Commit Graph

2889 Commits

Author SHA1 Message Date
Alexander Alekhin
3dd55d284d core(libva): use dynamic loader 2021-02-19 10:32:59 +00:00
Alexander Alekhin
6d3502833f core: include version.hpp in cvdef.h, fix precomp.hpp usage 2021-02-16 11:10:45 +00:00
Alexander Alekhin
cc73c36e32 core(parallel): plugins support 2021-02-15 17:07:36 +00:00
Zhuo Zhang
743099f9f9
Merge pull request #19521 from zchrissirhcz:3.4-fix-core-module-android-arm64-build
* fix core module android arm64 build

* fix core module android build when neon is off

When building for Android ARM platform, cmake with
`-D CV_DISABLE_OPTIMIZATION=ON`, the expected behavior is
not using ARM NEON, using naive computation instead.

This commit fix the un-expected compile error for neon intrinsincs.
2021-02-14 21:37:11 +03:00
Alexander Alekhin
e5d78960c6 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2021-02-12 21:34:49 +00:00
Vincent Rabaud
847b16fb76 Disable thread sanitization when CV_USE_GLOBAL_WORKERS_COND_VAR is not set.
This fixes #19463
2021-02-09 14:12:39 +01:00
Namgoo Lee
7ea21c4b3c
Merge pull request #19259 from nglee:dev_gpumatnd1
Minimal implementation of GpuMatND

* GpuMatND - minimal implementation

* GpuMatND - createGpuMatHeader

* GpuMatND - GpuData, offset, getDevicePtr(), license

* reviews

* reviews
2021-02-05 20:30:37 +00:00
Alexander Alekhin
6ca46afa63 Merge pull request #19286 from diablodale:add-cuda-stream-constructor 2021-02-03 09:55:02 +00:00
Maksim Shabunin
694fe3e7d2 core, gapi: supported build with oneTBB 2021 2021-01-29 02:38:05 +03:00
Dale Phurrough
34c3f0f495
add cuda::Stream constructor with cuda flags 2021-01-28 16:14:01 +01:00
Alexander Alekhin
37c12db366 Merge pull request #19365 from alalek:parallel_api 2021-01-27 18:12:15 +00:00
Alexander Alekhin
b73bf03bfc core: parallel backends API
- allow to replace parallel_for() backend
2021-01-27 14:15:33 +00:00
Alexander Alekhin
e85b41f9be Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2021-01-25 22:42:13 +00:00
Alexander Alekhin
857f339914 Merge pull request #19385 from alalek:ocl_isOpenCLActivated_update 2021-01-25 13:54:00 +00:00
Alexander Alekhin
37e656082b core(ocl): update isOpenCLActivated()
- reuse g_isOpenCLAvailable variable instead
2021-01-24 01:25:17 +00:00
Alexander Alekhin
cd59516433 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2021-01-22 21:29:21 +00:00
Alexander Alekhin
212815a10d core(ocl): fix lifetime handling of Image kernel args 2021-01-18 06:24:36 +00:00
Alexander Alekhin
cd68cc1f46 Merge pull request #19195 from diablodale:win32AlignAlloc 2020-12-23 17:33:58 +00:00
Dale Phurrough
109255a730
add windows native aligned malloc + unit test case
* implements https://github.com/opencv/opencv/issues/19147
* CAUTION: this PR will only functions safely in the
  4+ branches that already include PR 19029
* CAUTION: this PR requires thread-safe startup of the alloc.cpp
  translation unit as implemented in PR 19029
2020-12-23 14:59:28 +01:00
Alexander Alekhin
15265918a7 Merge pull request #19133 from diablodale:fix19132-opencvactivated 2020-12-23 12:08:38 +00:00
Alexander Alekhin
6659d55a9d Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-12-20 18:40:22 +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
624d532000 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-12-17 21:05:34 +00:00
Alexander Alekhin
d159417474 Merge pull request #19101 from alalek:issue_5209 2020-12-16 22:13:18 +00:00
Dale Phurrough
bb59b81d82
remove g_isOpenCVActivated assign and clarify 2020-12-16 00:27:32 +01:00
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
Dale Phurrough
ad94d8cc4f
Merge pull request #19029 from diablodale:fix19004-memthreadstart
add thread-safe startup of fastMalloc and fastFree

* add perf test core memory allocation

* fix threading in isAlignedAllocationEnabled()

* tweaks requested by maintainer
2020-12-08 10:05:14 +00:00
Alexander Alekhin
6fdb7aee84 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-12-04 18:26:58 +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
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
2155296a13 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-11-27 14:08:06 +00:00
Alexander Alekhin
8c5b3c4150 Merge pull request #17077 from i386x:check-negative-values 2020-11-26 15:07:58 +00:00
Dale Phurrough
c08e38acd0
fix missing addref() in ocl::Context::create(str)
- fix https://github.com/opencv/opencv/issues/18906
- unable to add related test cases as there is
  no public access to Context:Impl refcounts
2020-11-25 01:53:41 +01:00
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
ce8027c6fb Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-11-17 21:56:26 +00:00
Alexander Alekhin
2b558a3787 core: fix F16C compilation check 2020-11-17 12:22:49 +00:00
Maksim Shabunin
1b0dca9c2c Fix issues found by static analysis 2020-11-11 13:59:01 +03:00
Alexander Alekhin
7459613623 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-11-05 18:59:10 +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
1fe276d041 core: move inline code from mat.inl.hpp (OpenCV 4.x additions)
base commit: aac7c5465b
2020-10-26 22:58:30 +00:00
Alexander Alekhin
f345ed564a Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-10-26 20:07:47 +00:00
Alexander Alekhin
aac7c5465b core: move inline code from mat.inl.hpp 2020-10-21 23:06:09 +00:00
masa-iwm
5ac0712cf1
Merge pull request #18593 from masa-iwm:master
Add support thread-local directx (OpenCL interop) initialization

* support thread-local directx (OpenCL interop) initialization

* reflect reviews

* Remove verbose function prototype declarations

* Countermeasures for VC warnings. (declaration of 'platform' hides class member)

* core(directx): remove internal stuff from public headers
2020-10-18 21:22:06 +00:00
Alexander Alekhin
39d5e14c1f Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-10-07 09:09:37 +00:00
Alexander Alekhin
6f5d56d994 core(logger): avoid destruction of GlobalLoggingInitStruct object
- keep logger available until the program termination
2020-10-06 12:50:32 +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
01e23a2222 Merge pull request #18439 from komakai:opencl 2020-09-29 15:07:28 +00:00
Giles Payne
b29f73d5e0 Android OpenCL support 2020-09-29 21:55:31 +09:00
Alexander Alekhin
c945ea125a ocl: fix PlatformInfo usage 2020-09-25 19:22:12 +00:00
Odianosen Ejale
862fc06b6f Fixed and updated OpenCL-VA interoperability 2020-09-25 16:11:50 +03:00
Alexander Alekhin
f52a2cf5e1 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-09-19 17:03:08 +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
8711653530 ocl: fixes for OpenCL multiple contexts support 2020-09-03 20:34:49 +00:00
Alexander Alekhin
2129c72bc0 core(OpenCL): thread-local OpenCL execution context 2020-09-02 05:04:20 +00:00
Alexander Alekhin
0428dce27d Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-09-01 20:59:00 +00:00
Alexander Alekhin
efcf307b4c ocl: cleanup dead code in case of disabled OpenCL 2020-08-31 11:30:42 +00:00
Alexander Alekhin
f6c2bf21c8 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-08-21 19:57:34 +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
Alexander Alekhin
b45273eccb Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-08-14 19:45:45 +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
422f802ec9 Merge pull request #17922 from joy2myself:build_riscv_with_c++_intrin 2020-08-04 09:45:32 +00:00
Zhangyin
ff4c3873f2 Added cmake toolchain for RISC-V with clang.
- Added cross compile cmake file for target riscv64-clang
- Extended cmake for RISC-V and added instruction checks
- Created intrin_rvv.hpp with C++ version universal intrinsics
2020-08-03 20:18:56 +08:00
Namgoo Lee
2241bfb0df Use "src" not "*this" for source GpuMat 2020-07-30 01:03:34 +09:00
Alexander Alekhin
ffe0d50447 core(persistence): fix "use after free" bug
- do not store user-controlled "FileStorage" pointer
- store FileStorage::Impl pointer instead
2020-07-17 21:39:06 +00:00
Vadim Pisarevsky
4564b8a224
Merge pull request #17841 from vpisarev:fixed_fs_dtor
* fixed issue #17412

* Update test_io.cpp
2020-07-17 02:28:50 +00:00
Alexander Alekhin
e5e767abc1 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-07-13 19:54:49 +00:00
Alexander Alekhin
e54040d540 core: use lazy on-demand initialization for param_traceEnable 2020-07-12 11:53:46 +00:00
Alexander Alekhin
99bc35a883 core(logger): complete initialization of logger structures
- for using of logging functions from global destructors
2020-06-22 09:27:26 +00:00
Alexander Alekhin
e3d502310f Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-06-19 07:33:50 +00:00
Alexander Alekhin
442999dcdb core: fix handling of ND-arrays in dumpInputArray() helpers 2020-06-12 10:23:32 +00:00
cyy
171cba4947 use C++11 static variables as memory barrier 2020-06-09 15:49:31 +08:00
Alexander Alekhin
7722a2b8a8 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-06-04 17:58:34 +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
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
c3e8a82c9c Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-05-28 23:53:54 +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
Alexander Alekhin
06bff34a6b Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-05-12 19:24:28 +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
1d30a524fa Merge pull request #17145 from asmorkalov:as/riscv 2020-04-28 10:41:41 +00:00
Alexander Smorkalov
7228d2a824 Added initial version of cmake toolchain for RISC-V architecture. 2020-04-27 12:42:38 +03:00
Alexander Alekhin
bfcc136dc7 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-04-21 21:32:51 +00:00
Alexander Alekhin
c8f1948d58 core: drop EXPR handing code in InputArray 2020-04-14 18:02:19 +00:00
Alexander Alekhin
ca9756f6a1 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-04-13 20:00:12 +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
Alexander Alekhin
cf2a3c8e74 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-04-02 21:52:32 +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
95a07ca11c Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-03-27 16:49:59 +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
b4b4d21212 eliminate build warnings 2020-03-26 19:18:09 +00:00
Alexander Alekhin
c920b45fb8 core(persistence): fix resource leaks - force closing files
backporting commit 673eb2b006
2020-03-25 10:49:16 +00:00
Alexander Alekhin
673eb2b006 core(persistence): fix resource leaks - force closing files 2020-03-24 11:38:09 +00:00
Alexander Alekhin
ca23c0e630 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-03-17 13:23:33 +03:00
Alexander Alekhin
77d1c20fb7 core(buffer_area): handle 'OPENCV_ENABLE_MEMORY_SANITIZER=ON' case 2020-03-16 19:34:08 +03:00
Maksim Shabunin
7e7bb3027c Fixs several problems found by static analysis 2020-03-16 19:03:24 +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
d00e58cdb0 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-03-10 22:49:51 +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
198b5096aa
Merge pull request #16754 from alalek:issue_16752
* core(test): FP16 norm test

* core: norm()-FP16 disable OpenCL

* core(norm): fix 16f32f local buffer size
2020-03-07 19:06:47 +00:00
Alexander Alekhin
619180dffd Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-03-06 20:41:30 +00:00
Alexander Alekhin
34530da66e core: fix coverity issues 2020-03-06 18:12:45 +00:00
Alexander Alekhin
a694e5074f Merge pull request #16723 from jansol:master 2020-03-05 12:25:20 +00:00
Alexander Alekhin
90a4d67e8d Merge pull request #16513 from pwuertz:cuda_py_interop 2020-03-05 11:56:07 +00:00
Alexander Alekhin
d4a17da7b2 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-03-04 20:49:09 +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
Alexander Alekhin
45d073f889 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-02-26 20:09:03 +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
Peter Würtz
53c0189ed7 Allow access to CUDA memory and stream pointers for interoperability. 2020-02-26 11:11:03 +01:00
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
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
Alexander Alekhin
96b26dc8f4 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-02-20 19:47:27 +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
Vadim Pisarevsky
3efa78311a
Merge pull request #16488 from vpisarev:filestorage_longlines
trying to fix handling file storages with extremely long lines

* trying to fix handling of file storages with extremely long lines: https://github.com/opencv/opencv/issues/11061

* * fixed errorneous pointer access in JSON parser.
* it's now crash-test time! temporarily set the initial parser buffer size to just 40 bytes. let's run all the test and check if the buffer is always correctly resized and handled

* fixed pointer use in JSON parser; added the proper test to catch this case

* fixed the test to make it more challenging. generate test json with
*
**
***
etc. shape
2020-02-11 18:46:15 +03:00
Alexander Alekhin
aa2777ed61 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-02-10 19:40:29 +03:00
Alexander Smorkalov
bd6ab6d38e Implemented BASE64 support in cv::FileStorage parser. 2020-02-10 11:38:19 +03:00
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
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
Alexander Alekhin
560f85f8e5 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-01-28 14:26:57 +03:00
Alexander Alekhin
e83438c23d core(build): fix i386 compilation 2020-01-26 00:00:25 +00:00
Chip Kerchner
4d2da2debe Merge pull request #16375 from ChipKerchner:vectorizeMultTranspose
* Reduce LLC loads, stores and multiplies on MulTransposed - 8% faster on VSX

* Add is_same method so c++11 is not required

* Remove trailing whitespaces.

* Change is_same to DataType depth check
2020-01-24 18:00:49 +03:00
Alexander Alekhin
3d14dd4e39 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-01-22 16:58:30 +03:00
Chip Kerchner
301626ba26 Merge pull request #15488 from ChipKerchner:vectorizeMinMax2
Vectorize minMaxIdx functions

* Updated documentation and intrinsic tests for v_reduce

* Add other files back in from the forced push

* Prevent an constant overflow with v_reduce for int8 type

* Another alternative to fix constant overflow warning.

* Fix another compiler warning.

* Update comments and change comparison form to be consistent with other vectorized loops.

* Change return type of v_reduce_min & max for v_uint8 and v_uint16 to be same as lane type.

* Cast v_reduce functions to int to avoid overflow. Reduce number of parameters in MINMAXIDX_REDUCE macro.

* Restore cast type for v_reduce_min & max to LaneType
2020-01-17 19:37:35 +03:00
Alexander Alekhin
fb61f88b9c Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-01-12 09:35:39 +00:00
Alexander Alekhin
e180cc050b
Merge pull request #16236 from alalek:fix_core_simd_emulator
* core: fix intrin_cpp, allow to build modules with SIMD emulator

* core(arithm): fix v_zero initialization

* core(simd): 'strict' types for binary/bitwise operations

* features2d: avoid aligned load issue in GCC 5.4 with emulated SIMD

* core(simd): alignment checks in SIMD emulator
2020-01-10 21:31:02 +03:00
Nuzhny007
7d484d21f7 Fixed compilation on windows with openvx 2020-01-06 06:32:56 +03:00