Commit Graph

19858 Commits

Author SHA1 Message Date
Alexander Alekhin
bed5debca6 dnn: use OpenVINO 2021.1 defines 2020-11-07 17:27:33 +00:00
Roman Kazantsev
bb5b628cce Use explicit opset of Unsqueeze from nGraph
backporting commit eb24575e2c
2020-11-06 22:29:35 +00:00
Alexander Alekhin
39ecd96b09 Merge pull request #18736 from mshabunin:mfx-frame-size-34 2020-11-05 17:00:35 +00:00
Maksim Shabunin
21a8d9569d videoio: added frameSize to MFX capture 2020-11-05 17:40:48 +03:00
Mark Shachkov
039795b405 Change naming of keypoints comparator 2020-11-03 21:54:56 +03:00
Alexander Alekhin
716450ceb5 Merge pull request #18158 from legrosbuffle:3.4-vectorize-dft-radix 2020-10-30 22:05:50 +00:00
APrigarina
0f7b2eb79f fix curved qrcodes decoding 2020-10-28 12:54:54 +03:00
Alexander Alekhin
0ec94630d4 Merge pull request #18640 from alalek:core_cleanup_inline_code 2020-10-24 17:06:08 +00:00
ann
c71f2714c6
Merge pull request #18003 from APrigarina:curved_qrcodes_decoding
Detection and decoding of curved QR-codes

* temp changes for curved qrcodes

* added api for curved qr code decoding

* fixed prototypes

* refactored curved qr code decoding

* refactored curved qr code decoding 2nd part

* refactored curved qr code decoding 3rd part

* refactored curved qr code decoding 4th part

* added tests for curved qr code decoding

* refactored curved qr code decoding 5th part
2020-10-23 18:42:45 +00:00
Justin Frank
61a8cf8ba7 Fix TypeError when building for WebAssembly with Python 3 2020-10-22 12:38:28 -07:00
Alexander Alekhin
aac7c5465b core: move inline code from mat.inl.hpp 2020-10-21 23:06:09 +00:00
Rob Timpe
22ee5c0c4d Fix errors when building with cuda stubs
Fixes two errors when building with the options WITH_CUDA=ON and BUILD_CUDA_STUBS=ON on a machine without CUDA.

In the cudaarithm module, make sure cuda_runtime.h only gets included when CUDA is installed.

In the stitching module, don't assume that cuda is present just because cudaarithm and cudawarping are present (as is the case when building with the above options).
2020-10-21 15:51:46 -07:00
lizz
331b73c8e4 Typo in docstring of distanceTransform 2020-10-20 17:57:10 +08:00
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
bd19f991a5 Merge pull request #18602 from alalek:issue_18597 2020-10-16 20:22:58 +00:00
Alexander Alekhin
e87ba1d317 Merge pull request #18590 from krush11:master 2020-10-16 19:47:03 +00:00
Alexander Alekhin
b5717f82a0 core: fix __clang_major__ typo regression 2020-10-16 15:35:51 +00:00
Pavel Rojtberg
bc6a70c689 imwrite: multi-image overload for bindings 2020-10-16 11:27:09 +00:00
Krushnal Patel
1fb6c6e6e5 Update demosaicing.cpp 2020-10-16 11:15:42 +00:00
Welton Rodrigo Torres Nascimento
25163eb008 Doc: INTER_LINEAR_EXACT unsupported in remap
Update documentation to reflect INTER_LINEAR_EXACT being
unsupported in remap
2020-10-13 11:51:23 -03:00
Alexander Alekhin
96e8b83d41 Merge pull request #18568 from catree:fix_deepgreen_colormap_fig 2020-10-13 10:02:39 +00:00
catree
de93782fab Move colorscale_deepgreen.jpg to the correct folder. 2020-10-11 17:18:05 +02:00
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
cdcf7e62f3 dnn(opencl): bypass unsupported fusion cases 2 2020-10-09 18:59:08 +00:00
Alexander Alekhin
718dd9f170 dnn(opencl): bypass unsupported fusion cases 2020-10-09 12:33:06 +00:00
Alexander Alekhin
e87a0baa4b dnn(test): enable tests from issue 17953 2020-10-08 20:27:03 +00:00
Alexander Alekhin
6da05f7086 dnn(test): update tests for OpenVINO 2021.1 2020-10-08 10:22:31 +00:00
Alexander Alekhin
62b5d37b6b Merge pull request #18526 from alalek:fix_uninitialized_warnings 2020-10-06 22:49:55 +00:00
Alexander Alekhin
d78d9bf151 Merge pull request #18519 from alalek:fix_javadoc 2020-10-06 22:48:21 +00:00
Alexander Alekhin
a5f0fb6008 Merge pull request #18518 from alalek:backport_17993 2020-10-06 22:47:45 +00:00
Alexander Alekhin
f2bb3d0d80 videoio(dc1394_v2): ensure variable initialization 2020-10-06 21:00:36 +00:00
Alexander Alekhin
037a72debd Merge pull request #18517 from alalek:backport_18031 2020-10-06 19:56:49 +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
644de8f22a java: fix javadoc generation 2020-10-06 04:28:25 +00:00
Maksim Doronin
36f61f3879 [IE][VPU]: Refactor vpu configs
backported commit: 7fe87d9a5b
2020-10-05 20:27:52 +00:00
Ilya Churaev
aa11f7d8a3 Removed get_output_as_single_output_node method
backported commit: 5fd3d36fe8
2020-10-05 20:24:21 +00:00
Alexander Alekhin
f30aafc3cc core(test): regression test for 18473 2020-10-05 17:14:22 +00:00
Alexander Alekhin
2f065b8b4c Merge pull request #18509 from alalek:issue_18392 2020-10-05 17:03:27 +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
Alexander Alekhin
a00fe15abd dnn: check for empty Net in .forward() 2020-10-05 06:23:47 +00:00
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
a5b8f163d7 Merge pull request #18488 from alalek:maxflow_missing_check 2020-10-02 15:04:28 +00:00
Alexander Alekhin
6add3b9161 Merge pull request #18487 from aitikgupta:unnecessary-variable 2020-10-02 15:03:59 +00:00
Alexander Alekhin
1ddd61f98a Merge pull request #18458 from sturkmen72:Update_window_w32_cpp 2020-10-02 15:00:44 +00:00
Alexander Alekhin
3503a36e5e Merge pull request #18444 from aitikgupta:check-minimum-points 2020-10-02 14:59:07 +00:00
zhuqiang00099
a968eadbf1 fix darknet-relu bug in darknet_io.cpp 2020-10-02 06:16:38 +00:00
Alexander Alekhin
c6b63e0e28 calib3d/imgproc: add GCGraph::maxFlow() missing empty checks 2020-10-02 05:15:20 +00:00
Aitik Gupta
7bd8ddc8fa removed no-affect variable 2020-10-02 09:27:16 +05:30
Suleyman TURKMEN
14e264f646
Update window_w32.cpp 2020-09-29 21:50:06 +03:00
Alexander Alekhin
969b55036f Merge pull request #18438 from alalek:dnn_onnx_importer_error_reporting 2020-09-29 13:49:02 +00:00
Aitik Gupta
cbf978d1f7 added minPoints Homography test 2020-09-29 01:04:15 +05:30
Aitik Gupta
94e0ac7d9f need atleast 4 corresponding points to calculate homography 2020-09-29 01:04:01 +05:30
Alexander Alekhin
d62d880316 Merge pull request #18447 from alalek:fix_17953 2020-09-28 18:45:31 +00:00
Alexander Alekhin
c08f29c803 dnn(opencl): fix convolution kernel w/o bias with activation 2020-09-27 23:42:30 +00:00
Alexander Alekhin
ecb6d03ccd Merge pull request #18445 from alalek:fix_test_python_ml 2020-09-27 23:12:02 +00:00
Alexander Alekhin
e59793cc75 dnn: improve debugging of ONNX parsing errors 2020-09-27 23:04:48 +00:00
Alexander Alekhin
236ad4aeda Merge pull request #18441 from alalek:core_check_force_string_literals 2020-09-27 23:03:18 +00:00
Alexander Alekhin
97bb91d5fa ml: fix python test 2020-09-27 21:14:55 +00:00
Alexander Alekhin
233030e417 core: force check for string literals are used in the message 2020-09-27 06:37:44 +00:00
Tomoaki Teshima
48368dc9a1 loosen threshold for Mali 2020-09-27 00:37:52 +09:00
Tomoaki Teshima
234117800f brush up by following the comments 2020-09-25 23:57:15 +09:00
Alexander Alekhin
220b37144b Merge pull request #18395 from tomoaki0705:fixNativePow 2020-09-23 18:27:45 +00:00
Tomoaki Teshima
74c8ccb45b fix build error of kernel on Mali 2020-09-23 21:38:12 +09:00
Nathan Godwin
2f9072efdc Fixed assertions on ippe solver 2020-09-21 21:56:28 -05:00
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
3e3787ecb6 Merge pull request #18360 from tomoaki0705:fixClampFailure 2020-09-18 13:10:36 +00:00
Alexander Alekhin
a723aaedd8 Merge pull request #18354 from takehirokj:fix_typo_in_doc 2020-09-18 13:10:10 +00:00
Liubov Batanina
ebb528976f
Merge pull request #18353 from l-bat:issue_18350
* Fixed bug in ONNX Mul op

* Replaced node
2020-09-18 13:01:14 +00:00
Tomoaki Teshima
f77c2d700f add explicit cast for half 2020-09-18 21:04:24 +09:00
Takehiro Kajihara
8c44b8306b Fix typo in videoio doc 2020-09-18 07:34:10 +09:00
Alexander Alekhin
e668cff573 Merge pull request #18348 from tomoaki0705:fixNppFlipInplace 2020-09-17 13:56:17 +00:00
Sergei Slashchinin
fa953e4205
Merge pull request #18316 from sl-sergei:fix_18253
Fix loading of ONNX models with Resize operation with Opset 11 for newer versions of Pytorch

* Add reproducer for Resize operation from newer versions of Pytorch

* Fix loading of scales parameter for Resize layer

* Change check type for better diagnostic messages
2020-09-17 11:05:22 +00:00
Tomoaki Teshima
a61546680b use only even number for inplace flip 2020-09-16 15:45:03 +09:00
Alexander Alekhin
18440c1faf Merge pull request #18314 from gilsho:components 2020-09-14 20:15:38 +00:00
Alexander Alekhin
9f69ca503a Merge pull request #18325 from alalek:issue_18166 2020-09-14 18:17:58 +00:00
Alexander Alekhin
4b24ddd70d Merge pull request #18317 from sl-sergei:restored_pr_17629 2020-09-13 12:51:41 +00:00
Gil Shotan
1612db5f91 Fix signed integer overflow in connected components 2020-09-13 11:20:42 +00:00
Alexander Alekhin
7dfe68cac6 imgcodecs: lazy on-demand codecs initialization 2020-09-13 11:14:56 +00:00
Shubham Singh
23e71d1aa2 fixes #17187 probably
Added Eltwise Layer Support
2020-09-11 18:53:42 +03:00
Liubov Batanina
b542a1804c Support global reduce ops 2020-09-09 11:56:20 +03:00
Alexander Alekhin
50ff40d684 pre: OpenCV 3.4.12 (version++) 2020-09-06 22:26:32 +00:00
Danny
c31164bf1e
Merge pull request #18126 from danielenricocahall:add-oob-error-sample-weighting
Account for sample weights in calculating OOB Error

* account for sample weights in oob error calculation

* redefine oob error functions

* fix ABI compatibility
2020-09-05 18:52:10 +00:00
Alexander Alekhin
3835ab394e Merge pull request #18265 from alalek:fixup_17489 2020-09-04 17:02:08 +00:00
Danny
20b23da8e2
Merge pull request #18061 from danielenricocahall:fix-kd-tree
Fix KD Tree kNN Implementation

* Make KDTree mode in kNN functional

remove docs and revert change

Make KDTree mode in kNN functional

spacing

Make KDTree mode in kNN functional

fix window compilations warnings

Make KDTree mode in kNN functional

fix window compilations warnings

Make KDTree mode in kNN functional

casting

Make KDTree mode in kNN functional

formatting

Make KDTree mode in kNN functional

* test coding style
2020-09-04 17:01:05 +00:00
Alexander Alekhin
f6795d75a6 videoio: repair build of FFmpeg windows wrapper 2020-09-04 15:36:10 +00:00
Alexander Alekhin
fa11b98800 Merge pull request #18255 from alalek:backport_18243 2020-09-02 22:50:21 +00:00
Alexander Alekhin
64c67a93d3 Merge pull request #18246 from YashasSamaga:dnn-permute-fix-unwanted-ocl-init 2020-09-02 21:15:19 +00:00
Alexander Alekhin
154380ccf5 Merge pull request #18234 from l-bat:onnx_reshape 2020-09-02 19:31:22 +00:00
Alexander Alekhin
1f2c83845d backport: checks and fixes from static code analyzers results
original commit: 71f665bd8c
2020-09-02 19:05:47 +00:00
Liubov Batanina
2349a09736 Support Reshape with zero dim 2020-09-02 11:58:43 +03:00
YashasSamaga
1df533c914 fix typo in fusion tests 2020-09-02 14:25:36 +05:30
YashasSamaga
44bf748479 do not allocate UMat in non-OpenCL targets 2020-09-02 12:18:41 +05:30
pemmanuelviel
31dc3e9256
Merge pull request #18211 from pemmanuelviel:pev--handle-dna-vectors
* DNA-mode: update miniflann to handle DNA

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

* bit-exact gaussian kernel for CV_16U

* SIMD optimization

* template GaussianBlurFixedPoint

* remove template specialization

* simd support for h3N121 uint16

* test for u16 gaussian blur

* remove unnecessary comments

* fix return type of raw()

* add typedef of native internal type in fixedpoint

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

* bit exact resizeNN

* change the value of method enum

* add bitexact-nn to ResizeExactTest

* test to compare with non-exact version

* add perf for bit-exact resizenn

* use cvFloor-equivalent

* 1/3 scaling is not stable for floating calculation

* stricter test

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

* bugfix: broken data in default pix_size

* stricter threshold

* use raw() for floor

* use double instead of int

* follow code reviews

* fewer cases in perf test

* center pixel convention
2020-08-28 21:20:05 +03:00
Pierre-Emmanuel Viel
5376863c0c bugfix 2020-08-27 12:21:02 +02:00
Alexander Alekhin
01324b02e7 Merge pull request #18136 from nglee:dev_cudaEqualizeHistBitExact 2020-08-26 12:11:43 +00:00
Alexander Alekhin
792722865f Merge pull request #17919 from zhaoyue-zephyrus:flownet2_with_anysize 2020-08-26 11:43:17 +00:00
Sergei Slashchinin
9aa401a7d0
Merge pull request #17978 from sl-sergei:fix_17516_17531
* Fix ONNX loading in issues opencv#17516, opencv#17531

* Add tests for Linear and Matmul layers

* Disable tests for IE versions lower than 20.4

* Skip unstable tests with OpenCL FP16 on Intel GPU

* Add correct test filtering for OpenCL FP16 tests
2020-08-26 10:15:59 +00:00
Alexander Alekhin
c7422e4d90 Merge pull request #18171 from catree:fix_pnp_doc 2020-08-25 18:24:30 +00:00
Alexander Alekhin
485d2b593c Merge pull request #18178 from catree:improve_camera_matrix_doc 2020-08-25 13:33:39 +00:00
Alexander Alekhin
1bea537731 Merge pull request #18165 from catree:fix_hand_eye_calibration_Andreff_NaN_3.4 2020-08-25 13:28:21 +00:00
catree
379b83e946 Fix cubic root computation to be able to handle negative values. Improve doc. Add regression test. 2020-08-25 03:37:56 +02:00
catree
dda1bf1887 Add broken implementation note for DLS and UPnP.
Add CV_LOG_DEBUG.
2020-08-25 03:07:00 +02:00
Vadim Levin
f7e524cbe6 fix: libavcodec version check for AVDISCARD_NONINTRA
- AVDISCARD_NONINTRA flag is supported only for FFMPEG libraries pack
2020-08-24 23:12:49 +03:00
Vadim Levin
e503ac508e fix: libavcodec version check for AV_CODEC_FLAG_GLOBAL_HEADER 2020-08-24 23:07:25 +03:00
Liubov Batanina
d392b11dfb Supported ONNX Pow op 2020-08-24 11:20:18 +03:00
catree
cd01ee9a54 Use camera intrinsic matrix everywhere. Add cameramatrix, distcoeffs and distcoeffsfisheye macros to avoid copy/paste errors. 2020-08-24 05:39:23 +02:00
Alexander Alekhin
f53ff0d01c Merge pull request #18151 from alalek:core_trace_fix_location 2020-08-21 18:54:40 +00:00
Namgoo Lee
a7ffcaab28 Remove compiler warnings 2020-08-21 23:52:30 +09:00
Namgoo Lee
f617f18e46 bit-exact cuda::equalizeHist 2020-08-21 22:53:40 +09:00
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
fc0f9da7a7 Merge pull request #18084 from pemmanuelviel:pev--add-DNA-distances 2020-08-20 13:26:02 +00:00
Alexander Alekhin
277961fa25 Merge pull request #18085 from pemmanuelviel:pev--add-DbgAssert-checks 2020-08-20 13:25:02 +00:00
Alexander Alekhin
2c1f3487a4 Merge pull request #18037 from danielenricocahall:improve-brisk-init-perf 2020-08-18 20:06:17 +00:00
Alexander Alekhin
acc6189da0 Merge pull request #18022 from SoheibKadi:Update_CornerSubPix_Documentation 2020-08-18 13:19:18 +00:00
danielenricocahall
ac177b849c Improve initialization performance of Brisk
reformatting

Improve initialization performance of Brisk

fix formatting

Improve initialization performance of Brisk

formatting

Improve initialization performance of Brisk

make a lookup table for ring

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

fix ring lookup table

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

formatting

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

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

revert change

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

remove rings lookup table

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

fix formatting of for loop

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

use sine/cosine approximations for brisk lookup table.

add documentation for sine/cosine lookup tables

Improve initialization performance of BRISK
2020-08-18 07:11:21 -04:00
Alexander Alekhin
29aeebf5bc Merge pull request #18119 from tomoaki0705:fixFfmpegBuildFailure 2020-08-17 19:25:55 +00:00
Tomoaki Teshima
cc769ff19d fix build error on odroid-n2-plus 2020-08-17 21:24:54 +09:00
Yosshi999
1834eed809
Merge pull request #18001 from Yosshi999:sift-8bit-descr
* 8-bit SIFT descriptors

* use clearer parameter

* update docs

* propagate type info

* overload function for avoiding ABI-break

* bugfix: some values are undefined when CV_SIMD is absent
2020-08-17 10:28:44 +00:00
Alexander Alekhin
7ec9f52509 highgui: don't terminate if we can't initialize GTK backend
- allow Users to handle such case
- exception will be thrown instead
2020-08-16 09:30:09 +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
7f22b34c78 Merge pull request #18092 from alalek:ocl_fix_image_format 2020-08-14 17:10:36 +00:00
Liubov Batanina
ad63d24dba
Merge pull request #18096 from l-bat:update_onnx_importer
* Added ReduceSum to ONNX importer

* Fix comments

* Fix Mul
2020-08-14 16:49:42 +00:00
Alexander Alekhin
3b5813c035 Merge pull request #18078 from l-bat:fix_matmul 2020-08-14 13:46:46 +00:00
Liubov Batanina
339b963e6b Fix MatMul and Add axes 2020-08-14 11:18:58 +03:00
Alexander Alekhin
00890aecdf core(ocl): fix ocl::Image2d::isFormatSupported()
in case of OPENCV_OPENCL_DEVICE=disabled
2020-08-13 18:33:18 +00:00
Yashas Samaga B L
2171cae8ff
Merge pull request #17976 from YashasSamaga:dnn-fusion-tests-fix-ocl
dnn: add exhaustive fusion tests, enable more eltwise fusions

* add eltwise fusion tests, enable more eltwise fusions

* merge weighted eltwise tests with eltwise tests
2020-08-13 10:55:41 +00:00
Pierre-Emmanuel Viel
3f55152ca0 Add debug assert to check in FLANN the vectors size is multiple of the architecture word size 2020-08-12 23:07:35 +02:00
Liubov Batanina
f3cebb3e1b
Merge pull request #18077 from l-bat:reduce_sum
* Supported ReduceSum op

* Skip test
2020-08-12 14:32:16 +00:00
Pierre-Emmanuel Viel
98de57c6c4 Refactoring to prepare for other vector types while mutualizing some methods 2020-08-12 00:57:37 +02:00
zhaoyue-zephyrus
e231be86b7 support flownet2 with arbitary input size
revise default proto to match the filename in documentations

fix a bug

beautify python codes

fix bug

beautify codes

add test samples with larger/smaller size

remove unless code

using bytearray without creating tmp file

remove useless codes
2020-08-12 00:50:58 +08:00
Alexander Alekhin
3f65c12d0c Merge pull request #17982 from nglee:dev_cudaGpuMatConvertToInplaceFix 2020-08-09 20:21:17 +00:00
Liubov Batanina
6226ea0085 Fix bug in ONNX Gather op 2020-08-06 15:47:34 +03:00
Vadim Pisarevsky
1537ecd931 * added depth-wise convolution; gives ~20-30% performance improvement in MobileSSD networks
* hopefully, eliminated compile warnings, errors, as well as failure in one test

* * fixed a few typos
* decreased buffer size in some cases
* added more optimal im2row branch in the case of 1x1 convolutions
* tuned fastConv to reduce the number of passes over arrays

backport of commit 77b01deb80
2020-08-04 17:34:48 +00:00
Alexander Alekhin
5b5c42d2c7 Merge pull request #18027 from dkurt:dnn_backport_ngraph 2020-08-04 16:24:11 +00:00
Alexander Alekhin
161890dad4 Merge pull request #18017 from danielenricocahall:add-relu-to-darknet 2020-08-04 16:17:07 +00:00
Alexander Alekhin
35846fe735 Merge pull request #18008 from gsmatos:document-patchnans 2020-08-04 16:15:53 +00:00
Gabriel
96ce65f021 Document PatchNANs input type 2020-08-03 22:57:18 -03:00
danielenricocahall
8457e471fd add relu as activation option in darknet
add relu option

add relu as activation option in darknet

simplify the setParams if-else ladder

add relu as activation option in darknet

correct activation_param type

format

format

add relu as activation option in darknet

spacing

spacing

add relu as activation option in darknet
2020-08-03 19:19:35 -04:00