Commit Graph

24668 Commits

Author SHA1 Message Date
Rostislav Vasilikhin
82038be4cd
Merge pull request #25221 from savuor:rv/bench_3d
OBJ and PLY loaders extention to support texture coordinates and difused colors #25221

### This PR changes
* Texture coordinates support added to `loadMesh()` and `saveMesh()`
* `loadMesh()` changes its behavior: all vertex attribute arrays (vertex coordinates, colors, normals, texture coordinates) now have the same size and same-index corresponce
  - This makes sense for OBJ files where vertex attribute arrays are independent from each other and are randomly accessed when defining faces
  - Looks like this behavior may also happen in some PLY files; however, it is not implemented until we encounter such files in a wild nature
  - At the same time `loadPointCloud()` keeps its behavior and loads vertex attributes as they are given in the file
* PLY loader supports synonyms for the properties: `diffuse_red`, `diffuse_green` and `diffuse_blue` along with `red`, `green` and `blue`
* `std::vector<cv::Vec3i>` supported as an index array type
* Colors are loaded as [0, 1] floats instead of uchars
  - Since colors are usually saved as floats, internal conversion to uchar at loading significantly drops accuracy
  - Performing uchar conversion does not always makes sense and can be performed by a user if they needs it
* PLY loading fixed: wrong offset ruined x coordinate
* Python tests added for `loadPointCloud` and `loadMesh`

### 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
2024-04-04 11:04:52 +03:00
Abduragim Shtanchaev
65074651a4
Merge pull request #25224 from Abdurrahheem:ash/0D-concat-test
Concat Layer 0/1D test #25224

This PR introduces parametrized `0/1D` input support test for `Concat` layer.

### 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
2024-04-04 10:36:00 +03:00
Alexander Smorkalov
bf7208e1ed
Merge pull request #25322 from sepperliu:patch-1
Update highgui+HighGui.java
2024-04-04 10:23:24 +03:00
Alexander Smorkalov
bd819f97f1
Merge pull request #25327 from dkurt:uninit_jump_qrcode
Resolve valgrind issue at QRCode detector
2024-04-04 10:22:24 +03:00
Dmitry Kurtaev
56d586aa3e Lest debug checks 2024-04-03 21:55:27 +03:00
Alexander Lyulkov
b64ce1e7f1 Added tests for Const, Concat, ScatterND, NaryEltwise, Arg, Blanc 2024-04-03 18:41:53 +03:00
Dmitry Kurtaev
357203facd Resolve out of bound write in RNG::fill 2024-04-03 18:20:45 +03:00
Dmitry Kurtaev
df627e1281 Resolve valgrind issue at QRCode detector 2024-04-03 16:58:46 +03:00
Yuantao Feng
55d7e3f8cc
Merge pull request #1165 from fengyuentau:gold_yolo
[BugFix] dnn (ONNX): Foce dropping constant inputs in parseClip if they are shared #25319

Resolves https://github.com/opencv/opencv/issues/25278
Merge with https://github.com/opencv/opencv_extra/pull/1165

In Gold-YOLO ,`Div` has a constant input `B=6` which is then parsed into a `Const` layer in the ONNX importer, but `Clip` also has the shared constant input `max=6` which is already a `Const` layer and then connected to `Elementwise` layer. This should not happen because in the `forward()` of `Elementwise` layer, the legacy code goes through and apply activation to each input. More details on https://github.com/opencv/opencv/issues/25278#issuecomment-2032199630.

### 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
2024-04-03 15:56:59 +03:00
catree
d81cd13bb3 Use cvtColor() for Bayer image color demosaicing and for V4L2_PIX_FMT_SRGGB8, V4L2_PIX_FMT_SBGGR8, V4L2_PIX_FMT_SGBRG8, V4L2_PIX_FMT_SGRBG8 options. Update modules/videoio/test/test_v4l2.cpp test file. 2024-04-03 13:48:24 +02:00
Alexander Smorkalov
2d864c3af9 Export TIFF compression options as API and git rid of tiff.h. 2024-04-03 14:30:11 +03:00
sepperliu
45587f23db Update highgui+HighGui.java
toBufferedImage
Modifying the original array copying method here can double the speed.
2024-04-03 13:29:10 +03:00
Alexander Smorkalov
c1e2f16f91
Merge pull request #25225 from Abdurrahheem:ash/0d-expand-test
Expand 0D layer test
2024-04-03 09:53:46 +03:00
Dmitry Kurtaev
13c95efa74
Merge pull request #25312 from dkurt:dnn_hotfix_tflite
Ownership check in TFLite importer #25312

### Pull Request Readiness Checklist

resolves https://github.com/opencv/opencv/issues/25310

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
2024-04-03 09:41:40 +03:00
Alexander Smorkalov
cb6d295f15 Merge branch 4.x 2024-04-02 16:39:54 +03:00
Alexander Smorkalov
99cacaaad6
Merge pull request #25195 from MaximSmolskiy:use-initial-quads-corners-in-ChessBoardDetector-findQuadNeighbors
Use initial quads corners in ChessBoardDetector::findQuadNeighbors
2024-04-02 13:13:01 +03:00
Abdurrahheem
eddace4d98 git squash 2024-04-01 17:22:39 +04:00
utibenkei
fdc7cb6dc1 fix build of dynamic framework for visionos 2024-04-01 22:19:47 +09:00
HAN Liutong
eba158fb0c
Merge pull request #25230 from hanliutong/rvv-conv
Optimize int8 layers in DNN modules by using RISC-V Vector intrinsic. #25230

This patch optimize 3 functions in the int8 layer by using RVV Native Intrinsic.

This patch was tested on QEMU using VLEN=128 and VLEN=256 on `./bin/opencv_test_dnn --gtest_filter="*Int8*"`;
On the real device (k230, VLEN=128), `EfficientDet_int8` in `opencv_perf_dnn` showed a performance improvement of 1.46x.

| Name of Test                               |  Original | optimized | Speed-up |
| ------------------------------------------ | -------- | ---------- | -------- |
| EfficientDet_int8::DNNTestNetwork::OCV/CPU | 2843.467 | 1947.013   | 1.46     |


### 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
2024-03-31 16:47:06 +03:00
Alexander Smorkalov
8c540a56af
Merge pull request #25299 from Kumataro:add_fix25274
imgcodecs: jpeg: (test) fix condition to compare rgb and cmyk jpeg
2024-03-30 11:42:34 +03:00
Alexander Smorkalov
9f123f8d74
Merge pull request #25285 from johnteslade:cgroupsv2-support
core: Add cgroupsv2 support to parallel.cpp
2024-03-30 11:26:23 +03:00
Alexander Smorkalov
95ffabffdd
Merge pull request #25293 from asmorkalov:as/dct_hal_fix
Fixed HAL invocation for DCT.
2024-03-30 11:03:58 +03:00
Kumataro
9c8606e0c0 imgcodecs: jpeg: fix condition to compare rgb and cmyk jpeg 2024-03-30 13:49:08 +09:00
Kumataro
912cf2a028
Merge pull request #25280 from Kumataro:fix25274
imgcodecs: jpeg: re-support to read CMYK Jpeg #25280

Close #25274 
OpenCV Extra: https://github.com/opencv/opencv_extra/pull/1163

### 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
2024-03-29 17:38:06 +03:00
Yuantao Feng
b758897c29
Merge pull request #25271 from fengyuentau:matmul_bias
Merge with https://github.com/opencv/opencv_extra/pull/1158

Todo:

- [x] Fix Attention pattern recognition.
- [x] Handle other backends.

Benchmark:

"VIT_B_32 OCV/CPU", M1, results in milliseconds.

| Model | 4.x | This PR |
| - | - | - |
| VIT_B_32 OCV/CPU | 87.66 | **83.83** |


### 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
2024-03-29 17:35:23 +03:00
Alexander Smorkalov
9716bf95ae
Merge pull request #25294 from asmorkalov:as/InferROI_TestStreamingInfer_supress
Skip InferROI.TestStreamingInfer as unstable as it hangs on CI time-to-time
2024-03-29 15:54:52 +03:00
Alexander Smorkalov
9fc4b61074
Merge pull request #25291 from dkurt:einsum_openvino
Einsum OpenVINO backend
2024-03-29 15:54:26 +03:00
Dmitry Kurtaev
cfa42e4338 Einsum OpenVINO backend 2024-03-29 14:29:45 +03:00
Alexander Smorkalov
a7d6f105e7 Skip InferROI.TestStreamingInfer as unstable as it hangs on CI time-to-time. 2024-03-29 11:33:12 +03:00
zzuliys
2b9d1a2ff8
Merge pull request #24877 from zzuliys:feature/mac
Orbbec Camera supports MacOS,Gemini2 and Gemini2L support Y16 format #24877

note:
1.Gemini2 and Gemini2L must use the latest firmware -- https://github.com/orbbec/OrbbecFirmware;
2.Administrator privileges are necessary to run on MacOS.
2024-03-29 11:23:41 +03:00
Dmitry Kurtaev
01dc010436
Merge pull request #25273 from dkurt:tflite_new_layers
TFLite new layers #25273

### Pull Request Readiness Checklist

resolves https://github.com/opencv/opencv/issues/25272, https://github.com/opencv/opencv/issues/24965

**Merge with extra**: https://github.com/opencv/opencv_extra/pull/1160

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
2024-03-29 11:21:13 +03:00
Alexander Smorkalov
7945f2cf40 Fixed HAL invocation for DCT. 2024-03-29 11:01:42 +03:00
thewoz
afb91b552e
Merge pull request #24415 from thewoz:imread
Add imread #24415

### 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

Hello everyone,
I created this new version of the imread function and I think it can be very useful in several cases.
It is actually passed to it object on which you want to upload the image.
The advantages can be different like in case one needs to open several large images all the same in sequence.
one can use the same pointer and the system would not allocate memory each time.
2024-03-29 10:51:19 +03:00
Alexander Smorkalov
7b9de94003
Merge pull request #25255 from Kumataro:refactor_imgcodec_tiff_add_imwrite_tiff
imgcodecs: tiff: to avoid using TIFFTAG_* directly for imwrite() params.
2024-03-29 10:44:34 +03:00
Michael Klatis
f87e1efd2a
Merge pull request #25092 from klatism:libjpeg-upgrade
libjpeg upgrade to version 9f #25092

Upgrade libjpeg dependency from version 9d to 9f.

- [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
2024-03-28 17:03:05 +03:00
John Slade
7f1140b48b core: Add cgroupsv2 support to parallel.cpp
The parallel code works out how many CPUs are on the system by checking
the quota it has been assigned in the Linux cgroup. The existing code
works under cgroups v1 but the file structure changed in cgroups v2.
From [1]:

    "cpu.cfs_quota_us" and "cpu.cfs_period_us" are replaced by "cpu.max"
  which contains both quota and period.

This commit add support to parallel so it will read from the cgroups v2
location. v1 support is still retained.

Resolves #25284

[1] 0d5936344f
2024-03-28 11:52:47 +00:00
Alexander Smorkalov
1894426116
Merge pull request #25282 from asmorkalov:as/deterministic_undistort_test
Added PNG instance of image for fisheye::undistort test
2024-03-28 13:29:27 +03:00
Alexander Smorkalov
fd576d9e8e Added PNG instance of image for fisheye::undistort test as JPG is decoded differently with different libjpeg versions. 2024-03-28 12:02:58 +03:00
Alexander Smorkalov
a132fd401e
Merge pull request #25264 from lpylpy0514:4.x
fix a bug about vittrack post-process
2024-03-28 09:53:29 +03:00
Maxim Smolskiy
ff9aeaceb0
Merge pull request #25177 from MaximSmolskiy:speed-up-adaptive-image-binary-threshold-in-findChessboardCorners
Speed up adaptive threshold in findChessboardCorners #25177

### Pull Request Readiness Checklist

If `block_size` hasn't been changed between iterations for same `k`, then all `adaptiveThreshold` arguments will be same and we can reuse result from previous iteration.

I tested this PR with benchmark
```
python3 objdetect_benchmark.py --configuration=generate_run --board_x=7 --path=res_chessboard --synthetic_object=chessboard
```
PR speed up chessboards detection by `7.5/17%` without any changes in detected chessboards number:
```
cell_img_size = 100 (default)

before
                                 category  detected chessboard  total detected chessboard  total chessboard  average detected error chessboard
                                      all             0.904167                      13020             14400                           0.600512
Total detected time:  107.27875600000003 sec

after
                                 category  detected chessboard  total detected chessboard  total chessboard  average detected error chessboard
                                      all             0.904167                      13020             14400                           0.600512
Total detected time:  99.0223499999999 sec

----------------------------------------------------------------------------------------------------------------------------------------------

cell_img_size = 10

before
                                 category  detected chessboard  total detected chessboard  total chessboard  average detected error chessboard
                                      all             0.539792                       7773             14400                           4.209964
Total detected time:  2.989205999999999 sec

after
                                 category  detected chessboard  total detected chessboard  total chessboard  average detected error chessboard
                                      all             0.539792                       7773             14400                           4.209964
Total detected time:  2.4802350000000013 sec
```


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
2024-03-27 15:34:54 +03:00
Maxim Smolskiy
e3ff6ce0cc
Merge pull request #25182 from MaximSmolskiy:increase-decomposeProjectionMatrix-precision-for-small-scales
Increase decomposeProjectionMatrix precision for small scales #25182 

### Pull Request Readiness Checklist

Fix #23733

It is checked before that `|s| > DBL_EPSILON` (if not, then `s` will be equal to `0`, but `c` will be equal to `1`, then `z` will be equal to `1` and there will be no any problems with small values), so `sqrt(c^2 + s^2) >= |s| > DBL_EPSILON` and thus small values are already taken into account before and there is no need to add `DBL_EPSILON` to `c^2 + s^2` (and I think adding `DBL_EPSILON^2` instead of `DBL_EPSILON` would be more correct).

I ran `Python` script from issue.

`NumPy` and `SciPy` results
```
*Numpy*
P (case 1): 
[[1. 0. 0. 0.]
 [0. 1. 0. 0.]
 [0. 0. 1. 0.]]
Numpy, R.T @ R - I: 
[[0. 0. 0.]
 [0. 0. 0.]
 [0. 0. 0.]]
Numpy scaled 1e-6, R.T @ R - I: 
[[0. 0. 0.]
 [0. 0. 0.]
 [0. 0. 0.]]
P (case 2): 
[[52. -7.  4. 12.]
 [-6. 49. 12.  8.]
 [ 4. 17.  1.  0.]]
Numpy, R.T @ R - I: 
[[-8.88178420e-16 -3.86302608e-16 -2.52050796e-17]
 [-3.86302608e-16 -5.55111512e-16  7.11675423e-18]
 [-2.52050796e-17  7.11675423e-18 -5.55111512e-16]]
Numpy scaled 1e-6, R.T @ R - I: 
[[ 2.22044605e-16 -2.00683644e-16 -1.90063998e-17]
 [-2.00683644e-16  0.00000000e+00  1.16926308e-17]
 [-1.90063998e-17  1.16926308e-17  2.22044605e-16]]

*Scipy*
P (case 1): 
[[1. 0. 0. 0.]
 [0. 1. 0. 0.]
 [0. 0. 1. 0.]]
Scipy, R.T @ R - I: 
[[0. 0. 0.]
 [0. 0. 0.]
 [0. 0. 0.]]
Scipy scaled 1e-6, R.T @ R - I: 
[[0. 0. 0.]
 [0. 0. 0.]
 [0. 0. 0.]]
P (case 2): 
[[52. -7.  4. 12.]
 [-6. 49. 12.  8.]
 [ 4. 17.  1.  0.]]
Scipy, R.T @ R - I: 
[[-1.11022302e-16 -8.74062812e-18 -1.26178867e-17]
 [-8.74062812e-18 -1.11022302e-16  2.07820373e-17]
 [-1.26178867e-17  2.07820373e-17 -1.11022302e-16]]
Scipy scaled 1e-6, R.T @ R - I: 
[[0.00000000e+00 4.04691435e-17 1.12452918e-16]
 [4.04691435e-17 4.44089210e-16 3.74164141e-16]
 [1.12452918e-16 3.74164141e-16 4.44089210e-16]]

*Numpy*
Numpy, P' - P:
 [[ 1.35525272e-20 -9.31736242e-21  8.47032947e-22  3.38813179e-21]
 [-3.38813179e-21  6.77626358e-21  1.69406589e-21  0.00000000e+00]
 [-1.69406589e-21  0.00000000e+00  0.00000000e+00  4.85524279e-22]]

*Scipy*
Scipy, P' - P:
 [[0.00000000e+00 8.47032947e-22 3.38813179e-21 3.38813179e-21]
 [3.38813179e-21 1.35525272e-20 1.52465931e-20 1.52465931e-20]
 [8.47032947e-22 3.38813179e-21 2.54109884e-21 3.39866995e-21]]
```

`OpenCV` results before
```
*OpenCV*
P (case 1): 
[[1. 0. 0. 0.]
 [0. 1. 0. 0.]
 [0. 0. 1. 0.]]
OpenCV, R.T @ R - I: 
[[0. 0. 0.]
 [0. 0. 0.]
 [0. 0. 0.]]
OpenCV scaled 1e-6, R.T @ R - I: 
[[0. 0. 0.]
 [0. 0. 0.]
 [0. 0. 0.]]
P (case 2): 
[[52. -7.  4. 12.]
 [-6. 49. 12.  8.]
 [ 4. 17.  1.  0.]]
OpenCV, R.T @ R - I: 
[[ 2.22044605e-16 -9.12253504e-17 -2.20527203e-19]
 [-9.12253504e-17  0.00000000e+00 -9.12405093e-18]
 [-2.20527203e-19 -9.12405093e-18  2.22044605e-16]]
OpenCV scaled 1e-6, R.T @ R - I: 
[[-1.28197013e-06  1.30450769e-07  7.67357467e-09]
 [ 1.30450769e-07 -1.52141637e-06 -9.92455574e-09]
 [ 7.67357467e-09 -9.92455574e-09 -1.35328272e-06]]

*OpenCV*
OpenCV, P' - P:
 [[-6.75449076e-11  1.73936564e-11 -4.94463312e-12 -1.61106020e-11]
 [ 1.41759913e-11 -7.54512016e-11 -1.67717374e-11 -9.74644390e-12]
 [-2.90254385e-12 -2.53521998e-11 -1.49130587e-12  4.00724440e-13]]
```

`OpenCV` results after
```
*OpenCV*
P (case 1): 
[[1. 0. 0. 0.]
 [0. 1. 0. 0.]
 [0. 0. 1. 0.]]
OpenCV, R.T @ R - I: 
[[0. 0. 0.]
 [0. 0. 0.]
 [0. 0. 0.]]
OpenCV scaled 1e-6, R.T @ R - I: 
[[0. 0. 0.]
 [0. 0. 0.]
 [0. 0. 0.]]
P (case 2): 
[[52. -7.  4. 12.]
 [-6. 49. 12.  8.]
 [ 4. 17.  1.  0.]]
OpenCV, R.T @ R - I: 
[[ 2.22044605e-16 -9.12253504e-17 -2.20527203e-19]
 [-9.12253504e-17  0.00000000e+00 -9.12405093e-18]
 [-2.20527203e-19 -9.12405093e-18  2.22044605e-16]]
OpenCV scaled 1e-6, R.T @ R - I: 
[[ 0.00000000e+00  4.36198333e-17 -2.66855078e-17]
 [ 4.36198333e-17  2.22044605e-16  3.17216400e-17]
 [-2.66855078e-17  3.17216400e-17 -2.22044605e-16]]

*OpenCV*
OpenCV, P' - P:
 [[ 6.77626358e-21  0.00000000e+00 -8.47032947e-22  1.69406589e-21]
 [-1.69406589e-21  6.77626358e-21  0.00000000e+00  3.38813179e-21]
 [ 8.47032947e-22  3.38813179e-21  2.11758237e-22  1.45657284e-21]]
```

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
2024-03-27 12:43:56 +03:00
Alexander Smorkalov
5874bce144
Merge pull request #25189 from klatism:ios-build-fixes
ios build fixes
2024-03-27 10:05:32 +03:00
Alexander Smorkalov
d664d8d450
Merge pull request #25183 from MaximSmolskiy:fix-bug-in-maskBoundingRect
Fix bug in maskBoundingRect
2024-03-27 09:59:53 +03:00
Alexander Smorkalov
f36dbef74e
Merge pull request #25269 from RoboSchmied:RoboSchmied-AGfixT56
Fix 6 typos
2024-03-26 21:00:06 +03:00
Alexander Smorkalov
4dc461717f
Merge pull request #25258 from AleksandrPanov:fix_rotated_symmetric_grid
Fix detect rotated SYMMETRIC_GRID
2024-03-26 17:23:05 +03:00
Pierre Chatelier
1a537ab98f
Merge pull request #24893 from chacha21:cart_polar_inplace
Added in-place support for cartToPolar and polarToCart #24893

- a fused hal::cartToPolar[32|64]f() is used instead of sequential hal::magnitude[32|64]f/hal::fastAtan[32|64]f
- ipp_polarToCart is skipped for in-place processing (it seems not to support it correctly)

relates to #24891
### 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
2024-03-26 15:38:17 +03:00
Abdul Rahman ArM
55426ee195
Merge pull request #25197 from invarrow:invbranch-cleanup
Remove OpenVX  #25197

resolves https://github.com/opencv/opencv/issues/24995
OpenCV cleanup https://github.com/opencv/opencv/issues/25007
2024-03-26 15:17:18 +03:00
Abduragim Shtanchaev
5319772a56
Merge pull request #25205 from Abdurrahheem:ash/0D-split-test
0D test for split layer #25205

This PR introduces parametrized `0/1D` input support test for `Split` layer.

### 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
2024-03-26 15:13:41 +03:00
Yuantao Feng
accf200408
Merge pull request #25238 from fengyuentau:optimized_const
dnn: avoid const layer forwarding in layer norm layer and attention layer #25238

While profiling ViTs with dnn, I found `ConstLayer` can take a proportion of the inference time, which is weird. This comes from the data copy during the inference of `ConstLayer`. There is a chance that we can improve the efficiency of data copying but the easiest and most convenient way is to avoid `ConstLayer`. This PR change the way how we handle constants in layer normalization layer and attention layer, which is storing in the layer blobs instead of making constant layers for them.

Checklists:

- [x] Backend compatibility in layer normalization layer.

### 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
2024-03-26 15:09:51 +03:00
Yusuke Kameda
6e9dcb87c1
Merge pull request #25237 from YusukeKameda:4.x
doc: add note on handling of spaces in CommandLineParser #25237

### 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
Added note that this class will not work properly if tabs and other whitespace characters are included in the key.
The support of whitespace characters by istringstream, etc. is on hold because the future of this class is not clear compared to implementations in Python and other languages.
2024-03-26 14:20:17 +03:00
alexlyulkov
f0323fdd1e
Merge pull request #25218 from alexlyulkov:al/int64-tile
Allowed int types in Tile and Reduce layers #25218

Allowed any Mat type in Tile layer.
Allowed int64 type in Reduce layer.

ONNX tests with int32 and int64 inputs will be added later in a separate PR


### 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
2024-03-26 14:00:35 +03:00
Alexander Smorkalov
a33de44b0b
Merge pull request #25212 from alexlyulkov:al/dnn-int64-scatter
Added int64 values support to scatter, scatterND and maxunpool layers
2024-03-26 13:52:28 +03:00
RoboSchmied
8f4dbdad0e Fix: 6 typos
Signed-off-by: Michael Seibt <github@roboschmie.de>
2024-03-26 02:32:54 +01:00
Alex
eaa88e7bc7 fix detect rotated grid, added test 2024-03-25 14:07:03 +03:00
Alexander Smorkalov
fc34554475
Merge pull request #25184 from dkurt:avoid_extra_memset
Avoid extra memset
2024-03-25 13:07:49 +03:00
Alexander Smorkalov
aa5f7727d8
Merge pull request #25249 from carabsc:cara_changes
Added support for V4L2_PIX_FMT_SGRBG8 pixel format to V4L2 backend
2024-03-25 10:55:36 +03:00
lpylpy0514
84a1248b0a fix a bug about vittrack post-process 2024-03-25 15:40:34 +08:00
Yuantao Feng
025e7602b9
Merge pull request #25166 from fengyuentau:fix_cann_gemm
dnn (CANN): Fix incorrect shape of 1d bias in Gemm #25166

Gemm layer was refactored some time ago. Users found that the mobilenet example in https://github.com/opencv/opencv/wiki/Huawei-CANN-Backend does not work because of incorrect shape set for 1d bias in Gemm. This PR resolves this issue.

### 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
2024-03-25 09:47:28 +03:00
Dmitry Kurtaev
0b6c9a2123
Merge pull request #25181 from dkurt:release_conv_weights
Release convolution weightsMat after usage #25181

### Pull Request Readiness Checklist

related (but not resolved): https://github.com/opencv/opencv/issues/24134

Minor memory footprint improvement. Also, adds a test for VmHWM.

RAM top memory usage (-230MB)

| YOLOv3 (237MB file) |   4.x   |    PR   |
|---------------------|---------|---------|
| no winograd         | 808 MB  | 581 MB  |
| winograd            | 1985 MB | 1750 MB |

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
2024-03-25 09:03:28 +03:00
Kumataro
bbfded21ac imgcodecs: tiff: to avoid using TIFFTAG_* directly for imwrite() params.
Normaly, we sets IMWRITE_* flags for imwrite() params.
But imgcodecs expects to use some TIFFTAG_* directory.
This patch introduce IMWRITE_TIFF_ROWSPERSTRIP and
IMWRITE_TIFF_PREDICTOR instead of TIFFTAG_*.
2024-03-23 10:16:30 +09:00
alexlyulkov
f8319de976
Added int support to CumSum layer (#25214)
* Added int support to CumSum layer

* Allowed int types in CumSum layer

---------

Co-authored-by: Alexander Lyulkov <alexander.lyulkov@opencv.ai>
2024-03-22 04:35:43 +03:00
Michael Klatis
52f3f5a3f6
libtiff upgrade to version 4.6.0 (#25096)
* libtiff upgrade to version 4.6.0

* fix tiffvers.h cmake generation

* temp: force build 3rd party deps from source

* remove libport.h and spintf.c

* cmake fixes

* don't use tiff_dummy_namespace on windows

* introduce numeric_types namespace alias

* include cstdint

* uint16_t is not a numeric_types type

* fix uint16 and uint32 type defs

* use standard c++ types

* remove unused files

* remove more unused files

* revert build 3rd party code from source

---------

Co-authored-by: Misha Klatis <misha.klatis@autodesk.com>
2024-03-22 04:08:16 +03:00
Abduragim Shtanchaev
d188319b82
0D test for Reshape layer (#25206)
* reshape test for 0D

* fix comments according to PR
2024-03-22 03:59:08 +03:00
Yuantao Feng
8e342f8857
5.x core: rename cv::bfloat16_t to cv::bfloat (#25232)
* rename cv::bfloat16_t to cv::bfloat

* clean class bfloat
2024-03-22 03:45:59 +03:00
alexlyulkov
aa9e80b07b
Added native int64 indices support to gather layer (#25211)
Co-authored-by: Alexander Lyulkov <alexander.lyulkov@opencv.ai>
2024-03-22 03:43:20 +03:00
alexlyulkov
f2cf3c8890
Added int support to flatten, permute, reshape, slice layers (#25236)
Co-authored-by: Alexander Lyulkov <alexander.lyulkov@opencv.ai>
2024-03-22 03:39:42 +03:00
Yuantao Feng
3afe8ddaf8
core: Rename cv::float16_t to cv::hfloat (#25217)
* rename cv::float16_t to cv::fp16_t

* add typedef fp16_t float16_t

* remove zero(), bits() from fp16_t class

* fp16_t -> hfloat

* remove cv::float16_t::fromBits; add hfloatFromBits

* undo changes in conv_winograd_f63.simd.hpp and conv_block.simd.hpp

* undo some changes in dnn
2024-03-21 23:44:19 +03:00
WU Jia
aa5ea340f7
Move objdetect HaarCascadeClassifier and HOGDescriptor to contrib xobjdetect (#25198)
* Move objdetect parts to contrib

* Move objdetect parts to contrib

* Minor fixes.
2024-03-21 23:40:10 +03:00
Carlos Azevedo
8d5dd2e5c2 Added support for V4L2_PIX_FMT_SGRBG8 pixel format to V4L2 backend 2024-03-21 18:54:27 +00:00
Oleg Pipikin
6da2ddcf0e Fix for OpenVINO 2024.0
Remove support OpenVINO lower than 2022.1 release
Remove legacy InferenceEngine wrappers
2024-03-18 15:05:50 +04:00
Alexander Alekhin
625eebad54 Merge pull request #25203 from mshabunin:fix-scalable-intrin-test 2024-03-14 09:37:13 +00:00
Alexander Alekhin
60ca3d259e Merge pull request #25204 from mshabunin:fix-rvv-vne 2024-03-14 08:38:29 +00:00
Maksim Shabunin
6fc926ea4d Updated RVV intrinsics and test to remove initializer_list 2024-03-13 21:16:58 +03:00
Alexander Lyulkov
d2d6869a26 Added int64 values support to scatter, scatterND and maxunpool layers 2024-03-13 15:40:07 +03:00
alexlyulkov
85cc02f4de
Allowed int64 constants in ONNX parser (#25148)
* Removed automatic int64 to int32 conversion in ONNX parser

* Fixed wrong rebase code

* added tests, minor fixes

* fixed Cast layer

* Fixed Cast layer for fp16 backend

* Fixed Cast layer for fp16 backend

* Fixed Cast layer for fp16 backend

* Allowed uint32, int64, uint64 types in OpenCL

* Fixed Cast layer for fp16 backend

* Use randu in test_int

---------

Co-authored-by: Alexander Lyulkov <alexander.lyulkov@opencv.ai>
2024-03-13 11:48:23 +03:00
Maksim Shabunin
01a4abb2c2 RISC-V: fixed comparison of float32 vectors 2024-03-12 22:05:38 +03:00
Maksim Shabunin
8550c415ef doc: fix formulas in JavaDoc broken after Doxygen upgrade 2024-03-11 23:47:23 +03:00
MaximSmolskiy
7fe1664bbf Use initial quads corners in ChessBoardDetector::findQuadNeighbors 2024-03-10 17:49:27 +03:00
Misha Klatis
50b36ef823 ios build fixes 2024-03-08 10:22:54 -08:00
Dmitry Kurtaev
6a370ba9e7 Avoid extra memset in convolution initialization 2024-03-08 10:46:07 +03:00
MaximSmolskiy
ed93384817 Fix bug in maskBoundingRect 2024-03-08 03:25:40 +03:00
Dmitry Matveev
f174363f60
Merge pull request #25055 from dmatveev:dm/value_initialized_gmat
G-API: A quick value-initialization support GMat #25055

This PR enables `GMat` objects to be value-initialized in the same way as it was done for `GScalar`s (and, possibly, other types).

- Added some helper methods in backends to distinguish if a certain G-type value initialization is supported or not;
- Added tests, including negative.

Where it is needed:

- Further extension of the OVCV backend (#24379 - will be refreshed soon);
- Further experiments with DNN module;
- Further experiments with "G-API behind UMat" sort of aggregation.

In the current form, PR can be reviewed & merged (@TolyaTalamanov please have a look)

### 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
- [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
2024-03-06 17:15:49 +03:00
Alexander Smorkalov
0e524ee95a
Merge pull request #25145 from MaximSmolskiy:improve-contours-approximations-in-ChessBoardDetector-generateQuads-2
Improve contours approximations in ChessBoardDetector::generateQuads
2024-03-06 14:03:50 +03:00
Alexander Smorkalov
66ff71085e
Merge pull request #25163 from dkurt:onnx_graph_ref
Avoid copy of ONNX graph during import
2024-03-06 10:17:15 +03:00
Maksim Shabunin
de29223217
Merge pull request #25161 from mshabunin:doc-upgrade-5.x
Documentation transition to fresh Doxygen (5.x) #25161 

Port of #25042

Merge with opencv/opencv_contrib#3687
CI part: opencv/ci-gha-workflow#162
2024-03-06 08:50:31 +03:00
Alexander Smorkalov
0f468a7f35
Merge pull request #25162 from mshabunin:doc-upgrade-fix
doc: removed duplicated markdown file
2024-03-05 20:25:35 +03:00
Maksim Shabunin
7b77ebc8c3 doc: removed duplicated markdown file, fixed gapi tutorial 2024-03-05 18:47:08 +03:00
Dmitry Kurtaev
98aed21dd4 Avoid copy of ONNX graph during import 2024-03-05 18:22:46 +03:00
Alexander Smorkalov
f2c38eb62f Backport some highgui changes from #22754 2024-03-05 17:49:01 +03:00
Kumataro
b34ec57682
Merge pull request #25141 from Kumataro:fix25140_4.x
calib3d: doc: remove C API link (For 4.x) #25141

Related to #25140 (for 4.x)

### 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
2024-03-05 16:24:42 +03:00
Maksim Shabunin
bf06e3d09f
Merge pull request #25042 from mshabunin:doc-upgrade
Documentation transition to fresh Doxygen #25042

* current Doxygen version is 1.10, but we will use 1.9.8 for now due to issue with snippets (https://github.com/doxygen/doxygen/pull/10584)
* Doxyfile adapted to new version
* MathJax updated to 3.x
* `@relates` instructions removed temporarily due to issue in Doxygen (to avoid warnings)
* refactored matx.hpp - extracted matx.inl.hpp
* opencv_contrib - https://github.com/opencv/opencv_contrib/pull/3638
2024-03-05 16:19:45 +03:00
Alexander Smorkalov
c6776ec136
Merge pull request #25159 from Kumataro:trial_to_fix_cv_check_24411
dnn: fix to iteration variable scope
2024-03-05 16:01:25 +03:00
Kumataro
216c6c3da1 dnn: fix to iteration variable scope 2024-03-05 18:33:56 +09:00
Maksim Shabunin
8cbdd0c833
Merge pull request #25075 from mshabunin:cleanup-imgproc-1
C-API cleanup: apps, imgproc_c and some constants #25075

Merge with https://github.com/opencv/opencv_contrib/pull/3642

* Removed obsolete apps - traincascade and createsamples (please use older OpenCV versions if you need them). These apps relied heavily on C-API
* removed all mentions of imgproc C-API headers (imgproc_c.h, types_c.h) - they were empty, included core C-API headers
* replaced usage of several C constants with C++ ones (error codes, norm modes, RNG modes, PCA modes, ...) - most part of this PR (split into two parts - all modules and calib+3d - for easier backporting)
* removed imgproc C-API headers (as separate commit, so that other changes could be backported to 4.x)

Most of these changes can be backported to 4.x.
2024-03-05 12:18:31 +03:00
Alexander Smorkalov
daa8f7dfc6 Partially back-port #25075 to 4.x 2024-03-05 12:15:39 +03:00
Alexander Smorkalov
2d0f928934
Merge pull request #24724 from tomoaki0705:carotene_warnings
build: suppress warning ARM64 + Visual Studio build
2024-03-04 09:55:13 +03:00
Laurent Berger
5fe3933346
Merge pull request #25120 from LaurentBerger:I25103
Fixed ReduceMean layer behaviour #25120

### 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

a93c31e3c9/onnxruntime/core/providers/cpu/reduction/reduction_ops.cc (L433-L443)
2024-03-04 09:36:53 +03:00
MaximSmolskiy
c346ee1c29 Improve contours approximations in ChessBoardDetector::generateQuads 2024-03-03 23:05:29 +03:00
Yuya Unno
500c55a808
Merge pull request #25122 from unnonouno:pqueue
Use std::priority_queue in inpaint function for performance improvement #25122

In `cv::inpaint` implementation, it uses a priority queue with O(n) time linear search. For large images it is very slow.
I replaced it with C++'s standard library `std::priority_queue`, that uses O(log(n)) algorithm.
In my use case, it is x10 faster than the original.

### 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
- [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
2024-03-02 13:43:58 +03:00
Tomoaki Teshima
52e280e94b suppress warning ARM64 + Visual Studio build
* follow the message
2024-03-02 19:08:20 +09:00
alexlyulkov
1d1faaabef
Merge pull request #24411 from alexlyulkov:al/dnn-type-inference
Added int32, int64 support and type inference to dnn #24411

**Added a type inference to dnn similar to the shape inference, added int32 and int64 support.**

- Added getTypes method for layers that calculates layer outputs types and internals types from inputs types (Similar to getMemoryShapes). By default outputs and internals types = input[0] type
- Added type inference pipeline similar to shape inference pipeline. LayersShapes struct (that is used in shape inference pipeline) now contains both shapes and types
- All layers output blobs are now allocated using the calculated types from the type inference.
- Inputs and constants with int32 and int64 types are not automatically converted into float32 now.
- Added int32 and int64 support for all the layers with indexing and for all the layers required in tests.

Added  int32 and int64 support for CUDA:
- Added host<->device data moving for int32 and int64
- Added int32 and int64 support for several layers (just slightly modified CUDA C++ templates)

Passed all the accuracy tests on CPU, OCL, OCL_FP16, CUDA, CUDA_FP16. (except RAFT model)

**CURRENT PROBLEMS**:
-  ONNX parser always converts int64 constants and layers attributes to int32, so some models with int64 constants doesn't work (e.g. RAFT). The solution is to disable int64->int32 conversion and fix attributes reading in a lot of ONNX layers parsers (https://github.com/opencv/opencv/issues/25102)
- I didn't add type inference and int support to VULCAN, so it doesn't work at all now.
- Some layers don't support int yet, so some unknown models may not work.

**CURRENT WORKAROUNDS**:
- CPU arg_layer indides are implemented in int32 followed by a int32->int64 conversion (the master branch has the same workaround with int32->float conversion)
- CPU and OCL pooling_layer indices are implemented in float followed by a float->int64 conversion
- CPU gather_layer indices are implemented in int32, so int64 indices are converted to int32 (the master branch has the same workaround with float->int32 conversion)

**DISABLED TESTS**:
- RAFT model

**REMOVED TESTS**:
- Greater_input_dtype_int64 (because it doesn't fit ONNX rules, the whole test is just comparing float tensor with int constant)

**TODO IN NEXT PULL REQUESTS**:
- Add int64 support for ONNX parser
- Add int support for more layers
- Add int support for OCL (currently int layers just run on CPU)
- Add int tests
- Add int support for other backends
2024-03-01 17:07:38 +03:00
CSBVision
e8582f2cf8 Update net_impl.cpp
See issue #25112
2024-03-01 14:56:00 +01:00
Alexander Smorkalov
81956ad83e
Merge pull request #25124 from asmorkalov:as/dnn_1d
Extracted 1d test cases to reduce conflicts with 4.x.
2024-02-29 14:50:28 +03:00
Zhangjie Chen
0e47b05106
Merge pull request #23985 from starga2er777:pcc
[GSoC] Update octree methods and create frames for PCC #23985

## PR for GSoC Point Cloud Compression
[Issue for GSoC 2023](https://github.com/opencv/opencv/issues/23624)

* We are **updating the Octree method create() by using OctreeKey**: Through voxelization, directly calculate the leaf nodes that the point cloud belongs to, and omit the judgment whether the point cloud is in the range when inserted. The index of the child node is calculated by bit operation.
* We are also **introducing a new header file pcc.h (Point Cloud Compression) with API framework**.
* We added tests for restoring point clouds from an octree.
* Currently, the features related to octree creation and point cloud compression are part of the internal API, which means they are not directly accessible to users. However, our plan for the future is to **include only the 'PointCloudCompression' class in the 'opencv2/3d.hpp' header file**. This will provide an interface for utilizing the point cloud compression functionality.

The previous PR of this was closed due to repo name conflicts, therefore we resubmitted in this PR.

### 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
2024-02-29 14:02:44 +03:00
Alexander Smorkalov
fc98b31c3e Partially backport C API removal in imgproc module to reduce conflicts with 5.x 2024-02-29 12:42:19 +03:00
Alexander Smorkalov
010772b492 Extracted 1d test cases to reduce conflicts with 4.x. 2024-02-29 12:02:00 +03:00
Alexander Smorkalov
92b940792a
Merge pull request #25117 from Abdurrahheem:ash/scale-layer-1D-test
Scale layer 1d test
2024-02-29 11:32:13 +03:00
Alexander Smorkalov
a22130fbfa Merge branch 4.x 2024-02-28 18:49:05 +03:00
Pierre Chatelier
5e5a035c5b
Merge pull request #24621 from chacha21:remap_relative
First proposal of cv::remap with relative displacement field (#24603) #24621

Implements #24603

Currently, `remap()` is applied as `dst(x, y) <- src(mapX(x, y), mapY(x, y))` It means that the maps must be filled with absolute coordinates.

However, if one wants to remap something according to a displacement field ("warp"), the operation should be `dst(x, y) <- src(x+displacementX(x, y), y+displacementY(x, y))`

It is trivial to build a mapping from a displacement field, but it is an undesirable overhead for CPU and memory.

This PR implements the feature as an experimental option, through the optional flag WARP_RELATIVE_MAP than can be ORed to the interpolation mode.

Since the xy maps might be const, there is no attempt to add the coordinate offset to those maps, and everything is postponed on-the-fly to the very last coordinate computation before fetching `src`. Interestingly, this let `cv::convertMaps()` unchanged since the fractional part of interpolation does not care of the integer coordinate offset.

### 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
2024-02-28 17:20:33 +03:00
Yuantao Feng
5aa5c39210
Merge pull request #25076 from fengyuentau:improve_attention
dnn: try improving performance of Attention layer #25076

Checklist:

- [x] Use `Mat` over `Mat::zeros` for temporary buffer in forward
- [x] Use layer internal buffer over temporary Mat buffer
- [x] Try a single fastGemmBatch on the Q/K/V calculation

Performance:

Performance test case is `Layer_Attention.VisionTransformer/0`, which has input of shape {1, 197, 768}, weight of shape {768, 2304} and bias {2304}.

Data is in millisecond.

| | macOS 14.2.1, Apple M1 | Ubuntu 22.04.2, Intel i7 12700K |
| - | - | - |
| Current | 10.96 | 1.58 |
| w/ Mat | 6.27 | 1.41 |
| w/ Internals | 5.87 | 1.38 |
| w/ fastGemmBatch | 6.12 | 2.14 |


### 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
2024-02-28 16:47:08 +03:00
Abdurrahheem
161c402f02 seperated working scale layer 1d test. 2024-02-28 13:04:48 +04:00
WU Jia
6722d4a524
Merge pull request #25017 from kaingwade:ml_to_contrib
Move ml to opencv_contrib #25017
OpenCV cleanup: #24997

opencv_contrib: opencv/opencv_contrib#3636
2024-02-27 15:54:08 +03:00
Laurent Berger
3c712cf77d
Merge pull request #25100 from LaurentBerger:I25077
Fix issue #25077 #25100

Fixes https://github.com/opencv/opencv/issues/25077

### 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
2024-02-27 14:15:11 +03:00
Dhanwanth1803
c04750ab57
Merge pull request #25091 from Dhanwanth1803:scoreThresh
Fixes #25056 : Optimising postProcess(const std::vector<Mat>& output_blobs) #25091

Like mentioned in the issue #25056 , I think checking the condition with `scoreThreshold` and then assigning the bounding boxes can optimize the function pretty well. By doing this, we prevent allocating boxes to faces with scores below the threshold. It also reduces the amount of data that needs to be processed during the subsequent NMS step. Builds and passed locally.

- [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

Co-authored-by: Dhanwanth1803 <dhanwanthvarala@gmail,com>
2024-02-27 12:10:52 +03:00
Adrian Kretz
e0b489e917
Merge pull request #25050 from akretz:fix_issue_24330
Handle degenerate cases in RQDecomp3x3 #25050

The point of the Givens rotations here is to iteratively set the lower left matrix entries to zero. If an element is zero already, we don't need to do anything. This resolves #24330.

### 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
2024-02-27 08:10:21 +03:00
Alexander Smorkalov
cb7d38b477 Merge branch 4.x 2024-02-26 18:05:36 +03:00
Alexander Smorkalov
4c549b8707
Merge pull request #25061 from asmorkalov:as/register_cameras
RegisterCameras function for heterogenious cameras pair #25061

Credits to Linfei Pan
Extracted from https://github.com/opencv/opencv/pull/24052

### 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

---------

Co-authored-by: lpanaf <linpan@student.ethz.ch>
2024-02-26 15:45:18 +03:00
Sergei Shutov
6ca45a9d33
Merge pull request #23018 from stopmosk:move-aruco-tutorial
Move Aruco tutorials and samples to main repo #23018

merge with https://github.com/opencv/opencv_contrib/pull/3401
merge with https://github.com/opencv/opencv_extra/pull/1143

### 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

---------
Co-authored-by: AleksandrPanov <alexander.panov@xperience.ai>
Co-authored-by: Alexander Smorkalov <alexander.smorkalov@xperience.ai>
2024-02-26 14:57:46 +03:00
Alexander Smorkalov
faba2d8148
Merge pull request #25067 from danoli3:master
Update ios_conversions.mm - Fix Mac Catalyst compile target
2024-02-26 14:28:10 +03:00
Alexander Smorkalov
37e056c06c
Merge pull request #25079 from lxk696:4.x
fix [use hasattr("cv2", "name") ,but first param is 'character string',
2024-02-26 12:46:17 +03:00
Maxim Smolskiy
853f7ff904
Merge pull request #25090 from MaximSmolskiy:compensate-edge-length-in-ChessBoardDetector-generateQuads-attempt-2
Compensate edge length in ChessBoardDetector::generateQuads (attempt 2) #25090

### Pull Request Readiness Checklist

New attempt for #24833, which was reverted as #25036.

Locally I fixed `Calib3d_StereoCalibrate_CPP.regression` test by corners refinement using `cornerSubPix` function

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
2024-02-26 12:12:53 +03:00
Dan Rosser
e596680939 Update ios_conversions.mm
Define fix for Mac Catalyst iOS
2024-02-26 19:21:52 +11:00
Székely Gábor
6f48cb78b6
Merge pull request #25084 from EDVTAZ:emscripten-3.1.54-compat
Add compatibility with latest (3.1.54) emsdk version #25084

### 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
- [ ] 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

### Details

I was following [this tutorial](https://docs.opencv.org/4.9.0/d4/da1/tutorial_js_setup.html) for building opencv with wasm target. The tutorial mentions that the last verified version of emscripten that is tested with opencv is 2.0.10, but I was curious if I could get it to work with more recent versions. I've run into a few issues with the latest version, for which fixes are included in this PR. I've found a few issues that have the same problems I encountered:

- https://github.com/opencv/opencv/issues/24620
- https://github.com/opencv/opencv/issues/20313
- https://stackoverflow.com/questions/77469603/custom-opencv-js-wasm-using-cv-matfromarray-results-in-cv-mat-is-not-a-co
- https://github.com/emscripten-core/emscripten/issues/14803
- https://github.com/opencv/opencv/issues/24572
- https://github.com/opencv/opencv/issues/19493#issuecomment-857167996

I used the docker image for building and comparing results with different emsdk versions. I tested by building with `--build_wasm` and `--build-test` flags and ran the tests in the browser. I addressed the following issues with newer versions of emscripten:

- In newer versions `EMSCRIPTEN` environemnt variable was stopped being set. I added support for deriving location based on the `EMSDK` environment variable, as suggested [here](https://github.com/emscripten-core/emscripten/issues/14803)
- In newer versions emcmake started passing `-DCMAKE...` arguments, however the opencv python script didn't know how to handle them. I added processing to the args that will forward all arguments to `cmake` that start with `-D`. I opted for this in hopes of being more futureproof, but another approach could be just ignoreing them, or explicitly forwarding them instead of matching anything starting with `-D`. These approches were suggested [here](https://github.com/opencv/opencv/issues/19493#issuecomment-855529448)
- With [version 3.1.31](https://github.com/emscripten-core/emscripten/blob/main/ChangeLog.md#3131---012623) some previously exported functions stopped being automatically exported. Because of this, `_free` and `_malloc` were no longer available and had to be explicitly exported because of breaking tests.
- With [version 3.1.42](https://github.com/emscripten-core/emscripten/compare/3.1.41...3.1.42#diff-e505aa80b2764c0197acfc9afd8179b3600f0ab5dd00ff77db01879a84515cdbL3875) the `post-js` code doesn't receive the module named as `EXPORT_NAME` anymore, but only as `moduleArg`/`Module`. This broke existing code in `helpers.js`, which was referencing exported functions through `cv.Mat`, etc. I changed all of these references to use `Module.Mat`, etc. If it is preferred, alternatively the `cv` variable could be reintroduced in `helper.js` as suggested [here](https://github.com/opencv/opencv/issues/24620)

With the above changes in place, I can successfully build and run tests with the latest emscripten/emsdk docker image (also with 2.0.10 and most of the other older tags, except for a few that contain transient issues like [this](https://github.com/emscripten-core/emscripten/issues/17700)).

This is my first time contributing to opencv, so I hope I got everything correct in this PR, but please let me know if I should change anything!
2024-02-26 10:30:56 +03:00
Alexander Smorkalov
ae347ab493
Merge pull request #25083 from mamut-m:fix_docs_for_reprojectImageTo3D
Fixing the formula in the documentation of reprojectImageTo3D
2024-02-24 18:09:23 +03:00
Alexander Smorkalov
cbec3f012d
Merge pull request #25086 from ryo8000:fix-typo
Fixed typo.
2024-02-24 18:08:55 +03:00
Alexander Smorkalov
a2e23fa988
Merge pull request #25059 from opencv-pushbot:gitee/alalek/core_fix_float16
core: fix float16_t optimization condition
2024-02-24 13:28:05 +03:00
Ryo H
e4ef88c623 Fixed typo. 2024-02-24 18:03:18 +09:00
Markus Murschitz
f9a7d3b90c changed formular in documentation of reprojectImageTo3D to fit the actual algorithm 2024-02-23 23:09:12 +01:00
刘雄康
ba483dfbb8 fix [use hasattr("cv2", "name") ,but first param is 'character string',
resulting in an error in the judgment condition]
2024-02-23 22:02:43 +08:00
Dmitry Matveev
d792086ba6
Merge pull request #25060 from dmatveev:dm/gapi_test_time
G-API: Make test execution lighter (first attempt) #25060

### Background

G-API tests look running longer than tests for the rest of modules (e.g., 5m), and the analysis show that there's several outliers in G-API test suite which take a lot of time but don't improve the testing quality much:
![image](https://github.com/opencv/opencv/assets/144187/e6df013f-e548-47ac-a418-285b3f78c9f8)

In this PR I will cut the execution time to something reasonable.

### Contents

- Marked some outliers as `verylong`:
  - OneVPL barrier test - pure brute force
  - Stateful test in stream - in fact BG Sub accuracy test clone
- Restructured parameters instantiation in Streaming tests to generate less test configurations (54 -> 36)

### 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
2024-02-22 16:40:33 +03:00
Vadim Pisarevsky
2d204243af
Merge pull request #25064 from vpisarev:em_5point_fix
Fix very slow compilation of five-point algorithm on some platforms (e.g. Qualcomm) #25064

Thanks to our big friend and long-term contributor for the patch!

### 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
2024-02-22 12:04:13 +03:00
Alexander Smorkalov
296a90ae01
Merge pull request #25062 from TinyTinni:missing-const
Adds missing const in function declaration of VideoCapture
2024-02-22 10:23:24 +03:00
Alexander Smorkalov
6c21a80ef7
Merge pull request #24946 from alexlyulkov:al/kotlin-tests2
Added Kotlin test, changed Kotlin version for OpenCV
2024-02-22 09:30:45 +03:00
Abduragim Shtanchaev
093ed08892
Merge pull request #24977 from Abdurrahheem:ash/primitive_1d_tests
Primitive 1D Tests #24977

This PR is designed to add tests for 1D inputs for layer, which is required after introducing 1d support in 5.x. Currently tests are written for following layers: 

- [x] `Add`, `Sub`
- [x]  `Product`, `Div`
- [x]  `Min`, `Max`
- [x] `Argmin`, `Argmax`
- [x] `Gather` 

This list is to be extended for more layer such `gemm`, `conv` etc.

### 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
2024-02-21 17:37:49 +03:00
Matthias Möller
e537e1650d adds missing const 2024-02-21 12:31:07 +01:00
Anatoliy Talamanov
5fbf3d85bf
Merge pull request #25054 from TolyaTalamanov:at/gapi-lower-supported-ie-backend-version
G-API: Lower supported IE backend version #25054

Related to https://github.com/opencv/opencv/issues/25053

### 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
- [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
2024-02-21 11:45:36 +03:00
Alexander Alekhin
02504e2bdb core: fix float16_t optimization condition
- resolves issue on Windows ARM64
2024-02-21 08:11:32 +00:00
Vincent Rabaud
f8aa2896a1
Merge pull request #25024 from vrabaud:neon
Replace legacy __ARM_NEON__ by __ARM_NEON #25024

Even ACLE 1.1 referes to __ARM_NEON
https://developer.arm.com/documentation/ihi0053/b/?lang=en

### 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
2024-02-20 11:29:23 +03:00
Alexander Smorkalov
f8ef646312
Merge pull request #25046 from AleksandrPanov:fix_QRArucoParameters
fix setArucoParameters in QRCodeDetectorAruco, add const to getArucoParameters
2024-02-20 09:29:57 +03:00
Alexander Smorkalov
54be266938
Merge pull request #25044 from akretz:fix_issue_24348
Fix testMahalanobis
2024-02-19 12:58:23 +03:00
Rostislav Vasilikhin
fa745553bf
Merge pull request #24459 from savuor:tri_rasterize
Triangle rasterization function #24459

#24065 reopened since the previous one was automatically closed after rebase
Connected PR with ground truth data: [#1113@extra](https://github.com/opencv/opencv_extra/pull/1113)

### Pull Request Readiness Checklist

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- [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
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      Patch to opencv_extra has the same branch name.
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2024-02-19 12:23:05 +03:00
Alexander Smorkalov
f084a229b4 Merge branch 4.x 2024-02-19 09:06:26 +03:00
Alex
9e7ec59a41 fixed setArucoParameters/getArucoParameters 2024-02-19 00:12:36 +03:00
Alex
e03231e6aa fix unnecessary copying 2024-02-18 23:45:49 +03:00
Adrian Kretz
3473b8a653 Generate invertible covariance matrix 2024-02-18 20:09:53 +01:00
Yuantao Feng
d4fd5157fa
Merge pull request #24980 from fengyuentau:on-fly-quantization-removal
dnn cleanup: On-fly-quantization removal #2498

On-fly-quantization is first introduced via https://github.com/opencv/opencv/pull/20228.
We decided to remove it but keep int8 layers implementation because on-fly-quantization
is less practical given the fact that there has been so many dedicated tools for model
quantization.

### Pull Request Readiness Checklist

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2024-02-16 18:21:45 +03:00
Dhanwanth1803
12aa0fe898
Merge pull request #24985 from Dhanwanth1803:hardswish
Fixes #24974 support HardSwishInt8 #24985

As given very clearly in the issue #24974 I made the required 2 changes to implement HardSwish Layer in INT8. Requesting comments.

resolves https://github.com/opencv/opencv/issues/24974

- [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
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      Patch to opencv_extra has the same branch name.
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Co-authored-by: Dhanwanth1803 <dhanwanthvarala@gmail,com>
2024-02-16 18:19:29 +03:00
Alexander Smorkalov
bd73b7bcf5
Merge pull request #25028 from asmorkalov:as/fisheye_solvepnp
solvePnP implementation for Fisheye camera model #25028

Credits to Linfei Pan
Extracted from https://github.com/opencv/opencv/pull/24052

**Warning:** The patch changes Obj-C generator behaviour and adds "fisheye_" prefix for all ObjC functions from namespace.

### Pull Request Readiness Checklist

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Co-authored-by: lpanaf <linpan@student.ethz.ch>
Co-authored-by: Vadim Levin <vadim.levin@xperience.ai>
2024-02-16 17:54:40 +03:00
Alexander Smorkalov
7bea25a60c
Merge pull request #25030 from asmorkalov:as/fisheye_initial_f
Changed initial estimation for F in fisheye calibration
2024-02-16 17:18:43 +03:00
Alexander Panov
b2db959619
Merge pull request #25035 from AleksandrPanov:fix_Barcode_detectAndDecode
Fix barcode detectAndDecode #25035

The method `detectAndDecode()` in the `BarcodeDetector` class doesn't return the barcode corners.
This PR fixes the and add test for `detectAndDecode`.

### Pull Request Readiness Checklist

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- [x] The PR is proposed to the proper branch
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      Patch to opencv_extra has the same branch name.
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2024-02-16 16:37:49 +03:00