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Commit Graph

7 Commits (41b23fde9f02019792ab30c1844de3cf498092fb)

Author	SHA1	Message	Date
Dmitry Kurtaev	7dc6b1d7d4	Layers for OpenFace face recognition network	8 years ago
Maksim Shabunin	248e2c7d47	Fixed some issues found by static analysis	8 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	ed10383359	dnn: added trace macros	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	93729784bb	dnn: move module from opencv_contrib ... e6f63c7a38/modules/dnn	8 years ago