Commit Graph

5427 Commits

Author SHA1 Message Date
HAN Liutong
f617fbe166
Merge pull request #24132 from hanliutong:rewrite-imgproc2
Rewrite Universal Intrinsic code by using new API: ImgProc module Part 2 #24132

The goal of this series of PRs is to modify the SIMD code blocks guarded by CV_SIMD macro in the opencv/modules/imgproc folder: rewrite them by using the new Universal Intrinsic API.

This is the second part of the modification to the Imgproc module ( Part 1: #24058 ), And I tested this patch on RVV (QEMU) and AVX devices, `opencv_test_imgproc` is passed.

The patch is partially auto-generated by using the [rewriter](https://github.com/hanliutong/rewriter).

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [ ] I agree to contribute to the project under Apache 2 License.
- [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-09-19 08:52:42 +03:00
Alexander Smorkalov
8f2e6640e3
Merge pull request #24288 from tailsu:sd/emscripten-3.1.45-fixes
build fixes for emscripten 3.1.45
2023-09-19 08:09:18 +03:00
Stefan Dragnev
9b5a719d80 build fixes for emscripten 3.1.45 2023-09-18 15:38:31 +02:00
Dmitry Kurtaev
6bc369fc56
Merge pull request #24250 from dkurt:ts_fixture_constructor_skip_2
Skip test on SkipTestException at fixture's constructor (version 2) #24250

### Pull Request Readiness Checklist

Another version of https://github.com/opencv/opencv/pull/24186 (reverted by https://github.com/opencv/opencv/pull/24223). Current implementation cannot handle skip exception at `static void SetUpTestCase` but works on `virtual void SetUp`.

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-09-18 10:23:24 +03:00
Vincent Rabaud
3880d059b3
Merge pull request #24260 from vrabaud:ubsan
Fix undefined behavior arithmetic in copyMakeBorder and adjustROI. #24260

This is due to the undefined: negative int multiplied by size_t pointer increment.

To test, compile with:
```
mkdir build
cd build
cmake ../ -DCMAKE_C_FLAGS_INIT="-fsanitize=undefined" -DCMAKE_CXX_FLAGS_INIT="-fsanitize=undefined" -DCMAKE_C_COMPILER="/usr/bin/clang" -DCMAKE_CXX_COMPILER="/usr/bin/clang++" -DCMAKE_SHARED_LINKER_FLAGS="-fsanitize=undefined -lubsan"
```
And run:
```
make -j opencv_test_core && ./bin/opencv_test_core --gtest_filter=*UndefinedBehavior*
```

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-09-14 15:16:28 +03:00
Yuriy Chernyshov
eb20bb3b23 Add missing sanitizer interface include 2023-09-13 12:15:34 +03:00
Alexander Smorkalov
0367a12b92 Check that cv::merge input matrices are not empty. 2023-09-08 12:36:46 +03:00
Yuriy Chernyshov
8a415c881a Add missing std namespace qualifiers 2023-09-06 13:46:39 +03:00
Yuriy Chernyshov
494d201fda Add missing <sstream> includes 2023-09-05 22:04:26 +03:00
Alexander Smorkalov
cca4ee2e46 Revert PR 24186 as it force skip tests. 2023-09-05 14:35:37 +03:00
Kumataro
72bb8bb73c core: arm64: v_round() works with round to nearest, ties to even. 2023-09-04 10:27:55 +03:00
Yuantao Feng
a308dfca98
core: add broadcast (#23965)
* add broadcast_to with tests

* change name

* fix test

* fix implicit type conversion

* replace type of shape with InputArray

* add perf test

* add perf tests which takes care of axis

* v2 from ficus expand

* rename to broadcast

* use randu in place of declare

* doc improvement; smaller scale in perf

* capture get_index by reference
2023-08-30 09:53:59 +03:00
Dmitry Kurtaev
588ddf1b18
Merge pull request #24186 from dkurt:ts_fixture_constructor_skip
Skip test on SkipTestException at fixture's constructor

* Skip test on SkipTestException at fixture's constructor

* Add warning supression

* Skip Python tests if no test file found

* Skip instances of test fixture with exception at SetUpTestCase

* Skip test with exception at SetUp method

* Try remove warning disable

* Add CV_NORETURN

* Remove FAIL assertion

* Use findDataFile to throw Skip exception

* Throw exception conditionally
2023-08-25 14:53:34 +03:00
Kumataro
81cc89a3ce
Merge pull request #24179 from Kumataro:fix24145
* core:add OPENCV_IPP_MEAN/MINMAX/SUM option to enable IPP optimizations

* fix: to use guard HAVE_IPP and ocv_append_source_file_compile_definitions() macro.

* support OPENCV_IPP_ENABLE_ALL

* add document for OPENCV_IPP_ENABLE_ALL

* fix OPENCV_IPP_ENABLE_ALL comment
2023-08-23 22:53:11 +03:00
Sean McBride
d792ebc5d2 Fixed buffer overrun; removed the last two uses of sprintf
Fixed an off-by-1 buffer resize, the space for the null termination was forgotten.

Prefer snprintf, which can never overflow (if given the right size).

In one case I cheated and used strcpy, because I cannot figure out the buffer size at that point in the code.
2023-08-16 20:04:17 -04:00
Alexander Smorkalov
747b7cab6c
Merge pull request #23734 from seanm:unaligned-copy
Fixed invalid cast and unaligned memory access
2023-08-11 15:23:08 +03:00
Alexander Smorkalov
232c67bf76
Merge pull request #24140 from sthibaul:4.x
Fix GNU/Hurd build
2023-08-11 12:32:22 +03:00
HAN Liutong
0dd7769bb1
Merge pull request #23980 from hanliutong:rewrite-core
Rewrite Universal Intrinsic code by using new API: Core module. #23980

The goal of this PR is to match and modify all SIMD code blocks guarded by `CV_SIMD` macro in the `opencv/modules/core` folder and rewrite them by using the new Universal Intrinsic API.

The patch is almost auto-generated by using the [rewriter](https://github.com/hanliutong/rewriter), related PR #23885.

Most of the files have been rewritten, but I marked this PR as draft because, the `CV_SIMD` macro also exists in the following files, and the reasons why they are not rewrited are:

1. ~~code design for fixed-size SIMD (v_int16x8, v_float32x4, etc.), need to manually rewrite.~~ Rewrited
- ./modules/core/src/stat.simd.hpp
- ./modules/core/src/matrix_transform.cpp
- ./modules/core/src/matmul.simd.hpp

2. Vector types are wrapped in other class/struct, that are not supported by the compiler in variable-length backends. Can not be rewrited directly.
- ./modules/core/src/mathfuncs_core.simd.hpp 
```cpp
struct v_atan_f32
{
    explicit v_atan_f32(const float& scale)
    {
...
    }

    v_float32 compute(const v_float32& y, const v_float32& x)
    {
...
    }

...
    v_float32 val90; // sizeless type can not used in a class
    v_float32 val180;
    v_float32 val360;
    v_float32 s;
};
```

3. The API interface does not support/does not match

- ./modules/core/src/norm.cpp 
Use `v_popcount`, ~~waiting for #23966~~ Fixed
- ./modules/core/src/has_non_zero.simd.hpp
Use illegal Universal Intrinsic API: For float type, there is no logical operation `|`. Further discussion needed

```cpp
/** @brief Bitwise OR

Only for integer types. */
template<typename _Tp, int n> CV_INLINE v_reg<_Tp, n> operator|(const v_reg<_Tp, n>& a, const v_reg<_Tp, n>& b);
template<typename _Tp, int n> CV_INLINE v_reg<_Tp, n>& operator|=(v_reg<_Tp, n>& a, const v_reg<_Tp, n>& b);
```

```cpp
#if CV_SIMD
    typedef v_float32 v_type;
    const v_type v_zero = vx_setzero_f32();
    constexpr const int unrollCount = 8;
    int step = v_type::nlanes * unrollCount;
    int len0 = len & -step;
    const float* srcSimdEnd = src+len0;

    int countSIMD = static_cast<int>((srcSimdEnd-src)/step);
    while(!res && countSIMD--)
    {
        v_type v0 = vx_load(src);
        src += v_type::nlanes;
        v_type v1 = vx_load(src);
        src += v_type::nlanes;
....
        src += v_type::nlanes;
        v0 |= v1; //Illegal ?
....
        //res = v_check_any(((v0 | v4) != v_zero));//beware : (NaN != 0) returns "false" since != is mapped to _CMP_NEQ_OQ and not _CMP_NEQ_UQ
        res = !v_check_all(((v0 | v4) == v_zero));
    }

    v_cleanup();
#endif
```

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [ ] I agree to contribute to the project under Apache 2 License.
- [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-08-11 08:33:33 +03:00
Samuel Thibault
82de5b3a67 Fix GNU/Hurd build
It has the usual Unix filesystem operations.
2023-08-10 22:43:46 +02:00
cudawarped
bea0c1b660 cuda: Fix GpuMat::copyTo and GpuMat::converTo python bindings 2023-08-01 15:09:37 +03:00
Alexander Smorkalov
b22c2505a8 Disable warning C5054 in VS 2022 C++20 2023-07-26 09:23:32 +03:00
Alexander Smorkalov
12acf5603a
Merge pull request #24001 from legrosbuffle:legrosbuffle-cvround-intrinsic
Use intrinsics for `cvRound` on x86_64 `__GNUC__` (clang/gcc linux) too.
2023-07-23 09:53:18 +03:00
Clement Courbet
3cce299a78 Use intrinsics for cvRound on x86 and x86_64 __GNUC__ (clang/gcc linux) too.
We've measured a 7x improvement in speed for `cvRound` using the intrinsic.
2023-07-21 10:57:54 +03:00
Vincent Rabaud
423ab8ddb8 Use void* 2023-07-20 15:53:57 +02:00
Vincent Rabaud
20784d3da2 Fix undefined behavior with wrong function pointers called.
Details here: https://bugs.chromium.org/p/oss-fuzz/issues/detail?id=58006
runtime error: call to function (unknown) through pointer to incorrect function type 'void (*)(const unsigned char **, const int *, unsigned char **, const int *, int, int)'
2023-07-20 15:32:05 +02:00
Alexander Smorkalov
23f27d8dbe Use OpenCV logging instead of std::cerr. 2023-07-19 10:49:54 +03:00
Alexander Smorkalov
1f7025f028
Merge pull request #23920 from loongson-zn:4.x
Fix LoongArch Macro Definition
2023-07-14 15:00:41 +03:00
Alexander Smorkalov
bd2695f01b
Merge pull request #23966 from hanliutong:popcount
Add missing ”v_popcount“ for RVV and enable tests.
2023-07-13 12:22:46 +03:00
Alexander Smorkalov
85f0074f23
Merge pull request #23973 from mshabunin:riscv-unaligned-access
RISC-V: fix unaligned loads and stores
2023-07-12 14:51:56 +03:00
Maksim Shabunin
3f0707234f risc-v: fix unaligned loads and stores 2023-07-11 19:23:12 +03:00
Avasam
cd9f85dbda Update usages of ConditionalAliasTypeNode following #23838 to use TYPE_CHECKING 2023-07-11 12:22:27 -04:00
Liutong HAN
a00818047f Add missing ”v_popcount“ for RVV and enable tests. 2023-07-11 16:10:27 +08:00
Alexander Smorkalov
6ff5245cf2
Merge pull request #23927 from Avasam:partially-unknown-mat
Fix partially unknown Mat
2023-07-11 10:32:48 +03:00
Alexander Smorkalov
05becd56e5
Merge pull request #23938 from mshabunin/fix-warnings-gcc
Fix compiler warnings for GCC 11-12 and Clang 13
2023-07-10 12:41:37 +03:00
Maksim Shabunin
09944a83d9 build: w/a compiler warnings for GCC 11-12 and Clang 13, reduce build output 2023-07-10 11:27:59 +03:00
Zhang Na
10294a84fa Fix LoongArch Macro Definition 2023-07-05 17:42:39 +08:00
Avasam
9f87475129 Fix partially unknown Mat 2023-07-04 16:44:32 -04:00
Berke
71796edf95
removed trailing semicolon after function
It gives error when building projects with -Wpedantic -Werror

error: extra ‘;’ [-Werror=pedantic]

Issue ##23916
2023-07-04 21:18:30 +03:00
Alexander Alekhin
67faf1610e Merge pull request #23885 from hanliutong:UniversalIntrinsicRewriter 2023-07-03 14:56:30 +00:00
Alexander Smorkalov
131dab774c Merge branch 'release_4.8.0' into 4.x 2023-06-28 15:22:43 +03:00
Alexander Smorkalov
f9a59f2592 Release OpenCV 4.8.0 2023-06-28 14:53:33 +03:00
Liutong HAN
d17507052e Rewrite SIMD code by using new Universal Intrinsic API. 2023-06-28 17:12:37 +08:00
Alexander Smorkalov
bf06bc92aa Merge branch '3.4' into merge-3.4 2023-06-23 20:12:58 +03:00
Paul Kim (김형준)
3b264d5877
Add pthread.h Inclusion if HAVE_PTHREADS_PF is defined
Single-case tested with success on Windows 11 with MinGW-w64 Standalone GCC v13.1.0 while building OpenCV 4.7.0
2023-06-23 17:53:03 +09:00
Dmitry Kurtaev
22b747eae2
Merge pull request #23702 from dkurt:py_rotated_rect
Python binding for RotatedRect #23702

### Pull Request Readiness Checklist

related: https://github.com/opencv/opencv/issues/23546#issuecomment-1562894602

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-06-22 15:09:53 +03:00
Alexander Smorkalov
65b957a5b3
Merge pull request #23832 from asmorkalov:as/reshape_docs
Document parameters of multi-dimentional reshape
2023-06-21 09:04:17 +03:00
Alexander Smorkalov
9eaa7bd566 Document parameters of multi-dimentional reshape. 2023-06-20 21:54:49 +03:00
Alexander Smorkalov
51702ffd92 pre: OpenCV 4.8.0 (version++) 2023-06-20 15:52:57 +03:00
Alexander Smorkalov
805946baaf pre: OpenCV 3.4.20 (version++) 2023-06-20 14:10:08 +03:00
Alexander Smorkalov
004801f1c5 Merge remote-tracking branch 'origin/3.4' into merge-3.4 2023-06-20 09:56:57 +03:00
Dmitry Kurtaev
433c364456
Merge pull request #23724 from dkurt:java_without_ant
Build Java without ANT #23724

### Pull Request Readiness Checklist

Enables a path of building Java bindings without ANT

* Able to build OpenCV JAR and Docs without ANT
  ```
  --   Java:
  --     ant:                         NO
  --     JNI:                         /usr/lib/jvm/default-java/include /usr/lib/jvm/default-java/include/linux /usr/lib/jvm/default-java/include
  --     Java wrappers:               YES
  --     Java tests:                  NO
  ```
* Possible to build OpenCV JAR without ANT but tests still require ANT

**Merge with**: https://github.com/opencv/opencv_contrib/pull/3502

Notes:
- Use `OPENCV_JAVA_IGNORE_ANT=1` to force "Java" flow for building Java bindings
- Java tests still require Apache ANT
- JAR doesn't include `.java` source code files.


See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-06-16 19:58:20 +03:00
dizcza
e625b32841 [opencv 3.x] back-ported tbb support ubuntu 22.04 2023-06-15 19:30:40 +03:00
Sean McBride
57da72d444 Fixed invalid cast and unaligned memory access
Although acceptible to Intel CPUs, it's still undefined behaviour according to the C++ standard.

It can be replaced with memcpy, which makes the code simpler, and it generates the same assembly code with gcc and clang with -O2 (verified with godbolt).

Also expanded the test to include other little endian CPUs by testing for __LITTLE_ENDIAN__.
2023-06-09 18:56:49 -04:00
Pierre Chatelier
60b806f9b8
Merge pull request #22947 from chacha21:hasNonZero
Added cv::hasNonZero() #22947 

`cv::hasNonZero()` is semantically equivalent to (`cv::countNonZero()>0`) but stops parsing the image when a non-zero value is found, for a performance gain

- [X] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake

This pull request might be refused, but I submit it to know if further work is needed or if I just stop working on it.
The idea is only a performance gain vs `countNonZero()>0` at the cost of more code.

Reasons why it might be refused :

- this is just more code
- the execution time is "unfair"/"unpredictable" since it depends on the position of the first non-zero value
- the user must be aware that default search is from first row/col to last row/col and has no way to customize that, even if his use case lets him know where a non zero could be found
- the PR in its current state is using, for the ocl implementation, a mere `countNonZero()>0` ; there is not much sense in trying to break early the ocl kernel call when non-zero is encountered. So the ocl implementation does not bring any improvement.
- there is no IPP function that can help (`countNonZero()` is based in `ippCountInRange`)
- the PR in its current state might be slower than a call to `countNonZero()>0` in some cases (see "challenges" below)

Reasons why it might be accepted :

- the performance gain is huge on average, if we consider that "on average" means "non zero in the middle of the image"
- the "missing" IPP implementation is replaced by an "Open-CV universal intrinsics" implementation
- the PR in its current state is almost always faster than a call to `countNonZero()>0`, is only slightly slower in the worst cases, and not even for all matrices

**Challenges**
The worst case is either an all-zero matrix, or a non-zero at the very last position.  In such a case, the `hasNonZero()` implementation will parse the whole matrix like `countNonZero()` would do. But we expect the performance to be the same in this case. And `ippCountInRange` is hard to beat !
There is also the case of very small matrices (<=32x32...) in 8b, where the SIMD can be hard to feed.

For all cases but the worse, my custom `hasNonZero()` performs better than `ippCountInRange()`
For the worst case, my custom `hasNonZero()` performs better than `ippCountInRange()` *except for large matrices of type CV_32S or CV_64F* (but surprisingly, not CV_32F).
The difference is small, but it exists (and I don't understand why).
For very small CV_8U matrices `ippCountInRange()` seems unbeatable.

Here is the code that I use to check timings

```

  //test cv::hasNonZero() vs (cv::countNonZero()>0) for different matrices sizes, types, strides...
  {
    cv::setRNGSeed(1234);
    const std::vector<cv::Size> sizes = {{32, 32}, {64, 64}, {128, 128}, {320, 240}, {512, 512}, {640, 480}, {1024, 768}, {2048, 2048}, {1031, 1000}};
    const std::vector<int> types = {CV_8U, CV_16U, CV_32S, CV_32F, CV_64F};
    const size_t iterations = 1000;
    for(const cv::Size& size : sizes)
    {
      for(const int type : types)
      {
        for(int c = 0 ; c<2 ; ++c)
        {
          const bool continuous = !c;
          for(int i = 0 ; i<4 ; ++i)
          {
            cv::Mat m = continuous ? cv::Mat::zeros(size, type) : cv::Mat(cv::Mat::zeros(cv::Size(2*size.width, size.height), type), cv::Rect(cv::Point(0, 0), size));
            const bool nz = (i <= 2);
            const unsigned int nzOffsetRange = 10;
            const unsigned int nzOffset = cv::randu<unsigned int>()%nzOffsetRange;
            const cv::Point pos = 
              (i == 0) ? cv::Point(nzOffset, 0) :
              (i == 1) ? cv::Point(size.width/2-nzOffsetRange/2+nzOffset, size.height/2) :
              (i == 2) ? cv::Point(size.width-1-nzOffset, size.height-1) :
              cv::Point(0, 0);
            std::cout << "============================================================" << std::endl;
            std::cout << "size:" << size << "  type:" << type << "  continuous = " << (continuous ? "true" : "false") << "  iterations:" << iterations << "  nz=" << (nz ? "true" : "false");
            std::cout << "  pos=" << ((i == 0) ? "begin" : (i == 1) ? "middle" : (i == 2) ? "end" : "none");
            std::cout << std::endl;
            cv::Mat mask = cv::Mat::zeros(size, CV_8UC1);
            mask.at<unsigned char>(pos) = 0xFF;
            m.setTo(cv::Scalar::all(0));
            m.setTo(cv::Scalar::all(nz ? 1 : 0), mask);
            std::vector<bool> results;
            std::vector<double> timings;

            {
              bool res = false;
              auto ref = cv::getTickCount();
              for(size_t k = 0 ; k<iterations ; ++k)
                res = cv::hasNonZero(m);
              auto now = cv::getTickCount();
              const bool error = (res != nz);
              if (error)
                printf("!!ERROR!!\r\n");
              results.push_back(res);
              timings.push_back(1000.*(now-ref)/cv::getTickFrequency());
            }
            {
              bool res = false;
              auto ref = cv::getTickCount();
              for(size_t k = 0 ; k<iterations ; ++k)
                res = (cv::countNonZero(m)>0);
              auto now = cv::getTickCount();
              const bool error = (res != nz);
              if (error)
                printf("!!ERROR!!\r\n");
              results.push_back(res);
              timings.push_back(1000.*(now-ref)/cv::getTickFrequency());
            }

            const size_t bestTimingIndex = (std::min_element(timings.begin(), timings.end())-timings.begin());
            if ((bestTimingIndex != 0) || (std::find_if_not(results.begin(), results.end(), [&](bool r) {return (r == nz);}) != results.end()))
            {
              std::cout << "cv::hasNonZero\t\t=>" << results[0] << ((results[0] != nz) ? "  ERROR" : "") << "   perf:" << timings[0] << "ms => " << (iterations/timings[0]*1000) << " im/s" << ((bestTimingIndex == 0) ? " * " : "") << std::endl;
              std::cout << "cv::countNonZero\t=>" << results[1] << ((results[1] != nz) ? "  ERROR" : "") << "   perf:" << timings[1] << "ms => " << (iterations/timings[1]*1000) << " im/s" << ((bestTimingIndex == 1) ? " * " : "") << std::endl;
            }
          }
        }
      }
    }
  }

```

Here is a report of this benchmark (it only reports timings when `cv::countNonZero()` is faster)
My CPU is an Intel Core I7 4790 @ 3.60Ghz

```

============================================================
size:[32 x 32]  type:0  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[32 x 32]  type:0  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[32 x 32]  type:0  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[32 x 32]  type:0  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[32 x 32]  type:0  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[32 x 32]  type:0  continuous = false  iterations:1000  nz=true  pos=middle
cv::hasNonZero          =>1   perf:0.353764ms => 2.82674e+06 im/s
cv::countNonZero        =>1   perf:0.282044ms => 3.54555e+06 im/s *
============================================================
size:[32 x 32]  type:0  continuous = false  iterations:1000  nz=true  pos=end
cv::hasNonZero          =>1   perf:0.610478ms => 1.63806e+06 im/s
cv::countNonZero        =>1   perf:0.283182ms => 3.5313e+06 im/s *
============================================================
size:[32 x 32]  type:0  continuous = false  iterations:1000  nz=false  pos=none
cv::hasNonZero          =>0   perf:0.630115ms => 1.58701e+06 im/s
cv::countNonZero        =>0   perf:0.282044ms => 3.54555e+06 im/s *
============================================================
size:[32 x 32]  type:2  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[32 x 32]  type:2  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[32 x 32]  type:2  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[32 x 32]  type:2  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[32 x 32]  type:2  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[32 x 32]  type:2  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[32 x 32]  type:2  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[32 x 32]  type:2  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[32 x 32]  type:4  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[32 x 32]  type:4  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[32 x 32]  type:4  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[32 x 32]  type:4  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[32 x 32]  type:4  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[32 x 32]  type:4  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[32 x 32]  type:4  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[32 x 32]  type:4  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[32 x 32]  type:5  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[32 x 32]  type:5  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[32 x 32]  type:5  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[32 x 32]  type:5  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[32 x 32]  type:5  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[32 x 32]  type:5  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[32 x 32]  type:5  continuous = false  iterations:1000  nz=true  pos=end
cv::hasNonZero          =>1   perf:0.607347ms => 1.64651e+06 im/s
cv::countNonZero        =>1   perf:0.467037ms => 2.14116e+06 im/s *
============================================================
size:[32 x 32]  type:5  continuous = false  iterations:1000  nz=false  pos=none
cv::hasNonZero          =>0   perf:0.618162ms => 1.6177e+06 im/s
cv::countNonZero        =>0   perf:0.468175ms => 2.13595e+06 im/s *
============================================================
size:[32 x 32]  type:6  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[32 x 32]  type:6  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[32 x 32]  type:6  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[32 x 32]  type:6  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[32 x 32]  type:6  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[32 x 32]  type:6  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[32 x 32]  type:6  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[32 x 32]  type:6  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[64 x 64]  type:0  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[64 x 64]  type:0  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[64 x 64]  type:0  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[64 x 64]  type:0  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[64 x 64]  type:0  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[64 x 64]  type:0  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[64 x 64]  type:0  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[64 x 64]  type:0  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[64 x 64]  type:2  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[64 x 64]  type:2  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[64 x 64]  type:2  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[64 x 64]  type:2  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[64 x 64]  type:2  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[64 x 64]  type:2  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[64 x 64]  type:2  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[64 x 64]  type:2  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[64 x 64]  type:4  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[64 x 64]  type:4  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[64 x 64]  type:4  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[64 x 64]  type:4  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[64 x 64]  type:4  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[64 x 64]  type:4  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[64 x 64]  type:4  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[64 x 64]  type:4  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[64 x 64]  type:5  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[64 x 64]  type:5  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[64 x 64]  type:5  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[64 x 64]  type:5  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[64 x 64]  type:5  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[64 x 64]  type:5  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[64 x 64]  type:5  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[64 x 64]  type:5  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[64 x 64]  type:6  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[64 x 64]  type:6  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[64 x 64]  type:6  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[64 x 64]  type:6  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[64 x 64]  type:6  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[64 x 64]  type:6  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[64 x 64]  type:6  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[64 x 64]  type:6  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[128 x 128]  type:0  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[128 x 128]  type:0  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[128 x 128]  type:0  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[128 x 128]  type:0  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[128 x 128]  type:0  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[128 x 128]  type:0  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[128 x 128]  type:0  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[128 x 128]  type:0  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[128 x 128]  type:2  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[128 x 128]  type:2  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[128 x 128]  type:2  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[128 x 128]  type:2  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[128 x 128]  type:2  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[128 x 128]  type:2  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[128 x 128]  type:2  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[128 x 128]  type:2  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[128 x 128]  type:4  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[128 x 128]  type:4  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[128 x 128]  type:4  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[128 x 128]  type:4  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[128 x 128]  type:4  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[128 x 128]  type:4  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[128 x 128]  type:4  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[128 x 128]  type:4  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[128 x 128]  type:5  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[128 x 128]  type:5  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[128 x 128]  type:5  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[128 x 128]  type:5  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[128 x 128]  type:5  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[128 x 128]  type:5  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[128 x 128]  type:5  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[128 x 128]  type:5  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[128 x 128]  type:6  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[128 x 128]  type:6  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[128 x 128]  type:6  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[128 x 128]  type:6  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[128 x 128]  type:6  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[128 x 128]  type:6  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[128 x 128]  type:6  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[128 x 128]  type:6  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[320 x 240]  type:0  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[320 x 240]  type:0  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[320 x 240]  type:0  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[320 x 240]  type:0  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[320 x 240]  type:0  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[320 x 240]  type:0  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[320 x 240]  type:0  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[320 x 240]  type:0  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[320 x 240]  type:2  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[320 x 240]  type:2  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[320 x 240]  type:2  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[320 x 240]  type:2  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[320 x 240]  type:2  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[320 x 240]  type:2  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[320 x 240]  type:2  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[320 x 240]  type:2  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[320 x 240]  type:4  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[320 x 240]  type:4  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[320 x 240]  type:4  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[320 x 240]  type:4  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[320 x 240]  type:4  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[320 x 240]  type:4  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[320 x 240]  type:4  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[320 x 240]  type:4  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[320 x 240]  type:5  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[320 x 240]  type:5  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[320 x 240]  type:5  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[320 x 240]  type:5  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[320 x 240]  type:5  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[320 x 240]  type:5  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[320 x 240]  type:5  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[320 x 240]  type:5  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[320 x 240]  type:6  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[320 x 240]  type:6  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[320 x 240]  type:6  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[320 x 240]  type:6  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[320 x 240]  type:6  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[320 x 240]  type:6  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[320 x 240]  type:6  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[320 x 240]  type:6  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[512 x 512]  type:0  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[512 x 512]  type:0  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[512 x 512]  type:0  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[512 x 512]  type:0  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[512 x 512]  type:0  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[512 x 512]  type:0  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[512 x 512]  type:0  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[512 x 512]  type:0  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[512 x 512]  type:2  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[512 x 512]  type:2  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[512 x 512]  type:2  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[512 x 512]  type:2  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[512 x 512]  type:2  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[512 x 512]  type:2  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[512 x 512]  type:2  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[512 x 512]  type:2  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[512 x 512]  type:4  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[512 x 512]  type:4  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[512 x 512]  type:4  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[512 x 512]  type:4  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[512 x 512]  type:4  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[512 x 512]  type:4  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[512 x 512]  type:4  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[512 x 512]  type:4  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[512 x 512]  type:5  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[512 x 512]  type:5  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[512 x 512]  type:5  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[512 x 512]  type:5  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[512 x 512]  type:5  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[512 x 512]  type:5  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[512 x 512]  type:5  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[512 x 512]  type:5  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[512 x 512]  type:6  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[512 x 512]  type:6  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[512 x 512]  type:6  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[512 x 512]  type:6  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[512 x 512]  type:6  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[512 x 512]  type:6  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[512 x 512]  type:6  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[512 x 512]  type:6  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[640 x 480]  type:0  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[640 x 480]  type:0  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[640 x 480]  type:0  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[640 x 480]  type:0  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[640 x 480]  type:0  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[640 x 480]  type:0  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[640 x 480]  type:0  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[640 x 480]  type:0  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[640 x 480]  type:2  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[640 x 480]  type:2  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[640 x 480]  type:2  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[640 x 480]  type:2  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[640 x 480]  type:2  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[640 x 480]  type:2  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[640 x 480]  type:2  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[640 x 480]  type:2  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[640 x 480]  type:4  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[640 x 480]  type:4  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[640 x 480]  type:4  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[640 x 480]  type:4  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[640 x 480]  type:4  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[640 x 480]  type:4  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[640 x 480]  type:4  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[640 x 480]  type:4  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[640 x 480]  type:5  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[640 x 480]  type:5  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[640 x 480]  type:5  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[640 x 480]  type:5  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[640 x 480]  type:5  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[640 x 480]  type:5  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[640 x 480]  type:5  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[640 x 480]  type:5  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[640 x 480]  type:6  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[640 x 480]  type:6  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[640 x 480]  type:6  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[640 x 480]  type:6  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[640 x 480]  type:6  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[640 x 480]  type:6  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[640 x 480]  type:6  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[640 x 480]  type:6  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[1024 x 768]  type:0  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[1024 x 768]  type:0  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[1024 x 768]  type:0  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[1024 x 768]  type:0  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[1024 x 768]  type:0  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[1024 x 768]  type:0  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[1024 x 768]  type:0  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[1024 x 768]  type:0  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[1024 x 768]  type:2  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[1024 x 768]  type:2  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[1024 x 768]  type:2  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[1024 x 768]  type:2  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[1024 x 768]  type:2  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[1024 x 768]  type:2  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[1024 x 768]  type:2  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[1024 x 768]  type:2  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[1024 x 768]  type:4  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[1024 x 768]  type:4  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[1024 x 768]  type:4  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[1024 x 768]  type:4  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[1024 x 768]  type:4  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[1024 x 768]  type:4  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[1024 x 768]  type:4  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[1024 x 768]  type:4  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[1024 x 768]  type:5  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[1024 x 768]  type:5  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[1024 x 768]  type:5  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[1024 x 768]  type:5  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[1024 x 768]  type:5  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[1024 x 768]  type:5  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[1024 x 768]  type:5  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[1024 x 768]  type:5  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[1024 x 768]  type:6  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[1024 x 768]  type:6  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[1024 x 768]  type:6  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[1024 x 768]  type:6  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[1024 x 768]  type:6  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[1024 x 768]  type:6  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[1024 x 768]  type:6  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[1024 x 768]  type:6  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[2048 x 2048]  type:0  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[2048 x 2048]  type:0  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[2048 x 2048]  type:0  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[2048 x 2048]  type:0  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[2048 x 2048]  type:0  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[2048 x 2048]  type:0  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[2048 x 2048]  type:0  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[2048 x 2048]  type:0  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[2048 x 2048]  type:2  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[2048 x 2048]  type:2  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[2048 x 2048]  type:2  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[2048 x 2048]  type:2  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[2048 x 2048]  type:2  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[2048 x 2048]  type:2  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[2048 x 2048]  type:2  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[2048 x 2048]  type:2  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[2048 x 2048]  type:4  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[2048 x 2048]  type:4  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[2048 x 2048]  type:4  continuous = true  iterations:1000  nz=true  pos=end
cv::hasNonZero          =>1   perf:895.381ms => 1116.84 im/s
cv::countNonZero        =>1   perf:882.569ms => 1133.06 im/s *
============================================================
size:[2048 x 2048]  type:4  continuous = true  iterations:1000  nz=false  pos=none
cv::hasNonZero          =>0   perf:899.53ms => 1111.69 im/s
cv::countNonZero        =>0   perf:870.894ms => 1148.24 im/s *
============================================================
size:[2048 x 2048]  type:4  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[2048 x 2048]  type:4  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[2048 x 2048]  type:4  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[2048 x 2048]  type:4  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[2048 x 2048]  type:5  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[2048 x 2048]  type:5  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[2048 x 2048]  type:5  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[2048 x 2048]  type:5  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[2048 x 2048]  type:5  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[2048 x 2048]  type:5  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[2048 x 2048]  type:5  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[2048 x 2048]  type:5  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[2048 x 2048]  type:6  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[2048 x 2048]  type:6  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[2048 x 2048]  type:6  continuous = true  iterations:1000  nz=true  pos=end
cv::hasNonZero          =>1   perf:2018.92ms => 495.313 im/s
cv::countNonZero        =>1   perf:1966.37ms => 508.552 im/s *
============================================================
size:[2048 x 2048]  type:6  continuous = true  iterations:1000  nz=false  pos=none
cv::hasNonZero          =>0   perf:2005.87ms => 498.537 im/s
cv::countNonZero        =>0   perf:1992.78ms => 501.812 im/s *
============================================================
size:[2048 x 2048]  type:6  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[2048 x 2048]  type:6  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[2048 x 2048]  type:6  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[2048 x 2048]  type:6  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[1031 x 1000]  type:0  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[1031 x 1000]  type:0  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[1031 x 1000]  type:0  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[1031 x 1000]  type:0  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[1031 x 1000]  type:0  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[1031 x 1000]  type:0  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[1031 x 1000]  type:0  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[1031 x 1000]  type:0  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[1031 x 1000]  type:2  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[1031 x 1000]  type:2  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[1031 x 1000]  type:2  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[1031 x 1000]  type:2  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[1031 x 1000]  type:2  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[1031 x 1000]  type:2  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[1031 x 1000]  type:2  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[1031 x 1000]  type:2  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[1031 x 1000]  type:4  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[1031 x 1000]  type:4  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[1031 x 1000]  type:4  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[1031 x 1000]  type:4  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[1031 x 1000]  type:4  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[1031 x 1000]  type:4  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[1031 x 1000]  type:4  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[1031 x 1000]  type:4  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[1031 x 1000]  type:5  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[1031 x 1000]  type:5  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[1031 x 1000]  type:5  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[1031 x 1000]  type:5  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[1031 x 1000]  type:5  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[1031 x 1000]  type:5  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[1031 x 1000]  type:5  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[1031 x 1000]  type:5  continuous = false  iterations:1000  nz=false  pos=none
============================================================
size:[1031 x 1000]  type:6  continuous = true  iterations:1000  nz=true  pos=begin
============================================================
size:[1031 x 1000]  type:6  continuous = true  iterations:1000  nz=true  pos=middle
============================================================
size:[1031 x 1000]  type:6  continuous = true  iterations:1000  nz=true  pos=end
============================================================
size:[1031 x 1000]  type:6  continuous = true  iterations:1000  nz=false  pos=none
============================================================
size:[1031 x 1000]  type:6  continuous = false  iterations:1000  nz=true  pos=begin
============================================================
size:[1031 x 1000]  type:6  continuous = false  iterations:1000  nz=true  pos=middle
============================================================
size:[1031 x 1000]  type:6  continuous = false  iterations:1000  nz=true  pos=end
============================================================
size:[1031 x 1000]  type:6  continuous = false  iterations:1000  nz=false  pos=none
done

```
2023-06-09 13:37:20 +03:00
Dmitry Kurtaev
380caa1a87
Merge pull request #23691 from dkurt:pycv_float16_fixes
Import and export np.float16 in Python #23691

### Pull Request Readiness Checklist

* Also, fixes `cv::norm` with `NORM_INF` and `CV_16F`

resolves https://github.com/opencv/opencv/issues/23687

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-05-26 18:56:21 +03:00
Alexander Smorkalov
65487946cc Added final constrants check to solveLP to filter out flating-point numeric issues. 2023-05-25 17:29:01 +03:00
Dmitry Kurtaev
4823285b55
Merge pull request #23679 from dkurt:py_cv_type_macro
Python bindings for CV_8UC(n) and other types macros #23679

### Pull Request Readiness Checklist

resolves https://github.com/opencv/opencv/issues/23628#issuecomment-1562468327

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-05-25 15:54:41 +03:00
Dmitry Kurtaev
29b2f77b5f
Merge pull request #23674 from dkurt:py_cv_maketype
CV_MAKETYPE Python binding #23674 

### Pull Request Readiness Checklist

resolves https://github.com/opencv/opencv/issues/23628

```python
import cv2 as cv

t = cv.CV_MAKETYPE(cv.CV_32F, 4)
```

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-05-25 09:45:22 +03:00
Alexander Smorkalov
d4861bfd1f Merge remote-tracking branch 'origin/3.4' into merge-3.4 2023-05-24 14:37:48 +03:00
cudawarped
7539abecdb cuda: add python bindings to allow GpuMat and Stream objects to be initialized from raw pointers 2023-05-22 11:02:04 +03:00
Alexander Smorkalov
4eec739624 Build warning fix on Windows for Eigen wrapper. 2023-05-17 10:12:02 +03:00
Alexander Smorkalov
05084aa63e Restored Java bindings for CPU features management. 2023-05-16 18:04:09 +03:00
Alexander Alekhin
04d71da6e7 Merge pull request #23566 from seanm:atomic-bool 2023-05-16 10:46:59 +00:00
n0099
868787c364
Merge pull request #23342 from n0099:#23335
Improve document of cv::RotatedRect for #23335 #23342

fix #23335

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-05-03 14:15:53 +03:00
Sean McBride
27e10efa66 Use std::atomic<bool> as it's necessary for correct thread safety
Now that C++11 is required, we can unconditionally use std::atomic in this case, which is more correct.
2023-05-01 16:44:34 -04:00
Pierre Chatelier
6dd8a9b6ad
Merge pull request #13879 from chacha21:REDUCE_SUM2
add REDUCE_SUM2 #13879 

proposal to add REDUCE_SUM2 to cv::reduce, an operation that sums up the square of elements
2023-04-28 20:42:52 +03:00
Laurent Berger
23b819efb8
Merge pull request #23555 from LaurentBerger:doc_format
don't ignore documentation for cv::format in doxygen #23555 

Issue https://github.com/opencv/opencv/issues/23553

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work issue
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-04-28 15:24:07 +03:00
Sean McBride
58e4a880a2 Deprecated convertTypeStr and made new variant that also takes the buffer size
This allows removing the unsafe sprintf.
2023-04-26 09:48:15 -04:00
Giles Payne
38e35d5137 Fix ocl::device::isIntel implementation 2023-04-24 22:01:53 +09:00
Alexander Smorkalov
a4a9f56c8b
Merge pull request #23513 from komakai:fix_unrecognized_selector
Fix "unrecognized selector" issue in Objective-C/Swift bindings
2023-04-24 11:29:41 +03:00
Alexander Smorkalov
e4a29d93fe Merge remote-tracking branch 'origin/3.4' into merge-3.4 2023-04-21 10:55:04 +03:00
Giles Payne
cfa5a270d3 Refactor Mat Converters and Mat QuickLook functionality to avoid "unrecognized selector" error 2023-04-18 21:09:55 +09:00
Sean McBride
47bea69322
Merge pull request #23055 from seanm:sprintf2
* Replaced most remaining sprintf with snprintf
* Deprecated encodeFormat and introduced new method that takes the buffer length
* Also increased buffer size at call sites to be a little bigger, in case int is 64 bit
2023-04-18 09:22:59 +03:00
Alexander Smorkalov
3f02c9d5b9
Merge pull request #23310 from hanliutong:fix_hal_compatibility
Fix HAL compatibility layer
2023-04-11 12:43:54 +03:00
Alexander Alekhin
daf9de7463 Merge pull request #23383 from mshabunin:rvv-scalable-gcc 2023-04-10 13:35:43 +00:00
Alexander Smorkalov
f5a92cb43f
Merge pull request #22889 from D-Alex:patch-1
core: improve doc for setNumThreads
2023-04-07 16:37:40 +03:00
Alexander Smorkalov
3bcc3e70f1 Extended setNumThreads documentation according to code review. 2023-04-07 13:56:57 +03:00
eplankin
fd8b346c3e
Merge pull request #23443 from eplankin:3.4
* Update IPPICV binaries (20230330)

* Revert "core(IPP): disable some ippsMagnitude_32f calls"

This reverts commit 8069a6b4f8.

* Reverted changes in norm() and count_non_zero()
2023-04-07 09:14:42 +00:00
Maksim Shabunin
b12c14514a RISC-V: allow building scalable RVV support with GCC, LLVM 16 support 2023-04-05 14:18:58 +03:00
HAN Liutong
a809ae4e88 Fix HAL compatibility layer and modify use cases. 2023-03-27 21:30:47 +08:00
unknown
ee302b063f Typo in enum cv::QuatEnum::EulerAnglesType 2023-03-24 14:03:14 +01:00
Alexander Smorkalov
36a03dbdbf
Merge pull request #23307 from alalek:simd_comparison_fix_misused_64f_guard
core(simd): 64-bit integer EQ/NE without misused 64F guard
2023-03-24 12:46:18 +03:00
Christian Henkel
c9e42c5050 two typos 2023-03-22 09:17:41 +03:00
Alexey Shtern
c6e5f60525
Merge pull request #23301 from shtern:fix_quaternion
Fixed strict type in slerp and spline; Fixed nlerp usage condition

Fixes #23293

The PR is fixing the issue described in [Issue #23293 ](https://github.com/opencv/opencv/issues/23293)

- [X] I agree to contribute to the project under Apache 2 License.
- [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [X] There is a reference to the original bug report and related work
- [X] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [X] The feature is well documented and sample code can be built with the project CMake
2023-03-10 11:37:43 +03:00
Alexander Alekhin
fe59a5695f core(simd): 64-bit integer EQ/NE without misused 64F guard 2023-02-27 19:51:55 +00:00
Maksim Shabunin
903ec0ec60 RISC-V: support RVV 0.7 in mainline RVV intrinsics 2023-02-17 18:17:11 +03:00
Alexander Alekhin
47293f28cf Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2023-02-11 18:35:00 +00:00
Yannis Guyon
56102737d7
Merge pull request #23131 from y-guyon:align_ptr_intrin_sse
Fix misaligned-pointer-use in intrin_sse.hpp

* Fix misaligned-pointer-use in intrin_sse.hpp

* Use _mm_loadu_si32() instead of memcpy()

* Use CV_DECL_ALIGNED instead of _mm_loadu_si32()
2023-02-10 22:46:21 +00:00
Alexander Alekhin
44290af516 Merge pull request #23224 from VadimLevin:dev/vlevin/cxx-named-arguments 2023-02-08 17:31:30 +00:00
Maksim Shabunin
e4acd74e87 Fix some clang 14 warnings 2023-02-07 01:19:00 +03:00
Vadim Levin
b07031b594 feat: named arguments handling in Python interface 2023-02-06 22:14:58 +03:00
Tinson Lai
f8f425e34c
Change custom_hal.hpp output location 2023-02-03 18:21:15 +08:00
Maksim Shabunin
9efaa3cce7 RISC-V/RVV 0.7: v_add/v_sub saturation and avoiding 64-bit register in v_check_ 2023-01-30 23:25:53 +03:00
Alexander Alekhin
d3ae175bca Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2023-01-28 10:01:23 +00:00
Yannis Guyon
bf29a4d746 Avoid double-checked locking with TSAN in parallel
Omit the first check of the double-checked locking pattern in
recordException() in parallel.cpp when CV_THREAD_SANITIZER is defined.
This should only slow recordException() down when the thread sanitizer
is used, and avoids the TSAN data race warning.
2023-01-27 13:36:33 +01:00
Alexander Alekhin
18cbfa4a4f Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2023-01-23 00:11:12 +00:00
Rostislav Vasilikhin
f3a03aefad cvIsInf(double) fix + regression test 2023-01-17 23:06:39 +01:00
Maksim Shabunin
c1e5c16ff3 Backport C-API cleanup (imgproc) from 5.x 2023-01-16 23:29:50 +03:00
Yuantao Feng
c63d79c5b1
Merge pull request #23095 from fengyuentau:fix_omp_macos
* fix openmp include and link issue on macos

* turn off have_openmp if OpenMP_CXX_INCLUDE_DIRS is empty

* test commit

* use condition HAVE_OPENMP and OpenMP_CXX_LIBRARIES for linking

* remove trailing whitespace

* remove notes

* update conditions

* use OpenMP_CXX_LIBRARIES for linking
2023-01-16 12:44:13 +03:00
Xxfore
ef0fcb9238
Merge pull request #22938 from Xxfore:4.x
Use reinterpret instead of c-style casting for GCC

Co-authored-by: Xu Zhang <xu.zhang@hexintek.com>
Co-authored-by: Maksim Shabunin <maksim.shabunin@gmail.com>
2023-01-11 14:11:16 +00:00
Yang Chao
e0aa677388 Open CV_CPU_NEON_DOTPROD on Apple silicon devices 2023-01-09 19:27:35 +08:00
Alexander Alekhin
9208dcb07c Merge tag '4.7.0' 2022-12-28 15:23:46 +00:00
Alexander Smorkalov
725e440d27 release: OpenCV 4.7.0 2022-12-28 17:31:52 +03:00
Alexander Alekhin
eab7faf536 Merge tag '3.4.19' 2022-12-27 08:41:49 +00:00
Alexander Alekhin
83391ac59d release: OpenCV 3.4.19 2022-12-27 03:50:12 +00:00
cudawarped
692d6168b3 cuda: fix CUDA 12.0 build errors 2022-12-26 15:25:29 +02:00
Alexander Alekhin
b42c11de82 pre: OpenCV 4.7.0 (version++) 2022-12-25 17:00:22 +00:00
Alexander Alekhin
a494c75bfe pre: OpenCV 3.4.19 (version++) 2022-12-25 16:59:47 +00:00
Alexander Alekhin
bc8c912c7a Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2022-12-24 13:54:58 +00:00
fengyuentau
34a0897f90 add cv::flipND; support onnx slice with negative steps via cv::flipND 2022-12-23 16:39:53 +08:00
Alexander Smorkalov
279e2be56b
Merge pull request #22963 from cudawarped:replace_texture_ref_with_texture_obj
Replace all instances of CUDA texture references with texture objects
2022-12-20 15:07:10 +03:00
Alexander Alekhin
da43778c1f Merge pull request #22981 from alalek:core_freeze_cache_dir_prefix_4.x 2022-12-19 17:29:57 +00:00
cudawarped
9aa5ab7557 cv::cuda: Replace all instances of texture references/objects with texture objects using the existing updated cv::cudev::Texture class.
Fixes bugs in cv::cuda::demosaicing, cv::cuda::resize and cv::cuda::HoughSegmentDetector.
2022-12-19 19:28:15 +02:00
Vincent Rabaud
7463e9b8bb Even faster CV_PAUSE on SkyLake and above.
No need to loop as RDTSC is 3/4 times faster than _mm_pause.
2022-12-19 14:15:34 +01:00
Alexander Alekhin
420db56ffd Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2022-12-18 02:17:17 +00:00
Alexander Alekhin
4824ce300f core: freeze cache directory prefix - "4.x" 2022-12-18 00:24:52 +00:00
Alexander Alekhin
eace6adb6d Merge pull request #22934 from alalek:fix_filestorage_binding 2022-12-17 03:28:13 +00:00
Alexander Alekhin
6e3700593f compatibility: keep Ptr<FileStorage> stubs till OpenCV 5.0 2022-12-16 00:47:44 +00:00
Alexander Alekhin
6a8c5a1d27 python: resolve Ptr<FileStorage> requirement issue 2022-12-16 00:47:44 +00:00
Vincent Rabaud
b7b08fa0c3 Fix slower CV_PAUSE on SkyLake and above.
This is fixing https://github.com/opencv/opencv/issues/22852
2022-12-15 14:18:57 +01:00
Sergei Shutov
8bd17163c7
Merge pull request #22939 from stopmosk:21826-python-bindings-for-videocapturewaitany
Add Python bindings for VideoCapture::waitAny #21826

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2022-12-14 22:15:02 +03:00
Vadim Levin
3f5f09e730 fix: add _ suffix to properties having reserved keyword names 2022-12-13 20:56:39 +03:00
Alexander Smorkalov
1788c93aea
Merge pull request #22924 from alalek:logger_strip_base_dir
core(logger): strip opencv's modules base path
2022-12-13 15:28:10 +03:00
Alexander Alekhin
4203c903f8 Merge pull request #22928 from alalek:riscv_toolchains 2022-12-13 06:32:16 +00:00
Alexander Alekhin
c725771e11 build(riscv): suppress massive -Wignored-attributes warnings 2022-12-11 17:10:00 +00:00
Alexander Alekhin
be326ff752 build: fix/eliminate MSVC warnings 2022-12-10 12:19:31 +00:00
Alexander Alekhin
941d89e06d cmake: fix RISC-V toolchains
- RVV options are moved to configuration scripts instead of toolchains
2022-12-09 12:02:28 +00:00
Alexander Alekhin
7e3c53b9d3 core(logger): strip path prefix 2022-12-07 23:58:36 +00:00
Alexander Alekhin
c5a4df30c6 risc-v: fix RVV backend on clang with undefined CV_RVV_SCALABLE
- v_interleave_quads
- v_pack_triplets
- v_signmask
2022-12-06 13:49:05 +00:00
Alexander Alekhin
b16f76eede Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2022-12-03 12:39:41 +00:00
Christine Poerschke
4792837f2e
Merge pull request #22865 from cpoerschke:3.4-issue-22860
ocl_minMaxIdx to call minmaxloc.cl for OpenCL 1.2+ only
2022-12-03 05:29:04 +00:00
Alexander Smorkalov
5696629b13
Merge pull request #22594 from ZhaoChuyang:pr_test_for_22253
add test for PR #22253
2022-12-01 13:47:32 +03:00
Vadim Levin
3a15152be5 refactor: rework test to be more specific 2022-11-30 18:31:03 +03:00
Alexander Duda
2eb7bf4cfa
core: improve doc for setNumThreads
The old documentation implies that the call is only valid for the next parallel region and must be called again if addtional regions should be affected as well.
2022-11-30 11:37:35 +01:00
Alexander Alekhin
77d887898d Merge pull request #22875 from asmorkalov:as/cl_error_code_fix 2022-11-28 19:05:59 +00:00
HAN Liutong
a32f2cd24a
Merge pull request #22520 from hanliutong:hsv
Modify the SIMD loop in color_hsv.

* Modify the SIMD loops in color_hsv.

* Add FP supporting in bit logic.

* Add temporary compatibility code.

* Use max_nlanes instead of vlanes for array declaration.

* Use "CV_SIMD || CV_SIMD_SCALABLE".

* Revert the modify of the Universal Intrinsic API

* Fix warnings.

* Use v_select instead of bits manipulation.
2022-11-28 18:28:14 +00:00
Alexander Smorkalov
1c3e287d32 More fixes for OpenCL error reporting. 2022-11-28 09:47:51 +03:00
Alexander Smorkalov
7622fbf895 Fixed OpenGL errors formatting. 2022-11-25 16:46:12 +03:00
Amir Hassan
3f371fe2dd
Merge pull request #22855 from kallaballa:print_cl_status_on_fail
Print CL status code on error in opengl interop functions
2022-11-25 09:13:57 +03:00
Alexander Alekhin
5d14cc68b7 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2022-11-16 16:54:11 +00:00
Alexander Alekhin
54531f8e3b core: support CV_Check*() macros with 'bool' parameters 2022-11-15 11:47:16 +00:00
Alexander Smorkalov
778faddbd8
Merge pull request #22463 from hanliutong:rvv
Redesign the SIMD macro.
2022-10-27 14:16:03 +03:00
HAN Liutong
5462a6be6e Update SIMD macro for RVV backend. 2022-10-26 13:02:03 +00:00
Alexander Smorkalov
a60496f9df
Merge pull request #22633 from cudawarped:fix_3361
Reset cuda runtime error code to cudasuccess on runtime failure.
2022-10-26 15:48:06 +03:00
Alexander Alekhin
762481411d Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2022-10-15 16:44:47 +00:00
Hyunggi Chang
085fb78e85 fix typo (portatibility -> portability) 2022-10-13 21:39:52 +00:00
Alexander Alekhin
2763f988da Merge pull request #22526 from paroj:pyrect 2022-10-13 11:46:28 +00:00
cudawarped
f89dee4f3e Reset cuda error code to cudasuccess. 2022-10-13 10:15:40 +03:00
Pavel Rojtberg
35f43cc429 core: expose rectangle intersection to bindings 2022-10-12 14:08:12 +02:00
Alexander Alekhin
347246901e Merge pull request #21745 from alalek:dnn_plugin_openvino 2022-10-08 22:32:25 +00:00