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Commit Graph

374 Commits (264679a7254cc8051b0d11d11e769201d04b3570)

Author	SHA1	Message	Date
Dmitry Kurtaev	58b890b9f7	Dilated convolution import from TensorFlow	7 years ago
Dmitry Kurtaev	6639348c5e	Disable SSD on CPU Halide test	7 years ago
Dmitry Kurtaev	ce41a15437	Import and convert FP16 weights from TensorFlow	7 years ago
Dmitry Kurtaev	cad7c4d51d	MobileNet-SSD and VGG-SSD topologies in Halide	7 years ago
Dmitry Kurtaev	5c43a394c5	Added performance test for Caffe framework	7 years ago
Dmitry Kurtaev	e74c475162	Removed 3rdparty serialized NumPy arrays parser	7 years ago
Dmitry Kurtaev	54f0616a13	Deconvolution layer from TensorFlow	7 years ago
dkurt	339793143c	Unit tests for TensorFlow importer	7 years ago
Aleksandr Rybnikov	8d6b8b45b6	Added ELU and test for it	7 years ago
Tomoaki Teshima	e63d628677	remove some rand functions ... * make test more reproducible	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
dkurt	3203635765	Eltwise layer fixes	7 years ago
Aleksandr Rybnikov	d3c14ce3ea	Added tests for ResNet-50 and SqueezeNet v1.1	7 years ago
Alexander Alekhin	32d1eb36df	dnn: fix links	7 years ago
Alexander Alekhin	72a765d766	dnn: fix compilation of Halide tests	7 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	7 years ago
dkurt	121789f78e	Fixed some bugs from Halide tests	8 years ago
Alexander Alekhin	ee54bafe6b	dnn: fix dnn python test files	8 years ago
Alexander Alekhin	382e38941c	dnn: fix documentation links	8 years ago
Alexander Alekhin	93729784bb	dnn: move module from opencv_contrib ... e6f63c7a38/modules/dnn	8 years ago