Commit Graph

34270 Commits

Author SHA1 Message Date
Alexander Smorkalov
92b588f30b
Merge pull request #25702 from asmorkalov:as/gapi_disable_steaming_again
Disable more G-API streaming test due to unstability.
2024-06-04 13:01:21 +03:00
Alexander Smorkalov
2bb8b2b173 Disable more G-API streaming test due to unstability. 2024-06-04 11:07:22 +03:00
Alexander Smorkalov
d8f0838fa3
Merge pull request #25701 from keanep:I25700
Update cv::FaceRecognizerSF class documentation
2024-06-04 11:03:31 +03:00
Patrick Keane
3f26664e8d ISSUE-25700 update cv::FaceRecognizerSF class documentation 2024-06-03 17:29:41 -04:00
Alexander Alekhin
337c183b9d Merge tag '4.10.0' 2024-06-02 18:24:06 +00:00
Alexander Smorkalov
71d3237a09 Release 4.10.0 2024-06-02 14:41:07 +03:00
Rostislav Vasilikhin
a7e53aa184
Merge pull request #25671 from savuor:rv/arithm_extend_tests
Tests added for mixed type arithmetic operations #25671

### Changes
* added accuracy tests for mixed type arithmetic operations
    _Note: div-by-zero values are removed from checking since the result is implementation-defined in common case_
* added perf tests for the same cases
* fixed a typo in `getMulExtTab()` function that lead to dead code

### 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
2024-06-02 14:28:06 +03:00
Kumataro
1bd5ca1ebe
Merge pull request #25686 from Kumataro:fix25674
Suppress build warnings for GCC14 #25686

Close #25674

### 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
- [ ] 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
2024-06-02 14:14:04 +03:00
Vincent Rabaud
1db6a8a1f3
Merge pull request #25665 from vrabaud:jacobian
Fix Homography computation. #25665

The bug was introduced in https://github.com/opencv/opencv/pull/25308

I am sorry I do not have a proper test.

### 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
- [ ] 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
2024-05-31 20:51:58 +03:00
CNOCycle
98b8825031
Merge pull request #25613 from CNOCycle:tflite/ops
Support Global_Pool_2D ops in .tflite model #25613

### Pull Request Readiness Checklist

**Merge with extra**: https://github.com/opencv/opencv_extra/pull/1180

This PR adds support for `GlobalAveragePooling2D` and `GlobalMaxPool2D` on the TFlite backend. When the k`eep_dims` option is enabled, the output is a 2D tensor, necessitating the inclusion of an additional flatten layer. Additionally, the names of these layers have been updated to match the output tensor names generated by `generate.py` from the opencv_extra repository.

- [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
2024-05-31 19:31:21 +03:00
Maksim Shabunin
29f91a08d5
Merge pull request #25680 from mshabunin:fix-approx-2
Reverted contour approximation behavior #25680

Related issue #25663 - revert new function behavior despite it returning different result than the old one (reverts PR  #25672).
Also added Coverity issue fix.
2024-05-31 19:28:03 +03:00
Alexander Smorkalov
08107957d8
Merge pull request #25682 from fengyuentau:calib3d/lapack_fix_calib3d
calib3d: fix data type for ilp64 lapack
2024-05-31 19:24:26 +03:00
fengyuentau
ca035e6dae fix type for ilp64 api 2024-05-31 22:47:57 +08:00
Alexander Panov
472eba324a
Merge pull request #25673 from AleksandrPanov:fix_charuco_board_markers
fixed marker generation in charuco board #25673

When generating  Charuco board markers in `generateImage()`, a problem occurs as in https://github.com/opencv/opencv/issues/24806, https://github.com/opencv/opencv/pull/24873:

In low resolution:
![charucoImg_before_fix2](https://github.com/opencv/opencv/assets/22337800/aab7b443-2d2a-4287-b869-708ac5976ea5)
In medium resolution:
![charucoImg_before_fix](https://github.com/opencv/opencv/assets/22337800/8c21ae42-d9c8-4cb5-9fcc-7814dfc07b80)

This PR fixed this problems:
![charucoImg_after_fix2](https://github.com/opencv/opencv/assets/22337800/93256dbb-8544-46eb-be78-844234e42ca9)
![charucoImg_after_fix](https://github.com/opencv/opencv/assets/22337800/f4d6794e-bee9-4ce4-8f9b-67a40800cbe5)

The test checks the inner and outer borders of the Aruco markers. In the outer border of Aruco marker, all pixels should be white. In the inner border of Aruco marker, all pixels should be black.
![image](https://github.com/opencv/opencv/assets/22337800/010a9c64-e03c-4239-9ac9-2cda9170793b)


### 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.
- [ ] The feature is well documented and sample code can be built with the project CMake
2024-05-31 17:03:24 +03:00
Ujjayant Kadian
dcce2b8b24
Merge pull request #25662 from ujjayant-kadian:uk/port-gapi-onnxrt-backend-into-v2-api
Port G-API ONNXRT backend into V2 API #25662

### 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
2024-05-31 17:01:46 +03:00
Abduragim Shtanchaev
d7f04a9d33
Merge pull request #25660 from Abdurrahheem:ash/fix-slice-empty-input
Slice layer parser fix to support empty input case #25660

This PR fixes Slice Layer's parser to handle empty input cases (cases with initializer)
It fixed the issue rased in #24838

### 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
2024-05-31 13:13:36 +03:00
Alexander Smorkalov
f4ebf7c0a6
Merge pull request #25679 from asmorkalov:as/HAL_min_max_idx_fix
Fixed offset computation for ND case in MinMaxIdx HAL.
2024-05-31 11:06:59 +03:00
Alexander Smorkalov
9ed1d6730f Fixed offset computation for ND case in MinMaxIdx HAL. 2024-05-31 10:09:34 +03:00
Yuantao Feng
7e9ef4db86
Merge pull request #25625 from fengyuentau:core/deploy_fix_lapack_ilp64
core: deployment compatibility for old mac after Accelerate New LAPACK fix #25625

Attempt to fix https://github.com/opencv/opencv/pull/24804#discussion_r1609957747

We may need to explicitly add build option `-DCMAKE_OSX_DEPLOYMENT_TARGET=12.0` or environment variable (`export MACOSX_DEPLOYMENT_TARGET=12.0`) for mac builds (python package most probably) on builders with new macOS (>= 13.3).

### 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
- [ ] 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
2024-05-30 17:03:07 +03:00
Alexander Smorkalov
3e3ee106fb
Merge pull request #25658 from asmorkalov:as/variadic_tuple
Added branch with variadic version of Trust tuple
2024-05-30 15:47:31 +03:00
Alexander Smorkalov
2624929ec6
Merge pull request #25672 from mshabunin:fix-approx
imgproc: fix contour approximation, added test
2024-05-30 14:13:26 +03:00
Alexander Smorkalov
79af357cf4
Merge pull request #25668 from vrabaud:legacy
Have the findContours_legacy overload call findContours_legacy.
2024-05-30 12:41:39 +03:00
Maksim Shabunin
8709115d9a imgproc: fix contour approximation, added test 2024-05-30 12:23:15 +03:00
Vincent Rabaud
e7bf07786d Have the findContours_legacy overload call findContours_legacy. 2024-05-29 16:41:32 +02:00
Junyan721113
d9421ac148
Merge pull request #25167 from plctlab:rvp_3rdparty
3rdparty: NDSRVP - A New 3rdparty Library with Optimizations Based on RISC-V P Extension v0.5.2 - Part 1: Basic Functions #25167

# Summary

### Previous context
From PR #24556: 

>> * As you wrote, the P-extension differs from RVV thus can not be easily implemented via Universal Intrinsics mechanism, but there is another HAL mechanism for lower-level CPU optimizations which is used by the [Carotene](https://github.com/opencv/opencv/tree/4.x/3rdparty/carotene) library on ARM platforms. I suggest moving all non-dnn code to similar third-party component. For example, FAST algorithm should allow such optimization-shortcut: see https://github.com/opencv/opencv/blob/4.x/modules/features2d/src/hal_replacement.hpp
>>   Reference documentation is here:
>>   
>>   * https://docs.opencv.org/4.x/d1/d1b/group__core__hal__interface.html
>>   * https://docs.opencv.org/4.x/dd/d8b/group__imgproc__hal__interface.html
>>   * https://docs.opencv.org/4.x/db/d47/group__features2d__hal__interface.html
>>   * Carotene library is turned on here: 8bbf08f0de/CMakeLists.txt (L906-L911)

> As a test outside of this PR, A 3rdparty component called ndsrvp is created, containing one of the non-dnn code (integral_SIMD), and it works very well.
> All the non-dnn code in this PR have been removed, currently this PR can be focused on dnn optinizations.
> This HAL mechanism is quite suitable for rvp optimizations, all the non-dnn code is expected to be moved into ndsrvp soon.

### Progress

#### Part 1 (This PR)

- [Core](https://docs.opencv.org/4.x/d1/d1b/group__core__hal__interface.html)
- [x] Element-wise add and subtract
- [x] Element-wise minimum or maximum
- [x] Element-wise absolute difference
- [x] Bitwise logical operations
- [x] Element-wise compare
- [ImgProc](https://docs.opencv.org/4.x/dd/d8b/group__imgproc__hal__interface.html)
- [x] Integral
- [x] Threshold
- [x] WarpAffine
- [x] WarpPerspective
- [Features2D](https://docs.opencv.org/4.x/db/d47/group__features2d__hal__interface.html)

#### Part 2 (Next PR)

**Rough Estimate. Todo List May Change.**

- [Core](https://docs.opencv.org/4.x/d1/d1b/group__core__hal__interface.html)
- [ImgProc](https://docs.opencv.org/4.x/dd/d8b/group__imgproc__hal__interface.html)
- smaller remap HAL interface
- AdaptiveThreshold
- BoxFilter
- Canny
- Convert
- Filter
- GaussianBlur
- MedianBlur
- Morph
- Pyrdown
- Resize
- Scharr
- SepFilter
- Sobel
- [Features2D](https://docs.opencv.org/4.x/db/d47/group__features2d__hal__interface.html)
- FAST

### Performance Tests

The optimization does not contain floating point opreations.

**Absolute Difference**

Geometric mean (ms)

|Name of Test|opencv perf core Absdiff|opencv perf core Absdiff|opencv perf core Absdiff vs opencv perf core Absdiff (x-factor)|
|---|:-:|:-:|:-:|
|Absdiff::OCL_AbsDiffFixture::(640x480, 8UC1)|23.104|5.972|3.87|
|Absdiff::OCL_AbsDiffFixture::(640x480, 32FC1)|39.500|40.830|0.97|
|Absdiff::OCL_AbsDiffFixture::(640x480, 8UC3)|69.155|15.051|4.59|
|Absdiff::OCL_AbsDiffFixture::(640x480, 32FC3)|118.715|120.509|0.99|
|Absdiff::OCL_AbsDiffFixture::(640x480, 8UC4)|93.001|19.770|4.70|
|Absdiff::OCL_AbsDiffFixture::(640x480, 32FC4)|161.136|160.791|1.00|
|Absdiff::OCL_AbsDiffFixture::(1280x720, 8UC1)|69.211|15.140|4.57|
|Absdiff::OCL_AbsDiffFixture::(1280x720, 32FC1)|118.762|119.263|1.00|
|Absdiff::OCL_AbsDiffFixture::(1280x720, 8UC3)|212.414|44.692|4.75|
|Absdiff::OCL_AbsDiffFixture::(1280x720, 32FC3)|367.512|366.569|1.00|
|Absdiff::OCL_AbsDiffFixture::(1280x720, 8UC4)|285.337|59.708|4.78|
|Absdiff::OCL_AbsDiffFixture::(1280x720, 32FC4)|490.395|491.118|1.00|
|Absdiff::OCL_AbsDiffFixture::(1920x1080, 8UC1)|158.827|33.462|4.75|
|Absdiff::OCL_AbsDiffFixture::(1920x1080, 32FC1)|273.503|273.668|1.00|
|Absdiff::OCL_AbsDiffFixture::(1920x1080, 8UC3)|484.175|100.520|4.82|
|Absdiff::OCL_AbsDiffFixture::(1920x1080, 32FC3)|828.758|829.689|1.00|
|Absdiff::OCL_AbsDiffFixture::(1920x1080, 8UC4)|648.592|137.195|4.73|
|Absdiff::OCL_AbsDiffFixture::(1920x1080, 32FC4)|1116.755|1109.587|1.01|
|Absdiff::OCL_AbsDiffFixture::(3840x2160, 8UC1)|648.715|134.875|4.81|
|Absdiff::OCL_AbsDiffFixture::(3840x2160, 32FC1)|1115.939|1113.818|1.00|
|Absdiff::OCL_AbsDiffFixture::(3840x2160, 8UC3)|1944.791|413.420|4.70|
|Absdiff::OCL_AbsDiffFixture::(3840x2160, 32FC3)|3354.193|3324.672|1.01|
|Absdiff::OCL_AbsDiffFixture::(3840x2160, 8UC4)|2594.585|553.486|4.69|
|Absdiff::OCL_AbsDiffFixture::(3840x2160, 32FC4)|4473.543|4438.453|1.01|

**Bitwise Operation**

Geometric mean (ms)

|Name of Test|opencv perf core Bit|opencv perf core Bit|opencv perf core Bit vs opencv perf core Bit (x-factor)|
|---|:-:|:-:|:-:|
|Bitwise_and::OCL_BitwiseAndFixture::(640x480, 8UC1)|22.542|4.971|4.53|
|Bitwise_and::OCL_BitwiseAndFixture::(640x480, 32FC1)|90.210|19.917|4.53|
|Bitwise_and::OCL_BitwiseAndFixture::(640x480, 8UC3)|68.429|15.037|4.55|
|Bitwise_and::OCL_BitwiseAndFixture::(640x480, 32FC3)|280.168|59.239|4.73|
|Bitwise_and::OCL_BitwiseAndFixture::(640x480, 8UC4)|90.565|19.735|4.59|
|Bitwise_and::OCL_BitwiseAndFixture::(640x480, 32FC4)|374.695|79.257|4.73|
|Bitwise_and::OCL_BitwiseAndFixture::(1280x720, 8UC1)|67.824|14.873|4.56|
|Bitwise_and::OCL_BitwiseAndFixture::(1280x720, 32FC1)|279.514|59.232|4.72|
|Bitwise_and::OCL_BitwiseAndFixture::(1280x720, 8UC3)|208.337|44.234|4.71|
|Bitwise_and::OCL_BitwiseAndFixture::(1280x720, 32FC3)|851.211|182.522|4.66|
|Bitwise_and::OCL_BitwiseAndFixture::(1280x720, 8UC4)|279.529|59.095|4.73|
|Bitwise_and::OCL_BitwiseAndFixture::(1280x720, 32FC4)|1132.065|244.877|4.62|
|Bitwise_and::OCL_BitwiseAndFixture::(1920x1080, 8UC1)|155.685|33.078|4.71|
|Bitwise_and::OCL_BitwiseAndFixture::(1920x1080, 32FC1)|635.253|137.482|4.62|
|Bitwise_and::OCL_BitwiseAndFixture::(1920x1080, 8UC3)|474.494|100.166|4.74|
|Bitwise_and::OCL_BitwiseAndFixture::(1920x1080, 32FC3)|1907.340|412.841|4.62|
|Bitwise_and::OCL_BitwiseAndFixture::(1920x1080, 8UC4)|635.538|134.544|4.72|
|Bitwise_and::OCL_BitwiseAndFixture::(1920x1080, 32FC4)|2552.666|556.397|4.59|
|Bitwise_and::OCL_BitwiseAndFixture::(3840x2160, 8UC1)|634.736|136.355|4.66|
|Bitwise_and::OCL_BitwiseAndFixture::(3840x2160, 32FC1)|2548.283|561.827|4.54|
|Bitwise_and::OCL_BitwiseAndFixture::(3840x2160, 8UC3)|1911.454|421.571|4.53|
|Bitwise_and::OCL_BitwiseAndFixture::(3840x2160, 32FC3)|7663.803|1677.289|4.57|
|Bitwise_and::OCL_BitwiseAndFixture::(3840x2160, 8UC4)|2543.983|562.780|4.52|
|Bitwise_and::OCL_BitwiseAndFixture::(3840x2160, 32FC4)|10211.693|2237.393|4.56|
|Bitwise_not::OCL_BitwiseNotFixture::(640x480, 8UC1)|22.341|4.811|4.64|
|Bitwise_not::OCL_BitwiseNotFixture::(640x480, 32FC1)|89.975|19.288|4.66|
|Bitwise_not::OCL_BitwiseNotFixture::(640x480, 8UC3)|67.237|14.643|4.59|
|Bitwise_not::OCL_BitwiseNotFixture::(640x480, 32FC3)|276.324|58.609|4.71|
|Bitwise_not::OCL_BitwiseNotFixture::(640x480, 8UC4)|89.587|19.554|4.58|
|Bitwise_not::OCL_BitwiseNotFixture::(640x480, 32FC4)|370.986|77.136|4.81|
|Bitwise_not::OCL_BitwiseNotFixture::(1280x720, 8UC1)|67.227|14.541|4.62|
|Bitwise_not::OCL_BitwiseNotFixture::(1280x720, 32FC1)|276.357|58.076|4.76|
|Bitwise_not::OCL_BitwiseNotFixture::(1280x720, 8UC3)|206.752|43.376|4.77|
|Bitwise_not::OCL_BitwiseNotFixture::(1280x720, 32FC3)|841.638|177.787|4.73|
|Bitwise_not::OCL_BitwiseNotFixture::(1280x720, 8UC4)|276.773|57.784|4.79|
|Bitwise_not::OCL_BitwiseNotFixture::(1280x720, 32FC4)|1127.740|237.472|4.75|
|Bitwise_not::OCL_BitwiseNotFixture::(1920x1080, 8UC1)|153.808|32.531|4.73|
|Bitwise_not::OCL_BitwiseNotFixture::(1920x1080, 32FC1)|627.765|129.990|4.83|
|Bitwise_not::OCL_BitwiseNotFixture::(1920x1080, 8UC3)|469.799|98.249|4.78|
|Bitwise_not::OCL_BitwiseNotFixture::(1920x1080, 32FC3)|1893.591|403.694|4.69|
|Bitwise_not::OCL_BitwiseNotFixture::(1920x1080, 8UC4)|627.724|129.962|4.83|
|Bitwise_not::OCL_BitwiseNotFixture::(1920x1080, 32FC4)|2529.967|540.744|4.68|
|Bitwise_not::OCL_BitwiseNotFixture::(3840x2160, 8UC1)|628.089|130.277|4.82|
|Bitwise_not::OCL_BitwiseNotFixture::(3840x2160, 32FC1)|2521.817|540.146|4.67|
|Bitwise_not::OCL_BitwiseNotFixture::(3840x2160, 8UC3)|1905.004|404.704|4.71|
|Bitwise_not::OCL_BitwiseNotFixture::(3840x2160, 32FC3)|7567.971|1627.898|4.65|
|Bitwise_not::OCL_BitwiseNotFixture::(3840x2160, 8UC4)|2531.476|540.181|4.69|
|Bitwise_not::OCL_BitwiseNotFixture::(3840x2160, 32FC4)|10075.594|2181.654|4.62|
|Bitwise_or::OCL_BitwiseOrFixture::(640x480, 8UC1)|22.566|5.076|4.45|
|Bitwise_or::OCL_BitwiseOrFixture::(640x480, 32FC1)|90.391|19.928|4.54|
|Bitwise_or::OCL_BitwiseOrFixture::(640x480, 8UC3)|67.758|14.740|4.60|
|Bitwise_or::OCL_BitwiseOrFixture::(640x480, 32FC3)|279.253|59.844|4.67|
|Bitwise_or::OCL_BitwiseOrFixture::(640x480, 8UC4)|90.296|19.802|4.56|
|Bitwise_or::OCL_BitwiseOrFixture::(640x480, 32FC4)|373.972|79.815|4.69|
|Bitwise_or::OCL_BitwiseOrFixture::(1280x720, 8UC1)|67.815|14.865|4.56|
|Bitwise_or::OCL_BitwiseOrFixture::(1280x720, 32FC1)|279.398|60.054|4.65|
|Bitwise_or::OCL_BitwiseOrFixture::(1280x720, 8UC3)|208.643|45.043|4.63|
|Bitwise_or::OCL_BitwiseOrFixture::(1280x720, 32FC3)|850.042|180.985|4.70|
|Bitwise_or::OCL_BitwiseOrFixture::(1280x720, 8UC4)|279.363|60.385|4.63|
|Bitwise_or::OCL_BitwiseOrFixture::(1280x720, 32FC4)|1134.858|243.062|4.67|
|Bitwise_or::OCL_BitwiseOrFixture::(1920x1080, 8UC1)|155.212|33.155|4.68|
|Bitwise_or::OCL_BitwiseOrFixture::(1920x1080, 32FC1)|634.985|134.911|4.71|
|Bitwise_or::OCL_BitwiseOrFixture::(1920x1080, 8UC3)|474.648|100.407|4.73|
|Bitwise_or::OCL_BitwiseOrFixture::(1920x1080, 32FC3)|1912.049|414.184|4.62|
|Bitwise_or::OCL_BitwiseOrFixture::(1920x1080, 8UC4)|635.252|132.587|4.79|
|Bitwise_or::OCL_BitwiseOrFixture::(1920x1080, 32FC4)|2544.471|560.737|4.54|
|Bitwise_or::OCL_BitwiseOrFixture::(3840x2160, 8UC1)|634.574|134.966|4.70|
|Bitwise_or::OCL_BitwiseOrFixture::(3840x2160, 32FC1)|2545.129|561.498|4.53|
|Bitwise_or::OCL_BitwiseOrFixture::(3840x2160, 8UC3)|1910.900|419.365|4.56|
|Bitwise_or::OCL_BitwiseOrFixture::(3840x2160, 32FC3)|7662.603|1685.812|4.55|
|Bitwise_or::OCL_BitwiseOrFixture::(3840x2160, 8UC4)|2548.971|560.787|4.55|
|Bitwise_or::OCL_BitwiseOrFixture::(3840x2160, 32FC4)|10201.407|2237.552|4.56|
|Bitwise_xor::OCL_BitwiseXorFixture::(640x480, 8UC1)|22.718|4.961|4.58|
|Bitwise_xor::OCL_BitwiseXorFixture::(640x480, 32FC1)|91.496|19.831|4.61|
|Bitwise_xor::OCL_BitwiseXorFixture::(640x480, 8UC3)|67.910|15.151|4.48|
|Bitwise_xor::OCL_BitwiseXorFixture::(640x480, 32FC3)|279.612|59.792|4.68|
|Bitwise_xor::OCL_BitwiseXorFixture::(640x480, 8UC4)|91.073|19.853|4.59|
|Bitwise_xor::OCL_BitwiseXorFixture::(640x480, 32FC4)|374.641|79.155|4.73|
|Bitwise_xor::OCL_BitwiseXorFixture::(1280x720, 8UC1)|67.704|15.008|4.51|
|Bitwise_xor::OCL_BitwiseXorFixture::(1280x720, 32FC1)|279.229|60.088|4.65|
|Bitwise_xor::OCL_BitwiseXorFixture::(1280x720, 8UC3)|208.156|44.426|4.69|
|Bitwise_xor::OCL_BitwiseXorFixture::(1280x720, 32FC3)|849.501|180.848|4.70|
|Bitwise_xor::OCL_BitwiseXorFixture::(1280x720, 8UC4)|279.642|59.728|4.68|
|Bitwise_xor::OCL_BitwiseXorFixture::(1280x720, 32FC4)|1129.826|242.880|4.65|
|Bitwise_xor::OCL_BitwiseXorFixture::(1920x1080, 8UC1)|155.585|33.354|4.66|
|Bitwise_xor::OCL_BitwiseXorFixture::(1920x1080, 32FC1)|634.090|134.995|4.70|
|Bitwise_xor::OCL_BitwiseXorFixture::(1920x1080, 8UC3)|474.931|99.598|4.77|
|Bitwise_xor::OCL_BitwiseXorFixture::(1920x1080, 32FC3)|1910.519|413.138|4.62|
|Bitwise_xor::OCL_BitwiseXorFixture::(1920x1080, 8UC4)|635.026|135.155|4.70|
|Bitwise_xor::OCL_BitwiseXorFixture::(1920x1080, 32FC4)|2560.167|560.838|4.56|
|Bitwise_xor::OCL_BitwiseXorFixture::(3840x2160, 8UC1)|634.893|134.883|4.71|
|Bitwise_xor::OCL_BitwiseXorFixture::(3840x2160, 32FC1)|2548.166|560.831|4.54|
|Bitwise_xor::OCL_BitwiseXorFixture::(3840x2160, 8UC3)|1911.392|419.816|4.55|
|Bitwise_xor::OCL_BitwiseXorFixture::(3840x2160, 32FC3)|7646.634|1677.988|4.56|
|Bitwise_xor::OCL_BitwiseXorFixture::(3840x2160, 8UC4)|2560.637|560.805|4.57|
|Bitwise_xor::OCL_BitwiseXorFixture::(3840x2160, 32FC4)|10227.044|2249.458|4.55|

### 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
- [ ] 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
2024-05-28 14:25:53 +03:00
Alexander Smorkalov
1668203a1c Added branch with variadic version of Trust tuple 2024-05-28 11:31:13 +03:00
Danial Javady
05e48605a0
Merge pull request #25412 from ZelboK:update-cudnn-to-9
Refactor DNN module to build with cudnn 9 #25412

A lot of APIs that are currently being used in the dnn module have been removed in cudnn 9. They were deprecated in 8. 
This PR updates said code accordingly to the newer API.

Some key notes:
1) This is my first PR. I am new to openCV. 
2) `opencv_test_core` tests pass
3) On a 3080, cuda 12.4(should be irrelevant since I didn't build the `opencv_modules`, gcc 11.4, WSL 2. 
4) For brevity I will avoid including macro code that will allow for older versions of cudnn to build.

I was unable to get the tests working for `opencv_test_dnn` and `opencv_perf_dnn`. The errors I get are of the following: 
```
 OpenCV tests: Can't find required data file: dnn/onnx/conformance/node/test_reduce_prod_default_axes_keepdims_example/model.onnx in function 'findData'
" thrown in the test body.
```
So before I spend more time investigating I was hoping to get a maintainer to point me in the right direction here. I would like to run these tests and confirm things are working as intended. I may have missed some details.


### Pull Request Readiness Checklist

relevant issue
(https://github.com/opencv/opencv/issues/24983

- [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
- [ ] The PR is proposed to the proper branch
- [x] 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
2024-05-28 09:54:08 +03:00
Kumataro
b6593517c4
Merge pull request #25647 from Kumataro:fix25646
imgcodecs: support IMWRITE_JPEG_LUMA/CHROMA_QUALITY with internal libjpeg-turbo #25647

Close #25646

- increase JPEG_LIB_VERSION for internal libjpeg-turbo from 62 to 70
- add log when using IMWRITE_JPEG_LUMA/CHROMA_QUALITY with JPEG_LIB_VERSION<70
- add document IMWRITE_JPEG_LUMA/CHROMA_QUALITY requests JPEG_LIB_VERSION >= 70

### 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
2024-05-27 17:33:43 +03:00
Alexander Smorkalov
c5976f7865
Merge pull request #25641 from vrabaud:lsh
Prevent signed integer overflow in LshTable
2024-05-27 15:55:07 +03:00
Alexander Smorkalov
f1890e384b
Merge pull request #25650 from sturkmen72:libjpeg-turbo
minor cosmetic changes
2024-05-27 13:32:08 +03:00
Suleyman TURKMEN
8955a27577 minor cosmetic changes 2024-05-26 22:50:47 +03:00
Rostislav Vasilikhin
1fa96b161f
Merge pull request #25616 from savuor:rv/yuv_docs
YUV codes for cvtColor: descriptions added #25616

This PR contains descriptions for various RGB <-> YUV color conversion codes as well as detailed comments in the source code.

### 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
- [ ] 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.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-05-25 13:12:03 +03:00
Alexander Smorkalov
d97df262f6
Merge pull request #25623 from asmorkalov:as/jpegturbo_3.0.3
Libjpeg-turbo update to version 3.0.3 #25623

### 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
- [ ] 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
2024-05-25 13:03:12 +03:00
John Stechschulte
7b31cc7314
Merge pull request #24897 from JStech:fix-handeye
Fix handeye #24897

Fixes to the hand-eye calibration methods, from #24871.

The Tsai method is sensitive to poses separated by small rotations, so I filter those out.

The Horaud and Daniilidis methods use quaternions (and dual quaternions), where $q$ and $-q$ represent the same transform.
However, these methods depend on the gripper motion and camera motion having the same sign for the real part.
The fix was simply to multiply the (dual) quaternions by -1 if their real part is negative.

### 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.
- [ ] ~~The feature is well documented and sample code can be built with the project CMake~~ N/A
2024-05-25 11:28:13 +03:00
Rostislav Vasilikhin
cc49aee04e
Merge pull request #25634 from savuor:rv/boxfilter_tests
Tests for cvSmooth -> tests for boxFilter #25634

fixes #25448

### Motivation
The obsolete function `cvSmooth` has two modes in which it calls `cv::boxFilter()` inside with and without normalization.
This function is covered by tests exactly for that modes.
This means that by replacing `cvSmooth` call by `cv::boxFilter()` we will leave the coverage untouched (but more obvious) and remove that obsolete function from tests.

### 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
2024-05-25 11:25:50 +03:00
Rostislav Vasilikhin
b267f1791c
Merge pull request #25633 from savuor:rv/rotate_tests
Tests for cv::rotate() added #25633

fixes #25449

### 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
2024-05-25 11:23:31 +03:00
Alexander Smorkalov
f17b122512
Merge pull request #25638 from bebuch:patch-2
Support VS 2022 17.1x.y in OpenCVDetectCXXCompiler.cmake
2024-05-25 11:10:13 +03:00
Vincent Rabaud
7e3f6875c1 Prevent signed integer overflow in LshTable
This change keeps everything as size_t and the expression is valid
because maxk_block > 0 in hte loop.
2024-05-24 23:47:36 +02:00
Alexander Smorkalov
ba28b7d6df
Merge pull request #25636 from FantasqueX:use-left-arrow-1
Use leftarrow in color conversion Doc
2024-05-24 20:49:57 +03:00
Benjamin Buch
f85818ba6f
Support VS 2022 17.1x.y in OpenCVDetectCXXCompiler.cmake
With 17.10.0 the MSVC toolset was set to 19.40.x which breaks the compatibility test in the OpenCV's CMake Config files.
2024-05-24 11:10:09 +02:00
Alexander Smorkalov
28c3000f62
Merge pull request #25629 from arobase-che:fix-opencv.js-compilation-memory-init-file
Fix the compilation of OpenCV.js by deleting the option --memory-init-file of em++
2024-05-24 10:28:16 +03:00
Letu Ren
6bee2facf3 Use leftarrow in color conversion Doc 2024-05-24 14:56:50 +08:00
Alexander Alekhin
f1aef892bf Merge pull request #25619 from opencv-pushbot:gitee/alalek/update_ffmpeg_4.x 2024-05-23 16:54:30 +00:00
Alexander Smorkalov
f5793d26b7
Merge pull request #25632 from bebuch:patch-1
Support VS 2022 17.1x.y
2024-05-23 18:24:37 +03:00
Alexander Smorkalov
de3eb0ec5f
Merge pull request #25626 from asmorkalov:as/HAL_lut_size
Fixed width and height order in HAL call for LUT
2024-05-23 17:52:43 +03:00
Alexander Smorkalov
4824354e46
Merge pull request #25631 from asmorkalov:as/png_build_fix
Fixed CMake Missing variable is: CMAKE_ASM_COMPILE_OBJECT in PNG build #25631

Error message with `-DBUILD_PNG=ON` on ARM64:
```
-- Configuring done
CMake Error: Error required internal CMake variable not set, cmake may not be built correctly.
Missing variable is:
CMAKE_ASM_COMPILE_OBJECT
-- Generating done
CMake Generate step failed.  Build files cannot be regenerated correctly.
```

### 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
- [ ] 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
2024-05-23 17:14:01 +03:00
Benjamin Buch
6fb3f63331
Support VS 2022 17.1x.y
With 17.10.0 the MSVC toolset was set to 19.40.x which breaks the compatibility test in the OpenCV's CMake Config files.
2024-05-23 16:05:19 +02:00
Alexander Smorkalov
16b5096ed0
Merge pull request #25618 from asmorkalov:as/kleidicv_0.1.0
KleidiCV HAL update to version 0.1.0. #25618

Original integration PR: https://github.com/opencv/opencv/pull/25443

Force the library for testing with CI

### 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
- [ ] 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
2024-05-23 16:55:44 +03:00
Alexander Smorkalov
9f1559595b
Merge pull request #25627 from vrabaud:tiff
Disambiguate cv::format
2024-05-23 12:51:16 +03:00
ache
f8ad6eb71b
Delete option --memory-init-file of em++ 2024-05-23 10:59:09 +02:00