opencv

Commit Graph

Author	SHA1	Message	Date
Ryan Pavlik	5d699e9ba5	Honor fixing principal point in camera calib tutorial.	7 years ago
Alexander Alekhin	321c0ec533	core: empty() for Rect/Size templates Check for empty objects via .area() is not a good practice due overflows	7 years ago
Alexander Alekhin	4ad45af53f	Merge pull request #9253 from jbms:fix/image-decoding-tempfile	7 years ago
Alexander Alekhin	37a7e08b38	Merge pull request #9097 from piotr-semenov:fix/cv_rect_monoid_identity	7 years ago
Alexander Alekhin	bab4bc0968	Merge pull request #9284 from ipuustin:dnn-opencl-fixes	7 years ago
Alexander Alekhin	f6c4901b8f	Merge pull request #9279 from alalek:ocl_fix_program_cache	7 years ago
Jiri Horner	bb6496d9e5	Merge pull request #8951 from hrnr:akaze_part2 [GSOC] Speeding-up AKAZE, part #2 (#8951) * feature2d: instrument more functions used in AKAZE * rework Compute_Determinant_Hessian_Response * this takes 84% of time of Feature_Detection * run everything in parallel * compute Scharr kernels just once * compute sigma more efficiently * allocate all matrices in evolution without zeroing * features2d: add one bigger image to tests * now test have images: 600x768, 900x600 and 1385x700 to cover different resolutions * explicitly zero Lx and Ly * add Lflow and Lstep to evolution as in original AKAZE code * reworked computing keypoints orientation integrated faster function from https://github.com/h2suzuki/fast_akaze * use standard fastAtan2 instead of getAngle * compute keypoints orientation in parallel * fix visual studio warnings * replace some wrapped functions with direct calls to OpenCV functions * improved readability for people familiar with opencv * do not same image twice in base level * rework diffusity stencil * use one pass stencil for diffusity from https://github.com/h2suzuki/fast_akaze * improve locality in Create_Scale_Space * always compute determinat od hessian and spacial derivatives * this needs to be computed always as we need derivatives while computing descriptors * fixed tests of AKAZE with KAZE descriptors which have been affected by this Currently it computes all first and second order derivatives together and the determiant of the hessian. For descriptors it would be enough to compute just first order derivates, but it is not probably worth it optimize for scenario where descriptors and keypoints are computed separately, since it is already very inefficient. When computing keypoint and descriptors together it is faster to do it the current way (preserves locality). * parallelize non linear diffusion computation * do multiplication right in the nlp diffusity kernel * rework kfactor computation * get rid of sharing buffers when creating scale space pyramid, the performace impact is neglegible * features2d: initialize TBB scheduler in perf tests * ensures more stable output * more reasonable profiles, since the first call of parallel_for_ is not getting big performace hit * compute_kfactor: interleave finding of maximum and computing distance * no need to go twice through the data * start to use UMats in AKAZE to leverage OpenCl in the future * fixed bug that prevented computing determinant for scale pyramid of size 1 (just the base image) * all descriptors now support writing to uninitialized memory * use InputArray and OutputArray for input image and descriptors, allows to make use UMAt that user passes to us * enable use of all existing ocl paths in AKAZE * all parts that uses ocl-enabled functions should use ocl by now * imgproc: fix dispatching of IPP version when OCL is disabled * when OCL is disabled IPP version should be always prefered (even when the dst is UMat) * get rid of copy in DeterminantHessian response * this slows CPU version considerably * do no run in parallel when running with OCL * store derivations as UMat in pyramid * enables OCL path computing of determint hessian * will allow to compute descriptors on GPU in the future * port diffusivity to OCL * diffusivity itself is not a blocker, but this saves us downloading and uploading derivations * implement kernel for nonlinear scalar diffusion step * download the pyramid from GPU just once we don't want to downlaod matrices ad hoc from gpu when the function in AKAZE needs it. There is a HUGE mapping overhead and without shared memory support a LOT of unnecessary transfers. This maps/downloads matrices just once. * fix bug with uninitialized values in non linear diffusion * this was causing spurious segfaults in stitching tests due to propagation of NaNs * added new test, which checks for NaNs (added new debug asserts for NaNs) * valgrind now says everything is ok * add nonlinear diffusion step OCL implementation * Lt in pyramid changed to UMat, it will be downlaoded from GPU along with Lx, Ly * fix bug in pm_g2 kernel. OpenCV mangles dimensions passed to OpenCL, so we need to check for boundaries in each OCL kernel. * port computing of determinant to OCL * computing of determinant is not a blocker, but with this change we don't need to download all spatial derivatives to CPU, we only download determinant * make Ldet in the pyramid UMat, download it from CPU together with the other parts of the pyramid * add profiling macros * fix visual studio warning * instrument non_linear_diffusion * remove changes I have made to TEvolution * TEvolution is used only in KAZE now * Revert "features2d: initialize TBB scheduler in perf tests" This reverts commit `ba81e2a711`.	7 years ago
Ismo Puustinen	c2de5cf735	dnn: force floating point literals to be float. In OpenCL code in activations.cl, make the type of floating point literals to be float. Otherwise the values will be interpreted as doubles, causing Beignet to have type conversion issues.	7 years ago
Alexander Alekhin	2959e7aba9	Merge pull request #9188 from arrybn:mobilenet_ssd_sample	7 years ago
Aleksandr Rybnikov	ce1cc352d9	MobileNet SSD sample	7 years ago
Jeremy Maitin-Shepard	350d483a70	grfmt_tiff: support in-memory TIFF encoding and decoding Previously, only file-based encoding and decoding were supported with the libtiff library, leading to the possible use of temporary files. This fixes issue #8483.	7 years ago
Alexander Alekhin	d34eec3ab3	Merge pull request #9278 from alalek:ts_perf_threads	7 years ago
Jeremy Maitin-Shepard	2be955a0ef	loadsave: check for errors when using temp file Previously, the return value of fwrite and fclose were not properly checked, leading to possible silent truncation of the data if writing failed, e.g. due to lack of disk space. Fixes issue #9251.	7 years ago
Alexander Alekhin	830bff1241	fix OpenCV GitHub repository URL	7 years ago
Alexander Alekhin	16fb74425e	ocl: fix program cache key	7 years ago
Alexander Alekhin	3786d30320	Merge pull request #9225 from paroj:reproject_cpp	7 years ago
Alexander Alekhin	adb62403ec	Merge pull request #9276 from mshabunin:bump-dnn-docs	7 years ago
Alexander Alekhin	50b9a5afa9	ts(perf): initialize ThreadPool	7 years ago
Alexander Alekhin	230f22b1cd	Merge pull request #9271 from berak:patch-2	7 years ago
Alexander Alekhin	06a9c16961	Merge pull request #9275 from alalek:cmake_protobuf_optional	7 years ago
Alexander Alekhin	d22506092e	Merge pull request #9274 from alalek:ipp_meanstddev	7 years ago
Alexander Alekhin	728bd68977	Merge pull request #9272 from tomoaki0705:fixCudaBuild	7 years ago
Alexander Alekhin	65519ab786	Merge pull request #9265 from alalek:python_stitching	7 years ago
Maksim Shabunin	886b1f39d9	Moved dnn module documentation and tutorials links higher in the lists	7 years ago
Alexander Alekhin	cbced23de4	cmake: don't include protobuf on disabled DNN module	7 years ago
Alexander Alekhin	e58a778bd5	core(stat): disable IPP optimization in meanStdDev (cn > 1)	7 years ago
Tomoaki Teshima	1c49796e8e	guad for CUDA correctly	7 years ago
berak	6b0661cca1	Update README.android	7 years ago
Alexander Alekhin	46f05f2db6	python: disable assertion in NumpyAllocator	7 years ago
Alexander Alekhin	15a6586062	python: stitching simple test	7 years ago
Alexander Alekhin	bdb6b45c91	Merge pull request #9259 from eyolfson:patch-1	7 years ago
Alexander Alekhin	1170d74868	Merge pull request #9261 from puqeko:patch-2	7 years ago
Alexander Alekhin	6ae5a9f07a	Merge pull request #9255 from marting87:marting87/gpu_samples_usage_msg	7 years ago
Alexander Alekhin	cc1a95d161	Merge pull request #9254 from jtkb:feature/maven_package_update	7 years ago
Alexander Alekhin	fffd0f5b68	Merge pull request #9241 from alalek:tlsSlotsSize	7 years ago
Suleyman TURKMEN	89480801b8	some improvements on tutorials	7 years ago
puqeko	9deb206e74	Add tested codecs for OSX	7 years ago
Jon Eyolfson	27cf941284	Remove unused method declarations in hog.cpp The class `App` appears to have two unused methods: `message` and `checkRectSimilarity`. The is no definition or use of either of these methods. This appears to be dead code.	7 years ago
Kerry Billingham	04cd09a30a	Updated package dependency list & package check script.	7 years ago
Martin Ganeff	3ea889050b	Removed _gpu-suffix from usage messages to align with executable name	7 years ago
Alexander Alekhin	b46e741c95	core(alloc): drop unused code, use memalign() functions instead of hacks valgrind provides better detection without memory buffer hacks	7 years ago
Alexander Alekhin	34f9c039c5	Merge pull request #9238 from alalek:valgrind_fixes	7 years ago
Alexander Alekhin	d35422b523	core(tls): hide assertions from Thread Sanitizer	7 years ago
Bragadeesh	d61f5d160d	A simple spelling change.	7 years ago
Alexander Alekhin	68ef903a7c	core(tls): don't use tlsSlots without synchronization	7 years ago
Alexander Alekhin	06407b4d14	Merge pull request #9233 from LaurentBerger:dnndoc	7 years ago
Alexander Alekhin	12213f9985	flann: fix out of buffer access	7 years ago
Alexander Alekhin	caa5e3b4c5	imgproc: fix vectorized code of accumulate	7 years ago
Alexander Alekhin	2e17251160	calib3d: fix invalid memory access	7 years ago
Alexander Alekhin	3f102e5d3a	dnn: protobuf shutdown	7 years ago

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22065 Commits (169add5aa6264d66190cdedab5620fb965fbfdd0) All Branches Search

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