opencv

Commit Graph

Author	SHA1	Message	Date
dkurt	b1ef44b1ac	Replace halide_opencl_device_interface	8 years ago
Aleksandr Rybnikov	8d6b8b45b6	Added ELU and test for it	8 years ago
Alexander Alekhin	321c0ec533	core: empty() for Rect/Size templates Check for empty objects via .area() is not a good practice due overflows	8 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`.	8 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.	8 years ago
Aleksandr Rybnikov	ce1cc352d9	MobileNet SSD sample	8 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.	8 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.	8 years ago
Alexander Alekhin	16fb74425e	ocl: fix program cache key	8 years ago
Alexander Alekhin	50b9a5afa9	ts(perf): initialize ThreadPool	8 years ago
Alexander Alekhin	cbced23de4	cmake: don't include protobuf on disabled DNN module	8 years ago
Alexander Alekhin	e58a778bd5	core(stat): disable IPP optimization in meanStdDev (cn > 1)	8 years ago
Tomoaki Teshima	1c49796e8e	guad for CUDA correctly	8 years ago
Alexander Alekhin	46f05f2db6	python: disable assertion in NumpyAllocator	8 years ago
Alexander Alekhin	15a6586062	python: stitching simple test	8 years ago
Suleyman TURKMEN	89480801b8	some improvements on tutorials	8 years ago
Alexander Alekhin	b46e741c95	core(alloc): drop unused code, use memalign() functions instead of hacks valgrind provides better detection without memory buffer hacks	8 years ago
Alexander Alekhin	d35422b523	core(tls): hide assertions from Thread Sanitizer	8 years ago
Alexander Alekhin	68ef903a7c	core(tls): don't use tlsSlots without synchronization	8 years ago
Alexander Alekhin	12213f9985	flann: fix out of buffer access	8 years ago
Alexander Alekhin	caa5e3b4c5	imgproc: fix vectorized code of accumulate	8 years ago
Alexander Alekhin	2e17251160	calib3d: fix invalid memory access	8 years ago
Alexander Alekhin	3f102e5d3a	dnn: protobuf shutdown	8 years ago
Alexander Alekhin	aad6d28e13	ts: don't run large videoio test (valgrind)	8 years ago
Alexander Alekhin	1650c664bc	ts: don't run imgcodecs tests on large images (valgrind)	8 years ago
Alexander Alekhin	d17b099994	ts: don't run DNN tests with large models (valgrind)	8 years ago
Alexander Alekhin	bf0173bf38	ts: update valgrind suppressions	8 years ago
dkurt	583b327523	Fix JSON booleans without quotes	8 years ago
LaurentBerger	69fd57bc96	update tutorial link for dnn	8 years ago
dkurt	3515f6ec33	Missed NAMED bit of JSON nodes tag	8 years ago
Alexander Alekhin	602f047fe8	build: replace WIN32 => _WIN32	8 years ago
Alexander Alekhin	7f3eea6325	core: fix Mat/UMat cleanup on exceptions in deallocate()	8 years ago
Alexander Alekhin	878a6906cc	dnn: fix torch importer memory leaks	8 years ago
Pavel Rojtberg	94fdd45b75	calib3d: rewrite reprojectImageTo3D using Matx expressions about the same speed, but significatly more readable	8 years ago
dkurt	70ff3804e9	Fix SqueezeNet Halide performance test	8 years ago
Alexander Alekhin	e45d5446f2	cleanup unused 3rdparty files	8 years ago
Tomoaki Teshima	0f91faddae	fix linker error when trying CPU_BASELINE=AVX	8 years ago
Alexander Alekhin	544eb4be1f	IPP: update minMaxIdx, disable some AVX optimizations with mask	8 years ago
Alexander Alekhin	d9e092325b	test: regression test for IPP minMaxIdx problem	8 years ago
Alexander Alekhin	ec7ce81401	core: fix FileStorage format detection in case of .gz archives	8 years ago
Alexander Alekhin	5bc291937f	test: FileStorage format regression test	8 years ago
Tomoaki Teshima	71496e3be4	fix build error on Visual Studio 2012	8 years ago
Tomoaki Teshima	e63d628677	remove some rand functions * make test more reproducible	8 years ago
Alexander Alekhin	ad183481c0	perf: skip stitching OpenCL test on Win32 platform	8 years ago
Alexander Alekhin	08c94aa5c0	build: reuse int32_t workaround from softfloat.hpp	8 years ago
Tomoaki Teshima	1989bc33a7	fix build error on Visual Studio 2012	8 years ago
Tomoaki Teshima	46bee83005	fix the test fail on Calib3d_SolvePnP.accuracy * move array size to enum * move array size to member variable * loosen the eps of SOLVEPNP_P3P * loosen the eps in Calib3d_SolveP3P.accuracy	8 years ago
Alexander Alekhin	2360291c3e	java: update source files processing, maven stuff	8 years ago
Alexander Alekhin	e8357c0544	build: added DEBUG build guard To prevent linkage of binary incompatible DEBUG/RELEASE binaries/runtimes	8 years ago
Aleksandr Rybnikov	7d1140340e	Rewrote googlenet tests	8 years ago

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15847 Commits (69103a9fab13d81c41f37806a37ff56c37dae204)