutputArray::create() 2020-09-18 15:25:29 +00:00
Alexander Alekhin
4fa82809df ocl: avoid rescheduling of async kernels 2020-09-18 14:53:50 +00:00
Alexander Alekhin
50ff40d684 pre: OpenCV 3.4.12 (version++) 2020-09-06 22:26:32 +00:00
Alexander Alekhin
efcf307b4c ocl: cleanup dead code in case of disabled OpenCL 2020-08-31 11:30:42 +00:00
Alexander Alekhin
f53ff0d01c Merge pull request #18151 from alalek:core_trace_fix_location 2020-08-21 18:54:40 +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
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
nhlsm
68f527267b
Merge pull request #18080 from nhlsm:improve-mat-operator-assign-scalar 
* improve Mat::operator=(Scalar)

* touch

* remove trailing whitespace

* TEST: check if old code pass test or not

* remove CV_Error

* remove warning

* fix: is -> Scalar

* 1) Mat *mat -> Mat &mat 2) return bool, add output param

* add comment
 2020-08-14 17:21:23 +00:00
Alexander Alekhin
00890aecdf core(ocl): fix ocl::Image2d::isFormatSupported() 
in case of OPENCV_OPENCL_DEVICE=disabled
 2020-08-13 18:33:18 +00:00
Alexander Alekhin
3f65c12d0c Merge pull request #17982 from nglee:dev_cudaGpuMatConvertToInplaceFix 2020-08-09 20:21:17 +00:00
Gabriel
96ce65f021 Document PatchNANs input type 2020-08-03 22:57:18 -03:00
Namgoo Lee
2241bfb0df Use "src" not "*this" for source GpuMat 2020-07-30 01:03:34 +09:00
Alexander Alekhin
284d26da05 Merge tag '3.4.11' 2020-07-17 02:06:19 +00:00
Alexander Alekhin
e8d4259f9a release: OpenCV 3.4.11 2020-07-17 00:34:46 +00:00
Alexander Alekhin
e54040d540 core: use lazy on-demand initialization for param_traceEnable 2020-07-12 11:53:46 +00:00
Alexander Alekhin
e0f9eac521 cmake: backport CUDA scripts 2020-07-08 07:33:54 +00:00
Alexander Alekhin
eb6678ebef
Merge pull request #17699 from alalek:build_core_cuda 
* core(cuda): fix build

- MSVS 19.25.28612.0
- CUDA release 11.0, V11.0.167

* cmake(cuda): backport workaround for CUDA 11

* cmake(cuda): call CUDA_BUILD_CLEAN_TARGET() on finalize

* cmake(cuda): use CMAKE_SUPPRESS_REGENERATION with MSVS
 2020-07-06 22:58:17 +00:00
dev-tronifier
9b727fa1f3 Increased portability of CV_Func 2020-06-26 19:45:58 +00:00
Yuriy Obukh
456e88a8a4 fix VS Windows build with eigen. https://github.com/opencv/opencv/issues/17548 2020-06-18 14:31:11 +03:00
Alexander Alekhin
9755ab160d Merge pull request #17556 from nglee:dev_optFlowTVL1Async 2020-06-16 20:06:56 +00:00
Namgoo Lee
2043e06102 cuda optflow tvl1 : async safety 
also modify cuda canny to use createTextureObjectPitch2D, etc.
 2020-06-17 01:04:22 +09:00
Alexander Alekhin
442999dcdb core: fix handling of ND-arrays in dumpInputArray() helpers 2020-06-12 10:23:32 +00:00
Rasmus
781fbde449
Merge pull request #17368 from themightyoarfish:cv2eigen-doc 
* Add documentation about usage of cv2eigen functions in eigen.hpp

* Fixed Doxygen syntax.

Co-authored-by: Alexander Smorkalov <smorkalov.a.m@gmail.com>
 2020-06-10 07:53:18 +00:00
Alexander Alekhin
a43e3bebe6 pre: OpenCV 3.4.11 (version++) 2020-06-08 18:46:27 +00:00
Maksim Shabunin
59608907b8 Added countNonZero test for big arrays and disable IPP for some cases 2020-06-03 18:58:41 +03:00
Alexander Alekhin
f68654a204 Merge pull request #17438 from alalek:fix_eigen_builds 2020-06-01 18:02:07 +00:00
Vadim Pisarevsky
5489735258
Merge pull request #17436 from vpisarev:fix_python_io 
* fixed #17044
1. fixed Python part of the tutorial about using OpenCV XML-YAML-JSON I/O functionality from C++ and Python.
2. added startWriteStruct() and endWriteStruct() methods to FileStorage
3. modifed FileStorage::write() methods to make them work well inside sequences, not only mappings.

* try to fix the doc builder

* added Python regression test for FileStorage I/O API ([TODO] iterating through long sequences can be very slow)

* fixed yaml testing
 2020-06-01 11:33:09 +00:00
Alexander Alekhin
74020a084b core: fix builds with eigen helper header 2020-05-31 15:41:42 +00:00
Egor Pugin
1bec7ca540
Merge pull request #17352 from egorpugin:patch-2 
* Fix integer overflow in parseOption().

Previous code does not work for values like 100000MB.

* Fix warning during 32-bit build on inactive code path.

* fix build without C++11
 2020-05-25 20:25:18 +00:00
Josh Bradley
9fef09fe89
Merge pull request #17320 from jgbradley1:add-eigen-tensor-conversions 
* add eigen tensor conversion functions

* add eigen tensor conversion tests

* add support for column major order

* update eigen tensor tests

* fix coding style and add conditional compilation

* fix conditional compilation checks

* remove whitespace

* rearrange functions for easier reading

* reformat function documentation and add tensormap unit test

* cleanup documentation of unit test

* remove condition duplication

* check Eigen major version, not minor version

* restrict to Eigen v3.3.0+

* add documentation note and add type checking to cv2eigen_tensormap()
 2020-05-23 18:25:01 +00:00
Alexander Alekhin
a3b109eca0 imgproc: enable GaussianBlur IPP parallel processing 2020-05-17 11:40:34 +00:00
Alexander Alekhin
74e4cfd1da core(MatExpr): fix warning in case of e.s == (0, 0, 0, 0) 2020-05-01 07:29:57 +00:00
Alexander Alekhin
3c14a8c507 Merge pull request #17149 from alalek:core_simd_suppress_coverity 2020-04-24 17:46:54 +00:00
Alexander Alekhin
cd7db168e0 core(SIMD): suppress coverity UNINIT_CTOR on SIMD vectors 2020-04-24 16:36:35 +00:00
Paul Jurczak
a748eba42e Added descriptions of randu and randn 2020-04-20 07:13:37 +00:00
Alexander Alekhin
acf1be547d Merge pull request #17046 from alalek:core_inputarray_matexpr_cleanup 2020-04-18 21:41:59 +00:00
Alexander Alekhin
fbaae7ac37 Merge pull request #17041 from alalek:core_simd_vector_ctors 2020-04-17 21:22:08 +00:00
Alexander Alekhin
dcf7eb972e core(SIMD): align behavior of vector constructors 
- setzero() calls are dropped due low-level API nature
- initialization is mandatory if necessary (not an output of other calls)
 2020-04-17 14:34:34 +00:00
Maksim Shabunin
f84cae833a TickMeter: added FPS and AvgTime, improved docs, reformatted 2020-04-16 21:33:29 +03:00
Alexander Alekhin
c8f1948d58 core: drop EXPR handing code in InputArray 2020-04-14 18:02:19 +00:00
Alexander Alekhin
49a75079f2 Merge pull request #17047 from alalek:fix_permissions 2020-04-13 12:34:08 +00:00
Alexander Alekhin
f0ffc52435 fix files permissions 2020-04-13 04:29:55 +00:00
Alexander Alekhin
9c58a7cb1e Merge pull request #16653 from alalek:core_inputarray_matexpr 2020-04-10 16:57:17 +00:00
Alexander Alekhin
d7abb641ca core(test): add InputArray(MatExpr) fetch test 2020-04-10 11:35:42 +00:00
Alexander Alekhin
936428cb3b core(MatExpr) fetch result before InputArray wrap 
- avoid multiple expression evaluations
- avoid issues with reduced support of InputArray::EXPR
 2020-04-06 15:28:32 +00:00
Adam Fowles
8334932a26
Merge pull request #16992 from afowles:fix-forEach-segfault 
* Fixed divide by zero error in forEach

* Dedicated assertion for !empty
 2020-04-06 14:49:02 +00:00
Alexander Alekhin
0812207db7 Merge tag '3.4.10' 2020-04-03 11:24:31 +00:00
Alexander Alekhin
1cc1e6fa56 release: OpenCV 3.4.10 2020-04-02 19:59:58 +00:00
Alexander Alekhin
54063c40de core(ocl): options to control buffer access flags 
- control using of clEnqueueMapBuffer or clEnqueueReadBuffer[Rect]
- added benchmarks with OpenCL buffer access use cases
 2020-04-02 11:11:06 +00:00
Alexander Alekhin
09134ac881 core: emit warning ONCE on ambiguous MatExpr processing 2020-04-01 18:34:20 +00:00
Alexander Alekhin
353273579b Merge pull request #16918 from alalek:build_warnings_3.4 2020-03-27 16:43:23 +00:00
Alexander Alekhin
e661ad2a67 eliminate build warnings 2020-03-27 11:39:07 +00:00
cyy
bdc29cccb6 fix freebsd build 2020-03-27 18:12:10 +08:00
Alexander Alekhin
c920b45fb8 core(persistence): fix resource leaks - force closing files 
backporting commit 673eb2b006
 2020-03-25 10:49:16 +00:00
Alexander Alekhin
377dd04224 core: fix .begin()/.end() of empty Mat 2020-03-20 14:08:45 +00:00
Alexander Alekhin
77d1c20fb7 core(buffer_area): handle 'OPENCV_ENABLE_MEMORY_SANITIZER=ON' case 2020-03-16 19:34:08 +03:00
RAJKIRAN NATARAJAN
3b2e409fa7
Merge pull request #16779 from saskatchewancatch:issue-16777 
* Fixes issue 16777.

* core: update Concurrency getNumThreads()
 2020-03-16 17:12:29 +03:00
Alexander Alekhin
71ec112093 Merge pull request #16786 from alalek:issue_16398 2020-03-15 19:49:50 +00:00
Sayed Adel
9ea62bfddb core:vsx reimplement v_broadcast_element() 
There's no need to use `vec_perm()` instead of `vec_splat()`,
  since instruction `vperm` is quite heavy compared to `vsplt[b,h,w]`.
 2020-03-14 22:54:22 +02:00
Alexander Alekhin
4e56c1326f core: adjust type of allocator_stats counter, allow to disable 2020-03-11 20:12:29 +03:00
Alexander Alekhin
9f82b74788 Merge pull request #16774 from alalek:core_update_cpus_detection 2020-03-10 22:39:30 +00:00
Alexander Alekhin
612746b4e5 Merge pull request #16744 from alalek:fix_mat_aug_operators_use_after_free 2020-03-10 22:02:47 +00:00
Alexander Alekhin
83e1d79403 core: update CPUs detection 
- cache value, evaluate once
- better support for MINGW
- anything in 'cv' namespace
- test: dump number of active threads
 2020-03-10 21:29:08 +00:00
Alexander Alekhin
b7ecaceda8 pre: OpenCV 3.4.10 (version++) 
- Android Manager version is not increased (stuck on 3.49)
 2020-03-10 14:53:43 +03:00
Alexander Alekhin
34530da66e core: fix coverity issues 2020-03-06 18:12:45 +00:00
Alexander Alekhin
3a2f40ac6f core: don't allow reallocation in add/div/sub/bitwise aug operators 2020-03-06 13:00:40 +00:00
Manoj Gupta
880d2afb67 Fix building with ToT libc++ 
ToT libc++ (LLVM) no longer includes <sstream>
as part of <complex> which breaks building opencv.
Include <sstream> header explcitly to fix this.
 2020-03-05 17:10:43 -08:00
Alexander Alekhin
a694e5074f Merge pull request #16723 from jansol:master 2020-03-05 12:25:20 +00:00
Alexander Alekhin
4f288a1e28
Merge pull request #16704 from alalek:core_log_once_log_if 
* core(logger): add CV_LOG_ONCE_xxx() CV_LOG_IF_xxx() macros

* core(logger): keep tests disabled
 2020-03-04 20:42:41 +00:00
Jan Solanti
ad16c243ca core(ocl): Don't query image formats when none exist 
clGetSupportedImageFormats returns CL_INVALID_VALUE if called with
num_entries 0 and a non-NULL image_formats pointer so let's not do that.
 2020-03-04 14:15:33 +02:00
Alexander Alekhin
4d0f13544d
Merge pull request #16700 from alalek:fix_core_matexpr_size_gemm 
core: fix MatExpr::size() for gemm()

* core(test): MatExpr::size() test for gemm()

* core: fix MatExpr::size() for gemm()
 2020-03-02 17:13:02 +03:00
Peter Würtz
5012fc5d23
Merge pull request #16684 from pwuertz:ignore_clang_mat_inl 
* Ignore clang warnings for deprecated enum+enum operations in mat.inl.hpp

* build: added customization macros, cmake flags for OpenCV build
 2020-02-28 21:21:03 +03:00
Alexander Alekhin
af9ded89d0 core: fix build getNumberOfCPUs for JavaScript 2020-02-26 18:54:23 +03:00
Alexander Alekhin
c13a62ce10 Merge pull request #16638 from mshabunin:use-safe-buffers 2020-02-26 14:54:57 +00:00
Ganesh Kathiresan
09df7810d1
Merge pull request #16457 from ganesh-k13:bugfix/getCPUCount-fix 
* Fixed getCPUCount

Minor new line changes

Android fix | efficient linux checks

Android fix 2

Fixed cpu logic for non linux platforms

Android fix 3

Android fix 4

* No v1 case handle | Refactor long lines

* Refined Cgroups logic | Combine Android and Linux

* Fixed directives

* Added support for --cpus | Fixed minor bug in Andriod | Change file read logic

* Added macro checks for apple errors

* Fixed macro to include android

* Addressed review comments

* Fixed android macro

* Refined return values

* Fixed apple warning

* Addressed review comments

* Fixed whitespace

* Android Fix try 1

* Android Fix try 2

* Android Fix try 3

* Removed unwanted endif

* Android Fix try 4

* Android Fix try 5

* Macro Restructure

* core: updates to CPUs detection (minor)
 2020-02-26 17:48:50 +03:00
Alexander Alekhin
f48c84eaee Merge pull request #16656 from alalek:issue_16655 2020-02-26 12:47:46 +00:00
Maksim Shabunin
bf96d8239d Use BufferArea in more places 2020-02-26 11:45:19 +03:00
Alexander Alekhin
d54d01ca46 core(MatExpr): fix .type() bug 2020-02-23 17:05:05 +00:00
Alexander Alekhin
01048e5603
Merge pull request #16616 from alalek:dnn_fix_input_shape 
* dnn: fix processing of input shapes

- importer: avoid using of .setInput() => .setInputShape()
- setInput: shape limitation check (partial)

* dnn(test): test .setInput() in readNet()
 2020-02-21 22:39:54 +03:00
Alexander Alekhin
966c2191cb
Merge pull request #13928 from catree:add_matx_div_operations 2020-02-21 22:35:03 +03:00
Alexander Alekhin
a0f5eb282c Merge pull request #16635 from mshabunin:fix-avx512-cvt 2020-02-21 13:15:40 +00:00
Vadim Pisarevsky
07b475062f
Merge pull request #16608 from vpisarev:fix_mac_ocl_tests 
* fixed several problems when running tests on Mac:
* OCL_pyrUp
* OCL_flip
* some basic UMat tests
* histogram badarg test (out of range access)

* retained the storepix fix in ocl_flip only for 16U/16S datatype, where the OpenCL compiler on Mac generates incorrect code

* moved deletion of ACCESS_FAST flag to non-SVM branch (where SVM is shared virtual memory (in OpenCL 2.x), not support vector machine)

* force OpenCL to use read/write for GPU<=>CPU memory transfers on machines with discrete video only on Macs. On Windows/Linux the drivers are seemingly smart enough to implement map/unmap properly (and maybe more efficiently than explicit read/write)
 2020-02-21 16:13:41 +03:00
Maksim Shabunin
8b2c499be6 intrin: fixed int64->double conversion for AVX-512 2020-02-21 15:20:00 +03:00
Alexander Smorkalov
c87b99e82b Added test for new MatX division. 2020-02-21 10:08:55 +03:00
atinfinity
f81fdd58da
Merge pull request #16445 from atinfinity:fixed-typo 
* fixed typo

* add compatibility code to handle migration
 2020-02-16 19:16:33 +03:00
Pavel Rojtberg
e13a73d084 core: export getCPUFeaturesLine to bindings 2020-02-10 14:06:43 +01:00
Alexander Alekhin
eb14f9a464 Merge pull request #16463 from alalek:core_strong_ptr_alignment 2020-02-08 19:45:43 +00:00
Maksim Shabunin
55cdeaa6dd BufferArea: initial version, usage in StereoBM 
New class BufferArea is used to hide complexity of buffers allocations and allow instrumentation with valgrind and sanitizers.
 2020-02-07 14:57:36 +03:00
gapry
ac9f8c1f41 Fixed Compilation warnings | Issue #16336 2020-02-01 03:32:42 +08:00
Alexander Alekhin
591f427003 Merge pull request #16459 from nh2:patch-1 2020-01-30 14:25:18 +00:00
Alexander Alekhin
a4bd7506a5 core: CV_STRONG_ALIGNMENT macro 
Should be used to guard unsafe type casts of pointers
 2020-01-29 18:44:17 +03:00
Niklas Hambüchen
70cbc3d883 cvdef.h: Don't use C's limits.h under C++ 
Just like with the other headers in the rest of the file.

See e.g. https://stackoverflow.com/questions/36831465/what-difference-does-it-make-when-i-include-limits-or-limits-h-in-my-c-cod
for the reasons, the most important one being that limits.h does not respect
namespaces, which can make problems for downstream consumers of cvdef.h.
 2020-01-29 16:41:31 +01:00
Sayed Adel
ec033330df core:vsx workaround for the unexpected results of vec_vbpermq in gcc4.9 2020-01-29 15:05:12 +02:00
Sayed Adel
bd531bd828 core:vsx fix inline asm constraints 
generalize constraints to 'wa' for VSX registers
 2020-01-28 15:48:00 +02:00