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4476 Commits

Author SHA1 Message Date
Alexander Alekhin
c5bf15e009 build: fix cv2.cpp compilation 2021-01-30 11:32:27 +00:00
Alexander Alekhin
857f339914 Merge pull request #19385 from alalek:ocl_isOpenCLActivated_update 2021-01-25 13:54:00 +00:00
Alexander Alekhin
62b60b11bb Merge pull request #19344 from VadimLevin:dev/vlevin/generic-sequence-conversion 2021-01-25 08:22:57 +00:00
Vadim Levin
1d3207d7c7 feat: common fixed size sequence conversion for Python bindings 2021-01-25 08:08:38 +03:00
Alexander Alekhin
37e656082b core(ocl): update isOpenCLActivated() 
- reuse g_isOpenCLAvailable variable instead
 2021-01-24 01:25:17 +00:00
Alexander Alekhin
413febf657 Merge pull request #19334 from alalek:fix_19134 2021-01-22 20:05:58 +00:00
Alexander Alekhin
6ce9bb6f7a Merge pull request #19312 from VadimLevin:dev/vlevin/clear-msg-for-failed-overload-resolution 2021-01-18 20:14:10 +00:00
Vadim Levin
a0bdb78a99 feat: add overload resolution exception for Python bindings 2021-01-18 16:29:17 +03:00
Alexander Alekhin
212815a10d core(ocl): fix lifetime handling of Image kernel args 2021-01-18 06:24:36 +00:00
Vitaly Tuzov
8f653ba8de Inlined WASM fallback intrinsics to avoid using of V_TypeTraits 2021-01-11 18:12:21 +03:00
Alexander Alekhin
68fb8dd873 Merge tag '3.4.13' 2020-12-21 14:55:54 +00:00
Alexander Alekhin
8869dc7762 release: OpenCV 3.4.13 2020-12-20 22:15:49 +00:00
Alexander Alekhin
dd276dbb59 Merge pull request #19176 from alalek:issue_19131 2020-12-20 16:40:28 +00:00
Alexander Alekhin
663bd73518 Merge pull request #19164 from fpetrogalli:tranform_16u 2020-12-20 16:38:59 +00:00
Francesco Petrogalli
c526705f4f [cv::transform] Enable CV_SIMD for the 16U case on AArch64. 2020-12-20 15:58:21 +00:00
Alexander Alekhin
3359bdc464 docs(core): fix process_video_frame() code snippet 2020-12-20 02:27:46 +00:00
Vincent Rabaud
4c75b1c102 Fix comment typos. 2020-12-19 08:22:37 +01:00
Alexander Alekhin
b2ea15da35 Merge pull request #19137 from VadimLevin:dev/vlevin/safe-string-conversion 2020-12-18 11:20:50 +00:00
Vincent Rabaud
8391a23600 Optimize calls to std::string::find() and friends for a single char. 
The character literal overload is more efficient. More info at:

http://clang.llvm.org/extra/clang-tidy/checks/performance-faster-string-find.html
 2020-12-17 09:39:23 +01:00
Alexander Alekhin
d159417474 Merge pull request #19101 from alalek:issue_5209 2020-12-16 22:13:18 +00:00
Vadim Levin
7b0d7d0c9a fix: conversion to string in python bindings 
If provided `PyObject` can't be converted to string `TypeError` is
 reported instead of `SytemError` without any message.
 2020-12-16 15:11:58 +03:00
Alexander Alekhin
7631056b8a Merge pull request #19114 from alalek:issue_18937 2020-12-15 20:47:05 +00:00
Alexander Alekhin
c240355cc6 dnn(ocl): avoid mess FP16/FP32 in convolution layer 2020-12-15 08:51:24 +00:00
Alexander Alekhin
4b3d2c8834 dnn(ocl): fix gemm kernels with beta=0 
- dst is not initialized, may include NaN values
- 0*NaN produces NaN
 2020-12-15 00:58:43 +00:00
Alexander Alekhin
392991fa0b core(opencl): add version check before clCreateFromGLTexture() call 2020-12-13 20:57:26 +00:00
Alexander Alekhin
d2bc0e5fe0 js(wasm): use fallback on missing intrinsics in Emscripten 2.0.0+ 2020-12-09 04:19:53 +00:00
Alexander Alekhin
26e8048a0a core: update handling of allocator stats type 
- don't use OPENCV_ALLOCATOR_STATS_COUNTER_TYPE definition in non C++11 builds
- don't use with MinGW
 2020-12-05 20:54:47 +00:00
Alexander Alekhin
e309ad8465 Merge pull request #18994 from alalek:umat_drop_unavailable_methods 2020-12-02 22:54:47 +00:00
Alexander Alekhin
e958600f32 Merge pull request #18986 from alalek:fix_ipp_17453_2 2020-12-02 19:09:24 +00:00
Alexander Alekhin
484251c52b Merge pull request #18831 from rjiejie:master-opt@pipeline 2020-12-02 19:07:38 +00:00
Alexander Alekhin
6f8120cb3a core(UMat): drop unavailable methods 2020-12-02 15:02:43 +00:00
Alexander Alekhin
d35e2f5339 core(ipp): workaround getIppTopFeatures() value mismatch 2020-12-02 11:33:55 +00:00
Alexander Alekhin
91ce6ef190 core(ipp): disable SSE4.2 code path in countNonZero() 2020-12-01 14:01:42 +00:00
Alexander Alekhin
8c5b3c4150 Merge pull request #17077 from i386x:check-negative-values 2020-11-26 15:07:58 +00:00
Or Avital
5a3a915a9b Remove unnecessary condition (will never reach) 2020-11-22 14:19:20 +02:00
Jiri Kucera
ce31c9c448 core(matrix): Negative values checks 
Add checks that prevents indexing an array by negative values.
 2020-11-20 22:51:06 +01:00
Jojo R
12b8d542b7 norm.cpp(normL2Sqr_): improve performance of pipeline 
The most of target machine use one type cpu unit resource
to execute some one type of instruction, e.g.
all vx_load API use load/store cpu unit,
and v_muladd API use mul/mula cpu unit, we interleave
vx_load and v_muladd to improve performance on most targets like
RISCV or ARM.
 2020-11-19 09:49:49 +08:00
Alexander Alekhin
328883b6ea Merge pull request #18675 from sturkmen72:update-documentation 2020-11-18 16:50:35 +00:00
Suleyman TURKMEN
cc7f17f011 update documentation 2020-11-18 17:07:04 +03:00
Alexander Alekhin
9485113923 pre: OpenCV 3.4.13 (version++) 2020-11-17 21:50:30 +00:00
Alexander Alekhin
2b558a3787 core: fix F16C compilation check 2020-11-17 12:22:49 +00:00
Alexander Alekhin
716450ceb5 Merge pull request #18158 from legrosbuffle:3.4-vectorize-dft-radix 2020-10-30 22:05:50 +00:00
Alexander Alekhin
aac7c5465b core: move inline code from mat.inl.hpp 2020-10-21 23:06:09 +00:00
Kun Liang
c82417697a
Merge pull request #18068 from lionkunonly:gsoc_2020_simd 
[GSoC] OpenCV.js: WASM SIMD optimization 2.0

* gsoc_2020_simd Add perf test for filter2d

* add perf test for kernel scharr and kernel gaussianBlur

* add perf test for blur, medianBlur, erode, dilate

* fix the errors for the opencv PR robot

fix the trailing whitespace.

* add perf tests for kernel remap, warpAffine, warpPersepective, pyrDown

* fix a bug in  modules/js/perf/perf_imgproc/perf_remap.js

* add function smoothBorder in helpfun.js and remove replicated function in perf test of warpAffine and warpPrespective

* fix the trailing white space issues

* add OpenCV.js loader

* Implement the Loader with help of WebAssembly Feature Detection, remove trailing whitespaces

* modify the explantion for loader in js_setup.markdown and fix bug in loader.js
 2020-10-18 20:30:36 +00:00
Alexander Alekhin
b5717f82a0 core: fix __clang_major__ typo regression 2020-10-16 15:35:51 +00:00
Alexander Alekhin
7ed82aea38 Merge tag '3.4.12' 2020-10-10 20:18:09 +00:00
Alexander Alekhin
dc15187f1b release: OpenCV 3.4.12 2020-10-10 20:14:29 +00:00
Alexander Alekhin
1ef4b7ae5a Merge pull request #18515 from alalek:test_18473 2020-10-06 19:39:28 +00:00
Alexander Alekhin
b314cc4c23 Merge pull request #18506 from alalek:issue_18472 2020-10-06 19:37:40 +00:00
Alexander Alekhin
f30aafc3cc core(test): regression test for 18473 2020-10-05 17:14:22 +00:00
Alexander Alekhin
aece3e732e Merge pull request #18507 from sizeofvoid:openbsd 2020-10-05 17:02:38 +00:00
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