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Commit Graph

252 Commits (28c064f3459debe8707eb6d2817a080f442e8e7c)

Author	SHA1	Message	Date
Dmitry Kurtaev	8646d5fb84	FP16 Caffe models import and export	7 years ago
Dmitry Kurtaev	7dc6b1d7d4	Layers for OpenFace face recognition network	7 years ago
Dmitry Kurtaev	cad7c4d51d	MobileNet-SSD and VGG-SSD topologies in Halide	7 years ago
Alexander Alekhin	01519313d7	dnn: invalid bindings	7 years ago
Dmitry Kurtaev	5c43a394c5	Added performance test for Caffe framework	7 years ago
Aleksandr Rybnikov	8b1146deb2	Added function to get timings for layers	7 years ago
Aleksandr Rybnikov	8d6b8b45b6	Added ELU and test for it	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	8 years ago
Alexander Alekhin	544908d06c	dnn: some minor fixes in docs, indentation, unused code	8 years ago
abratchik	8f7181429f	add java wrappers to dnn module	8 years ago
Alexander Alekhin	6ea6e4bceb	binding: fix headers processing	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
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	623de337e8	dnn: fix build warnings	8 years ago
Alexander Alekhin	7f12836df9	dnn: fix public headers guards	8 years ago
Alexander Alekhin	93729784bb	dnn: move module from opencv_contrib ... e6f63c7a38/modules/dnn	8 years ago