Commit Graph

33566 Commits

Author SHA1 Message Date
alexlyulkov
81656597e9
Merge pull request #24622 from alexlyulkov:al/fixed-android-sample-img-save
Fixed problem with saving images in Android sample #24622

Fixes https://github.com/opencv/opencv/issues/24590

Current code for saving images in Android sample worked only on very old phones.
Added support for modern Android versions.

Required:
- https://github.com/opencv/ci-gha-workflow/pull/127
- https://github.com/opencv-infrastructure/opencv-gha-dockerfile/pull/27
2023-12-04 10:00:40 +03:00
Alexander Smorkalov
408730b7ab
Merge pull request #24618 from vrabaud:compilation
Fix compilation on some 32-bit windows
2023-12-01 09:10:30 +03:00
Alexander Smorkalov
21d5a41e92
Merge pull request #24599 from asmorkalov:as/android_face_detect_dnn
Migrate Android Face Detection sample to DNN.
2023-11-30 17:43:26 +03:00
Alexander Smorkalov
4cfbc5af08
Merge pull request #24625 from asmorkalov:as/mjpeg_encoder_status
Report correct open status from Bitstream
2023-11-30 16:42:01 +03:00
Alexander Smorkalov
3893936243
Merge pull request #24565 from CNClareChen:4.x
Change the lsx to baseline features.
2023-11-30 15:27:49 +03:00
Alexander Smorkalov
ac649b2ffd
Merge pull request #24616 from asmorkalov:as/android_mobilenet_refresh
Fix Android sample mobilenet-ssd detector
2023-11-30 15:18:26 +03:00
Alexander Smorkalov
1db23e0f12 Report correct open status from Bitstream. 2023-11-30 15:16:27 +03:00
Alexander Smorkalov
9d454fed93 Fix build for Android sample mobilenet-ssd detector. 2023-11-30 12:02:03 +03:00
Alexander Smorkalov
e20250139a
Merge pull request #24582 from hanliutong:rvv-lut
Optimize the v_lut* functions for RISC-V Vector(RVV).
2023-11-30 10:59:51 +03:00
Maxim Smolskiy
10c43e5642
Merge pull request #24597 from MaximSmolskiy:fix-bug-in-ChessBoardDetector-findQuadNeighbors
Fix bug in ChessBoardDetector::findQuadNeighbors #24597

### 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
2023-11-30 10:59:06 +03:00
Alexander Smorkalov
d97ed516a8
Merge pull request #24619 from philnelson:patch-1
Update README.md - Add campaign and additional resources
2023-11-30 10:32:53 +03:00
Phil Nelson
2b85894826
Update README.md - Add campaign and additional resources
Added campaign info to top of README, as well as Additional Resources such as our social profiles, cool stuff submission form, and volunteer form.
2023-11-29 18:29:35 -08:00
Vincent Rabaud
0812659e92 Fix compilation on some 32-bit windows
I do not have more info on the platform as it is internal.

Without this fix, the error is:
core/src/arithm.simd.hpp:868:1: error: too few arguments provided to function-like macro invocation
  868 | DEFINE_SIMD_ALL(cmp)
      | ^
./third_party/OpenCV/public/modules/./core/src/arithm.simd.hpp:93:5: note: expanded from macro 'DEFINE_SIMD_ALL'
   93 |     DEFINE_SIMD_NSAT(fun, __VA_ARGS__)
      |     ^
./third_party/OpenCV/public/modules/./core/src/arithm.simd.hpp:89:5: note: expanded from macro 'DEFINE_SIMD_NSAT'
   89 |     DEFINE_SIMD_F64(fun, __VA_ARGS__)
      |     ^
./third_party/OpenCV/public/modules/./core/src/arithm.simd.hpp:77:9: note: expanded from macro 'DEFINE_SIMD_F64'
   77 |         DEFINE_NOSIMD(__CV_CAT(fun, 64f), double, __VA_ARGS__)
      |         ^
./third_party/OpenCV/public/modules/./core/src/arithm.simd.hpp:47:56: note: expanded from macro 'DEFINE_NOSIMD'
   47 |         DEFINE_NOSIMD_FUN(fun_name, c_type, __VA_ARGS__)
      |                                                        ^
./third_party/OpenCV/public/modules/./core/src/arithm.simd.hpp:860:9: note: macro 'DEFINE_NOSIMD_FUN' defined here
  860 | #define DEFINE_NOSIMD_FUN(fun, _T1, _Tvec, ...)     \
2023-11-29 16:27:11 +01:00
Alexander Smorkalov
5df28f1eaa
Merge pull request #24615 from smirnov-alexey:as/infer2_assert_soften
G-API: Soften the argument check in infer2
2023-11-29 17:45:02 +03:00
Anatoliy Talamanov
79797a3eb6
Merge pull request #24584 from TolyaTalamanov:at/implement-inference-only-mode-for-ov-backend
G-API: Implement inference only mode for OV backend #24584

### Changes overview

Introduced `cv::gapi::wip::ov::benchmark_mode{}` compile argument which if enabled force `OpenVINO` backend to run only inference without populating input and copying back output tensors. 

This mode is only relevant for measuring the performance of pure inference without data transfers. Similar approach is using on OpenVINO side in `benchmark_app`: https://github.com/openvinotoolkit/openvino/blob/master/samples/cpp/benchmark_app/benchmark_app.hpp#L134-L139



### 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
2023-11-29 17:40:45 +03:00
Alexey Smirnov
0a862b5295 Soften the 0th argument check in infer2 2023-11-29 12:03:03 +00:00
Alexander Panov
7833c63388
Merge pull request #24598 from AleksandrPanov:add_android_qr_sample
Add android QR detection sample #24598

Android QR detection sample was added.

![image](https://github.com/opencv/opencv/assets/22337800/0aaf6689-36ee-4201-b609-256d3278641a)
![image](https://github.com/opencv/opencv/assets/22337800/1cf54758-2c96-4108-888b-4796d8825340)
![image](https://github.com/opencv/opencv/assets/22337800/4ecc0933-a2e6-4cc0-abae-7525213c4145)

current interface:
![image](https://github.com/opencv/opencv/assets/22337800/aff5b06d-6a9d-4762-be6e-ce20ff2c2271)


### 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
2023-11-29 12:51:59 +03:00
Maxim Smolskiy
34c406ea3a
Merge pull request #24595 from MaximSmolskiy:fix-typo-inChessBoardDetector-generateQuads
Fix typo in ChessBoardDetector::generateQuads #24595

### 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
2023-11-29 12:28:57 +03:00
Alexander Smorkalov
7b1a5fb3de Migrate Android Face Detection sample to DNN. 2023-11-29 11:02:44 +03:00
Alexander Smorkalov
75f619fe00
Merge pull request #24607 from asmorkalov:as/serialize_android_samples_build
Serialize Android samples build in SDK script to prevent raise between gradle instances
2023-11-29 10:04:26 +03:00
Alexander Smorkalov
1ef8175c49
Merge pull request #24600 from asmorkalov:as/tutorial2_fix
Fixed regression in Android Tutorial2 initialization.
2023-11-28 15:50:39 +03:00
Alexander Smorkalov
1c4f441507
Merge pull request #24554 from asmorkalov:as/android_sdk_local_props
Android AAR package build and test with CI
2023-11-28 15:17:06 +03:00
Vincent Rabaud
06f62a3dd1
Merge pull request #24581 from vrabaud:tsan
Fix race condition in color_lab.cpp initLabTabs(). #24581

There is a race condition between when the static bool is initialized (which is thread safe) and its value check. This PR changes the static bool to a static lambda call to make it thread safe. The static_cast<void> in the end is to prevent unused variables warnings.

### 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
2023-11-28 15:01:41 +03:00
Alexander Smorkalov
49463c4420
Merge pull request #24604 from MaximSmolskiy:fix-time-measurement-in-test-Calib3d_ChessboardDetector.timing
Fix time measurement in test Calib3d_ChessboardDetector.timing
2023-11-28 14:45:51 +03:00
Alexander Smorkalov
f7d69085af
Merge pull request #24608 from spacegaier:patch-1
Fix comment typo in matx.hpp
2023-11-28 13:41:53 +03:00
Abduragim Shtanchaev
5278560252
Merge pull request #24569 from Abdurrahheem:ash/padding_value_fix
Add support for custom padding in DNN preprocessing #24569

This PR add functionality for specifying value in padding.
It is required in many preprocessing pipelines in DNNs such as Yolox object detection model

### 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
2023-11-28 11:54:09 +03:00
Philip Allgaier
9bb0a8d9e9
Fix comment typo in matx.hpp 2023-11-28 08:26:40 +01:00
Alexander Smorkalov
aa6b399b5a AAR package build and test with CI
- Use the same tools and plugins for SDK build and AAR build
- Added script to test Gradle-based samples against local maven repo
- Various local fixes and debug prints
2023-11-28 10:00:56 +03:00
Alexander Smorkalov
07da2c9d10 Serialize Android samples build in SDK script to prevent raise between gradle instances. 2023-11-28 09:42:39 +03:00
MaximSmolskiy
9517fcf80d Fix time measurement in test Calib3d_ChessboardDetector.timing 2023-11-27 23:44:24 +03:00
Alexander Smorkalov
88d3e7a7ba Fixed regression in Android Tutorial2 initialization. 2023-11-27 16:13:46 +03:00
Alexander Smorkalov
e9f35610a5
Merge pull request #24575 from asmorkalov:as/drop_android_engine
Drop OpenCV Manager from samples initialization
2023-11-24 14:16:43 +03:00
Dmitry Kurtaev
d296d29a1c
Merge pull request #24299 from dkurt:qrcode_decode
In-house QR codes decoding #24299

### Pull Request Readiness Checklist

QR codes decoding pipeline without 3rdparty dependency (Quirc library). Implemented according to standard https://github.com/yansikeim/QR-Code/blob/master/ISO%20IEC%2018004%202015%20Standard.pdf

**Merge with extra**: https://github.com/opencv/opencv_extra/pull/1124

resolves https://github.com/opencv/opencv/issues/24225
resolves https://github.com/opencv/opencv/issues/17290
resolves https://github.com/opencv/opencv/issues/24318 https://github.com/opencv/opencv/issues/24346

Resources:
* https://en.wikiversity.org/wiki/Reed%E2%80%93Solomon_codes_for_coders
* https://en.wikipedia.org/wiki/Berlekamp%E2%80%93Massey_algorithm

```
Geometric mean (ms)

                                   Name of Test                                      quirc   new2      new2   
                                                                                                        vs    
                                                                                                      quirc   
                                                                                                    (x-factor)
decode::Perf_Objdetect_Not_QRCode::("chessboard", 640x480)                           9.151   9.157     1.00   
decode::Perf_Objdetect_Not_QRCode::("chessboard", 1280x720)                         21.609  21.609     1.00   
decode::Perf_Objdetect_Not_QRCode::("chessboard", 1920x1080)                        42.088  41.924     1.00   
decode::Perf_Objdetect_Not_QRCode::("chessboard", 3840x2160)                        169.737 169.050    1.00   
decode::Perf_Objdetect_Not_QRCode::("random", 640x480)                               8.552   8.611     0.99   
decode::Perf_Objdetect_Not_QRCode::("random", 1280x720)                             21.264  21.581     0.99   
decode::Perf_Objdetect_Not_QRCode::("random", 1920x1080)                            42.415  43.468     0.98   
decode::Perf_Objdetect_Not_QRCode::("random", 3840x2160)                            175.003 174.294    1.00   
decode::Perf_Objdetect_Not_QRCode::("zero", 640x480)                                 8.528   8.421     1.01   
decode::Perf_Objdetect_Not_QRCode::("zero", 1280x720)                               21.548  21.209     1.02   
decode::Perf_Objdetect_Not_QRCode::("zero", 1920x1080)                              42.581  42.529     1.00   
decode::Perf_Objdetect_Not_QRCode::("zero", 3840x2160)                              176.231 174.410    1.01   
decode::Perf_Objdetect_QRCode::"kanji.jpg"                                           6.105   6.072     1.01   
decode::Perf_Objdetect_QRCode::"link_github_ocv.jpg"                                 6.069   6.076     1.00   
decode::Perf_Objdetect_QRCode::"link_ocv.jpg"                                        6.143   6.240     0.98   
decode::Perf_Objdetect_QRCode::"link_wiki_cv.jpg"                                    6.369   6.420     0.99   
decode::Perf_Objdetect_QRCode::"russian.jpg"                                         6.558   6.549     1.00   
decode::Perf_Objdetect_QRCode::"version_1_down.jpg"                                  5.634   5.621     1.00   
decode::Perf_Objdetect_QRCode::"version_1_left.jpg"                                  5.560   5.609     0.99   
decode::Perf_Objdetect_QRCode::"version_1_right.jpg"                                 5.539   5.631     0.98   
decode::Perf_Objdetect_QRCode::"version_1_top.jpg"                                   5.622   5.566     1.01   
decode::Perf_Objdetect_QRCode::"version_1_up.jpg"                                    5.569   5.534     1.01   
decode::Perf_Objdetect_QRCode::"version_5_down.jpg"                                  6.514   6.436     1.01   
decode::Perf_Objdetect_QRCode::"version_5_left.jpg"                                  6.668   6.479     1.03   
decode::Perf_Objdetect_QRCode::"version_5_top.jpg"                                   6.481   6.484     1.00   
decode::Perf_Objdetect_QRCode::"version_5_up.jpg"                                    7.011   6.513     1.08   
decodeMulti::Perf_Objdetect_QRCode_Multi::("2_qrcodes.png", "aruco_based")          14.885  15.089     0.99   
decodeMulti::Perf_Objdetect_QRCode_Multi::("2_qrcodes.png", "contours_based")       14.896  14.906     1.00   
decodeMulti::Perf_Objdetect_QRCode_Multi::("3_close_qrcodes.png", "aruco_based")     6.661   6.663     1.00   
decodeMulti::Perf_Objdetect_QRCode_Multi::("3_close_qrcodes.png", "contours_based")  6.614   6.592     1.00   
decodeMulti::Perf_Objdetect_QRCode_Multi::("3_qrcodes.png", "aruco_based")          14.814  14.592     1.02   
decodeMulti::Perf_Objdetect_QRCode_Multi::("3_qrcodes.png", "contours_based")       15.245  15.135     1.01   
decodeMulti::Perf_Objdetect_QRCode_Multi::("4_qrcodes.png", "aruco_based")          10.923  10.881     1.00   
decodeMulti::Perf_Objdetect_QRCode_Multi::("4_qrcodes.png", "contours_based")       10.680  10.128     1.05   
decodeMulti::Perf_Objdetect_QRCode_Multi::("5_qrcodes.png", "contours_based")       11.788  11.576     1.02   
decodeMulti::Perf_Objdetect_QRCode_Multi::("6_qrcodes.png", "aruco_based")          25.887  25.979     1.00   
decodeMulti::Perf_Objdetect_QRCode_Multi::("6_qrcodes.png", "contours_based")       26.183  25.627     1.02   
decodeMulti::Perf_Objdetect_QRCode_Multi::("7_qrcodes.png", "aruco_based")          32.786  32.253     1.02   
decodeMulti::Perf_Objdetect_QRCode_Multi::("7_qrcodes.png", "contours_based")       24.290  24.435     0.99   
decodeMulti::Perf_Objdetect_QRCode_Multi::("8_close_qrcodes.png", "aruco_based")    89.696  89.247     1.01   
decodeMulti::Perf_Objdetect_QRCode_Multi::("8_close_qrcodes.png", "contours_based") 89.872  89.600     1.00
```
2023-11-24 11:35:36 +03:00
Dmitry Kurtaev
332748dd55
Merge pull request #24577 from dkurt:dnn_graph_match_stack
Fix graph fusion with commutative ops #24577

### Pull Request Readiness Checklist

resolves https://github.com/opencv/opencv/issues/24568

**Merge with extra**: https://github.com/opencv/opencv_extra/pull/1125

TODO:
- [x]  replace recursive function to sequential

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-11-24 10:40:32 +03:00
skycat8
848dd12a1f
Merge pull request #24553 from skycat8:yolov5
Add yolov5n to tests #24553

### Pull Request Readiness Checklist

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

- [ X] I agree to contribute to the project under Apache 2 License.
- [ X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ X] The PR is proposed to the proper branch
- [ X] There is a reference to the original bug report and related work
- [ X] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ X] The feature is well documented and sample code can be built with the project CMake
2023-11-24 10:36:06 +03:00
Alexander Smorkalov
2830551e89 Drop OpenCV Manager from samples initialization. 2023-11-23 18:27:18 +03:00
Liutong HAN
ce0516282a Optimize the v_lut for RVV. 2023-11-23 15:06:04 +08:00
Maxim Smolskiy
2c1ec4245d
Merge pull request #24527 from MaximSmolskiy:fix-out-of-image-corners-in-cv-cornersubpix
Fix out of image corners in cv::cornerSubPix #24527

### 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
2023-11-21 15:36:43 +03:00
Yuantao Feng
d05fb709f9
Merge pull request #24552 from fengyuentau:layernorm_backends
dnn: add openvino, opencl and cuda backends for layer normalization layer #24552

Merge after https://github.com/opencv/opencv/pull/24544.

Todo:

- [x] openvino
- [x] opencl
- [x] cuda

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-11-21 15:33:01 +03:00
Alexander Smorkalov
fba3c947ef
Merge pull request #24560 from asmorkalov:as/openni_status
Print warning, but not throw exceptions in cv::VideoCapture for OpenNI2
2023-11-21 15:24:27 +03:00
Alexander Smorkalov
8bbf08f0de
Merge pull request #24566 from MaximSmolskiy:fix-typos-in-calibinit.cpp
Fix typos in calibinit.cpp
2023-11-21 11:37:42 +03:00
MaximSmolskiy
a57ea2b775 Fix typos in calibinit.cpp 2023-11-21 09:34:54 +03:00
Hao Chen
c19adb4953 Change the lsx to baseline features.
This patch change lsx to baseline feature, and lasx to dispatch
feature. Additionally, the runtime detection methods for lasx and
lsx have been modified.
2023-11-21 11:51:22 +08:00
Maksym Ivashechkin
16928806f9
Merge pull request #24499 from ivashmak:usac_bug_fix
Replace double atomic in USAC #24499

### 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

Reference to issue with atomic variable: #24281
Reference to bug with essential matrix: #24482
2023-11-20 15:47:35 +03:00
Alexander Smorkalov
23481b716b Print warning, but not throw exceptions in cv::VideoCapture for OpenNI2. 2023-11-20 15:04:35 +03:00
zihaomu
b913e73d04
DNN: add the Winograd fp16 support (#23654)
* add Winograd FP16 implementation

* fixed dispatching of FP16 code paths in dnn; use dynamic dispatcher only when NEON_FP16 is enabled in the build and the feature is present in the host CPU at runtime

* fixed some warnings

* hopefully fixed winograd on x64 (and maybe other platforms)

---------

Co-authored-by: Vadim Pisarevsky <vadim.pisarevsky@gmail.com>
2023-11-20 13:45:37 +03:00
Yuantao Feng
a478757483
Merge pull request #24544 from fengyuentau:layernorm_conformance
dnn test: move layer norm tests into conformance tests #24544

Merge with https://github.com/opencv/opencv_extra/pull/1122

## Motivation

Some ONNX operators, such as `LayerNormalization`, `BatchNormalization` and so on, produce outputs for training (mean, stdev). So they have reference outputs of conformance tests for those training outputs as well. However, when it comes to inference, we do not need and produce those outputs for training here in dnn. Hence, output size does not match if we use dnn to infer those conformance models. This has become the barrier if we want to test these operators using their conformance tests.

<!--
| Operator                | Inference needed                    | Outputs (required - total) | Optional outputs for training? |
| ----------------------- | ----------------------------------- | -------------------------- | ------------------------------ |
| BatchNormalization      | Yes                                 | 1 - 3                      | Yes                            |
| Dropout                 | Maybe, can be eliminated via fusion | 1 - 2                      | Yes                            |
| GRU                     | Yes                                 | 0 - 2                      | No                             |
| LSTM                    | Yes                                 | 0 - 3                      | No                             |
| LayerNormalization      | Yes                                 | 1 - 3                      | Yes                            |
| MaxPool                 | Yes                                 | 1 - 2                      | Yes                            |
| RNN                     | Yes                                 | 0 - 2                      | No                             |
| SoftmaxCrossEntropyLoss | No                                  | 1 - 2                      | --                             |
-->

**I checked all ONNX operators with optional outputs. Turns out there are only `BatchNormalization`, `Dropout`, `LayerNormalization` and `MaxPool` has optional outputs for training. All except `LayerNormalization` have models set for training mode and eval mode. Blame ONNX for that.**

## Solution

In this pull request, we remove graph outputs if the graph looks like the following:

```
    [X]   [Scale]  [Bias]                      [X]   [Scale]  [Bias]
      \      |      /         this patch         \      |      /
     LayerNormalization      ----------->       LayerNormalization
      /      |      \                                   |
    [Y]    [Mean]  [Stdev]                             [Y]
```

We can update conformance tests and turn on some cases as well if extending to more layers.

Notes:
1. This workaround does not solve expanded function operators if they are fused into a single operator, such as `$onnx/onnx/backend/test/data/node/test_layer_normalization_2d_axis1_expanded`, but they can be run without fusion. Note that either dnn or onnxruntime does not fuse those expanded function operators.

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-11-20 11:19:24 +03:00
alexlyulkov
6c57ce9e09
Merge pull request #24473 from alexlyulkov:al/samples_with_maven
Updated Android samples for modern Android studio. Added OpenCV from Maven support. #24473

Updated samples for recent Android studio:

- added namespace field that is required in build.gradle files
- replaced _switch_ by _if-else_ because it doesn't work with constants from resources
- added missed log library dependency in face-detection/jni/CMakeLists.txt
- use local.properties to define NDK location

Added support for OpenCV from Maven. Now you can choose 3 possible sources of OpenCV lib in settings.gradle: SDK path, local Maven repository, public Maven repository. (Creating Maven repository from SDK is added here #24456 )

There are differences in project configs for SDK and Maven versions:

- different dependencies in build.gradle
- different OpenCV library names in CMakeLists.txt
- SDK version requires OpenCV_DIR definition

Requires:
- https://github.com/opencv/ci-gha-workflow/pull/124
- https://github.com/opencv-infrastructure/opencv-gha-dockerfile/pull/26
2023-11-17 14:17:17 +03:00
Jeremy Lyda
fad0dbb9ac
Merge pull request #24364 from bagelbytes61:bugfix/qrcode-version-estimator
Bugfix/qrcode version estimator #24364

Fixes https://github.com/opencv/opencv/issues/24366

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2023-11-16 16:28:28 +03:00
Abduragim Shtanchaev
8c10545d3c
Merge pull request #24509 from Abdurrahheem:ash/dev_einsum_fast_gemm
Fast gemm for einsum #24509

## This PR adds performance tests for Einsum Layer with FastGemm. See below results of performance test on different inputs

### 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
2023-11-16 16:20:17 +03:00