opencv

Commit Graph

Author	SHA1	Message	Date
Alexander Alekhin	48073e6d95	pylint: eliminate warnings	5 years ago
Alexander Alekhin	657c17bb8c	cmake: fix ITT define condition	5 years ago
Alexander Alekhin	cec7cc037b	Merge pull request #15819 from alalek:ts_unblock_reporting_of_disabled_tests	5 years ago
Alexander Alekhin	5c12bafe80	Merge pull request #15805 from i-murzov:3.4	5 years ago
Ciprian Alexandru Pitis	d2e02779c4	Merge pull request #15799 from Cpitis:feature/parallelization Parallelize pyrDown & calcSharrDeriv * ::pyrDown has been parallelized * CalcSharrDeriv parallelized * Fixed whitespace * Set granularity based on amount of threads enabled * Granularity changed to cv::getNumThreads, now each thread should receive 1/n sized stripes * imgproc: move PyrDownInvoker<CastOp>::operator() implementation * imgproc(pyramid): remove syloopboundary() * video: SharrDerivInvoker replace 'Mat*' => 'Mat&' fields	5 years ago
CJ Smith	c2f2ea6b85	Merge pull request #15789 from CJSmith-0141:15779-scale-bug-in-stereo-match-sample * Changes disparity image to float representation Signed-off-by: Connor James Smith <cjs.connor.smith@gmail.com> * samples: update disparity multiplier handling in stereo_match.cpp	5 years ago
Oleg Alexandrov	af433d0352	Merge pull request #15780 from oleg-alexandrov:master * Doc bugfix The documentation page StereoBinaryBM and StereoBinarySGBM says that it returns a disparity that is scaled multiplied by 16. This scaling must be undone before calling reprojectImageTo3D, otherwise the results are wrong. The function reprojectImageTo3D() could do this scaling internally, maybe, but at least the documentation must explain that this has to be done. * calib3d: update reprojectImageTo3D documentation * calib3d: add StereoBM/StereoSGBM into notes list	5 years ago
Alexander Alekhin	ee044771a7	Merge pull request #15478 from terfendail:wintr_stereosgbm	5 years ago
Dizhenin Vlad	edc5518f68	Merge pull request #15608 from SimpleVlad:3.4 * Add flags for build js * Add poi.json * Rebase whitelist into JSON file * Rework generator of white_list * Fix small typos * Transfer opencv_js.josn in opencv_js.config.py * Edit OPENCV_JS_WHITELIST * Write comment * Add description * Fix typos in desc * flag's append deleeted * Fix whitespace * variable deleted * fix comment on lines 229 and 235	5 years ago
Alexander Alekhin	79f792ad05	ts: do not block reporting of launched "DISABLED_" tests If tests are run through GTest option `--gtest_also_run_disabled_tests`	5 years ago
Alexander Alekhin	469addeca3	Merge pull request #15763 from akhakim:dynamic_set_kernel_window_size	5 years ago
Anna Khakimova	c394847c35	GAPI Fluid: Dynamic window size	5 years ago
atalaman	ea64bb58a5	Merge pull request #15751 from TolyaTalamanov:at/refactor-render-tests * Refactor render tests * Fix comment to review * Move ocv render tests stuff to specific file * Add OCV prefix for render tests * Fix comments to review	5 years ago
Igor Murzov	a9d23a6479	Fix wording in some tutorials	5 years ago
Alexander Alekhin	ea5499fa51	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	5 years ago
Alexander Alekhin	bad4e5c3eb	Merge pull request #15692 from alalek:core_tls_handle_thread_termination	5 years ago
Alexander Alekhin	e86c888a92	Merge pull request #15791 from alalek:android_camera2_issue_14915	5 years ago
Chip Kerchner	a71ff50130	Merge pull request #15623 from ChipKerchner:optimizeHOGpipeline * Use circular lut hustory buffer in computeGradient of HOG * Initialize prefetch data outside main loop. Avoid code duplication.	5 years ago
Alexander Alekhin	278b4ca40c	Merge pull request #15800 from alalek:issue_15796	5 years ago
Alexander Alekhin	cd6d79d106	gapi: fix opencv_world build	5 years ago
Alexander Alekhin	80c4cedd25	android: use .getRowStride() in JavaCamera2View	5 years ago
Alexander Alekhin	02f4d6ca53	Merge pull request #15777 from dbudniko:dbudniko/add_own_empty	5 years ago
Alexander Alekhin	732657cc46	Merge pull request #15793 from Cherubin7th:3.4	5 years ago
André Lippok	86a8ff6129	Fixed typo in assertion	5 years ago
Alexander Alekhin	d8ab83600b	Merge pull request #15761 from alalek:core_trace_itt_parameter	5 years ago
Alexander Alekhin	6ec5ae0215	core(trace): add ITT control parameter - OPENCV_TRACE_ITT_ENABLE	5 years ago
Dmitry Budnikov	8dfba51884	add empty implementation	5 years ago
Alexander Alekhin	7cf1054d36	Merge pull request #15764 from ChipKerchner:demosaicingToHal	5 years ago
Vitaly Tuzov	42b1d04999	StereoSGBM algorithm updated to use wide universal intrinsics	5 years ago
Alexander Alekhin	055ffc0425	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	5 years ago
Alexander Alekhin	eabe679f78	Merge pull request #15770 from terfendail:stereobm_fix	5 years ago
Vitaly Tuzov	1ce5a724c7	Fixed StereoBM uniqueness check	5 years ago
Alexander Alekhin	d65fead337	Merge pull request #15752 from dkurt:fix_15750	5 years ago
Alexander Alekhin	17e2bf5717	core(tls): implement releasing of TLS on thread termination - move TLS & instrumentation code out of core/utility.hpp - () TLSData lost .gather() method (to dispose thread data on thread termination) - use TLSDataAccumulator for reliable collecting of thread data - prefer using of .detachData() + .cleanupDetachedData() instead of .gather() method () API is broken: replace TLSData => TLSDataAccumulator if gather required (objects disposal on threads termination is not available in accumulator mode)	5 years ago
Alexander Alekhin	87a692b89e	Merge pull request #15736 from akhakim:fix_for_ADE-859_using_namespace_cv_G_TYPED_KERNEL_fail_c++	5 years ago
Alexander Alekhin	5e8d8df847	Merge pull request #15754 from float13:patch-1	5 years ago
ChipKerchner	c46f119e0e	Convert demosaic functions to HAL	5 years ago
Alexander Alekhin	09619c1c45	Merge pull request #15762 from rgarnov:return_exported_mkdatanode	5 years ago
float13	1accf3b3f4	Tutorial - Make required input args positional. I think it would help to change all 3 of the the input file arguments to be "positional" for consistency with the other tutorials. This also simplifies the command line input to run this tutorial by reducing typing, and helpfully prints the "usage" info if any of the 3 required inputs are missing. I'm new to OpenCV and working through the tutorials. I kept getting runtime errors with this one until I realized that the arguments weren't positional, and I was missing the "--input1", "--input2, "--input3" flags preceding the filenames. All of the previous tutorials had required filenames as positional arguments and didn't require this. The original code would require each input to be specified like this: ./compareHist_Demo --input1 filename1 --input2 filename2 --input3 filename3 But with this change, the above command is simplified to: ./compareHist_Demo filename1 filename2 filename3 This avoids a confusing runtime error to make things simpler for newcomers like me :)	5 years ago
Anna Khakimova	8bf5bed0a9	GAPI:Fix for using cv makes G_TYPED_KERNEL fail	5 years ago
Alexander Alekhin	5ffeebabad	Merge pull request #15759 from alalek:issue_15758	5 years ago
Ruslan Garnov	e89c1103ff	Returned GModel::mkDataNode() overload for external backends	5 years ago
Chip Kerchner	5a6a49405d	Merge pull request #15738 from ChipKerchner:bugInt64x2Comparison Fixing bug with comparison of v_int64x2 or v_uint64x2 * Casting v_uint64x2 to v_float64x2 and comparing does NOT work in all cases. Rewrite using epi64 instructions - faster too. * Fix bad merge. * Fix equal comparsion for non-SSE4.1. Add test cases for v_int64x2 comparisons. * Try to fix merge conflict. * Only test v_int64x2 comparisons if CV_SIMD_64F * Fix compiler warning.	5 years ago
Alexander Alekhin	fe4f27b99b	gapi: fix build - gcc 4.8.4 (ARMv7)	5 years ago
Alexander Alekhin	1864b64f64	Merge pull request #15739 from dkurt:darknet_shortcut_asymm	5 years ago
Alexander Alekhin	4bd2ad30c4	Merge pull request #15756 from dankamongmen:dankamongmen/stitching_surf_default	5 years ago
nick black	6e9eca29e2	stitching_detailed: use correct match_conf default The usage function states that the default for match_conf is 0.65 if the default SURF feature finder is used, and 0.3 for orbs. Indeed, if --feature orbs is used, match_conf is set to 0.3f. This is a NOP, because the real default is also set to 0.3f. Change it to 0.65f when SURF is in play.	5 years ago
anton-potapov	471b40040a	Merge pull request #15735 from anton-potapov:gapi_async_documentaion * G-API: Doxygen documentatation for Async API * G-API: Doxygen documentatation for Async API - renamed local variable (reading parameter async) async -> asyncNumReq in object_detection DNN sample to avoid Doxygen erroneous linking the sample to cv::gapi::wip::async documentation	5 years ago
Dmitry Kurtaev	dfe0368835	Fix custom IE layers in case of no MKLDNN plugin	5 years ago
Yashas Samaga B L	613c12e590	Merge pull request #14827 from YashasSamaga:cuda4dnn-csl-low CUDA backend for the DNN module * stub cuda4dnn design * minor fixes for tests and doxygen * add csl public api directory to module headers * add low-level CSL components * add high-level CSL components * integrate csl::Tensor into backbone code * switch to CPU iff unsupported; otherwise, fail on error * add fully connected layer * add softmax layer * add activation layers * support arbitary rank TensorDescriptor * pass input wrappers to `initCUDA()` * add 1d/2d/3d-convolution * add pooling layer * reorganize and refactor code * fixes for gcc, clang and doxygen; remove cxx14/17 code * add blank_layer * add LRN layer * add rounding modes for pooling layer * split tensor.hpp into tensor.hpp and tensor_ops.hpp * add concat layer * add scale layer * add batch normalization layer * split math.cu into activations.cu and math.hpp * add eltwise layer * add flatten layer * add tensor transform api * add asymmetric padding support for convolution layer * add reshape layer * fix rebase issues * add permute layer * add padding support for concat layer * refactor and reorganize code * add normalize layer * optimize bias addition in scale layer * add prior box layer * fix and optimize normalize layer * add asymmetric padding support for pooling layer * add event API * improve pooling performance for some padding scenarios * avoid over-allocation of compute resources to kernels * improve prior box performance * enable layer fusion * add const layer * add resize layer * add slice layer * add padding layer * add deconvolution layer * fix channelwise ReLU initialization * add vector traits * add vectorized versions of relu, clipped_relu, power * add vectorized concat kernels * improve concat_with_offsets performance * vectorize scale and bias kernels * add support for multi-billion element tensors * vectorize prior box kernels * fix address alignment check * improve bias addition performance of conv/deconv/fc layers * restructure code for supporting multiple targets * add DNN_TARGET_CUDA_FP64 * add DNN_TARGET_FP16 * improve vectorization * add region layer * improve tensor API, add dynamic ranks 1. use ManagedPtr instead of a Tensor in backend wrapper 2. add new methods to tensor classes - size_range: computes the combined size of for a given axis range - tensor span/view can be constructed from a raw pointer and shape 3. the tensor classes can change their rank at runtime (previously rank was fixed at compile-time) 4. remove device code from tensor classes (as they are unused) 5. enforce strict conditions on tensor class APIs to improve debugging ability * fix parametric relu activation * add squeeze/unsqueeze tensor API * add reorg layer * optimize permute and enable 2d permute * enable 1d and 2d slice * add split layer * add shuffle channel layer * allow tensors of different ranks in reshape primitive * patch SliceOp to allow Crop Layer * allow extra shape inputs in reshape layer * use `std::move_backward` instead of `std::move` for insert in resizable_static_array * improve workspace management * add spatial LRN * add nms (cpu) to region layer * add max pooling with argmax ( and a fix to limits.hpp) * add max unpooling layer * rename DNN_TARGET_CUDA_FP32 to DNN_TARGET_CUDA * update supportBackend to be more rigorous * remove stray include from preventing non-cuda build * include op_cuda.hpp outside condition #if * refactoring, fixes and many optimizations * drop DNN_TARGET_CUDA_FP64 * fix gcc errors * increase max. tensor rank limit to six * add Interp layer * drop custom layers; use BackendNode * vectorize activation kernels * fixes for gcc * remove wrong assertion * fix broken assertion in unpooling primitive * fix build errors in non-CUDA build * completely remove workspace from public API * fix permute layer * enable accuracy and perf. tests for DNN_TARGET_CUDA * add asynchronous forward * vectorize eltwise ops * vectorize fill kernel * fixes for gcc * remove CSL headers from public API * remove csl header source group from cmake * update min. cudnn version in cmake * add numerically stable FP32 log1pexp * refactor code * add FP16 specialization to cudnn based tensor addition * vectorize scale1 and bias1 + minor refactoring * fix doxygen build * fix invalid alignment assertion * clear backend wrappers before allocateLayers * ignore memory lock failures * do not allocate internal blobs * integrate NVTX * add numerically stable half precision log1pexp * fix indentation, following coding style, improve docs * remove accidental modification of IE code * Revert "add asynchronous forward" This reverts commit 1154b9da9da07e9b52f8a81bdcea48cf31c56f70. * [cmake] throw error for unsupported CC versions * fix rebase issues * add more docs, refactor code, fix bugs * minor refactoring and fixes * resolve warnings/errors from clang * remove haveCUDA() checks from supportBackend() * remove NVTX integration * changes based on review comments * avoid exception when no CUDA device is present * add color code for CUDA in Net::dump	5 years ago

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