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
004801f1c5
Merge remote-tracking branch 'origin/3.4' into merge-3.4
2023-06-20 09:56:57 +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
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size:[32 x 32] type:6 continuous = false iterations:1000 nz=true pos=begin
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size:[32 x 32] type:6 continuous = false iterations:1000 nz=true pos=middle
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size:[32 x 32] type:6 continuous = false iterations:1000 nz=true pos=end
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size:[32 x 32] type:6 continuous = false iterations:1000 nz=false pos=none
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size:[64 x 64] type:0 continuous = true iterations:1000 nz=true pos=begin
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size:[64 x 64] type:0 continuous = true iterations:1000 nz=true pos=middle
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size:[64 x 64] type:0 continuous = true iterations:1000 nz=true pos=end
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size:[64 x 64] type:0 continuous = true iterations:1000 nz=false pos=none
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size:[64 x 64] type:0 continuous = false iterations:1000 nz=true pos=begin
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size:[64 x 64] type:0 continuous = false iterations:1000 nz=true pos=middle
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size:[64 x 64] type:0 continuous = false iterations:1000 nz=true pos=end
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size:[64 x 64] type:0 continuous = false iterations:1000 nz=false pos=none
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size:[64 x 64] type:2 continuous = true iterations:1000 nz=true pos=begin
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size:[64 x 64] type:2 continuous = true iterations:1000 nz=true pos=middle
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size:[64 x 64] type:2 continuous = true iterations:1000 nz=true pos=end
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size:[64 x 64] type:2 continuous = true iterations:1000 nz=false pos=none
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size:[64 x 64] type:2 continuous = false iterations:1000 nz=true pos=begin
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size:[64 x 64] type:2 continuous = false iterations:1000 nz=true pos=middle
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size:[64 x 64] type:2 continuous = false iterations:1000 nz=true pos=end
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size:[64 x 64] type:2 continuous = false iterations:1000 nz=false pos=none
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size:[64 x 64] type:4 continuous = true iterations:1000 nz=true pos=begin
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size:[64 x 64] type:4 continuous = true iterations:1000 nz=true pos=middle
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size:[64 x 64] type:4 continuous = true iterations:1000 nz=true pos=end
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size:[64 x 64] type:4 continuous = true iterations:1000 nz=false pos=none
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size:[64 x 64] type:4 continuous = false iterations:1000 nz=true pos=begin
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size:[64 x 64] type:4 continuous = false iterations:1000 nz=true pos=middle
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size:[64 x 64] type:4 continuous = false iterations:1000 nz=true pos=end
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size:[64 x 64] type:4 continuous = false iterations:1000 nz=false pos=none
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size:[64 x 64] type:5 continuous = true iterations:1000 nz=true pos=begin
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size:[64 x 64] type:5 continuous = true iterations:1000 nz=true pos=middle
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size:[64 x 64] type:5 continuous = true iterations:1000 nz=true pos=end
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size:[64 x 64] type:5 continuous = true iterations:1000 nz=false pos=none
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size:[64 x 64] type:5 continuous = false iterations:1000 nz=true pos=begin
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size:[64 x 64] type:5 continuous = false iterations:1000 nz=true pos=middle
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size:[64 x 64] type:5 continuous = false iterations:1000 nz=true pos=end
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size:[64 x 64] type:5 continuous = false iterations:1000 nz=false pos=none
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size:[64 x 64] type:6 continuous = true iterations:1000 nz=true pos=begin
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size:[64 x 64] type:6 continuous = true iterations:1000 nz=true pos=middle
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size:[64 x 64] type:6 continuous = true iterations:1000 nz=true pos=end
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size:[64 x 64] type:6 continuous = true iterations:1000 nz=false pos=none
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size:[64 x 64] type:6 continuous = false iterations:1000 nz=true pos=begin
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size:[64 x 64] type:6 continuous = false iterations:1000 nz=true pos=middle
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size:[64 x 64] type:6 continuous = false iterations:1000 nz=true pos=end
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size:[64 x 64] type:6 continuous = false iterations:1000 nz=false pos=none
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size:[128 x 128] type:0 continuous = true iterations:1000 nz=true pos=begin
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size:[128 x 128] type:0 continuous = true iterations:1000 nz=true pos=middle
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size:[128 x 128] type:0 continuous = true iterations:1000 nz=true pos=end
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size:[128 x 128] type:0 continuous = true iterations:1000 nz=false pos=none
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size:[128 x 128] type:0 continuous = false iterations:1000 nz=true pos=begin
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size:[128 x 128] type:0 continuous = false iterations:1000 nz=true pos=middle
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size:[128 x 128] type:0 continuous = false iterations:1000 nz=true pos=end
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size:[128 x 128] type:0 continuous = false iterations:1000 nz=false pos=none
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size:[128 x 128] type:2 continuous = true iterations:1000 nz=true pos=begin
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size:[128 x 128] type:2 continuous = true iterations:1000 nz=true pos=middle
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size:[128 x 128] type:2 continuous = true iterations:1000 nz=true pos=end
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size:[128 x 128] type:2 continuous = true iterations:1000 nz=false pos=none
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size:[128 x 128] type:2 continuous = false iterations:1000 nz=true pos=begin
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size:[128 x 128] type:2 continuous = false iterations:1000 nz=true pos=middle
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size:[128 x 128] type:2 continuous = false iterations:1000 nz=true pos=end
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size:[128 x 128] type:2 continuous = false iterations:1000 nz=false pos=none
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size:[128 x 128] type:4 continuous = true iterations:1000 nz=true pos=begin
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size:[128 x 128] type:4 continuous = true iterations:1000 nz=true pos=middle
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size:[128 x 128] type:4 continuous = true iterations:1000 nz=true pos=end
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size:[128 x 128] type:4 continuous = true iterations:1000 nz=false pos=none
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size:[128 x 128] type:4 continuous = false iterations:1000 nz=true pos=begin
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size:[128 x 128] type:4 continuous = false iterations:1000 nz=true pos=middle
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size:[128 x 128] type:4 continuous = false iterations:1000 nz=true pos=end
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size:[128 x 128] type:4 continuous = false iterations:1000 nz=false pos=none
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size:[128 x 128] type:5 continuous = true iterations:1000 nz=true pos=begin
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size:[128 x 128] type:5 continuous = true iterations:1000 nz=true pos=middle
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size:[128 x 128] type:5 continuous = true iterations:1000 nz=true pos=end
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size:[128 x 128] type:5 continuous = true iterations:1000 nz=false pos=none
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size:[128 x 128] type:5 continuous = false iterations:1000 nz=true pos=begin
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size:[128 x 128] type:5 continuous = false iterations:1000 nz=true pos=middle
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size:[128 x 128] type:5 continuous = false iterations:1000 nz=true pos=end
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size:[128 x 128] type:5 continuous = false iterations:1000 nz=false pos=none
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size:[128 x 128] type:6 continuous = true iterations:1000 nz=true pos=begin
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size:[128 x 128] type:6 continuous = true iterations:1000 nz=true pos=middle
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size:[128 x 128] type:6 continuous = true iterations:1000 nz=true pos=end
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size:[128 x 128] type:6 continuous = true iterations:1000 nz=false pos=none
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size:[128 x 128] type:6 continuous = false iterations:1000 nz=true pos=begin
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size:[128 x 128] type:6 continuous = false iterations:1000 nz=true pos=middle
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size:[128 x 128] type:6 continuous = false iterations:1000 nz=true pos=end
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size:[128 x 128] type:6 continuous = false iterations:1000 nz=false pos=none
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size:[320 x 240] type:0 continuous = true iterations:1000 nz=true pos=begin
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size:[320 x 240] type:0 continuous = true iterations:1000 nz=true pos=middle
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size:[320 x 240] type:0 continuous = true iterations:1000 nz=true pos=end
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size:[320 x 240] type:0 continuous = true iterations:1000 nz=false pos=none
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size:[320 x 240] type:0 continuous = false iterations:1000 nz=true pos=begin
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size:[320 x 240] type:0 continuous = false iterations:1000 nz=true pos=middle
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size:[320 x 240] type:0 continuous = false iterations:1000 nz=true pos=end
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size:[320 x 240] type:0 continuous = false iterations:1000 nz=false pos=none
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size:[320 x 240] type:2 continuous = true iterations:1000 nz=true pos=begin
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size:[320 x 240] type:2 continuous = true iterations:1000 nz=true pos=middle
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size:[320 x 240] type:2 continuous = true iterations:1000 nz=true pos=end
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size:[320 x 240] type:2 continuous = true iterations:1000 nz=false pos=none
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size:[320 x 240] type:2 continuous = false iterations:1000 nz=true pos=begin
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size:[320 x 240] type:2 continuous = false iterations:1000 nz=true pos=middle
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size:[320 x 240] type:2 continuous = false iterations:1000 nz=true pos=end
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size:[320 x 240] type:2 continuous = false iterations:1000 nz=false pos=none
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size:[320 x 240] type:4 continuous = true iterations:1000 nz=true pos=begin
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size:[320 x 240] type:4 continuous = true iterations:1000 nz=true pos=middle
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size:[320 x 240] type:4 continuous = true iterations:1000 nz=true pos=end
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size:[320 x 240] type:4 continuous = true iterations:1000 nz=false pos=none
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size:[320 x 240] type:4 continuous = false iterations:1000 nz=true pos=begin
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size:[320 x 240] type:4 continuous = false iterations:1000 nz=true pos=middle
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size:[320 x 240] type:4 continuous = false iterations:1000 nz=true pos=end
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size:[320 x 240] type:4 continuous = false iterations:1000 nz=false pos=none
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size:[320 x 240] type:5 continuous = true iterations:1000 nz=true pos=begin
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size:[320 x 240] type:5 continuous = true iterations:1000 nz=true pos=middle
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size:[320 x 240] type:5 continuous = true iterations:1000 nz=true pos=end
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size:[320 x 240] type:5 continuous = true iterations:1000 nz=false pos=none
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size:[320 x 240] type:5 continuous = false iterations:1000 nz=true pos=begin
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size:[320 x 240] type:5 continuous = false iterations:1000 nz=true pos=middle
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size:[320 x 240] type:5 continuous = false iterations:1000 nz=true pos=end
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size:[320 x 240] type:5 continuous = false iterations:1000 nz=false pos=none
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size:[320 x 240] type:6 continuous = true iterations:1000 nz=true pos=begin
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size:[320 x 240] type:6 continuous = true iterations:1000 nz=true pos=middle
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size:[320 x 240] type:6 continuous = true iterations:1000 nz=true pos=end
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size:[320 x 240] type:6 continuous = true iterations:1000 nz=false pos=none
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size:[320 x 240] type:6 continuous = false iterations:1000 nz=true pos=begin
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size:[320 x 240] type:6 continuous = false iterations:1000 nz=true pos=middle
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size:[320 x 240] type:6 continuous = false iterations:1000 nz=true pos=end
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size:[320 x 240] type:6 continuous = false iterations:1000 nz=false pos=none
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size:[512 x 512] type:0 continuous = true iterations:1000 nz=true pos=begin
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size:[512 x 512] type:0 continuous = true iterations:1000 nz=true pos=middle
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size:[512 x 512] type:0 continuous = true iterations:1000 nz=true pos=end
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size:[512 x 512] type:0 continuous = true iterations:1000 nz=false pos=none
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size:[512 x 512] type:0 continuous = false iterations:1000 nz=true pos=begin
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size:[512 x 512] type:0 continuous = false iterations:1000 nz=true pos=middle
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size:[512 x 512] type:0 continuous = false iterations:1000 nz=true pos=end
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size:[512 x 512] type:0 continuous = false iterations:1000 nz=false pos=none
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size:[512 x 512] type:2 continuous = true iterations:1000 nz=true pos=begin
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size:[512 x 512] type:2 continuous = true iterations:1000 nz=true pos=middle
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size:[512 x 512] type:2 continuous = true iterations:1000 nz=true pos=end
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size:[512 x 512] type:2 continuous = true iterations:1000 nz=false pos=none
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size:[512 x 512] type:2 continuous = false iterations:1000 nz=true pos=begin
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size:[512 x 512] type:2 continuous = false iterations:1000 nz=true pos=middle
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size:[512 x 512] type:2 continuous = false iterations:1000 nz=true pos=end
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size:[512 x 512] type:2 continuous = false iterations:1000 nz=false pos=none
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size:[512 x 512] type:4 continuous = true iterations:1000 nz=true pos=begin
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size:[512 x 512] type:4 continuous = true iterations:1000 nz=true pos=middle
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size:[512 x 512] type:4 continuous = true iterations:1000 nz=true pos=end
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size:[512 x 512] type:4 continuous = true iterations:1000 nz=false pos=none
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size:[512 x 512] type:4 continuous = false iterations:1000 nz=true pos=begin
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size:[512 x 512] type:4 continuous = false iterations:1000 nz=true pos=middle
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size:[512 x 512] type:4 continuous = false iterations:1000 nz=true pos=end
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size:[512 x 512] type:4 continuous = false iterations:1000 nz=false pos=none
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size:[512 x 512] type:5 continuous = true iterations:1000 nz=true pos=begin
============================================================
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size:[512 x 512] type:5 continuous = true iterations:1000 nz=true pos=end
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size:[512 x 512] type:5 continuous = false iterations:1000 nz=true pos=end
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size:[640 x 480] type:4 continuous = true iterations:1000 nz=true pos=end
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size:[640 x 480] type:4 continuous = true iterations:1000 nz=false pos=none
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size:[640 x 480] type:4 continuous = false iterations:1000 nz=true pos=begin
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size:[640 x 480] type:4 continuous = false iterations:1000 nz=true pos=end
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size:[640 x 480] type:4 continuous = false iterations:1000 nz=false pos=none
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size:[640 x 480] type:5 continuous = true iterations:1000 nz=true pos=end
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size:[640 x 480] type:5 continuous = true iterations:1000 nz=false pos=none
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size:[640 x 480] type:5 continuous = false iterations:1000 nz=true pos=begin
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size:[640 x 480] type:5 continuous = false iterations:1000 nz=true pos=middle
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size:[640 x 480] type:5 continuous = false iterations:1000 nz=true pos=end
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size:[640 x 480] type:5 continuous = false iterations:1000 nz=false pos=none
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size:[640 x 480] type:6 continuous = true iterations:1000 nz=true pos=begin
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size:[640 x 480] type:6 continuous = true iterations:1000 nz=true pos=middle
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size:[640 x 480] type:6 continuous = true iterations:1000 nz=true pos=end
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size:[640 x 480] type:6 continuous = true iterations:1000 nz=false pos=none
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size:[640 x 480] type:6 continuous = false iterations:1000 nz=true pos=begin
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size:[640 x 480] type:6 continuous = false iterations:1000 nz=true pos=middle
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size:[640 x 480] type:6 continuous = false iterations:1000 nz=true pos=end
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size:[640 x 480] type:6 continuous = false iterations:1000 nz=false pos=none
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size:[1024 x 768] type:0 continuous = true iterations:1000 nz=true pos=begin
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size:[1024 x 768] type:0 continuous = true iterations:1000 nz=true pos=middle
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size:[1024 x 768] type:0 continuous = true iterations:1000 nz=true pos=end
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size:[1024 x 768] type:0 continuous = true iterations:1000 nz=false pos=none
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size:[1024 x 768] type:0 continuous = false iterations:1000 nz=true pos=begin
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size:[1024 x 768] type:0 continuous = false iterations:1000 nz=true pos=middle
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size:[1024 x 768] type:0 continuous = false iterations:1000 nz=true pos=end
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size:[1024 x 768] type:0 continuous = false iterations:1000 nz=false pos=none
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size:[1024 x 768] type:2 continuous = true iterations:1000 nz=true pos=begin
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size:[1024 x 768] type:2 continuous = true iterations:1000 nz=true pos=middle
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size:[1024 x 768] type:2 continuous = true iterations:1000 nz=true pos=end
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size:[1024 x 768] type:2 continuous = true iterations:1000 nz=false pos=none
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size:[1024 x 768] type:2 continuous = false iterations:1000 nz=true pos=begin
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size:[1024 x 768] type:2 continuous = false iterations:1000 nz=true pos=middle
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size:[1024 x 768] type:2 continuous = false iterations:1000 nz=true pos=end
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size:[1024 x 768] type:2 continuous = false iterations:1000 nz=false pos=none
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size:[1024 x 768] type:4 continuous = true iterations:1000 nz=true pos=begin
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size:[1024 x 768] type:4 continuous = true iterations:1000 nz=true pos=middle
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size:[1024 x 768] type:4 continuous = true iterations:1000 nz=true pos=end
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size:[1024 x 768] type:4 continuous = true iterations:1000 nz=false pos=none
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size:[1024 x 768] type:4 continuous = false iterations:1000 nz=true pos=begin
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size:[1024 x 768] type:4 continuous = false iterations:1000 nz=true pos=middle
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size:[1024 x 768] type:4 continuous = false iterations:1000 nz=true pos=end
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size:[1024 x 768] type:4 continuous = false iterations:1000 nz=false pos=none
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size:[1024 x 768] type:5 continuous = true iterations:1000 nz=true pos=begin
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size:[1024 x 768] type:5 continuous = true iterations:1000 nz=true pos=middle
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size:[1024 x 768] type:5 continuous = true iterations:1000 nz=true pos=end
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size:[1024 x 768] type:5 continuous = true iterations:1000 nz=false pos=none
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size:[1024 x 768] type:5 continuous = false iterations:1000 nz=true pos=begin
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size:[1024 x 768] type:5 continuous = false iterations:1000 nz=true pos=middle
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size:[1024 x 768] type:5 continuous = false iterations:1000 nz=true pos=end
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size:[1024 x 768] type:5 continuous = false iterations:1000 nz=false pos=none
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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
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size:[1024 x 768] type:6 continuous = true iterations:1000 nz=false pos=none
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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
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size:[1024 x 768] type:6 continuous = false iterations:1000 nz=true pos=end
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size:[1024 x 768] type:6 continuous = false iterations:1000 nz=false pos=none
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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
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 Alekhin
04d71da6e7
Merge pull request #23566 from seanm:atomic-bool
2023-05-16 10:46:59 +00:00
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
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
e4a29d93fe
Merge remote-tracking branch 'origin/3.4' into merge-3.4
2023-04-21 10:55:04 +03:00
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
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
2023-04-07 09:14:42 +00:00
Christian Henkel
c9e42c5050
two typos
2023-03-22 09:17:41 +03:00
Alexander Alekhin
f33598f55e
Merge branch 4.x
2023-01-28 17:31:32 +00:00
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
Vincent Rabaud
44c46e545a
Fix compilation with msan
2023-01-17 13:26:59 +01:00
Yang Chao
e0aa677388
Open CV_CPU_NEON_DOTPROD on Apple silicon devices
2023-01-09 19:27:35 +08:00
Alexander Alekhin
593a376566
Merge branch 4.x
2023-01-09 11:08:02 +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 Alekhin
da43778c1f
Merge pull request #22981 from alalek:core_freeze_cache_dir_prefix_4.x
2022-12-19 17:29:57 +00:00
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
Alexander Alekhin
7e3c53b9d3
core(logger): strip path prefix
2022-12-07 23:58:36 +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
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 Alekhin
762481411d
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2022-10-15 16:44:47 +00:00
Vincent Rabaud
38c9c20a35
Move marking memory as initialized earlier.
2022-09-28 21:58:17 +02:00
Sean McBride
1829eba584
Fixed most clang -Wextra-semi warnings
2022-09-27 18:06:46 -04:00
wxsheng
4154bd0667
Add Loongson Advanced SIMD Extension support: -DCPU_BASELINE=LASX
...
* Add Loongson Advanced SIMD Extension support: -DCPU_BASELINE=LASX
* Add resize.lasx.cpp for Loongson SIMD acceleration
* Add imgwarp.lasx.cpp for Loongson SIMD acceleration
* Add LASX acceleration support for dnn/conv
* Add CV_PAUSE(v) for Loongarch
* Set LASX by default on Loongarch64
* LoongArch: tune test threshold for Core/HAL.mat_decomp/15
Co-authored-by: shengwenxue <shengwenxue@loongson.cn>
2022-09-10 09:39:43 +03:00
Yuantao Feng
9dc844a6e1
Merge pull request #22346 from fengyuentau:mat1d_part1
...
Changes separated from Mat 1D support in core #18594 (#22346 )
2022-09-09 12:56:30 +03:00
Alexander Alekhin
c25f776151
Merge branch 4.x
2022-08-21 15:27:31 +00:00
Alexander Alekhin
2ebdc04787
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2022-08-14 15:50:42 +00:00
Alexander Smorkalov
2ffa7ac0da
Merge pull request #22217 from CSharperMantle:CSharperMantle-patch-steady-clock
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Use `std::chrono::steady_clock` in `getTickCount`
2022-08-03 14:09:45 +03:00
Alexander Alekhin
0862d69a6e
Merge pull request #22271 from tomoaki0705:dotprod_neon
2022-07-25 15:00:32 +00:00
Maksim Shabunin
f729202272
core: remove unnecessary pointer cleanup in BufferArea
2022-07-24 11:58:17 +03:00
Tomoaki Teshima
b3269b08a1
neon: add dotprod dispatch implementation
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* read vector at runtime
* add enum
2022-07-20 19:25:39 +09:00
HAN Liutong
0ef803950b
Merge pull request #22179 from hanliutong:new-rvv
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[GSoC] New universal intrinsic backend for RVV
* Add new rvv backend (partially implemented).
* Modify the framework of Universal Intrinsic.
* Add CV_SIMD macro guards to current UI code.
* Use vlanes() instead of nlanes.
* Modify the UI test.
* Enable the new RVV (scalable) backend.
* Remove whitespace.
* Rename and some others modify.
* Update intrin.hpp but still not work on AVX/SSE
* Update conditional compilation macros.
* Use static variable for vlanes.
* Use max_nlanes for array defining.
2022-07-19 20:02:00 +03:00
Rong Mantle Bao
fa613e393f
Read CV_CXX11 for C++11 detection
2022-07-10 19:21:17 +08:00
Rong Mantle Bao
db70676933
Use cross-platform std::chrono in getTickCount()
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Add conditional compilation directives to enable uses of std::chrono on supported compilers. Use std::chrono::steady_clock as a source to retrieve current tick count and clock frequency.
Fixes opencv/opencv#6902 .
2022-07-09 10:42:29 +08:00
Alexander Alekhin
2a4926f417
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2022-06-26 14:22:24 +00:00
Sean McBride
35f1a90df7
Merge pull request #22149 from seanm:sprintf
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Replaced sprintf with safer snprintf
* Straightforward replacement of sprintf with safer snprintf
* Trickier replacement of sprintf with safer snprintf
Some functions were changed to take another parameter: the size of the buffer, so that they can pass that size on to snprintf.
2022-06-25 06:48:22 +03:00
Vincent Rabaud
0d52c37e11
Fix typo that prevents compilation with sanitizer.
2022-06-17 11:40:22 +02:00
Alexander Alekhin
734e309b3e
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2022-06-16 11:04:50 +00:00
Vincent Rabaud
7a46d7efde
Fix compilation on some ARM architecture.
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This condition is the same as the line above.
2022-06-13 17:39:24 +02:00
Alexander Alekhin
583bd1a6e2
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2022-06-04 19:10:35 +00:00
Alexander Alekhin
65fcf22670
imgproc: use singleton in color_hsv.simd.hpp
2022-06-01 19:02:56 +00:00
Namgoo Lee
24547f40ff
remove const from functions returning by value
2022-05-26 21:30:41 +09:00
OpenCV Developers
d9a444ca1a
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2022-05-14 11:23:21 +00:00
Kumataro
602caa9cd6
Merge pull request #21937 from Kumataro:4.x-fix-21911
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* Fix warnings for clang15
* Fix warnings: Remove unnecessary code
* Fix warnings: Remove unnecessary code
2022-05-13 17:32:05 +00:00
Vincent Rabaud
667e5e4f89
Merge pull request #21943 from vrabaud:3.4_proc
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* Fix compilation with non glibc.
_SC_NPROCESSORS_ONLN is non standard as defined on https://man7.org/linux/man-pages/man3/sysconf.3.html
It seems to only be on glibc, cf https://www.gnu.org/software/libc/manual/html_node/Processor-Resources.html
* Fix to defined(_SC_NPROCESSORS_ONLN)
2022-05-05 07:59:29 +00:00
OpenCV Developers
0fbd58bef9
Merge branch 4.x
2022-04-23 22:07:14 +00:00
rogday
7daf84fb44
address security concerns in persistence
2022-04-14 22:18:00 +03:00
Anatoliy Talamanov
9390c56831
Merge pull request #21782 from TolyaTalamanov:at/fix-1d-mat-problems
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[G-API] Fix problems with 1D cv::Mat as graph output
* Fix issues with 1D cv::Mat
* Fix cv::Mat::create
* Fix standalone build
* Add test on 1d mat
* Fix warning
* Add additional condition
* Add more tests
2022-03-31 21:00:45 +00:00
Alexander Alekhin
1339ebaa84
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2022-03-26 16:00:28 +00:00
Maksim Shabunin
593996216f
cartToPolar/polarToCart: disable inplace mode
2022-03-21 16:06:12 +03:00
Maksim Shabunin
0d16b5fc38
Fix libva dynamic loading
2022-03-15 19:08:20 +03:00
rogday
e16cb8b4a2
Merge pull request #21703 from rogday:transpose
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Add n-dimensional transpose to core
* add n-dimensional transpose to core
* add performance test, write sequentially and address review comments
2022-03-14 13:10:04 +00:00
masa-iwm
1ae2320e09
bugfix convertFromD3D11Texture2D
2022-03-03 07:21:53 +09:00
Tatsuro Shibamura
d354ad1c34
Merge pull request #21630 from shibayan:arm64-msvc-neon
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* Added NEON support in builds for Windows on ARM
* Fixed `HAVE_CPU_NEON_SUPPORT` display broken during compiler test
* Fixed a build error prior to Visual Studio 2022
2022-02-26 17:35:03 +00:00
Alexander Alekhin
899b4d1452
Merge branch 4.x
2022-02-22 19:55:26 +00:00
Sean McBride
5b23752205
Replaced incorrect double checked locking with a static
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Thread Sanitizer identified an incorrect implementation of double checked locking.
Replaced it with a static, which therefore can only be created once.
2022-02-15 14:24:21 -05:00
Alexander Alekhin
19926e2979
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2022-02-11 17:32:37 +00:00
Vincent Rabaud
fc28ba3156
Merge pull request #21594 from vrabaud:3.4_msan
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* Fix harmless MSAN error.
This is similar to https://github.com/opencv/opencv/pull/21527
A macro is also created to simplify the code.
* Declare fallback only once.
2022-02-10 19:44:14 +03:00
cudawarped
f66a2ffa1e
Fix GpuMat to correctly calculate dataend when using GpuMat::create().
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Add output to createMat() to be used by locateROI test cases.
2022-02-02 14:25:46 +00:00
Alexander Alekhin
a351e05a17
Merge pull request #21538 from edman007:fixup-21536
2022-02-01 17:01:16 +00:00
Ed Martin
dc29632d4e
Fallback to vaCreateImage + vaPutImage/vaGetImage when vaDeriveImage fails
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Per intel docs for libva, when vaDeriveImage fails vaCreateImage +
vaPutImage should be tried. This is important as mesa with AMD HW
will always fail because the image is interlaced so a indirect
method must be used to get the surface to/from and image
Fixes https://github.com/opencv/opencv/issues/21536
2022-01-31 17:12:37 -05:00
Alexander Alekhin
d573472a86
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2022-01-31 12:53:45 +00:00
Vincent Rabaud
b5b52afd35
Merge pull request #21527 from vrabaud:3.4_msan
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* Fix wrong MSAN errors.
Because Fortran is called in Lapack, MSAN does not think the memory
has been written even though it is the case.
MSAN does no support well cross-language memory analysis.
* Make a dedicated check.
2022-01-28 15:35:47 +00:00
Alexander Alekhin
83ce1de8e7
Merge pull request #21506 from alalek:core_fp_denormals
2022-01-26 08:52:27 +00:00
Alexander Alekhin
b1d484f827
core(parallel): propagate FP denormals mode
2022-01-26 05:19:02 +00:00
Alexander Alekhin
123519165d
core: FP denormals hints support
2022-01-26 05:19:02 +00:00
pkubaj
5d9ea394ba
Fix VSX detection on FreeBSD
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hwcap should actually be long.
2022-01-25 13:35:22 +00:00
Alexander Alekhin
302d14adef
build: fix GCC12 compilation
2022-01-22 11:48:44 +00:00
Alexander Alekhin
5ba9a089e1
core(persistence): avoid NULL pointer dereference
2022-01-18 04:56:43 +00:00
Alexander Alekhin
aebb65e983
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2022-01-12 13:26:10 +00:00
cudawarped
ecfbaa267d
Merge pull request #21374 from cudawarped:fix_cuda_event_flags
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Allow cv::cuda::Event to accept combinations of flags
2022-01-11 23:57:25 +03:00
Vincent Rabaud
4db3a388dd
Fix a potential UBSAN error.
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We only use that value as uint64_t below anyway.
2022-01-11 12:01:47 +01:00
Christoph Rackwitz
f3e0479a8f
kmeans: assertion "There can't be more clusters than elements"
2022-01-08 23:42:21 +01:00
Suleyman TURKMEN
0e6a2c0491
fix legacy constants
2022-01-03 15:08:10 +03:00
Alexander Alekhin
a0d5277e0d
Merge branch 4.x
2021-12-30 21:43:45 +00:00
Alexander Alekhin
92925e846d
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2021-12-29 15:22:13 +00:00
Alexander Alekhin
c5a86c22a4
core(ocl): add option to abort on OpenCL kernel build failure
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- exceptions are catched by fallback CPU path
- OPENCV_OPENCL_ABORT_ON_BUILD_ERROR (disabled by default)
2021-12-29 00:04:45 +00:00
Alexander Alekhin
9777fbacf6
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2021-12-22 15:57:02 +00:00
dwardor
54c180092d
Merge pull request #21114 from dwardor:patch-1
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* Fix compile against lapack-3.10.0
Fix compilation against lapack >= 3.9.1 and 3.10.0 while not breaking older versions
OpenCVFindLAPACK.cmake & CMakeLists.txt: determine OPENCV_USE_LAPACK_PREFIX from LAPACK_VERSION
hal_internal.cpp : Only apply LAPACK_FUNC to functions whose number of inputs depends on LAPACK_FORTRAN_STR_LEN in lapack >= 3.9.1
lapack_check.cpp : remove LAPACK_FUNC which is not OK as function are not used with input parameters (so lapack.h preprocessing of "LAPACK_xxxx(...)" is not applicable with lapack >= 3.9.1
If not removed lapack_check fails so LAPACK is deactivated in build (not want we want)
use OCV_ prefix and don't use Global, instead generate OCV_LAPACK_FUNC depending on CMake Conditions
Remove CONFIG from find_package(LAPACK) and use LAPACK_GLOBAL and LAPACK_NAME to figure out if using netlib's reference LAPACK implementation and how to #define OCV_LAPACK_FUNC(f)
* Fix typos and grammar in comments
2021-12-22 12:00:00 +00:00
Baiyun-u-smartAI
b167115b5b
fixed an error ------Context::p is protected whinin this context
2021-12-06 14:09:50 +08:00
Alexander Alekhin
8b4fa2605e
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2021-12-03 12:32:49 +00:00
rogday
f044037ec5
Merge pull request #20733 from rogday:argmaxnd
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Implement ArgMax and ArgMin
* add reduceArgMax and reduceArgMin
* fix review comments
* address review concerns
2021-11-28 16:17:46 +00:00
Suleyman TURKMEN
4f0fe1de96
clean up c-api
2021-11-28 12:09:34 +03:00
yuki takehara
a6277370ca
Merge pull request #21107 from take1014:remove_assert_21038
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resolves #21038
* remove C assert
* revert C header
* fix several points in review
* fix test_ds.cpp
2021-11-27 18:34:52 +00:00
Alexander Alekhin
57ee14d62d
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2021-11-27 16:50:55 +00:00
Alexander Alekhin
61f1ee2d2d
core(logger): dump timestamp information with message
2021-11-20 15:34:23 +00:00
Alexander Alekhin
394e640909
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2021-11-13 15:11:30 +00:00
Alexander Alekhin
f33828a1ca
Merge pull request #20870 from pkubaj:master
2021-11-10 16:08:20 +00:00
Piotr Kubaj
68e425f869
Add support for runtime CPU feature check on POWER on FreeBSD.
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1. Code uses PPC_FEATURE_HAS_VSX, but it's not checked similarly to
PPC_FEATURE2_ARCH_3_00 and PPC_FEATURE2_ARCH_3_00 for availability. FreeBSD has
those macros in machine/cpu.h, but I went with the way chosen for
PPC_FEATURE2_ARCH_3_00 and PPC_FEATURE2_ARCH_3_00. Other than that, FreeBSD also
has sys/auxv.h and that's where elf_aux_info() is defined.
2. getauxval() is actually Linux-only, but code checked for __unix__. It won't
work on all UNIX, so change it back to __linux__. Add another code variant
strictly for FreeBSD.
3. Update comment. This commit adds code for FreeBSD, but recently there
appeared support for powerpc64 in OpenBSD.
2021-11-10 13:28:09 +00:00
Alexander Alekhin
7b57df02a7
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2021-10-30 14:26:17 +00:00
Alexander Alekhin
40c748a2ae
python: properly handle step for multichannel case
2021-10-29 18:29:19 +00:00
Alexander Alekhin
d612c72405
build: fix MSVC-Clang warnings about unused parameters in stubs
2021-10-28 21:08:36 +00:00
Alexander Alekhin
6a2077cbd8
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2021-10-23 15:33:31 +00:00
Alexander Alekhin
fce4a19d0d
5.x: cleanup compatibility code (2021-10)
2021-10-20 17:40:04 +00:00
Zhuo Zhang
7da51787b9
Merge pull request #20900 from zchrissirhcz:3.4-hwfeatures-support-qnx
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* fix: correctly check neon flags for QNX platform
* refactor: change __QNXNTO__ to __QNX__
2021-10-19 13:30:27 +00:00
Alexander Alekhin
7ba26ada12
Merge branch 4.x
2021-10-15 21:53:39 +00:00
Alexander Alekhin
39ee5c5a46
plugins: reverse candidates order to fetch higher versions first
2021-10-08 20:34:07 +00:00
Alexander Alekhin
cca4c47781
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2021-10-08 11:05:45 +00:00
Alexander Alekhin
17bd9a1fa1
Merge pull request #20841 from alalek:core_keep_TlsAbstraction_singleton_3.4
2021-10-08 07:01:05 +00:00
Alexander Alekhin
4985311d46
core(tls): avoid destruction of TlsAbstraction singleton
2021-10-08 03:12:58 +00:00
Alexander Alekhin
27545dcc86
core: add __NetBSD__ build fix in parallel.cpp
2021-10-07 23:29:28 +00:00
Alexander Alekhin
03a08435e2
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2021-10-07 04:27:22 +00:00
Alexander Alekhin
e585192eeb
Merge pull request #20802 from alalek:core_tls_init_TlsAbstraction
2021-10-06 12:01:06 +00:00
Alexander Alekhin
87d4970e8b
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2021-10-04 19:50:01 +00:00
Alexander Alekhin
d20c9bde7e
core(TLS): force TlsAbstraction initialization before main()
2021-10-04 11:34:09 +00:00
Alexander Alekhin
62414e3073
core(parallel): suppress TSAN warning
2021-10-04 10:46:32 +00:00
Alexander Alekhin
24fcb7f813
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2021-09-25 17:50:00 +00:00
Alexander Alekhin
998406d20e
Merge pull request #20729 from MikaelUrankar:3.4
2021-09-21 22:30:49 +00:00
mikael
f7b4b750d8
Detect FP16 on FreeBSD aarch64
2021-09-21 19:48:58 +02:00
Alexander Alekhin
c3ac834526
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2021-09-11 21:27:26 +00:00
Alexander Alekhin
56b7622612
Merge pull request #20687 from alalek:core_ocl_fix_intel_gemm
2021-09-11 16:26:25 +00:00
Alexander Alekhin
07e4076585
Merge pull request #20689 from diablodale:fix20613-selectocldevice
2021-09-10 22:26:36 +00:00
Dale Phurrough
de1a459879
fix opencv/opencv#20613
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* copy 4.x selectOpenCLDevice() -- it is compatible
* filter platforms rather than trying only first matching
* this works on 3.4 and 4.x master
2021-09-10 21:18:01 +02:00
Alexander Alekhin
9b4ecc96f6
core(ocl): buffer bounds in intelblas_gemm_buffer_NT
2021-09-10 12:10:41 +00:00
Alexander Alekhin
e3f4f874c5
Merge pull request #20670 from alalek:core_ocl_fix_intel_gpu_gemm_requirements
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core(OpenCL): fix intel_gpu_gemm kernel requirements
* core(ocl): fix intel_gpu_gemm integration
- allow bailout to generic OpenCL kernel
* core(ocl): avoid failures of generic OpenCL gemm kernel
* core(ocl): define alignment requirements of intel_gpu_gemm kernels
2021-09-10 12:00:11 +00:00
Alexander Alekhin
5578ad5e14
dnn(ocl): fix automatic globalsize adjusting
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- if kernel code doesn't support that
2021-09-06 03:11:29 +00:00
Alexander Alekhin
aaff125608
core(ocl): debug capabilities
2021-09-04 15:37:39 +00:00
Alexander Alekhin
5aa7435d25
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2021-09-02 15:24:04 +00:00
Alexander Alekhin
6625810d2a
Merge pull request #20618 from VadimLevin:dev/vlevin/fix-vector-conversion
2021-09-01 10:52:37 +00:00
Vadim Levin
16b9514543
feat: update conversion logic for std::vector<T> in Python bindings
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`PyObject*` to `std::vector<T>` conversion logic:
- If user passed Numpy Array
- If array is planar and T is a primitive type (doesn't require
constructor call) that matches with the element type of array, then
copy element one by one with the respect of the step between array
elements. If compiler is lucky (or brave enough) copy loop can be
vectorized.
For classes that require constructor calls this path is not
possible, because we can't begin an object lifetime without hacks.
- Otherwise fall-back to general case
- Otherwise - execute the general case:
If PyObject* corresponds to Sequence protocol - iterate over the
sequence elements and invoke the appropriate `pyopencv_to` function.
`std::vector<T>` to `PyObject*` conversion logic:
- If `std::vector<T>` is empty - return empty tuple.
- If `T` has a corresponding `Mat` `DataType` than return
Numpy array instance of the matching `dtype` e.g.
`std::vector<cv::Rect>` is returned as `np.ndarray` of shape `Nx4` and
`dtype=int`.
This branch helps to optimize further evaluations in user code.
- Otherwise - execute the general case:
Construct a tuple of length N = `std::vector::size` and insert
elements one by one.
Unnecessary functions were removed and code was rearranged to allow
compiler select the appropriate conversion function specialization.
2021-09-01 13:00:21 +03:00
Alexander Alekhin
f25951c412
core(ocl): handle NULL in dumpValue() debug call
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- NULL is used for allocation of workgroup local variables
2021-08-30 11:47:51 +00:00
Alexander Alekhin
4c05a697fa
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2021-08-28 21:30:28 +00:00
Dale Phurrough
54a9e00970
fix opencv/opencv#20594 - exception handling with refcounts
2021-08-25 14:38:02 +02:00
Francesco Petrogalli
d29c7e7871
Merge pull request #20392 from fpetrogalli:aarch64-semihosting
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AArch64 semihosting
* [ts] Disable filesystem support in the TS module.
Because of this change, all the tests loading data will file, but tat
least the core module can be tested with the following line:
opencv_test_core --gtest_filter=-"*Core_InputOutput*:*Core_globbing.accuracy*"
* [aarch64] Build OpenCV for AArch64 semihosting.
This patch provide a toolchain file that allows to build the library
for semihosting applications [1]. Minimal changes have been applied to
the code to be able to compile with a baremetal toolchain.
[1] https://developer.arm.com/documentation/100863/latest
The option `CV_SEMIHOSTING` is used to guard the bits in the code that
are specific to the target.
To build the code:
cmake ../opencv/ \
-DCMAKE_TOOLCHAIN_FILE=../opencv/platforms/semihosting/aarch64-semihosting.toolchain.cmake \
-DSEMIHOSTING_TOOLCHAIN_PATH=/path/to/baremetal-toolchain/bin/ \
-DBUILD_EXAMPLES=ON -GNinja
A barematel toolchain for targeting aarch64 semihosting can be found
at [2], under `aarch64-none-elf`.
[2] https://developer.arm.com/tools-and-software/open-source-software/developer-tools/gnu-toolchain/gnu-a/downloads
The folder `samples/semihosting` provides two example semihosting
applications.
The two binaries can be executed on the host platform with:
qemu-aarch64 ./bin/example_semihosting_histogram
qemu-aarch64 ./bin/example_semihosting_norm
Similarly, the test and perf executables of the modules can be run
with:
qemu-aarch64 ./bin/opecv_[test|perf]_<module>
Notice that filesystem support is disabled by the toolchain file,
hence some of the test that depend on filesystem support will fail.
* [semihosting] Remove blank like at the end of file. [NFC]
The spurious blankline was reported by
https://pullrequest.opencv.org/buildbot/builders/precommit_docs/builds/31158 .
* [semihosting] Make the raw pixel file generation OS independent.
Use the facilities provided by Cmake to generate the header file
instead of a shell script, so that the build doesn't fail on systems
that do not have a unix shell.
* [semihosting] Rename variable for semihosting compilation.
* [semihosting] Move the cmake configuration to a variable file.
* [semihosting] Make the guard macro private for the core module.
* [semihosting] Remove space. [NFC]
* [semihosting] Improve comment with information about semihosting. [NFC]
* [semihosting] Update license statement on top of sourvce file. [NFC]
* [semihosting] Replace BM_SUFFIX with SEMIHOSTING_SUFFIX. [NFC]
* [semihosting] Remove double space. [NFC]
* [semihosting] Add some text output to the sample applications.
* [semihosting] Remove duplicate entry in cmake configuration. [NFCI]
* [semihosting] Replace `long` with `int` in sample apps. [NFCI]
* [semihosting] Use `configure_file` to create the random pixels. [NFCI]
* [semihosting][bugfix] Fix name of cmakedefine variable.
* [semihosting][samples] Use CV_8UC1 for grayscale images. [NFCI]
* [semihosting] Add readme file.
* [semihosting] Remove blank like at the end of README. [NFC]
This fixes the failure at
https://pullrequest.opencv.org/buildbot/builders/precommit_docs/builds/31272 .
2021-07-21 18:46:05 +03:00
Alexander Alekhin
4ab0377c6e
Merge pull request #20143 from rogday:base64_encoding
2021-07-19 20:43:19 +00:00
Alexander Alekhin
39b91c97f0
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2021-07-16 10:35:42 +00:00
