23782 Commits

Author	SHA1	Message	Date
kallaballa	a2be9e9fc1	Log a debug message if a capture backend is generally available but isn't capabable of a capture mode.	2023-05-04 19:18:58 +03:00
Stefan Becker	e55784a1e8	ChArUco pre460 pattern support	2023-05-04 16:59:04 +03:00
n0099	868787c364	Merge pull request #23342 from n0099:#23335 ... Improve document of cv::RotatedRect for #23335 #23342 fix #23335 ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake	2023-05-03 14:15:53 +03:00
Sean McBride	27e10efa66	Use std::atomic<bool> as it's necessary for correct thread safety ... Now that C++11 is required, we can unconditionally use std::atomic in this case, which is more correct.	2023-05-01 16:44:34 -04:00
Alexander Alekhin	3c76b33532	Merge pull request #22614 from zihaomu:add_std2DB_API	2023-05-01 19:37:23 +00:00
Maxim Smolskiy	658f18c713	Fix function name in comment	2023-04-30 17:30:01 +03:00
zihaomu	8be93a6de7	add scale factor to DB demo.	2023-04-30 22:03:21 +08:00
Pierre Chatelier	6dd8a9b6ad	Merge pull request #13879 from chacha21:REDUCE_SUM2 ... add REDUCE_SUM2 #13879 proposal to add REDUCE_SUM2 to cv::reduce, an operation that sums up the square of elements	2023-04-28 20:42:52 +03:00
Laurent Berger	23b819efb8	Merge pull request #23555 from LaurentBerger:doc_format ... don't ignore documentation for cv::format in doxygen #23555 Issue https://github.com/opencv/opencv/issues/23553 See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work issue - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake	2023-04-28 15:24:07 +03:00
Alexander Smorkalov	9161e40aa0	Merge pull request #23529 from dmatveev:dm/gapi_onnx_rt_1.14.1 ... Bump supported ONNX RT version to 1.14.1	2023-04-28 15:19:06 +03:00
Onuralp Sezer	5ccb4e0487	Merge pull request #23447 from onuralpszr:gradle80_namespace ... AGP 8.0 build.gradle namespace and aidl buildFeature requirement added #23447 Hello, Android Gradle Plugin version 8.0 is asking for namespace. This is become mandatory and after I update my AGP to 8.0, I got this error ``` Namespace not specified. Please specify a namespace in the module's build.gradle file like so: android { namespace 'com.example.namespace' } If the package attribute is specified in the source AndroidManifest.xml, it can be migrated automatically to the namespace value in the build.gradle file using the AGP Upgrade Assistant; please refer to https://developer.android.com/studio/build/agp-upgrade-assistant for more information. ``` This change fix this future releases. However I am not sure how opencv wants to user namespace I used "org.opencv" if there is a different namespace please let me know so I can changed that too. Also should I add namepsace into "opencv/modules/java/android_sdk/android_gradle_lib/build.gradle" here ? ### Sources Android developer link: https://developer.android.com/studio/preview/features#namespace-dsl Issue Tracker Google: https://issuetracker.google.com/issues/191813691?pli=1#comment19 ### 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	2023-04-28 13:41:39 +03:00
Alexander Smorkalov	6dbc5e032f	Merge pull request #23545 from Abdurrahheem:tests_lstm_init_no_hidden_states ... Added test for LSTM without hidden state initialisation	2023-04-27 16:27:42 +03:00
Alexander Smorkalov	af1c63c0a0	Merge pull request #23138 from AleksandrPanov:aruco_fix_matchImagePoints ... fix charuco matchImagePoints	2023-04-27 13:55:46 +03:00
Alex	4ba06c3ed0	fix charuco matchImagePoints	2023-04-27 12:05:09 +03:00
Alexander Alekhin	46e2b67ecb	Merge pull request #23502 from seanm:sprintf3	2023-04-26 19:40:14 +00:00
Sean McBride	58e4a880a2	Deprecated convertTypeStr and made new variant that also takes the buffer size ... This allows removing the unsafe sprintf.	2023-04-26 09:48:15 -04:00
Abduragim Shtanchaev	3b1ee0549b	added test for lstm without hidden ... states initialization	2023-04-25 16:01:13 +03:00
cudawarped	871f931e95	VideoCapture: apply bitstream filter to all h264/5 raw streams	2023-04-25 13:52:28 +03:00
Alexander Smorkalov	e3e1f704a4	Merge pull request #23528 from WanliZhong:issue23278 ... DNN/CUDA: make 'abcd op 1b11' broadcast eltwise operator support cuda	2023-04-24 19:31:55 +03:00
Giles Payne	38e35d5137	Fix ocl::device::isIntel implementation	2023-04-24 22:01:53 +09:00
Dmitry Kurtaev	aa57833ad5	Merge pull request #23409 from dkurt:dnn_tflite_quant ... Import and inference INT8 quantized TFLite model #23409 ### Pull Request Readiness Checklist * Support quantized TFLite models * Enable fused activations (FP32, INT8) **Merge with extra**: https://github.com/opencv/opencv_extra/pull/1048  on the image, green boxes are from TFLite and red boxes from OpenCV 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	2023-04-24 13:44:10 +03:00
Abduragim Shtanchaev	e4e774d42b	Merge pull request #23475 from Abdurrahheem:lstm_fix_initialization ... Fix ONNX parser for single-layer LSTM hidden and cell states #23475 ### Fix ONNX parser for single-layer LSTM hidden and cell states ### 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 This PR addresses #21118 [issue](https://github.com/opencv/opencv/issues/21118). The problem is that the ONNX parser is unable to read the hidden state and cell state for single-layer LSTMs. This PR fixes the issue by updating the parser to correctly read hidden and cell states.	2023-04-24 13:39:41 +03:00
Alexander Smorkalov	a4a9f56c8b	Merge pull request #23513 from komakai:fix_unrecognized_selector ... Fix "unrecognized selector" issue in Objective-C/Swift bindings	2023-04-24 11:29:41 +03:00
wanli	e4360294c5	make 'abcd op 1b11' broadcast support cuda	2023-04-23 17:46:50 +08:00
Dmitry Matveev	1d02146810	Bump supported ONNX RT version to 1.14.1 ... - Existing tests pass with the ONNX models mentioned in tests.	2023-04-22 20:15:40 +00:00
Alexander Alekhin	9ab0ff6cf2	Merge pull request #23511 from zihaomu:issue_23465	2023-04-22 04:01:26 +00:00
Zihao Mu	601778e0e6	Merge pull request #22750 from zihaomu:improve_blobFromImage ... DNN: Add New API blobFromImageParam #22750 The purpose of this PR: 1. Add new API `blobFromImageParam` to extend `blobFromImage` API. It can support the different data layout (NCHW or NHWC), and letter_box. 2. ~~`blobFromImage` can output `CV_16F`~~ ### 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	2023-04-21 19:10:17 +03:00
Alexander Smorkalov	e4a29d93fe	Merge remote-tracking branch 'origin/3.4' into merge-3.4	2023-04-21 10:55:04 +03:00
zihaomu	54e1a8709d	fix the bug, disable the fast1x1 when padding is not 0.	2023-04-21 10:55:07 +08:00
Alexander Smorkalov	4c06a721ef	Merge pull request #23503 from seanm:issue13729 ... Fixed undefined left shifting of negative number	2023-04-20 12:10:04 +03:00
Alexander Smorkalov	3113b49159	Merge pull request #23495 from smeng9:4.x ... Fix aruco module CORNER_REFINE_CONTOUR parameter gets skipped	2023-04-20 12:02:43 +03:00
Yuantao Feng	3c1fcd5deb	Merge pull request #23401 from fengyuentau:fix_cann_layer_support ... dnn: Support more operators in CANN backend #23401 This PR adds the support of following layers: - [x] Sub - [x] PRelu - [x] DeConv - [x] Also warn users if backend is switched back to default if some of the layers are not supported. - [ ] [Dropped] LSTM: some hacks (adding layers) were introduced which makes it even harder to build the graph for CANN backend. ### 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	2023-04-20 10:18:35 +03:00
Abduragim Shtanchaev	b3a2444bcf	Merge pull request #23501 from Abdurrahheem:additional_lstm_tests ... Added LSTM and GRU tests for various batch and input length sizes #23501 Added tests with various sequence length and batch sizes Test data: https://github.com/opencv/opencv_extra/pull/1057 ### 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	2023-04-20 10:11:33 +03:00
Giles Payne	cfa5a270d3	Refactor Mat Converters and Mat QuickLook functionality to avoid "unrecognized selector" error	2023-04-18 21:09:55 +09:00
Milan van Wouden	a7c6fedebd	Fix typos in aruco_detector.hpp ... "corresponging" -> "corresponding" "Refind" -> "Refine"	2023-04-18 14:00:21 +02:00
Alexander Smorkalov	b68aa12572	Merge pull request #23375 from mshabunin:fix-v4l-verify ... cmake: fix V4L config verification conflict with OBSENSOR	2023-04-18 13:05:04 +03:00
Sean McBride	47bea69322	Merge pull request #23055 from seanm:sprintf2 ... * Replaced most remaining sprintf with snprintf * Deprecated encodeFormat and introduced new method that takes the buffer length * Also increased buffer size at call sites to be a little bigger, in case int is 64 bit	2023-04-18 09:22:59 +03:00
Sean McBride	aa2fabcba5	Fixed undefined left shifting of negative number ... Added explicit cast to unsigned before doing the left shift. This was caught by UBSan which reported things like: drawing.cpp:361:22: runtime error: left shift of negative value -26214 drawing.cpp:383:22: runtime error: left shift of negative value -78642	2023-04-17 15:39:37 -04:00
keith siilats	8512deb3cc	Merge pull request #23436 from siilats:patch-2 ... Fix python bindings for setCharucoParameters #23436 setCharucoParameters fails in python Fixes: https://github.com/opencv/opencv/issues/23440 ### 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	2023-04-17 13:02:27 +03:00
smeng9	a788cc526b	Fix skipped corner refinment branching logic	2023-04-15 20:48:05 +08:00
Alexander Smorkalov	aa17f881b1	Merge pull request #23482 from zihaomu:onnx_opset13_split ... DNN: support the split node of onnx opset >= 13	2023-04-14 11:59:57 +03:00
fengyuentau	4f99e5ab37	allow null constant_value in Pad and ignore it when loading	2023-04-14 16:50:16 +08:00
fengyuentau	88cacd35c5	support broadcast on axis > 1 for Expand	2023-04-14 15:52:27 +08:00
Gaotianhong	f1dbc7d724	fix warning in pointPolygonTest	2023-04-13 13:13:27 +08:00
thewoz	097891e311	Merge pull request #23394 from thewoz:Cocoa-Scroll-Wheel ... Add scrollWheel to Cocoa #23394 ### 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	2023-04-12 10:32:46 +03:00
Alexander Smorkalov	1af084cb65	Merge pull request #23477 from TolyaTalamanov:at/handle-multimeta-giebackend ... [G-API] Handle meta from multiple inputs in IE backend	2023-04-12 10:17:59 +03:00
Alexander Smorkalov	136121f6ee	Merge pull request #22660 from zhouzq-thu:4.x ... Fix objectness is not assigned in dnn::region_layer	2023-04-12 09:34:58 +03:00
TolyaTalamanov	66abbf4122	Compilation fix	2023-04-11 10:33:42 +00:00
TolyaTalamanov	0f984ea0f0	Handle const inputs descs in giebackend	2023-04-11 10:25:52 +00:00
Alexander Smorkalov	3f02c9d5b9	Merge pull request #23310 from hanliutong:fix_hal_compatibility ... Fix HAL compatibility layer	2023-04-11 12:43:54 +03:00
Yuantao Feng	4f77434da1	Merge pull request #23476 from fengyuentau:add_note_for_yunet ... Add notes for the output format of FaceDetectorYN.detect() Resolves https://github.com/opencv/opencv/pull/23020#issuecomment-1499010015 ### 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. - [x] The feature is well documented and sample code can be built with the project CMake	2023-04-11 12:39:21 +03:00
zihaomu	51281f8d69	support the split node of onnx opset >= 13	2023-04-11 16:18:50 +08:00
Kumataro	d2dbaa4cd1	Merge pull request #23433 from Kumataro:4.x-fix23416 ... imgcodecs: tiff: Support to encode for CV_32S with compression params Fix https://github.com/opencv/opencv/issues/23416 ### 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	2023-04-11 10:50:47 +03:00
Alexander Alekhin	f9ce3f4b91	Merge pull request #23469 from gottagofaster236:use_nv12_for_obs_camera	2023-04-10 13:39:15 +00:00
Alexander Alekhin	daf9de7463	Merge pull request #23383 from mshabunin:rvv-scalable-gcc	2023-04-10 13:35:43 +00:00
TolyaTalamanov	8a95f4f0e6	Handle meta for multiple infer inputs	2023-04-10 09:54:26 +00:00
gottagofaster236	d30830d0a6	Use NV12 instead of YUY2 for OBS Virtual Camera.	2023-04-09 01:56:03 +02:00
Alexander Smorkalov	f5a92cb43f	Merge pull request #22889 from D-Alex:patch-1 ... core: improve doc for setNumThreads	2023-04-07 16:37:40 +03:00
Alexander Smorkalov	3bcc3e70f1	Extended setNumThreads documentation according to code review.	2023-04-07 13:56:57 +03:00
eplankin	fd8b346c3e	Merge pull request #23443 from eplankin:3.4 ... * Update IPPICV binaries (20230330) * Revert "core(IPP): disable some ippsMagnitude_32f calls" This reverts commit 8069a6b4f8. * Reverted changes in norm() and count_non_zero()	2023-04-07 09:14:42 +00:00
Alexander Smorkalov	ce01123db2	Merge pull request #23020 from Wwupup:yunetv2 ... upgrade FaceDetectorYN to v2	2023-04-06 15:47:19 +03:00
Yuantao Feng	3a83a35ab0	Merge pull request #23296 from fengyuentau:fix_identifying_constant ... Fix identifying initializers in ONNX graph simplification #23296 Fixes https://github.com/opencv/opencv/issues/23295 ### 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	2023-04-06 15:35:31 +03:00
tantei3	8336a96cb9	Merge pull request #23446 from tantei3:bmp_fix ... **Merge with extra**: https://github.com/opencv/opencv_extra/pull/1050 For 32 bits per pixel with 3 or 4 channel destination images, apply scale factor and mask to parse BMP files correctly closes #23445 ### Pull Request Readiness Checklist - [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	2023-04-06 14:34:36 +03:00
Maksim Shabunin	b12c14514a	RISC-V: allow building scalable RVV support with GCC, LLVM 16 support	2023-04-05 14:18:58 +03:00
gottagofaster236	b4e3359448	Fix OBS Virtual Camera capture.	2023-04-05 08:04:35 +02:00
Alexander Smorkalov	2b32eee3f4	Merge pull request #23451 from Zero2key:4.x ... add opencv.js imread function can use OffscreenCanvas	2023-04-04 11:05:53 +03:00
Alexander Smorkalov	51f5ee6f19	Merge pull request #23448 from dmatveev:dm/gapi_fix_standalone_47 ... G-API: Fix compilation error in Standalone mode	2023-04-03 14:21:31 +03:00
Alexander Smorkalov	66a5ecb7ec	Merge pull request #23350 from spikethehobbitmage:4.x ... Fix reference counting errors in registerNewType	2023-04-03 14:08:32 +03:00
Zero2key	4e050e85ad	add opencv.js imread function can use OffscreenCanvas	2023-04-03 10:33:20 +08:00
Dmitry Matveev	3871984028	G-API: Fix compilation error in Standalone mode ... - Point3f was added to type traits but was missing in the "own" package; fixed.	2023-04-02 17:52:53 +03:00
Alexander Smorkalov	20eee64426	Merge pull request #23390 from just-gull:bugfix.21401.fix-macos-crash-when-keypress-does-nothing ... check keydown event characters length on macos	2023-04-02 12:29:55 +03:00
Alexander Smorkalov	d8c80ff5a4	Merge pull request #23419 from dkurt:onnx_fixes ... Several fixes for ONNX importer: Expand, Gather	2023-04-02 11:40:56 +03:00
Alexander Smorkalov	3cf367c9c4	Merge pull request #23271 from stefan523:aruco_testcase_fixes ... Aruco/Charuco test case fixes for floating point for loops	2023-03-30 11:22:14 +03:00
Alex	c643af0b85	fix test	2023-03-29 15:29:56 +03:00
Dmitry Kurtaev	5e1d33329b	Several fixes for ONNX importer: Expand, Gather	2023-03-27 22:15:26 +03:00
HAN Liutong	a809ae4e88	Fix HAL compatibility layer and modify use cases.	2023-03-27 21:30:47 +08:00
Kumataro	1c6c3dfa8d	remove tail whitespace	2023-03-26 18:33:54 +09:00
Kumataro	83a49b4f6a	imgcodecs: update documentation for imwrite() to support images formats.	2023-03-26 09:03:16 +09:00
Alexander Smorkalov	352f92e437	Merge pull request #23402 from LaurentBerger:I23400 ... Typo in enum cv::QuatEnum::EulerAnglesType	2023-03-24 18:11:48 +03:00
Alexander Smorkalov	f5fd3e7d65	Merge pull request #23367 from LaurentBerger:msmf_doc ... Note for MSMF in doc	2023-03-24 17:16:52 +03:00
unknown	ee302b063f	Typo in enum cv::QuatEnum::EulerAnglesType	2023-03-24 14:03:14 +01:00
Alexander Smorkalov	d7dd014a6e	Merge pull request #23399 from AleksandrPanov:aruco_fix_board ... Fix create aruco Board in Python	2023-03-24 15:38:53 +03:00
Alexander Smorkalov	b56a52c49b	Merge pull request #22471 from anna-khakimova:ak/fix_resize4lpi_tests ... Increasing tolerance for Preproc4lpiTest set on ARM	2023-03-24 15:31:48 +03:00
Anna Khakimova	0bb84096a2	Fix tolerance for Preproc4lpiTest set	2023-03-24 14:20:22 +03:00
Alexander Smorkalov	36a03dbdbf	Merge pull request #23307 from alalek:simd_comparison_fix_misused_64f_guard ... core(simd): 64-bit integer EQ/NE without misused 64F guard	2023-03-24 12:46:18 +03:00
Alex	02bdc10062	fix assert, add test	2023-03-24 11:52:05 +03:00
Alexander Smorkalov	d3cc507380	Added reference to Media Foundation.	2023-03-23 16:58:22 +03:00
Alexander Smorkalov	1af790ecc3	Merge pull request #23388 from simonlynen:patch-2 ... Make LineSegmentDetector deterministic by using stable_sort	2023-03-23 16:18:29 +03:00
Alexander Smorkalov	8c64adb000	Merge pull request #23019 from tkram01:sampleIdxFix ... Fix for using sampleIdx to limit training data	2023-03-22 11:59:34 +03:00
Sergey Petrenko	6ffe686ba8	check keydown event characters length before returning the pressed character code	2023-03-22 10:24:22 +03:00
tkram01	ea7efd57d8	Fix for using sampleIdx to limit training data	2023-03-22 09:50:58 +03:00
Christian Henkel	c9e42c5050	two typos	2023-03-22 09:17:41 +03:00
Simon Lynen	6033599c88	Make LineSegmentDetector deterministic by using stable_sort for ordering keypoints prior to region growing ... This makes LineSegmentDetector deterministic by using stable_sort for ordering points by norm. Without this change the region growing in LSD is non-determinstic and thus the returned lines are changing between invocations. This is a replacement for https://github.com/opencv/opencv/pull/23370	2023-03-22 04:12:51 +01:00
Alexander Smorkalov	a4ff46aab7	Merge pull request #23250 from tintou:./tintou/glib-req ... highgui: Set hard GLib requirement to >=2.32	2023-03-21 15:22:34 +03:00
Alexander Smorkalov	e6bd4c9f85	Merge pull request #23275 from genciberisha:bug/issue-23249_detected_but_not_decoded_bug ... Added QR_Code data flip support, flip and retry after first ECC failure	2023-03-21 15:03:30 +03:00
Alexander Smorkalov	0d082ce6fd	Merge pull request #23344 from anderskiaer:singlefilejs ... Add possibility for disabling inlining `wasm` in `opencv.js`	2023-03-21 15:01:52 +03:00
Dmitry Kurtaev	5df6b4a756	Merge pull request #23325 from dkurt:dnn_input_info ... Propagate inputs info for ONNX and TFLite models ### Pull Request Readiness Checklist Needed for generic applications such as benchmarking pipelines. So OpenCV can tell about the default input shapes specified in the models. 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	2023-03-21 14:50:53 +03:00
ippei.i	a60408cda5	Merge pull request #23300 from ippei-i:CAP_PROP_AUTO_WB-and-CAP_PROP_WHITE_BALANCE_BLUE_U_support_in_CAP_DSHOW ... Support VideoCapture CAP_PROP_AUTO_WB and CV_CAP_PROP_WHITE_BALANCE_BLUE_U for DShow ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [OK] I agree to contribute to the project under Apache 2 License. - [OK] 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 - [OK] The PR is proposed to the proper branch - [OK] There is a reference to the original bug report and related work https://github.com/opencv/opencv/issues/19621 https://github.com/opencv/opencv/issues/21408 ### Before apply this pull request console output. before AWB setting CAP_PROP_WHITE_BALANCE_BLUE_U: 2000 CAP_PROP_AUTO_WB: -1 after AWB disable setting CAP_PROP_WHITE_BALANCE_BLUE_U: 2000 CAP_PROP_AUTO_WB: -1 after AWB enable setting CAP_PROP_WHITE_BALANCE_BLUE_U: 2000 CAP_PROP_AUTO_WB: -1 after Manual WB(and Disable AWB) setting CAP_PROP_WHITE_BALANCE_BLUE_U: 2000 CAP_PROP_AUTO_WB: -1 ### After apply this pull request console output. before AWB setting CAP_PROP_WHITE_BALANCE_BLUE_U: 2000 CAP_PROP_AUTO_WB: 0 after AWB disable setting CAP_PROP_WHITE_BALANCE_BLUE_U: 4000 CAP_PROP_AUTO_WB: 0 after AWB enable setting CAP_PROP_WHITE_BALANCE_BLUE_U: 4000 CAP_PROP_AUTO_WB: 1 after Manual WB(and Disable AWB) setting CAP_PROP_WHITE_BALANCE_BLUE_U: 2000 CAP_PROP_AUTO_WB: 0 ### Test Code [OpenCvVideoCapTest.zip](https://github.com/opencv/opencv/files/10825399/OpenCvVideoCapTest.zip)	2023-03-21 14:29:24 +03:00
Wwupup	da3a4dcbc1	upgrade FaceDetectorYN to v2	2023-03-21 12:41:02 +08:00
Genci Berisha	a1b4aa5e88	Added QR_Code data flip support, flip and retry after first EEC failure ... Added regression test for the flipped images	2023-03-20 14:26:11 +01:00
Labib Asari	c4226f0457	Merge pull request #23196 from labeeb-7z:printOptionInRoiSelector ... Added argument to print notice in `roiSelector.cpp` Related Issue : https://github.com/opencv/opencv/issues/23175 I've added a printNotice argument to `selectROI` (and it's overload) and `selectROIs` functions. I've also updated the function declarations in `highgui.hpp`. Tested by building locally. ### 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. - [x] The feature is well documented and sample code can be built with the project CMake	2023-03-20 10:06:57 +03:00
Maksim Shabunin	aef1fc087d	cmake: fix V4L config verification conflict with OBSENSOR	2023-03-19 10:58:47 +03:00
unknown	a2e04718ec	te for MSMF in doc	2023-03-17 13:36:47 +01:00
Alexander Smorkalov	924a65413a	Merge pull request #23357 from zihaomu:fix_winograd_error_32bit ... DNN : fix bug in 32 bit cpu	2023-03-15 11:24:54 +03:00
zihaomu	6bac5453d1	fix bug in 32 bit cpu	2023-03-15 08:24:55 +08:00
Alexander Smorkalov	ccbc784195	Merge pull request #23354 from zihaomu:issue_23351 ... DNN : fix bug in layer fusion	2023-03-14 17:23:25 +03:00
Vladimir Ponomarev	b204c39815	Merge pull request #23276 from vovka643:flann_corrections ... Fixed potential memory leak in flann Issue #22426 ### 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	2023-03-14 15:00:44 +03:00
zihaomu	386be97ce2	fix bug in layer fusion	2023-03-14 19:06:06 +08:00
tingbo.liao	7d032de7e8	Fix bugs of test case failure ... 4 failed tests in open_test_dnn listed below: * Test_Caffe_layers.Conv_Elu/0, where GetParam() = OCV/CPU * Test_ONNX_layers.ConvResizePool1d/0, where GetParam() = OCV/CPU * Test_TensorFlow_layers.tf_reshape_nhwc/0, where GetParam() = OCV/CPU * Test_Torch_layers.net_inception_block/0, where GetParam() = OCV/CPU In winofunc_AtXA_8x8_f32 and winofunc_BtXB_8x8_f32 implementation, incorrect input parameters cause tests failure. Add four new different variables for the last four input parameters of v_transpose4x4 to fix bugs, and update related comments. Signed-off-by: tingbo.liao <tingbo.liao@starfivetech.com>	2023-03-14 17:05:19 +08:00
Alexander Smorkalov	de2f7666fb	Merge pull request #23260 from tintou:tintou/gtk-reduce-diff ... highgui: Reduce the difference between GTK+2 and GTK+3 version	2023-03-14 09:11:53 +03:00
Spike	95f087cd0b	Fix reference counting errors in registerNewType	2023-03-13 23:22:57 -06:00
Alexander Smorkalov	22a52766dc	Merge pull request #23343 from zihaomu:fix_test_onnx_conf ... DNN Test ONNX: Fix the logic of the test case	2023-03-13 21:48:41 +03:00
Yuantao Feng	b94e13c8ae	Merge pull request #23319 from fengyuentau:fix_zoo_issue_136 ... Related issue: https://github.com/opencv/opencv_zoo/issues/136 Features added: - Support operators with multiple output: ONNX Split. - Support Slice without steps. Bugs fixed: - Wrong settings in ClipByValue (Relu6). - Wrong calculation of pads in convolution layer (It is wrong generally but only fixed specifically for CANN for now). ### 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	2023-03-13 21:46:33 +03:00
zihaomu	ee3740af00	move global skip out of if loop, and add opencv_deny_list	2023-03-13 22:16:51 +08:00
Alexander Smorkalov	9f2182abbb	Merge pull request #23261 from vovka643:3.4 ... Remove separator between trackbars.	2023-03-13 13:51:56 +03:00
anderskiaer	6c763e1ea5	Add possibility for disabling inlining wasm in opencv.js	2023-03-11 21:03:18 +01:00
Zihao Mu	e03e2e7f94	Merge pull request #23192 from zihaomu:clean_up_SIMD_code ... ### Purpose of this PR: - Move all dispatch and SIMD code of `convolution layer` into `simd.hpp` file. - Support Winograd at AVX-only machine. - Re-name the folder from `fast_conv` to `cpu_kernels`. In the future, we can put other layers of CPU optimization into it, like `GEMM` or `MatMul`. ## Performance Test Since this patch just focuses on the code style, the performance is expected as the same as before. Test with the following script: `./bin/opencv_perf_dnn '--gtest_filter=*conv*' --gtest_output="xml:../1-0th.xml" --perf_threads=1` ### Test on X86 platform Min (ms) |Name of Test|4.x | patch | 4.x vs patch (x-factor)| |---|:-:|:-:|:-:| |conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 2, 19}, OCN=2, G=2, S=2, P=(1, 1), BIAS, OCV/CPU)|0.001|0.001|0.98| |conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 2, 25}, OCN=2, G=2, P=(2, 2), PM=SAME, OCV/CPU)|0.001|0.001|0.95| |conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 6, 10}, OCN=6, PM=VALID, BIAS, OCV/CPU)|0.001|0.001|0.97| |conv3d::Conv3D::(GFLOPS=0.000, K=[1 x 1 x 1], IN={1, 4, 9, 10, 10}, OCN=4, S=[1 x 1 x 2], P=(1, 1) x (1, 1) x (1, 1), PM=VALID, OCV/CPU)|0.002|0.002|1.04| |conv3d::Conv3D::(GFLOPS=0.000, K=[1 x 1 x 1], IN={1, 8, 1, 10, 10}, OCN=8, G=8, P=(1, 1) x (1, 1) x (1, 1), BIAS, OCV/CPU)|0.002|0.002|0.94| |conv3d::Conv3D::(GFLOPS=0.000, K=[3 x 3 x 3], IN={1, 2, 19, 19, 19}, OCN=2, G=2, S=[2 x 2 x 2], P=(1, 1) x (1, 1) x (1, 1), BIAS, OCV/CPU)|0.040|0.044|0.93| |conv3d::Conv3D::(GFLOPS=0.000, K=[3 x 4 x 2], IN={1, 4, 8, 10, 10}, OCN=4, G=4, S=[1 x 2 x 1], BIAS, OCV/CPU)|0.010|0.010|1.00| |conv3d::Conv3D::(GFLOPS=0.001, K=[3 x 3 x 3], IN={1, 2, 25, 19, 19}, OCN=2, G=2, S=[1 x 2 x 2], P=(2, 2) x (2, 2) x (2, 2), PM=SAME, OCV/CPU)|0.106|0.103|1.03| |conv3d::Conv3D::(GFLOPS=0.002, K=[3 x 1 x 4], IN={1, 14, 5, 10, 10}, OCN=14, PM=SAME, OCV/CPU)|0.041|0.040|1.03| |conv3d::Conv3D::(GFLOPS=0.006, K=[5 x 5 x 5], IN={1, 4, 50, 19, 19}, OCN=4, S=[2 x 2 x 2], P=(1, 1) x (1, 1) x (1, 1), PM=VALID, OCV/CPU)|0.340|0.329|1.03| |conv3d::Conv3D::(GFLOPS=0.027, K=[3 x 3 x 3], IN={1, 6, 10, 38, 50}, OCN=6, PM=VALID, BIAS, OCV/CPU)|0.590|0.567|1.04| |conv3d::Conv3D::(GFLOPS=0.030, K=[5 x 5 x 5], IN={1, 6, 19, 19, 19}, OCN=6, G=2, OCV/CPU)|1.374|1.314|1.05| |conv3d::Conv3D::(GFLOPS=0.045, K=[7 x 7 x 7], IN={1, 2, 38, 38, 38}, OCN=2, S=[1 x 2 x 1], OCV/CPU)|3.715|3.528|1.05| |conv3d::Conv3D::(GFLOPS=0.053, K=[3 x 3 x 3], IN={1, 10, 98, 10, 10}, OCN=10, PM=SAME, OCV/CPU)|1.181|1.166|1.01| |conv3d::Conv3D::(GFLOPS=0.071, K=[7 x 7 x 7], IN={1, 6, 15, 19, 19}, OCN=6, S=[2 x 1 x 1], P=(3, 3) x (3, 3) x (3, 3), PM=SAME, BIAS, OCV/CPU)|2.689|2.587|1.04| |conv3d::Conv3D::(GFLOPS=0.093, K=[5 x 5 x 5], IN={1, 4, 40, 75, 75}, OCN=4, S=[2 x 2 x 2], OCV/CPU)|4.754|4.500|1.06| |conv3d::Conv3D::(GFLOPS=0.116, K=[5 x 5 x 5], IN={1, 2, 21, 75, 100}, OCN=2, BIAS, OCV/CPU)|9.612|9.112|1.05| |conv3d::Conv3D::(GFLOPS=1.267, K=[5 x 5 x 5], IN={1, 3, 75, 75, 100}, OCN=3, PM=SAME, BIAS, OCV/CPU)|69.000|64.676|1.07| |conv3d::Conv3D::(GFLOPS=1.343, K=[3 x 3 x 3], IN={1, 11, 9, 150, 200}, OCN=11, PM=VALID, BIAS, OCV/CPU)|20.248|18.451|1.10| |conv::Conv::(GFLOPS=0.177, K=[1 x 1], IN={1, 512, 26, 26}, OCN=256, OCV/CPU)|1.395|1.392|1.00| |conv::Conv::(GFLOPS=0.177, K=[1 x 1], IN={1, 1024, 13, 13}, OCN=512, OCV/CPU)|1.990|1.984|1.00| |conv::Conv::(GFLOPS=0.178, K=[1 x 1], IN={1, 256, 52, 52}, OCN=128, OCV/CPU)|1.393|1.360|1.02| |conv::Conv::(GFLOPS=0.210, K=[1 x 1], IN={1, 576, 38, 50}, OCN=96, PM=SAME, BIAS, OCV/CPU)|1.813|1.744|1.04| |conv::Conv::(GFLOPS=0.231, K=[3 x 3], IN={1, 128, 56, 56}, OCN=32, P=[1 x 1], OCV/CPU)|1.190|1.191|1.00| |conv::Conv::(GFLOPS=0.231, K=[3 x 3], IN={1, 256, 14, 14}, OCN=256, P=[1 x 1], OCV/CPU)|1.286|1.284|1.00| |conv::Conv::(GFLOPS=0.280, K=[1 x 1], IN={1, 576, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|2.295|2.279|1.01| |conv::Conv::(GFLOPS=0.302, K=[3 x 3], IN={1, 64, 64, 64}, OCN=64, PM=SAME, OCV/CPU)|1.322|1.331|0.99| |conv::Conv::(GFLOPS=0.357, K=[1 x 1], IN={1, 64, 208, 208}, OCN=64, OCV/CPU)|3.784|3.533|1.07| |conv::Conv::(GFLOPS=0.420, K=[3 x 3], IN={1, 96, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|1.838|1.844|1.00| |conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 128, 40, 40}, OCN=128, PM=SAME, OCV/CPU)|1.957|1.959|1.00| |conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 256, 20, 20}, OCN=256, PM=SAME, OCV/CPU)|2.596|2.573|1.01| |conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 512, 10, 10}, OCN=512, PM=SAME, OCV/CPU)|4.183|4.083|1.02| |conv::Conv::(GFLOPS=0.561, K=[3 x 3], IN={1, 128, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|2.413|2.406|1.00| |conv::Conv::(GFLOPS=0.624, K=[3 x 3], IN={1, 128, 46, 46}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|2.538|2.546|1.00| |conv::Conv::(GFLOPS=0.701, K=[3 x 3], IN={1, 128, 38, 50}, OCN=160, PM=SAME, BIAS, OCV/CPU)|2.972|2.980|1.00| |conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 64, 104, 104}, OCN=64, P=[1 x 1], OCV/CPU)|3.452|3.464|1.00| |conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 128, 52, 52}, OCN=128, P=[1 x 1], OCV/CPU)|3.082|3.105|0.99| |conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 256, 26, 26}, OCN=256, P=[1 x 1], OCV/CPU)|4.043|3.919|1.03| |conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 512, 13, 13}, OCN=512, P=[1 x 1], OCV/CPU)|5.538|5.531|1.00| |conv::Conv::(GFLOPS=0.830, K=[3 x 3], IN={1, 64, 75, 100}, OCN=96, PM=SAME, BIAS, OCV/CPU)|3.393|3.418|0.99| |conv::Conv::(GFLOPS=0.958, K=[3 x 3], IN={1, 192, 38, 38}, OCN=192, PM=SAME, OCV/CPU)|4.325|4.234|1.02| |conv::Conv::(GFLOPS=0.958, K=[3 x 3], IN={1, 384, 19, 19}, OCN=384, PM=SAME, OCV/CPU)|6.009|5.908|1.02| |conv::Conv::(GFLOPS=1.022, K=[3 x 3], IN={1, 576, 19, 19}, OCN=273, PM=SAME, BIAS, OCV/CPU)|6.557|6.376|1.03| |conv::Conv::(GFLOPS=1.112, K=[3 x 3], IN={1, 512, 10, 10}, OCN=1206, P=[1 x 1], BIAS, OCV/CPU)|10.114|9.472|1.07| |conv::Conv::(GFLOPS=1.181, K=[3 x 3], IN={1, 64, 160, 200}, OCN=128, S=[2 x 2], P=[1 x 1], BIAS, OCV/CPU)|10.373|9.879|1.05| |conv::Conv::(GFLOPS=1.182, K=[3 x 3], IN={1, 32, 320, 400}, OCN=64, S=[2 x 2], P=[1 x 1], BIAS, OCV/CPU)|12.782|11.624|1.10| |conv::Conv::(GFLOPS=1.195, K=[9 x 9], IN={1, 32, 240, 320}, OCN=3, P=[4 x 4], BIAS, OCV/CPU)|90.931|90.552|1.00| |conv::Conv::(GFLOPS=1.196, K=[3 x 3], IN={1, 384, 26, 26}, OCN=256, P=[1 x 1], OCV/CPU)|6.091|5.818|1.05| |conv::Conv::(GFLOPS=1.210, K=[3 x 3], IN={1, 32, 256, 256}, OCN=32, PM=SAME, OCV/CPU)|7.083|6.643|1.07| |conv::Conv::(GFLOPS=1.245, K=[3 x 3], IN={1, 64, 75, 75}, OCN=192, PM=SAME, BIAS, OCV/CPU)|5.054|5.059|1.00| |conv::Conv::(GFLOPS=1.245, K=[3 x 3], IN={1, 96, 75, 100}, OCN=96, PM=SAME, BIAS, OCV/CPU)|5.005|4.931|1.02| |conv::Conv::(GFLOPS=1.248, K=[3 x 3], IN={1, 256, 46, 46}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|4.951|5.065|0.98| |conv::Conv::(GFLOPS=1.258, K=[3 x 3], IN={1, 1280, 10, 10}, OCN=546, PM=SAME, BIAS, OCV/CPU)|11.957|11.293|1.06| |conv::Conv::(GFLOPS=1.261, K=[3 x 3], IN={1, 192, 38, 50}, OCN=192, PM=SAME, BIAS, OCV/CPU)|5.328|5.250|1.01| |conv::Conv::(GFLOPS=1.416, K=[3 x 3], IN={1, 128, 62, 82}, OCN=128, BIAS, OCV/CPU)|5.544|5.292|1.05| |conv::Conv::(GFLOPS=1.500, K=[3 x 3], IN={1, 128, 64, 84}, OCN=128, BIAS, OCV/CPU)|6.186|5.893|1.05| |conv::Conv::(GFLOPS=1.586, K=[3 x 3], IN={1, 128, 66, 86}, OCN=128, BIAS, OCV/CPU)|6.153|5.834|1.05| |conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 256, 26, 26}, OCN=512, P=[1 x 1], OCV/CPU)|8.154|8.107|1.01| |conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 256, 52, 52}, OCN=512, S=[2 x 2], P=[1 x 1], OCV/CPU)|12.699|12.256|1.04| |conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 512, 13, 13}, OCN=1024, P=[1 x 1], OCV/CPU)|11.355|11.217|1.01| |conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 512, 26, 26}, OCN=1024, S=[2 x 2], P=[1 x 1], OCV/CPU)|19.062|17.814|1.07| |conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 64, 104, 104}, OCN=128, P=[1 x 1], OCV/CPU)|6.820|6.531|1.04| |conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 64, 208, 208}, OCN=128, S=[2 x 2], P=[1 x 1], OCV/CPU)|14.502|13.483|1.08| |conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 128, 52, 52}, OCN=256, P=[1 x 1], OCV/CPU)|6.270|6.123|1.02| |conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 128, 104, 104}, OCN=256, S=[2 x 2], P=[1 x 1], OCV/CPU)|13.173|12.451|1.06| |conv::Conv::(GFLOPS=1.598, K=[3 x 3], IN={1, 32, 208, 208}, OCN=64, P=[1 x 1], OCV/CPU)|8.326|7.652|1.09| |conv::Conv::(GFLOPS=1.598, K=[3 x 3], IN={1, 32, 416, 416}, OCN=64, S=[2 x 2], P=[1 x 1], OCV/CPU)|17.605|16.465|1.07| |conv::Conv::(GFLOPS=1.659, K=[3 x 3], IN={1, 960, 10, 10}, OCN=960, PM=SAME, OCV/CPU)|15.675|14.771|1.06| |conv::Conv::(GFLOPS=1.660, K=[3 x 3], IN={1, 128, 75, 75}, OCN=128, G=128, P=[1 x 1], BIAS, OCV/CPU)|0.420|0.423|0.99| |conv::Conv::(GFLOPS=1.660, K=[3 x 3], IN={1, 128, 75, 75}, OCN=128, PM=SAME, OCV/CPU)|6.788|6.491|1.05| |conv::Conv::(GFLOPS=1.675, K=[3 x 3], IN={1, 128, 68, 88}, OCN=128, BIAS, OCV/CPU)|6.456|6.168|1.05| |conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 256, 38, 38}, OCN=256, G=256, P=[1 x 1], BIAS, OCV/CPU)|0.263|0.261|1.01| |conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 256, 38, 38}, OCN=256, PM=SAME, OCV/CPU)|7.690|7.398|1.04| |conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, G=512, P=[1 x 1], BIAS, OCV/CPU)|0.200|0.202|0.99| |conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|10.542|10.464|1.01| |conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, PM=SAME, OCV/CPU)|10.876|10.728|1.01| |conv::Conv::(GFLOPS=1.766, K=[3 x 3], IN={1, 128, 70, 90}, OCN=128, BIAS, OCV/CPU)|7.194|6.768|1.06| |conv::Conv::(GFLOPS=1.859, K=[3 x 3], IN={1, 128, 72, 92}, OCN=128, BIAS, OCV/CPU)|7.099|6.731|1.05| |conv::Conv::(GFLOPS=1.888, K=[3 x 3], IN={1, 1024, 10, 10}, OCN=1024, G=1024, P=[1 x 1], BIAS, OCV/CPU)|0.147|0.162|0.91| |conv::Conv::(GFLOPS=1.888, K=[3 x 3], IN={1, 1024, 10, 10}, OCN=1024, PM=SAME, OCV/CPU)|18.558|17.141|1.08| |conv::Conv::(GFLOPS=1.954, K=[3 x 3], IN={1, 128, 74, 94}, OCN=128, BIAS, OCV/CPU)|7.641|7.219|1.06| |conv::Conv::(GFLOPS=1.995, K=[9 x 9], IN={1, 3, 320, 400}, OCN=32, P=[4 x 4], BIAS, OCV/CPU)|22.666|20.999|1.08| |conv::Conv::(GFLOPS=2.052, K=[3 x 3], IN={1, 128, 76, 96}, OCN=128, BIAS, OCV/CPU)|8.523|7.921|1.08| |conv::Conv::(GFLOPS=2.100, K=[3 x 3], IN={1, 144, 75, 75}, OCN=144, PM=SAME, OCV/CPU)|8.514|8.109|1.05| |conv::Conv::(GFLOPS=2.153, K=[3 x 3], IN={1, 128, 78, 98}, OCN=128, BIAS, OCV/CPU)|8.300|7.878|1.05| |conv::Conv::(GFLOPS=2.156, K=[3 x 3], IN={1, 576, 19, 19}, OCN=576, PM=SAME, OCV/CPU)|13.403|13.131|1.02| |conv::Conv::(GFLOPS=2.255, K=[3 x 3], IN={1, 128, 80, 100}, OCN=128, BIAS, OCV/CPU)|8.920|8.357|1.07| |conv::Conv::(GFLOPS=2.719, K=[3 x 3], IN={1, 96, 256, 256}, OCN=96, S=[2 x 2], PM=SAME, OCV/CPU)|28.827|27.616|1.04| |conv::Conv::(GFLOPS=3.319, K=[3 x 3], IN={1, 128, 75, 75}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|12.895|12.670|1.02| |conv::Conv::(GFLOPS=3.321, K=[3 x 3], IN={1, 64, 150, 150}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|14.120|13.078|1.08| |conv::Conv::(GFLOPS=3.398, K=[7 x 7], IN={1, 128, 46, 46}, OCN=128, P=[3 x 3], BIAS, OCV/CPU)|27.541|27.582|1.00| |conv::Conv::(GFLOPS=3.407, K=[3 x 3], IN={1, 512, 19, 19}, OCN=1024, D=[6 x 6], P=[6 x 6], BIAS, OCV/CPU)|32.367|31.140|1.04| |conv::Conv::(GFLOPS=3.408, K=[3 x 3], IN={1, 256, 38, 38}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|14.934|14.910|1.00| |conv::Conv::(GFLOPS=4.247, K=[3 x 3], IN={1, 480, 32, 32}, OCN=480, PM=SAME, OCV/CPU)|18.289|18.491|0.99| |conv::Conv::(GFLOPS=4.247, K=[5 x 5], IN={1, 144, 128, 128}, OCN=144, S=[2 x 2], PM=SAME, OCV/CPU)|37.857|36.845|1.03| |conv::Conv::(GFLOPS=4.566, K=[7 x 7], IN={1, 172, 46, 46}, OCN=128, P=[3 x 3], BIAS, OCV/CPU)|37.402|36.566|1.02| |conv::Conv::(GFLOPS=4.993, K=[3 x 3], IN={1, 256, 46, 46}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|19.031|19.164|0.99| |conv::Conv::(GFLOPS=4.993, K=[3 x 3], IN={1, 512, 46, 46}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|19.019|19.135|0.99| |conv::Conv::(GFLOPS=4.994, K=[3 x 3], IN={1, 128, 92, 92}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|20.077|19.400|1.03| |conv::Conv::(GFLOPS=4.997, K=[3 x 3], IN={1, 64, 184, 184}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|21.883|21.302|1.03| |conv::Conv::(GFLOPS=5.780, K=[5 x 5], IN={1, 672, 32, 32}, OCN=672, S=[2 x 2], PM=SAME, OCV/CPU)|51.288|49.851|1.03| |conv::Conv::(GFLOPS=6.116, K=[3 x 3], IN={1, 1152, 16, 16}, OCN=1152, PM=SAME, OCV/CPU)|27.349|28.359|0.96| |conv::Conv::(GFLOPS=6.118, K=[3 x 3], IN={1, 144, 128, 128}, OCN=144, PM=SAME, OCV/CPU)|24.915|25.130|0.99| |conv::Conv::(GFLOPS=6.637, K=[3 x 3], IN={1, 256, 75, 75}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|25.488|25.899|0.98| |conv::Conv::(GFLOPS=6.638, K=[3 x 3], IN={1, 128, 150, 150}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|27.346|27.390|1.00| |conv::Conv::(GFLOPS=6.641, K=[3 x 3], IN={1, 64, 150, 200}, OCN=192, PM=SAME, BIAS, OCV/CPU)|28.033|28.301|0.99| |conv::Conv::(GFLOPS=6.641, K=[3 x 3], IN={1, 64, 300, 300}, OCN=64, P=[1 x 1], BIAS, OCV/CPU)|50.216|49.970|1.00| |conv::Conv::(GFLOPS=6.814, K=[3 x 3], IN={1, 512, 38, 38}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|29.670|29.513|1.01| |conv::Conv::(GFLOPS=8.025, K=[3 x 3], IN={1, 1024, 19, 19}, OCN=1206, P=[1 x 1], BIAS, OCV/CPU)|50.565|49.634|1.02| |conv::Conv::(GFLOPS=9.986, K=[3 x 3], IN={1, 512, 46, 46}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|37.900|37.814|1.00| |conv::Conv::(GFLOPS=9.987, K=[3 x 3], IN={1, 256, 92, 92}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|41.367|39.742|1.04| |conv::Conv::(GFLOPS=9.989, K=[3 x 3], IN={1, 128, 184, 184}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|49.128|50.350|0.98| |conv::Conv::(GFLOPS=9.993, K=[3 x 3], IN={1, 64, 368, 368}, OCN=64, P=[1 x 1], BIAS, OCV/CPU)|79.643|80.645|0.99| |conv::Conv::(GFLOPS=10.087, K=[3 x 3], IN={1, 576, 38, 50}, OCN=512, PM=SAME, BIAS, OCV/CPU)|41.439|40.895|1.01| |conv::Conv::(GFLOPS=10.701, K=[3 x 3], IN={1, 512, 38, 38}, OCN=804, P=[1 x 1], BIAS, OCV/CPU)|46.504|46.220|1.01| |conv::Conv::(GFLOPS=11.797, K=[5 x 5], IN={1, 240, 64, 64}, OCN=240, PM=SAME, OCV/CPU)|98.086|96.842|1.01| |conv::Conv::(GFLOPS=11.797, K=[5 x 5], IN={1, 480, 32, 32}, OCN=480, PM=SAME, OCV/CPU)|102.447|97.299|1.05| |conv::Conv::(GFLOPS=16.987, K=[5 x 5], IN={1, 1152, 16, 16}, OCN=1152, PM=SAME, OCV/CPU)|145.047|144.996|1.00| |conv::Conv::(GFLOPS=23.122, K=[5 x 5], IN={1, 672, 32, 32}, OCN=672, PM=SAME, OCV/CPU)|206.104|195.543|1.05| ### Test on M1(ARM) platform |Name of Test|4.x|patch|4.x vs patch (x-factor)| |---|:-:|:-:|:-:| |conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 2, 19}, OCN=2, G=2, S=2, P=(1, 1), BIAS, OCV/CPU)|0.001|0.001|0.97| |conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 2, 25}, OCN=2, G=2, P=(2, 2), PM=SAME, OCV/CPU)|0.001|0.001|0.94| |conv1d::Conv1D::(GFLOPS=0.000, K=[3], IN={1, 6, 10}, OCN=6, PM=VALID, BIAS, OCV/CPU)|0.002|0.002|0.92| |conv3d::Conv3D::(GFLOPS=0.000, K=[1 x 1 x 1], IN={1, 4, 9, 10, 10}, OCN=4, S=[1 x 1 x 2], P=(1, 1) x (1, 1) x (1, 1), PM=VALID, OCV/CPU)|0.003|0.003|1.00| |conv3d::Conv3D::(GFLOPS=0.000, K=[1 x 1 x 1], IN={1, 8, 1, 10, 10}, OCN=8, G=8, P=(1, 1) x (1, 1) x (1, 1), BIAS, OCV/CPU)|0.003|0.003|1.00| |conv3d::Conv3D::(GFLOPS=0.000, K=[3 x 3 x 3], IN={1, 2, 19, 19, 19}, OCN=2, G=2, S=[2 x 2 x 2], P=(1, 1) x (1, 1) x (1, 1), BIAS, OCV/CPU)|0.031|0.031|1.00| |conv3d::Conv3D::(GFLOPS=0.000, K=[3 x 4 x 2], IN={1, 4, 8, 10, 10}, OCN=4, G=4, S=[1 x 2 x 1], BIAS, OCV/CPU)|0.009|0.009|1.00| |conv3d::Conv3D::(GFLOPS=0.001, K=[3 x 3 x 3], IN={1, 2, 25, 19, 19}, OCN=2, G=2, S=[1 x 2 x 2], P=(2, 2) x (2, 2) x (2, 2), PM=SAME, OCV/CPU)|0.066|0.066|1.01| |conv3d::Conv3D::(GFLOPS=0.002, K=[3 x 1 x 4], IN={1, 14, 5, 10, 10}, OCN=14, PM=SAME, OCV/CPU)|0.102|0.102|1.00| |conv3d::Conv3D::(GFLOPS=0.006, K=[5 x 5 x 5], IN={1, 4, 50, 19, 19}, OCN=4, S=[2 x 2 x 2], P=(1, 1) x (1, 1) x (1, 1), PM=VALID, OCV/CPU)|0.328|0.328|1.00| |conv3d::Conv3D::(GFLOPS=0.027, K=[3 x 3 x 3], IN={1, 6, 10, 38, 50}, OCN=6, PM=VALID, BIAS, OCV/CPU)|0.693|0.747|0.93| |conv3d::Conv3D::(GFLOPS=0.030, K=[5 x 5 x 5], IN={1, 6, 19, 19, 19}, OCN=6, G=2, OCV/CPU)|1.268|1.266|1.00| |conv3d::Conv3D::(GFLOPS=0.045, K=[7 x 7 x 7], IN={1, 2, 38, 38, 38}, OCN=2, S=[1 x 2 x 1], OCV/CPU)|3.530|3.581|0.99| |conv3d::Conv3D::(GFLOPS=0.053, K=[3 x 3 x 3], IN={1, 10, 98, 10, 10}, OCN=10, PM=SAME, OCV/CPU)|1.186|1.188|1.00| |conv3d::Conv3D::(GFLOPS=0.071, K=[7 x 7 x 7], IN={1, 6, 15, 19, 19}, OCN=6, S=[2 x 1 x 1], P=(3, 3) x (3, 3) x (3, 3), PM=SAME, BIAS, OCV/CPU)|2.682|2.683|1.00| |conv3d::Conv3D::(GFLOPS=0.093, K=[5 x 5 x 5], IN={1, 4, 40, 75, 75}, OCN=4, S=[2 x 2 x 2], OCV/CPU)|4.490|4.501|1.00| |conv3d::Conv3D::(GFLOPS=0.116, K=[5 x 5 x 5], IN={1, 2, 21, 75, 100}, OCN=2, BIAS, OCV/CPU)|8.914|8.938|1.00| |conv3d::Conv3D::(GFLOPS=1.267, K=[5 x 5 x 5], IN={1, 3, 75, 75, 100}, OCN=3, PM=SAME, BIAS, OCV/CPU)|69.819|69.876|1.00| |conv3d::Conv3D::(GFLOPS=1.343, K=[3 x 3 x 3], IN={1, 11, 9, 150, 200}, OCN=11, PM=VALID, BIAS, OCV/CPU)|24.058|22.420|1.07| |conv::Conv::(GFLOPS=0.177, K=[1 x 1], IN={1, 512, 26, 26}, OCN=256, OCV/CPU)|2.240|2.236|1.00| |conv::Conv::(GFLOPS=0.177, K=[1 x 1], IN={1, 1024, 13, 13}, OCN=512, OCV/CPU)|3.132|3.136|1.00| |conv::Conv::(GFLOPS=0.178, K=[1 x 1], IN={1, 256, 52, 52}, OCN=128, OCV/CPU)|1.920|1.919|1.00| |conv::Conv::(GFLOPS=0.210, K=[1 x 1], IN={1, 576, 38, 50}, OCN=96, PM=SAME, BIAS, OCV/CPU)|2.343|2.346|1.00| |conv::Conv::(GFLOPS=0.231, K=[3 x 3], IN={1, 128, 56, 56}, OCN=32, P=[1 x 1], OCV/CPU)|1.234|1.116|1.11| |conv::Conv::(GFLOPS=0.231, K=[3 x 3], IN={1, 256, 14, 14}, OCN=256, P=[1 x 1], OCV/CPU)|1.109|1.121|0.99| |conv::Conv::(GFLOPS=0.280, K=[1 x 1], IN={1, 576, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|3.197|3.084|1.04| |conv::Conv::(GFLOPS=0.302, K=[3 x 3], IN={1, 64, 64, 64}, OCN=64, PM=SAME, OCV/CPU)|1.123|1.148|0.98| |conv::Conv::(GFLOPS=0.357, K=[1 x 1], IN={1, 64, 208, 208}, OCN=64, OCV/CPU)|4.836|5.061|0.96| |conv::Conv::(GFLOPS=0.420, K=[3 x 3], IN={1, 96, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|1.535|1.463|1.05| |conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 128, 40, 40}, OCN=128, PM=SAME, OCV/CPU)|1.756|1.584|1.11| |conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 256, 20, 20}, OCN=256, PM=SAME, OCV/CPU)|1.821|1.820|1.00| |conv::Conv::(GFLOPS=0.472, K=[3 x 3], IN={1, 512, 10, 10}, OCN=512, PM=SAME, OCV/CPU)|7.049|6.672|1.06| |conv::Conv::(GFLOPS=0.561, K=[3 x 3], IN={1, 128, 38, 50}, OCN=128, PM=SAME, BIAS, OCV/CPU)|1.967|1.922|1.02| |conv::Conv::(GFLOPS=0.624, K=[3 x 3], IN={1, 128, 46, 46}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|1.943|1.977|0.98| |conv::Conv::(GFLOPS=0.701, K=[3 x 3], IN={1, 128, 38, 50}, OCN=160, PM=SAME, BIAS, OCV/CPU)|2.464|2.310|1.07| |conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 64, 104, 104}, OCN=64, P=[1 x 1], OCV/CPU)|2.860|2.904|0.98| |conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 128, 52, 52}, OCN=128, P=[1 x 1], OCV/CPU)|2.428|2.483|0.98| |conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 256, 26, 26}, OCN=256, P=[1 x 1], OCV/CPU)|2.955|2.983|0.99| |conv::Conv::(GFLOPS=0.798, K=[3 x 3], IN={1, 512, 13, 13}, OCN=512, P=[1 x 1], OCV/CPU)|4.328|4.484|0.97| |conv::Conv::(GFLOPS=0.830, K=[3 x 3], IN={1, 64, 75, 100}, OCN=96, PM=SAME, BIAS, OCV/CPU)|2.712|2.778|0.98| |conv::Conv::(GFLOPS=0.958, K=[3 x 3], IN={1, 192, 38, 38}, OCN=192, PM=SAME, OCV/CPU)|3.205|3.331|0.96| |conv::Conv::(GFLOPS=0.958, K=[3 x 3], IN={1, 384, 19, 19}, OCN=384, PM=SAME, OCV/CPU)|4.193|4.412|0.95| |conv::Conv::(GFLOPS=1.022, K=[3 x 3], IN={1, 576, 19, 19}, OCN=273, PM=SAME, BIAS, OCV/CPU)|5.026|4.565|1.10| |conv::Conv::(GFLOPS=1.112, K=[3 x 3], IN={1, 512, 10, 10}, OCN=1206, P=[1 x 1], BIAS, OCV/CPU)|14.490|14.213|1.02| |conv::Conv::(GFLOPS=1.181, K=[3 x 3], IN={1, 64, 160, 200}, OCN=128, S=[2 x 2], P=[1 x 1], BIAS, OCV/CPU)|14.886|14.003|1.06| |conv::Conv::(GFLOPS=1.182, K=[3 x 3], IN={1, 32, 320, 400}, OCN=64, S=[2 x 2], P=[1 x 1], BIAS, OCV/CPU)|15.923|15.184|1.05| |conv::Conv::(GFLOPS=1.195, K=[9 x 9], IN={1, 32, 240, 320}, OCN=3, P=[4 x 4], BIAS, OCV/CPU)|45.136|41.696|1.08| |conv::Conv::(GFLOPS=1.196, K=[3 x 3], IN={1, 384, 26, 26}, OCN=256, P=[1 x 1], OCV/CPU)|4.995|4.631|1.08| |conv::Conv::(GFLOPS=1.210, K=[3 x 3], IN={1, 32, 256, 256}, OCN=32, PM=SAME, OCV/CPU)|6.402|6.261|1.02| |conv::Conv::(GFLOPS=1.245, K=[3 x 3], IN={1, 64, 75, 75}, OCN=192, PM=SAME, BIAS, OCV/CPU)|4.478|3.965|1.13| |conv::Conv::(GFLOPS=1.245, K=[3 x 3], IN={1, 96, 75, 100}, OCN=96, PM=SAME, BIAS, OCV/CPU)|3.908|3.978|0.98| |conv::Conv::(GFLOPS=1.248, K=[3 x 3], IN={1, 256, 46, 46}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|4.176|4.206|0.99| |conv::Conv::(GFLOPS=1.258, K=[3 x 3], IN={1, 1280, 10, 10}, OCN=546, PM=SAME, BIAS, OCV/CPU)|21.509|21.136|1.02| |conv::Conv::(GFLOPS=1.261, K=[3 x 3], IN={1, 192, 38, 50}, OCN=192, PM=SAME, BIAS, OCV/CPU)|4.426|4.082|1.08| |conv::Conv::(GFLOPS=1.416, K=[3 x 3], IN={1, 128, 62, 82}, OCN=128, BIAS, OCV/CPU)|4.098|4.289|0.96| |conv::Conv::(GFLOPS=1.500, K=[3 x 3], IN={1, 128, 64, 84}, OCN=128, BIAS, OCV/CPU)|4.646|5.105|0.91| |conv::Conv::(GFLOPS=1.586, K=[3 x 3], IN={1, 128, 66, 86}, OCN=128, BIAS, OCV/CPU)|4.746|4.724|1.00| |conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 256, 26, 26}, OCN=512, P=[1 x 1], OCV/CPU)|5.614|5.779|0.97| |conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 256, 52, 52}, OCN=512, S=[2 x 2], P=[1 x 1], OCV/CPU)|21.909|20.718|1.06| |conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 512, 13, 13}, OCN=1024, P=[1 x 1], OCV/CPU)|8.256|8.290|1.00| |conv::Conv::(GFLOPS=1.595, K=[3 x 3], IN={1, 512, 26, 26}, OCN=1024, S=[2 x 2], P=[1 x 1], OCV/CPU)|25.196|23.267|1.08| |conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 64, 104, 104}, OCN=128, P=[1 x 1], OCV/CPU)|5.721|5.172|1.11| |conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 64, 208, 208}, OCN=128, S=[2 x 2], P=[1 x 1], OCV/CPU)|20.066|18.322|1.10| |conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 128, 52, 52}, OCN=256, P=[1 x 1], OCV/CPU)|4.448|4.542|0.98| |conv::Conv::(GFLOPS=1.596, K=[3 x 3], IN={1, 128, 104, 104}, OCN=256, S=[2 x 2], P=[1 x 1], OCV/CPU)|19.193|19.013|1.01| |conv::Conv::(GFLOPS=1.598, K=[3 x 3], IN={1, 32, 208, 208}, OCN=64, P=[1 x 1], OCV/CPU)|6.009|5.964|1.01| |conv::Conv::(GFLOPS=1.598, K=[3 x 3], IN={1, 32, 416, 416}, OCN=64, S=[2 x 2], P=[1 x 1], OCV/CPU)|20.169|20.009|1.01| |conv::Conv::(GFLOPS=1.659, K=[3 x 3], IN={1, 960, 10, 10}, OCN=960, PM=SAME, OCV/CPU)|22.584|23.423|0.96| |conv::Conv::(GFLOPS=1.660, K=[3 x 3], IN={1, 128, 75, 75}, OCN=128, G=128, P=[1 x 1], BIAS, OCV/CPU)|0.372|0.504|0.74| |conv::Conv::(GFLOPS=1.660, K=[3 x 3], IN={1, 128, 75, 75}, OCN=128, PM=SAME, OCV/CPU)|5.426|5.456|0.99| |conv::Conv::(GFLOPS=1.675, K=[3 x 3], IN={1, 128, 68, 88}, OCN=128, BIAS, OCV/CPU)|4.945|5.221|0.95| |conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 256, 38, 38}, OCN=256, G=256, P=[1 x 1], BIAS, OCV/CPU)|0.210|0.261|0.81| |conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 256, 38, 38}, OCN=256, PM=SAME, OCV/CPU)|5.720|5.997|0.95| |conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, G=512, P=[1 x 1], BIAS, OCV/CPU)|0.149|0.161|0.93| |conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|7.154|7.225|0.99| |conv::Conv::(GFLOPS=1.704, K=[3 x 3], IN={1, 512, 19, 19}, OCN=512, PM=SAME, OCV/CPU)|7.184|7.223|0.99| |conv::Conv::(GFLOPS=1.766, K=[3 x 3], IN={1, 128, 70, 90}, OCN=128, BIAS, OCV/CPU)|5.324|5.343|1.00| |conv::Conv::(GFLOPS=1.859, K=[3 x 3], IN={1, 128, 72, 92}, OCN=128, BIAS, OCV/CPU)|5.114|5.238|0.98| |conv::Conv::(GFLOPS=1.888, K=[3 x 3], IN={1, 1024, 10, 10}, OCN=1024, G=1024, P=[1 x 1], BIAS, OCV/CPU)|0.111|0.121|0.92| |conv::Conv::(GFLOPS=1.888, K=[3 x 3], IN={1, 1024, 10, 10}, OCN=1024, PM=SAME, OCV/CPU)|25.907|26.804|0.97| |conv::Conv::(GFLOPS=1.954, K=[3 x 3], IN={1, 128, 74, 94}, OCN=128, BIAS, OCV/CPU)|5.695|5.654|1.01| |conv::Conv::(GFLOPS=1.995, K=[9 x 9], IN={1, 3, 320, 400}, OCN=32, P=[4 x 4], BIAS, OCV/CPU)|27.435|27.566|1.00| |conv::Conv::(GFLOPS=2.052, K=[3 x 3], IN={1, 128, 76, 96}, OCN=128, BIAS, OCV/CPU)|6.944|6.164|1.13| |conv::Conv::(GFLOPS=2.100, K=[3 x 3], IN={1, 144, 75, 75}, OCN=144, PM=SAME, OCV/CPU)|7.180|6.717|1.07| |conv::Conv::(GFLOPS=2.153, K=[3 x 3], IN={1, 128, 78, 98}, OCN=128, BIAS, OCV/CPU)|6.817|6.050|1.13| |conv::Conv::(GFLOPS=2.156, K=[3 x 3], IN={1, 576, 19, 19}, OCN=576, PM=SAME, OCV/CPU)|9.225|8.660|1.07| |conv::Conv::(GFLOPS=2.255, K=[3 x 3], IN={1, 128, 80, 100}, OCN=128, BIAS, OCV/CPU)|7.496|6.625|1.13| |conv::Conv::(GFLOPS=2.719, K=[3 x 3], IN={1, 96, 256, 256}, OCN=96, S=[2 x 2], PM=SAME, OCV/CPU)|35.520|36.056|0.99| |conv::Conv::(GFLOPS=3.319, K=[3 x 3], IN={1, 128, 75, 75}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|9.990|9.702|1.03| |conv::Conv::(GFLOPS=3.321, K=[3 x 3], IN={1, 64, 150, 150}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|10.517|10.746|0.98| |conv::Conv::(GFLOPS=3.398, K=[7 x 7], IN={1, 128, 46, 46}, OCN=128, P=[3 x 3], BIAS, OCV/CPU)|36.702|36.731|1.00| |conv::Conv::(GFLOPS=3.407, K=[3 x 3], IN={1, 512, 19, 19}, OCN=1024, D=[6 x 6], P=[6 x 6], BIAS, OCV/CPU)|41.035|38.280|1.07| |conv::Conv::(GFLOPS=3.408, K=[3 x 3], IN={1, 256, 38, 38}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|10.981|10.573|1.04| |conv::Conv::(GFLOPS=4.247, K=[3 x 3], IN={1, 480, 32, 32}, OCN=480, PM=SAME, OCV/CPU)|12.863|12.384|1.04| |conv::Conv::(GFLOPS=4.247, K=[5 x 5], IN={1, 144, 128, 128}, OCN=144, S=[2 x 2], PM=SAME, OCV/CPU)|50.437|54.088|0.93| |conv::Conv::(GFLOPS=4.566, K=[7 x 7], IN={1, 172, 46, 46}, OCN=128, P=[3 x 3], BIAS, OCV/CPU)|50.650|50.635|1.00| |conv::Conv::(GFLOPS=4.993, K=[3 x 3], IN={1, 256, 46, 46}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|14.696|14.606|1.01| |conv::Conv::(GFLOPS=4.993, K=[3 x 3], IN={1, 512, 46, 46}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|16.201|15.426|1.05| |conv::Conv::(GFLOPS=4.994, K=[3 x 3], IN={1, 128, 92, 92}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|16.061|14.292|1.12| |conv::Conv::(GFLOPS=4.997, K=[3 x 3], IN={1, 64, 184, 184}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|17.743|18.250|0.97| |conv::Conv::(GFLOPS=5.780, K=[5 x 5], IN={1, 672, 32, 32}, OCN=672, S=[2 x 2], PM=SAME, OCV/CPU)|77.909|78.165|1.00| |conv::Conv::(GFLOPS=6.116, K=[3 x 3], IN={1, 1152, 16, 16}, OCN=1152, PM=SAME, OCV/CPU)|21.579|21.879|0.99| |conv::Conv::(GFLOPS=6.118, K=[3 x 3], IN={1, 144, 128, 128}, OCN=144, PM=SAME, OCV/CPU)|20.424|19.589|1.04| |conv::Conv::(GFLOPS=6.637, K=[3 x 3], IN={1, 256, 75, 75}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|19.389|19.461|1.00| |conv::Conv::(GFLOPS=6.638, K=[3 x 3], IN={1, 128, 150, 150}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|21.319|20.358|1.05| |conv::Conv::(GFLOPS=6.641, K=[3 x 3], IN={1, 64, 150, 200}, OCN=192, PM=SAME, BIAS, OCV/CPU)|22.609|21.826|1.04| |conv::Conv::(GFLOPS=6.641, K=[3 x 3], IN={1, 64, 300, 300}, OCN=64, P=[1 x 1], BIAS, OCV/CPU)|25.497|25.789|0.99| |conv::Conv::(GFLOPS=6.814, K=[3 x 3], IN={1, 512, 38, 38}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|21.966|22.108|0.99| |conv::Conv::(GFLOPS=8.025, K=[3 x 3], IN={1, 1024, 19, 19}, OCN=1206, P=[1 x 1], BIAS, OCV/CPU)|35.883|33.470|1.07| |conv::Conv::(GFLOPS=9.986, K=[3 x 3], IN={1, 512, 46, 46}, OCN=512, P=[1 x 1], BIAS, OCV/CPU)|31.041|29.314|1.06| |conv::Conv::(GFLOPS=9.987, K=[3 x 3], IN={1, 256, 92, 92}, OCN=256, P=[1 x 1], BIAS, OCV/CPU)|29.922|28.145|1.06| |conv::Conv::(GFLOPS=9.989, K=[3 x 3], IN={1, 128, 184, 184}, OCN=128, P=[1 x 1], BIAS, OCV/CPU)|31.624|31.148|1.02| |conv::Conv::(GFLOPS=9.993, K=[3 x 3], IN={1, 64, 368, 368}, OCN=64, P=[1 x 1], BIAS, OCV/CPU)|38.564|39.164|0.98| |conv::Conv::(GFLOPS=10.087, K=[3 x 3], IN={1, 576, 38, 50}, OCN=512, PM=SAME, BIAS, OCV/CPU)|31.502|30.269|1.04| |conv::Conv::(GFLOPS=10.701, K=[3 x 3], IN={1, 512, 38, 38}, OCN=804, P=[1 x 1], BIAS, OCV/CPU)|34.248|34.589|0.99| |conv::Conv::(GFLOPS=11.797, K=[5 x 5], IN={1, 240, 64, 64}, OCN=240, PM=SAME, OCV/CPU)|130.211|134.120|0.97| |conv::Conv::(GFLOPS=11.797, K=[5 x 5], IN={1, 480, 32, 32}, OCN=480, PM=SAME, OCV/CPU)|127.490|132.874|0.96| |conv::Conv::(GFLOPS=16.987, K=[5 x 5], IN={1, 1152, 16, 16}, OCN=1152, PM=SAME, OCV/CPU)|199.834|200.081|1.00| |conv::Conv::(GFLOPS=23.122, K=[5 x 5], IN={1, 672, 32, 32}, OCN=672, PM=SAME, OCV/CPU)|247.346|247.523|1.00| ### 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 ``` force_builders=Linux AVX2,Custom Win build_image:Custom Win=msvs2019 CPU_BASELINE:Custom Win=AVX512_SKX ```	2023-03-10 11:59:49 +03:00
Alexey Shtern	c6e5f60525	Merge pull request #23301 from shtern:fix_quaternion ... Fixed strict type in slerp and spline; Fixed nlerp usage condition Fixes #23293 The PR is fixing the issue described in [Issue #23293 ](https://github.com/opencv/opencv/issues/23293) - [X] I agree to contribute to the project under Apache 2 License. - [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [X] The PR is proposed to the proper branch - [X] There is a reference to the original bug report and related work - [X] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [X] The feature is well documented and sample code can be built with the project CMake	2023-03-10 11:37:43 +03:00
Alexander Smorkalov	29cc675375	Merge pull request #23268 from VadimLevin:dev/vlevin/bindings-io-arg-modifiers-fix ... fix: remove extra '/O' modifier for '/IO' arguments	2023-03-10 11:05:03 +03:00
Bhavit Patel	7ea6b356c7	Merge pull request #23305 from bhavitp:fix/calib3d/undistortion_grid ... Resolves https://github.com/opencv/opencv/issues/23304 Fixes the incorrect pixel grid Switches type to double to avoid precision loss as all callers use doubles ### 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	2023-03-10 09:50:36 +03:00
Vincent Rabaud	8ad8ec679f	Merge pull request #22441 from vrabaud:hls_while ... In case of huge (and probably invalid) input, make sure we do not rely only on the while loops for truncation. ### 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	2023-03-07 15:05:38 +03:00
Alexander Alekhin	0052d46b8e	Merge pull request #23237 from hzcyf:feature/orbbec_femto_mega_support	2023-03-01 07:13:22 +00:00
Corentin Noël	a035608100	highgui: Reduce the difference between GTK+2 and GTK+3 version ... Make the GTK+3 API the default one by wrapping the missing GTK+2 functions in defines Make sure to always guard with GTK_VERSION2 or GTK_VERSION3 to allow future addition of Gtk4	2023-02-28 00:48:39 +01:00
Alexander Alekhin	fe59a5695f	core(simd): 64-bit integer EQ/NE without misused 64F guard	2023-02-27 19:51:55 +00:00
Alexander Alekhin	9eb5e39ff3	dnn(tflite): fix wrong axis normalization	2023-02-21 21:20:37 +00:00
Alexander Alekhin	5a227352b4	Merge pull request #23274 from alalek:dnn_flatbuffers_builtin	2023-02-21 18:42:49 +00:00
Alexander Alekhin	bdff0949bb	dnn(tflite): add 3rdparty flatbuffers with pre-generated schema	2023-02-21 16:06:19 +00:00
Alexander Alekhin	4262127854	Merge pull request #23246 from mshabunin:rvv07-support	2023-02-20 18:06:30 +00:00
Vadim Pisarevsky	ca48e217f1	fixed another SIFT constructor (#23272)	2023-02-18 00:07:45 +03:00
Vadim Pisarevsky	f48939c2d7	temporarily set "enable_precise_upscale=false" by default to avoid sporadic failures in regression tests (#23270)	2023-02-17 18:57:38 +03:00
Stefan Becker	39e2ebbde4	Aruco/Charuco test case fixes for floating point for loops	2023-02-17 16:45:18 +01:00
Maksim Shabunin	903ec0ec60	RISC-V: support RVV 0.7 in mainline RVV intrinsics	2023-02-17 18:17:11 +03:00
Zihao Mu	20dac7ea48	Merge pull request #23255 from zihaomu:fused_cuda_naryeltwise ... DNN: fuse conv+naryEletwise on CUDA backend.	2023-02-17 10:18:13 +00:00
Vadim Levin	642942a72f	fix: remove extra '/O' modifier for '/IO' arguments	2023-02-17 13:07:28 +03:00
Vaclav Vavra	923dbcc58f	different interpolation by double image (#23124) ... * different interpolation by double image * fixing scaling mapping * fixing a test * added an option to enable previous interpolation * added doxygen entries for the new parameter * ASSERT_TRUE -> ASSERT_EQ * changed log message when using old upscale mode	2023-02-17 10:35:54 +03:00
Vladimir Ponomarev	2ab7b7c09e	Remove separator between trackbars. ... Remove separator between 2 or more trackbars. This separator has zero thickness and creates bags in toolbar.	2023-02-16 15:18:30 +03:00
Anatoliy Talamanov	6c235c8edb	Merge pull request #23211 from TolyaTalamanov:at/pipeline-modeling-tool-perf-alignment ... [G-API] Pipeline modeling tool: Refactor calculating performance statistics * Add warmup execution * Align perf metrics * Add busy wait mode for source * Small fix for late frames * pl_fn to src_fn * Change show statistics * Correct warm-up iteration * Properly calculate drop frames * Enable frame dropping for streaming mode * Enable frame dropping for streaming mode * Fix comments to review * Fix typos * Cosmetic	2023-02-15 14:04:14 +03:00
Lilit Grigoryan	a87b9fb4b6	Fix focal length estimation from homography matrix	2023-02-14 21:51:09 +03:00
Alexander Alekhin	58d8a2702a	Merge pull request #23243 from WanliZhong:accelerate_palm_det	2023-02-14 16:25:02 +00:00
Corentin Noël	f1f14ce403	highgui: Set hard GLib requirement to >=2.32 ... This version has been released 10 years ago.	2023-02-14 13:28:42 +01:00
Dmitry Kurtaev	76350cd30f	Merge pull request #23161 from dkurt:dnn_tflite ... TFLite models importer * initial commit * Refactor TFLiteImporter * Better FlatBuffers detection * Add permute before 4D->3D reshape * Track layers layout * TFLite Convolution2DTransposeBias layer * Skip TFLite tests without FlatBuffers * Fix check of FlatBuffers in tests. Add readNetFromTFLite from buffer * TFLite Max Unpooling test * Add skip for TFLite unpooling test * Revert DW convolution workaround * Fix ObjC bindings * Better errors handling * Regenerate TFLite schema using flatc * dnn(tflite): more checks, better logging * Checks for unimplemented fusion. Fix tests	2023-02-13 14:00:20 +00:00
Alexander Alekhin	47293f28cf	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2023-02-11 18:35:00 +00:00
hzcyf	325fe7e663	add support for Orbbec Femto Mega RGB-D camera	2023-02-11 16:22:35 +08:00
Yannis Guyon	56102737d7	Merge pull request #23131 from y-guyon:align_ptr_intrin_sse ... Fix misaligned-pointer-use in intrin_sse.hpp * Fix misaligned-pointer-use in intrin_sse.hpp * Use _mm_loadu_si32() instead of memcpy() * Use CV_DECL_ALIGNED instead of _mm_loadu_si32()	2023-02-10 22:46:21 +00:00
Yuantao Feng	c2b7c1f13b	Merge pull request #23219 from fengyuentau:add_gelu ... Add GELU layer for vision transformers * add gelu and gelu approximation * drop setKernelParams	2023-02-10 18:03:29 +00:00
wanli	c8f5e228fc	release MUL and ADD operator on CUDA	2023-02-10 19:33:59 +08:00
Alexander Alekhin	96a45e842e	Merge pull request #23061 from WanliZhong:gemm_cuda ... DNN: make GEMM can be supported with transA and transB in CUDA	2023-02-09 00:06:32 +03:00
Ibai Gorordo	c280cd7290	Merge pull request #23210 from ibaiGorordo:rect_nfa_bugfix ... Fix rect_nfa (lsd) * Fix missing log_gamma in nfa() Comparing the nfa function with the function in the binomial_nfa repository (https://github.com/rafael-grompone-von-gioi/binomial_nfa/blob/main/C99/log_binomial_nfa.c#L152), the first log_gamma call is missing. * Fix rect_nfa pixel index * Replace std::rotate * Rename tmp to v_tmp * Replace auto and std::min_element * Change slope equality check to int * Fix left limit check	2023-02-08 17:33:06 +00:00
Alexander Alekhin	44290af516	Merge pull request #23224 from VadimLevin:dev/vlevin/cxx-named-arguments	2023-02-08 17:31:30 +00:00
Alexander Alekhin	649841e6bf	Merge pull request #23225 from mshabunin:fix-clang-warnings	2023-02-08 17:28:07 +00:00
Maksim Shabunin	e4acd74e87	Fix some clang 14 warnings	2023-02-07 01:19:00 +03:00
Vadim Levin	b07031b594	feat: named arguments handling in Python interface	2023-02-06 22:14:58 +03:00
Alexander Smorkalov	3d635cb4a7	Warning supression fix for XCode 13.1 and newer. Backport #23203	2023-02-06 11:12:05 +03:00
keith siilats	b0aace31ec	Update charuco_detector.cpp ... Delete the debug print statements accidentally left in	2023-02-05 19:39:25 -05:00
Tinson Lai	f8f425e34c	Change custom_hal.hpp output location	2023-02-03 18:21:15 +08:00
Alexander Smorkalov	c855dcc52f	Supressed tones of Wdeprecated-copy that jump out of GTes after XCode update to 13.1 on Mac M1.	2023-02-02 13:54:47 +03:00
whuaegeansea	400572b19f	Fix bug	2023-02-01 11:25:31 +08:00
wanli	4718a4bf81	make GEMM can be supported with transA and transB in CUDA	2023-01-31 15:14:17 +08:00
Maksim Shabunin	9efaa3cce7	RISC-V/RVV 0.7: v_add/v_sub saturation and avoiding 64-bit register in v_check_	2023-01-30 23:25:53 +03:00
Alexander Smorkalov	ff8af10cfe	Merge pull request #23168 from genciberisha/bug/issue-22205_and_23105_encodeStructuredAppend_problem ... Fix encodeStructuredAppend() resulting in only one QR code problem, and false output data fix.	2023-01-30 09:15:18 +03:00
Alexander Alekhin	cd44aa0bb1	Merge pull request #23162 from zihaomu:issue_23151	2023-01-28 13:00:43 +00:00
Alexander Alekhin	d3ae175bca	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2023-01-28 10:01:23 +00:00
Rostislav Vasilikhin	deaf632881	Merge pull request #23179 from savuor:port34_stddev_calib_fisheye ... Backport to 3.4 of the fisheye calibration uncertainty fix * uncertainties fix * trailing whitespace * comment added	2023-01-28 09:56:13 +00:00
Alexander Alekhin	c67d4fc633	Merge pull request #23076 from inayd:22012-bugfixFillPoly	2023-01-28 09:55:02 +00:00
zihaomu	f45a12439a	fix depth wise issue.	2023-01-28 11:41:00 +08:00
Yuantao Feng	4d918ba40b	Merge pull request #23047 from fengyuentau:layer_norm ... dnn: add layer normalization for vision transformers * add layer norm onnx parser, impl and tests * add onnx graph simplifier for layer norm expanded * handle the case when constants are of type Initializer * add test case for layer norm expanded with initializers * use CV_Assert & CV_CheckType in place of CV_Assert_N; use forward_fallback for OCL_FP16 * use const ref / ref in parameters of invoker::run; extract inner const if from nested loop; use size_t in place of ull * template hasBias * remove trailing whitespace * use pointer parameter with null check; move normSize division & mean_square division outside of loop; use std::max to ensure positive value before std::sqrt * refactor implementation, optimize parallel_for * disable layer norm expanded * remove the removal of layer norm optional outputs	2023-01-27 16:35:59 +03:00
Yannis Guyon	bf29a4d746	Avoid double-checked locking with TSAN in parallel ... Omit the first check of the double-checked locking pattern in recordException() in parallel.cpp when CV_THREAD_SANITIZER is defined. This should only slow recordException() down when the thread sanitizer is used, and avoids the TSAN data race warning.	2023-01-27 13:36:33 +01:00
Genci Berisha	743d4ecf7b	generateQR() method data loss fix ... Added regression parameterized test for Structure Append mode final_qr_code clear outside generateQR() method	2023-01-26 23:30:14 +01:00
Alexander Alekhin	52855a39ad	Merge pull request #23165 from labeeb-7z:optimizeDistanceTransform	2023-01-25 16:52:46 +00:00
Lilo Huang	cb7fe597a5	Merge pull request #23172 from lilohuang:master ... Adding HEVC/H265 FourCC support to MSMF video writer * Adding HEVC/H265 fourcc to MSMF video writer Adding HEVC/H265 fourcc to MSMF video writer. I have verified it with my own video input stream, and it works well on my workstation. * Update video io testing * Adding macro fence to get rid of compiler error H265/HEVC encoder is only available in Windows or later. https://learn.microsoft.com/en-us/windows/win32/medfound/h-265---hevc-video-encoder * Update test_video_io.cpp	2023-01-25 04:49:08 +00:00
Alexander Alekhin	8ffc06ff72	Merge pull request #23173 from tomoaki0705:fix_warning_master	2023-01-23 15:33:16 +00:00
Tomoaki Teshima	186c18668c	suppress warning	2023-01-23 22:47:43 +09:00
Rostislav Vasilikhin	4009bca59a	Merge pull request #23025 from savuor:backport3_stddev_calib_fix ... Backport of #22992 to 3.4 ### 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	2023-01-23 14:59:43 +03:00
Alexander Alekhin	18cbfa4a4f	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2023-01-23 00:11:12 +00:00
Alexander Alekhin	b71a168937	Merge pull request #23154 from tomoaki0705:handleNonBitExact	2023-01-21 18:14:25 +00:00
Labib Asari	35c17f35be	removed redundant code	2023-01-21 00:16:48 +05:30
Alexander Smorkalov	3085fc6345	Merge pull request #23073 from savuor:fix_graphcut_used_edges_dense ... USAC fix: GraphCut fails to allocate big dense matrices	2023-01-20 14:55:40 +03:00
Alexander Alekhin	17e860a288	Merge pull request #16189 from mshabunin:enable-two-channels	2023-01-20 08:51:46 +00:00
Tomoaki Teshima	1833b034fe	make test tolerate to rounding error	2023-01-19 22:06:52 +09:00
Alexander Alekhin	69020666fe	test: reproducible results, enabled 2-channel tests, increased some thresholds	2023-01-19 15:39:33 +03:00
Alexander Alekhin	53144ee0eb	perf: drop runtime time adjustment calibration	2023-01-18 22:13:30 +00:00
Funatomi Takuya	dbdd357b0a	Extend USAC coverage. ... Add `estimateSE2(...)`, `estimateSE3(...)`, `estimateSIM2(...)`, `estimateSIM3(...)` for estimating an geometric transformation with rotation and translation (with scaling for SIM) using USAC: as alternative for `estimateAffinePartial2D` and `estimateAffine3D`. Modified test module. Remove unused variables. Remove initializer of unused variable. Add interfaces to accept UsacParams() and corresponding test codes. Revise test code. PartialNd removed Umeyama rewritten for code quality & speed comments & minors rise number of points fix, and +30% faster! only one number should be that big remove USAC code, leave fix only big number	2023-01-18 02:12:57 +01:00
Rostislav Vasilikhin	f3a03aefad	cvIsInf(double) fix + regression test	2023-01-17 23:06:39 +01:00
Maksim Shabunin	c1e5c16ff3	Backport C-API cleanup (imgproc) from 5.x	2023-01-16 23:29:50 +03:00
Yuantao Feng	c63d79c5b1	Merge pull request #23095 from fengyuentau:fix_omp_macos ... * fix openmp include and link issue on macos * turn off have_openmp if OpenMP_CXX_INCLUDE_DIRS is empty * test commit * use condition HAVE_OPENMP and OpenMP_CXX_LIBRARIES for linking * remove trailing whitespace * remove notes * update conditions * use OpenMP_CXX_LIBRARIES for linking	2023-01-16 12:44:13 +03:00
Alexander Alekhin	a9d02f096e	Merge pull request #23126 from cudawarped:fix_issue_3412	2023-01-13 13:08:27 +00:00
Ihsan Soydemir	6a7d54f550	Merge pull request #23128 from Isydmr:update-fastNlMeansDenoising-documentation ... Fix broken paper link for fastNlMeansDenoising * Fix broken link * Move citation to `opencv.bib` * Cite researchgate reference * Correct citation label * Use semantic scholar BibTex	2023-01-12 19:54:40 +03:00
Alexander Alekhin	3d5e3a910f	Merge pull request #23096 from zihaomu:issue_23074	2023-01-12 00:51:04 +00:00
Xxfore	ef0fcb9238	Merge pull request #22938 from Xxfore:4.x ... Use reinterpret instead of c-style casting for GCC Co-authored-by: Xu Zhang <xu.zhang@hexintek.com> Co-authored-by: Maksim Shabunin <maksim.shabunin@gmail.com>	2023-01-11 14:11:16 +00:00
cudawarped	b5bf756ca0	core: define cuda test size with row/col of 1	2023-01-11 14:52:46 +02:00
zihaomu	840b1d5c94	add depthwise add fuse	2023-01-11 08:42:51 +08:00
Alexander Alekhin	974102bc7f	Merge pull request #23120 from alalek:fixup_22246_2	2023-01-10 10:01:17 +00:00
Alexander Alekhin	5bacd8753b	build: eliminate GCC9 warning from sift.simd.hpp	2023-01-10 01:38:12 +00:00
Alexander Alekhin	65c2d6a2be	Merge pull request #23112 from zihaomu:fix_x86_winograd	2023-01-09 19:37:29 +00:00
Yang Chao	e0aa677388	Open CV_CPU_NEON_DOTPROD on Apple silicon devices	2023-01-09 19:27:35 +08:00
Alexander Alekhin	36815fe3f3	videoio(test): skip unstable Media.audio test	2023-01-09 10:06:10 +00:00
Christoph Rackwitz	a64b51dd94	Merge pull request #23108 from crackwitz:issue-23107 ... Usage of imread(): magic number 0, unchecked result * docs: rewrite 0/1 to IMREAD_GRAYSCALE/IMREAD_COLOR in imread() * samples, apps: rewrite 0/1 to IMREAD_GRAYSCALE/IMREAD_COLOR in imread() * tests: rewrite 0/1 to IMREAD_GRAYSCALE/IMREAD_COLOR in imread() * doc/py_tutorials: check imread() result	2023-01-09 09:55:31 +00:00
zihaomu	82616eec41	fix possible segmentation fault error in winograd on x86	2023-01-09 13:40:04 +08:00
inayd	54449b614b	Fix occuring artifacts in fillPoly	2023-01-03 16:29:13 +01:00
Alexander Alekhin	9208dcb07c	Merge tag '4.7.0'	2022-12-28 15:23:46 +00:00
Alexander Smorkalov	725e440d27	release: OpenCV 4.7.0	2022-12-28 17:31:52 +03:00
Alexander Panov	121034876d	Merge pull request #22986 from AleksandrPanov:move_contrib_charuco_to_main_objdetect ... merge with https://github.com/opencv/opencv_contrib/pull/3394 move Charuco API from contrib to main repo: - add CharucoDetector: ``` CharucoDetector::detectBoard(InputArray image, InputOutputArrayOfArrays markerCorners, InputOutputArray markerIds, OutputArray charucoCorners, OutputArray charucoIds) const // detect charucoCorners and/or markerCorners CharucoDetector::detectDiamonds(InputArray image, InputOutputArrayOfArrays _markerCorners, InputOutputArrayOfArrays _markerIds, OutputArrayOfArrays _diamondCorners, OutputArray _diamondIds) const ``` - add `matchImagePoints()` for `CharucoBoard` - remove contrib aruco dependencies from interactive-calibration tool - move almost all aruco tests to objdetect ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake	2022-12-28 17:28:59 +03:00
Alexander Alekhin	9627ab9462	Merge pull request #23050 from zihaomu:fix_memory	2022-12-28 10:04:25 +00:00
zihaomu	71765858dc	fix invalid memory access	2022-12-28 17:16:11 +08:00
Alexander Alekhin	9a2a34f94e	dnn(openvino): remove undefined status	2022-12-28 06:55:00 +00:00
Alexander Alekhin	38f7cd7173	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2022-12-27 08:58:28 +00:00
Alexander Alekhin	eab7faf536	Merge tag '3.4.19'	2022-12-27 08:41:49 +00:00
Alexander Alekhin	83391ac59d	release: OpenCV 3.4.19	2022-12-27 03:50:12 +00:00
Alexander Alekhin	a8a93a57e7	Merge pull request #23029 from savuor:backport3_fix_fisheye_aspect_ratio	2022-12-27 03:47:01 +00:00
Alexander Alekhin	f637629c5a	Merge pull request #23037 from cudawarped:fix_for_cuda_12	2022-12-27 03:43:59 +00:00
Rostislav Vasilikhin	93aa94e71e	backported changes ... no lambda whitespace fixing build Java tests	2022-12-27 00:54:39 +01:00
Alexander Alekhin	86b46a27cf	Merge pull request #23039 from alalek:cmake_3.5_fix	2022-12-26 20:31:39 +00:00
Alexander Alekhin	1bc3077890	cmake: VERSION_GREATER_EQUAL is not supported in CMake 3.5.1	2022-12-26 17:41:53 +00:00
Alexander Alekhin	fc27a343e9	Merge pull request #22905 from zihaomu:clean_up_conv3d_1d	2022-12-26 17:39:18 +00:00
cudawarped	692d6168b3	cuda: fix CUDA 12.0 build errors	2022-12-26 15:25:29 +02:00
Alexander Alekhin	de9787a6ac	Merge pull request #23036 from asmorkalov:as/blobdetect_range_fix	2022-12-26 12:47:45 +00:00
Alexander Smorkalov	b7292bc899	Fixed blob detector parameters range.	2022-12-26 15:02:24 +03:00
Alexander Alekhin	dbd4a0e5e6	videoio(ffmpeg): update tests with new Windows wrapper	2022-12-26 02:32:11 +00:00
Alexander Alekhin	b42c11de82	pre: OpenCV 4.7.0 (version++)	2022-12-25 17:00:22 +00:00
Alexander Alekhin	a494c75bfe	pre: OpenCV 3.4.19 (version++)	2022-12-25 16:59:47 +00:00
Alexander Alekhin	bc8c912c7a	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2022-12-24 13:54:58 +00:00
zihaomu	8e6aae0d7a	Add spaces to make links clickable.	2022-12-24 15:26:42 +08:00
Dmitry Kurtaev	8681686d8f	Merge pull request #22957 from dkurt:new_openvino_api ... Switch to new OpenVINO API after 2022.1 release * Pass Layer_Test_Convolution_DLDT.Accuracy/0 test * Pass test Test_Caffe_layers.Softmax * Failed 136 tests * Fix Concat. Failed 120 tests * Custom nGraph ops. 19 failed tests * Set and get properties from Core * Read model from buffer * Change MaxPooling layer output names. Restore reshape * Cosmetic changes * Cosmetic changes * Override getOutputsInfo * Fixes for OpenVINO < 2022.1 * Async inference for 2021.4 and less * Compile model with config * Fix serialize for 2022.1 * Asynchronous inference with 2022.1 * Handle 1d outputs * Work with model with dynamic output shape * Fixes with 1d output for old API * Control outputs by nGraph function for all OpenVINO versions * Refer inputs in PrePostProcessor by indices * Fix cycled dependency between InfEngineNgraphNode and InfEngineNgraphNet. Add InferRequest callback only for async inference. Do not capture InferRequest object. * Fix tests thresholds * Fix HETERO:GPU,CPU plugin issues with unsupported layer	2022-12-23 16:58:41 +00:00
Alexander Smorkalov	9012e6dd9b	Merge pull request #22965 from vrabaud:numpy_fix ... Remove references to deprecated NumPy type aliases.	2022-12-23 15:34:02 +03:00
Alexander Smorkalov	4930516652	Merge pull request #22898 from fengyuentau:slice_neg_steps ... dnn: support ONNX Slice with negative steps by adding and using cv::flipND	2022-12-23 14:15:06 +03:00
Vincent Rabaud	ad568edd7f	Remove references to deprecated NumPy type aliases. ... This change replaces references to a number of deprecated NumPy type aliases (np.bool, np.int, np.float, np.complex, np.object, np.str) with their recommended replacement (bool, int, float, complex, object, str). Those types were deprecated in 1.20 and are removed in 1.24, cf https://github.com/numpy/numpy/pull/22607.	2022-12-23 13:53:49 +03:00
Maxim Milashchenko	62b3a20da5	Merge pull request #22930 from MaximMilashchenko:gstreamer_support ... Support one-time audio video reading * stream switching functionality * audio+video pipeline with switch stream functionality * audio video sync * fixed sync * removed switch swtream functionality * changed test for gstreamer audio * fixed error * fixed error * fixed issue * fixed issue * fixed error * fixed error * fixed error	2022-12-23 10:15:22 +00:00
Alexander Alekhin	1f41d06f9a	Merge pull request #23008 from mshabunin:fix-yolov4-tiny-hash	2022-12-23 10:14:25 +00:00
Sergei Shutov	1339c7f30c	Define the number of dstChannels for Lab, Luv, YCrCb and XYZ conversions	2022-12-23 12:04:30 +02:00
Alexander Smorkalov	734fb18c4d	Merge pull request #23017 from asmorkalov:as/qrcode_valgrind ... Valgrind issues fix in QRCode detector.	2022-12-23 12:10:29 +03:00
zihaomu	71c6339af0	remove old convolution branch, and optimize conv3d and conv1d.	2022-12-23 16:50:28 +08:00
fengyuentau	34a0897f90	add cv::flipND; support onnx slice with negative steps via cv::flipND	2022-12-23 16:39:53 +08:00
Alexander Smorkalov	a32100d9ba	Valgrind issues fix in QRCode detector.	2022-12-23 10:50:31 +03:00
Alexander Alekhin	b5400902a7	Merge pull request #23002 from alalek:issue_22206 ... * obj-c: de-duplicate values of nested enums - prefix with outer class name * obj-c: handle enum names change in assigned values * obj-c: switch on 'const_fix' * obj-c: add NS_SWIFT_NAME	2022-12-22 14:01:21 +00:00
Maksim Shabunin	d35fbe6bfc	dnn: updated YOLOv4-tiny model and tests	2022-12-22 15:49:21 +03:00
Alexander Smorkalov	44dfe62af0	Merge pull request #22914 from tozanski:tomoz/ransac-bugfix ... Bugfix for solvePnPRansac with SOLVEPNP_ITERATIVE	2022-12-22 11:58:14 +03:00
Alexander Alekhin	4acb267cf4	Merge pull request #23014 from alalek:ffmpeg_default_threads	2022-12-22 07:57:24 +00:00
Alexander Alekhin	8676d19dc3	videoio(ffmpeg): limit number of default threads	2022-12-22 04:45:29 +00:00
Alexander Alekhin	6b4f3e5fab	Merge pull request #22993 from alalek:fixup_21738	2022-12-21 19:50:51 +00:00
Vincent Rabaud	b774753922	Fix self converTo. ... We still need images[i] = img because it is used below in buildPyramid.	2022-12-21 18:28:26 +01:00
Marco Feuerstein	bc8d494617	Merge pull request #22959 from feuerste:parallel_mertens ... Parallelize implementation of HDR MergeMertens. * Parallelize MergeMertens. * Added performance tests for HDR. * Ran clang-format. * Optimizations. * Fix data path for Windows. * Remove compiiation warning on Windows. * Remove clang-format for existing file. * Addressing reviewer comments. * Ensure correct summation order. * Add test for determinism. * Move result pyramid into sync struct. * Reuse sync for first loop as well. * Use OpenCV's threading primitives. * Remove cout.	2022-12-21 14:10:59 +00:00
Alexander Smorkalov	1ab259df9a	Merge pull request #23005 from alalek:objdetect_cleanup_aruco_ptr_filestorage ... aruco(cleanup): don't use Ptr<FileStorage>	2022-12-21 16:45:14 +03:00
augustinmanecy	0bd54a60e9	Merge pull request #20367 from augustinmanecy:features2d-rw ... **Merge with contrib**: https://github.com/opencv/opencv_contrib/pull/3003 ### 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 other license that is incompatible with OpenCV - [x] The PR is proposed to proper branch - [ ] There is reference to 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	2022-12-21 16:03:00 +03:00
Alexander Smorkalov	63b6b24cd0	Merge pull request #22967 from stopmosk:usac-maxiters-bugfix ... Fix maxIter parameter in usac findEssentialMat	2022-12-21 15:58:44 +03:00
Alexander Alekhin	c6a15e1835	aruco(cleanup): don't use Ptr<FileStorage>	2022-12-21 10:52:43 +00:00
Alexander Smorkalov	91ac790249	Merge pull request #23001 from alalek:videoio_init_vars ... videoio(v4l): initialize variables	2022-12-21 09:56:55 +03:00
Sergei Shutov	3cfe737581	Fix hardcoded maxIters	2022-12-21 09:51:59 +03:00
Yuantao Feng	a2b3acfc6e	dnn: add the CANN backend (#22634) ... * cann backend impl v1 * cann backend impl v2: use opencv parsers to build models for cann * adjust fc according to the new transA and transB * put cann net in cann backend node and reuse forwardLayer * use fork() to create a child process and compile cann model * remove legacy code * remove debug code * fall bcak to CPU backend if there is one layer not supoorted by CANN backend * fix netInput forward	2022-12-21 09:04:41 +03:00
Alexander Alekhin	f4b23de9dd	videoio(v4l): initialize variables	2022-12-21 03:28:09 +00:00
Alexander Alekhin	a08c98cdfb	Merge pull request #22995 from alalek:dnn_fix_opencl_matmul	2022-12-20 14:52:35 +00:00
Alexander Smorkalov	279e2be56b	Merge pull request #22963 from cudawarped:replace_texture_ref_with_texture_obj ... Replace all instances of CUDA texture references with texture objects	2022-12-20 15:07:10 +03:00
Alexander Alekhin	cdbb893b27	dnn: disable OpenCL code path in MatMul processing ... - this mode is not supported by 22828	2022-12-20 09:46:48 +00:00
Alexander Alekhin	3f7ec99166	build: eliminate build warnings on Ubuntu 20.04/16.04	2022-12-20 06:46:30 +00:00
Alexander Alekhin	1102b7eff8	dnn: fix gather layer implementation ... - support FP16 data	2022-12-20 06:09:34 +00:00
Alexander Alekhin	da43778c1f	Merge pull request #22981 from alalek:core_freeze_cache_dir_prefix_4.x	2022-12-19 17:29:57 +00:00
cudawarped	9aa5ab7557	cv::cuda: Replace all instances of texture references/objects with texture objects using the existing updated cv::cudev::Texture class. ... Fixes bugs in cv::cuda::demosaicing, cv::cuda::resize and cv::cuda::HoughSegmentDetector.	2022-12-19 19:28:15 +02:00
Vincent Rabaud	7463e9b8bb	Even faster CV_PAUSE on SkyLake and above. ... No need to loop as RDTSC is 3/4 times faster than _mm_pause.	2022-12-19 14:15:34 +01:00
Alexander Smorkalov	9f201a8ebe	Merge pull request #22979 from alalek:fix_videio_test_limit_threads ... videoio(test): reduce number of test threads	2022-12-19 10:01:43 +03:00
Alexander Alekhin	91998d6424	Merge pull request #22935 from alalek:gapi_error ... G-API: replace GAPI_Assert() with 'false' and '0' to GAPI_Error() * gapi: GAPI_Error() macro * gapi: replace GAPI_Assert() with 'false' and '0' to GAPI_Error() * build: eliminate 'unreachable code' after CV_Error() (MSVC 2015) * build: eliminate 'unreachable code' warning for MSVS 2015/2017 - observed in constructors stubs with throwing exception	2022-12-19 06:05:15 +00:00
Alexander Alekhin	420db56ffd	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	2022-12-18 02:17:17 +00:00
Alexander Alekhin	4824ce300f	core: freeze cache directory prefix - "4.x"	2022-12-18 00:24:52 +00:00
Alexander Alekhin	cdaf4c7321	videoio(test): reduce number of test threads	2022-12-18 00:02:07 +00:00
Alexander Alekhin	eace6adb6d	Merge pull request #22934 from alalek:fix_filestorage_binding	2022-12-17 03:28:13 +00:00
Alexander Panov	b4b35cff15	Merge pull request #22368 from AleksandrPanov:move_contrib_aruco_to_main_objdetect ... Megre together with https://github.com/opencv/opencv_contrib/pull/3325 1. Move aruco_detector, aruco_board, aruco_dictionary, aruco_utils to objdetect 1.1 add virtual Board::draw(), virtual ~Board() 1.2 move `testCharucoCornersCollinear` to Board classes (and rename to `checkCharucoCornersCollinear`) 1.3 add wrappers to keep the old api working 3. Reduce inludes 4. Fix java tests (add objdetect import) 5. Refactoring ### 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 ``` **WIP** force_builders=linux,win64,docs,Linux x64 Debug,Custom Xbuild_contrib:Docs=OFF build_image:Custom=ubuntu:22.04 build_worker:Custom=linux-1 ```	2022-12-16 12:28:47 +03:00
hzc	47fb79bd8c	Merge pull request #22936 from hzcyf:orbbec_new_cam_support ... videoio: add Orbbec Gemini 2 and Astra 2 camera support ### Test Result | OS | Compiler | Camera | Result | |-----|-----------|---------|--------| |Windows11| (VS2022)MSVC17.3|Orbbec Gemini 2|Pass| |Windows11| (VS2022)MSVC17.3|Orbbec Astra 2|Pass| |Ubuntu22.04|GCC9.2|Orbbec Gemini 2|Pass| |Ubuntu22.04|GCC9.2|Orbbec Astra 2|Pass| ### Pull Request Readiness Checklist - [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] The feature is well documented and sample code can be built with the project CMake	2022-12-16 12:23:12 +03:00
Alexander Alekhin	6e3700593f	compatibility: keep Ptr<FileStorage> stubs till OpenCV 5.0	2022-12-16 00:47:44 +00:00
Alexander Alekhin	6a8c5a1d27	python: resolve Ptr<FileStorage> requirement issue	2022-12-16 00:47:44 +00:00
Vincent Rabaud	b7b08fa0c3	Fix slower CV_PAUSE on SkyLake and above. ... This is fixing https://github.com/opencv/opencv/issues/22852	2022-12-15 14:18:57 +01:00
Alexander Smorkalov	ac6fb17784	Merge pull request #22828 from WanliZhong:improve_matmul ... DNN: make MatMul support 3D or 4D with broadcast	2022-12-15 13:36:22 +03:00
Alexander Smorkalov	3f22f4727c	Merge pull request #22919 from asmorkalov:as/gstreamer_read_timeout ... Address https://github.com/opencv/opencv/issues/22868 Used the same defaults as it's done for FFmpeg ### 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 ``` force_builders=Custom build_image:Custom=gstreamer:16.04 buildworker:Custom=linux-1 ```	2022-12-15 12:53:22 +03:00
Alexander Smorkalov	0153e796cc	Merge pull request #22891 from AleksandrPanov:qr_add_alignment ... Use QR code alignment markers	2022-12-15 09:39:58 +03:00
zoom	4891818114	make MatMul support 3D or 4D with broadcast	2022-12-15 10:36:08 +08:00
Alexander Alekhin	db4a557187	Merge pull request #22951 from zihaomu:update_nanotrack_comment	2022-12-14 21:21:49 +00:00
Alexander Alekhin	04c3a534af	Merge pull request #22958 from asmorkalov:as/ffmpeg_missing_include	2022-12-14 21:16:07 +00:00
AleksandrPanov	a32143003d	add alignment detect	2022-12-14 23:56:57 +03:00
Sergei Shutov	8bd17163c7	Merge pull request #22939 from stopmosk:21826-python-bindings-for-videocapturewaitany ... Add Python bindings for VideoCapture::waitAny #21826 ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake	2022-12-14 22:15:02 +03:00
Alexander Smorkalov	189e1b228d	Fix missing FFmpeg include needed for av_get_pix_fmt_name	2022-12-14 13:09:37 +03:00
Alexander Smorkalov	52709c7771	Merge pull request #22954 from VadimLevin:dev/vlevin/fix-merge-artifacts-in-python-misc-tests ... fix: remove function duplicates in test_misc.py	2022-12-14 09:42:43 +03:00
zihaomu	7dbb125a34	add nanotrack v2 at regression test.	2022-12-14 14:41:49 +08:00
Vadim Levin	3f5f09e730	fix: add _ suffix to properties having reserved keyword names	2022-12-13 20:56:39 +03:00
Vadim Levin	253a4c113e	fix: remove function duplicates in test_misc.py	2022-12-13 19:14:52 +03:00
Alexander Smorkalov	1788c93aea	Merge pull request #22924 from alalek:logger_strip_base_dir ... core(logger): strip opencv's modules base path	2022-12-13 15:28:10 +03:00
Alexander Alekhin	4203c903f8	Merge pull request #22928 from alalek:riscv_toolchains	2022-12-13 06:32:16 +00:00
Vadim Levin	727feda935	fix: AVFoundation inconsistent camera indices	2022-12-12 17:15:46 +03:00
Alexander Alekhin	39087fecdc	Merge pull request #22942 from alalek:videoio_test_update_hw_checks ... * videoio(test): update PSNR check for H264/265 * videoio(test): reduce size for ffmpeg tests on 32-bit platforms	2022-12-12 12:38:14 +00:00
Alexander Alekhin	c725771e11	build(riscv): suppress massive -Wignored-attributes warnings	2022-12-11 17:10:00 +00:00
Alexander Alekhin	be326ff752	build: fix/eliminate MSVC warnings	2022-12-10 12:19:31 +00:00
Alexander Smorkalov	423bc515e5	Integer underflow fix for morphologyEx in Carotene (arm).	2022-12-09 18:08:22 +03:00
Alexander Alekhin	941d89e06d	cmake: fix RISC-V toolchains ... - RVV options are moved to configuration scripts instead of toolchains	2022-12-09 12:02:28 +00:00
Alexander Alekhin	281b790618	Merge pull request #22922 from alalek:fix_riscv_intrin_rvv	2022-12-08 22:07:46 +00:00
Alexander Alekhin	93c4bca04d	Merge pull request #22933 from alalek:fixup_22894	2022-12-08 22:07:04 +00:00
Alexander Alekhin	24d7eb0ca5	videoio(test): test skip due to non-updated FFmpeg wrapper	2022-12-08 17:18:29 +00:00
Alexander Alekhin	8ba44e7d55	Merge pull request #22882 from zihaomu:gemm_first_const	2022-12-08 14:18:33 +00:00
Alexander Alekhin	49f539cb46	Merge pull request #22894 from mshabunin:ffmpeg-16bit	2022-12-08 14:12:51 +00:00
Zihao Mu	0a650b573b	Merge pull request #22840 from zihaomu:optimze_conv_memory_usage ... DNN: reduce the memory used in convolution layer * reduce the memory in winograd and disabel the test when usage memory is larger than 2gb. * remove VERY_LOG tag	2022-12-08 12:57:13 +00:00
Alexander Alekhin	7e3c53b9d3	core(logger): strip path prefix	2022-12-07 23:58:36 +00:00
Alexander Smorkalov	ab912329b6	Merge pull request #22885 from asmorkalov:as/new_qt_icons ... Switch QT UI to icons with Google Material Design	2022-12-07 14:25:31 +03:00
Maksim Shabunin	6ad216576d	videoio/FFmpeg: added CV_16UC1 read/write support	2022-12-07 12:12:31 +03:00
Alexander Alekhin	c5a4df30c6	risc-v: fix RVV backend on clang with undefined CV_RVV_SCALABLE ... - v_interleave_quads - v_pack_triplets - v_signmask	2022-12-06 13:49:05 +00:00
Zihao Mu	cb8f1dca3b	Merge pull request #22808 from zihaomu:nanotrack ... [teset data in opencv_extra](https://github.com/opencv/opencv_extra/pull/1016) NanoTrack is an extremely lightweight and fast object-tracking model. The total size is **1.1 MB**. And the FPS on M1 chip is **150**, on Raspberry Pi 4 is about **30**. (Float32 CPU only) With this model, many users can run object tracking on the edge device. The author of NanoTrack is @HonglinChu. The original repo is https://github.com/HonglinChu/NanoTrack. ### 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	2022-12-06 08:54:32 +03:00