opencv

Commit Graph

Author	SHA1	Message	Date
Dmitry Kurtaev	54f0616a13	Deconvolution layer from TensorFlow	7 years ago
Dmitry Kurtaev	4e28c00e7b	Fix Halide buffer behavior in case of OpenCL device memory allocation	7 years ago
dkurt	339793143c	Unit tests for TensorFlow importer	7 years ago
dkurt	b1ef44b1ac	Replace halide_opencl_device_interface	7 years ago
Aleksandr Rybnikov	8d6b8b45b6	Added ELU and test for it	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
Aleksandr Rybnikov	ce1cc352d9	MobileNet SSD sample	7 years ago
Alexander Alekhin	cbced23de4	cmake: don't include protobuf on disabled DNN module	7 years ago
Alexander Alekhin	3f102e5d3a	dnn: protobuf shutdown	7 years ago
LaurentBerger	69fd57bc96	update tutorial link for dnn	7 years ago
Alexander Alekhin	878a6906cc	dnn: fix torch importer memory leaks	7 years ago
dkurt	70ff3804e9	Fix SqueezeNet Halide performance test	7 years ago
Tomoaki Teshima	0f91faddae	fix linker error when trying CPU_BASELINE=AVX	7 years ago
Tomoaki Teshima	e63d628677	remove some rand functions * make test more reproducible	7 years ago
Alexander Alekhin	08c94aa5c0	build: reuse int32_t workaround from softfloat.hpp	7 years ago
Tomoaki Teshima	1989bc33a7	fix build error on Visual Studio 2012	7 years ago
Aleksandr Rybnikov	7d1140340e	Rewrote googlenet tests	7 years ago
Vadim Pisarevsky	0488d9bdb2	optimize out scaleLayer & concatLayer whenever possible fixed problem in concat layer by disabling memory re-use in layers with multiple inputs trying to fix the tests when Halide is used to run deep nets another attempt to fix Halide tests see if the Halide tests will pass with concat layer fusion turned off trying to fix failures in halide tests; another try one more experiment to make halide_concat & halide_enet tests pass continue attempts to fix halide tests moving on uncomment parallel concat layer seemingly fixed failures in Halide tests and re-enabled concat layer fusion; thanks to dkurt for the patch	7 years ago
Alexander Alekhin	4784c7be5f	dnn: cleanup dispatched code, fix SIMD128 types	8 years ago
Alexander Alekhin	c3e6de293f	dnn: code cleanup, refactor detection output layer	8 years ago
Alexander Alekhin	544908d06c	dnn: some minor fixes in docs, indentation, unused code	8 years ago
dkurt	3203635765	Eltwise layer fixes	8 years ago
Vadim Pisarevsky	ed9564106c	reuse AVX2-optimized kernels for AVX1 CPUs (like IvyBridge)	8 years ago
Aleksandr Rybnikov	d3c14ce3ea	Added tests for ResNet-50 and SqueezeNet v1.1	8 years ago
Alexander Alekhin	32d1eb36df	dnn: fix links	8 years ago
berak	34c0ab5878	dnn: fix some tutorial links	8 years ago
abratchik	8f7181429f	add java wrappers to dnn module	8 years ago
Alexander Alekhin	6ea6e4bceb	binding: fix headers processing	8 years ago
Maksim Shabunin	e0393f8557	Fixed some issues found by static analysis (4th round)	8 years ago
Aleksandr Rybnikov	fab4f4b9d5	Disabled logging in caffe parser in release	8 years ago
Alexander Alekhin	72a765d766	dnn: fix compilation of Halide tests	8 years ago
Alexander Alekhin	511e50c19c	dnn: cleanup torch integration code	8 years ago
Alexander Alekhin	da0960321b	dnn: added "hidden" experimental namespace Main purpose of this namespace is to avoid using of incompatible binaries that will cause applications crashes. This additional namespace will not impact "Source code API". This change allows to maintain ABI checks (with easy filtering out).	8 years ago
Maksim Shabunin	a769d69a9d	Fixed several issues found by static analysis	8 years ago
dkurt	b46f5b1b38	Align convolutional layer weights separately from origin ones	8 years ago
Alexander Alekhin	ed10383359	dnn: added trace macros	8 years ago
Aleksandr Rybnikov	ec321e651f	Removed usage of std::map in DetectionOutput layer	8 years ago
Vadim Pisarevsky	8b3d6603d5	another round of dnn optimization (#9011 ) * another round of dnn optimization: * increased malloc alignment across OpenCV from 16 to 64 bytes to make it AVX2 and even AVX-512 friendly * improved SIMD optimization of pooling layer, optimized average pooling * cleaned up convolution layer implementation * made activation layer "attacheable" to all other layers, including fully connected and addition layer. * fixed bug in the fusion algorithm: "LayerData::consumers" should not be cleared, because it desctibes the topology. * greatly optimized permutation layer, which improved SSD performance * parallelized element-wise binary/ternary/... ops (sum, prod, max) * also, added missing copyrights to many of the layer implementation files * temporarily disabled (again) the check for intermediate blobs consistency; fixed warnings from various builders	8 years ago
Alexander Alekhin	00dd433368	dnn: fix LayerFactory initialization	8 years ago
Alexander Alekhin	f8a75c4361	dispatch: added CV_TRY_${OPT} macro, fix dnn build - 1: OPT is available directly or via dispatcher - 0: optimization is not compiled at all	8 years ago
dkurt	121789f78e	Fixed some bugs from Halide tests	8 years ago
Alexander Alekhin	16d1bbf2ea	dnn: fix build - winpack - opencv_world	8 years ago
Alexander Alekhin	986d27e49c	dnn: fix failed Torch tests "Torch invalid argument 2: position must be smaller than LLONG_MAX" These conditions are always true for "long position" argument.	8 years ago
Alexander Alekhin	93091ba203	dnn: AVX2 fix invalid unaligned read	8 years ago
Alexander Alekhin	623de337e8	dnn: fix build warnings	8 years ago
Alexander Alekhin	ee54bafe6b	dnn: fix dnn python test files	8 years ago
Alexander Alekhin	e03569f3a8	dnn: remove obsolete "build opencv_contrib with dnn module" tutorial	8 years ago
Alexander Alekhin	382e38941c	dnn: fix documentation links	8 years ago
Alexander Alekhin	14de8ac951	dnn: move samples	8 years ago
Alexander Alekhin	6031c79197	dnn: remove unused README	8 years ago

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300 Commits (7b8ab4e5c69e0bc0d71f8c6c4eaac4b148705ce9)