opencv

Commit Graph

Author	SHA1	Message	Date
Manjunath Bhat	78c5e41c23	Merge pull request #15808 from thebhatman:Mish_swish * Added Swish and Mish activations * Fixed whitespace errors * Kernel implementation done * Added function for launching kernel * Changed type of 1.0 * Attempt to add test for Swish and Mish * Resolving type mismatch for log * exp from device * Use log1pexp instead of adding 1 * Added openCL kernels	5 years ago
Lubov Batanina	cfc781949d	Merge pull request #15811 from l-bat:eltwise_div Supported ONNX Squeeze, ReduceL2 and Eltwise::DIV * Support eltwise div * Fix test * OpenCL support added * refactoring * fix code style * Only squeeze with axes supported	5 years ago
Dimitri Gerin	7c4158d8c2	Fix dnn::getLayerInputs	5 years ago
Dmitry Kurtaev	dfe0368835	Fix custom IE layers in case of no MKLDNN plugin	5 years ago
Yashas Samaga B L	613c12e590	Merge pull request #14827 from YashasSamaga:cuda4dnn-csl-low CUDA backend for the DNN module * stub cuda4dnn design * minor fixes for tests and doxygen * add csl public api directory to module headers * add low-level CSL components * add high-level CSL components * integrate csl::Tensor into backbone code * switch to CPU iff unsupported; otherwise, fail on error * add fully connected layer * add softmax layer * add activation layers * support arbitary rank TensorDescriptor * pass input wrappers to `initCUDA()` * add 1d/2d/3d-convolution * add pooling layer * reorganize and refactor code * fixes for gcc, clang and doxygen; remove cxx14/17 code * add blank_layer * add LRN layer * add rounding modes for pooling layer * split tensor.hpp into tensor.hpp and tensor_ops.hpp * add concat layer * add scale layer * add batch normalization layer * split math.cu into activations.cu and math.hpp * add eltwise layer * add flatten layer * add tensor transform api * add asymmetric padding support for convolution layer * add reshape layer * fix rebase issues * add permute layer * add padding support for concat layer * refactor and reorganize code * add normalize layer * optimize bias addition in scale layer * add prior box layer * fix and optimize normalize layer * add asymmetric padding support for pooling layer * add event API * improve pooling performance for some padding scenarios * avoid over-allocation of compute resources to kernels * improve prior box performance * enable layer fusion * add const layer * add resize layer * add slice layer * add padding layer * add deconvolution layer * fix channelwise ReLU initialization * add vector traits * add vectorized versions of relu, clipped_relu, power * add vectorized concat kernels * improve concat_with_offsets performance * vectorize scale and bias kernels * add support for multi-billion element tensors * vectorize prior box kernels * fix address alignment check * improve bias addition performance of conv/deconv/fc layers * restructure code for supporting multiple targets * add DNN_TARGET_CUDA_FP64 * add DNN_TARGET_FP16 * improve vectorization * add region layer * improve tensor API, add dynamic ranks 1. use ManagedPtr instead of a Tensor in backend wrapper 2. add new methods to tensor classes - size_range: computes the combined size of for a given axis range - tensor span/view can be constructed from a raw pointer and shape 3. the tensor classes can change their rank at runtime (previously rank was fixed at compile-time) 4. remove device code from tensor classes (as they are unused) 5. enforce strict conditions on tensor class APIs to improve debugging ability * fix parametric relu activation * add squeeze/unsqueeze tensor API * add reorg layer * optimize permute and enable 2d permute * enable 1d and 2d slice * add split layer * add shuffle channel layer * allow tensors of different ranks in reshape primitive * patch SliceOp to allow Crop Layer * allow extra shape inputs in reshape layer * use `std::move_backward` instead of `std::move` for insert in resizable_static_array * improve workspace management * add spatial LRN * add nms (cpu) to region layer * add max pooling with argmax ( and a fix to limits.hpp) * add max unpooling layer * rename DNN_TARGET_CUDA_FP32 to DNN_TARGET_CUDA * update supportBackend to be more rigorous * remove stray include from preventing non-cuda build * include op_cuda.hpp outside condition #if * refactoring, fixes and many optimizations * drop DNN_TARGET_CUDA_FP64 * fix gcc errors * increase max. tensor rank limit to six * add Interp layer * drop custom layers; use BackendNode * vectorize activation kernels * fixes for gcc * remove wrong assertion * fix broken assertion in unpooling primitive * fix build errors in non-CUDA build * completely remove workspace from public API * fix permute layer * enable accuracy and perf. tests for DNN_TARGET_CUDA * add asynchronous forward * vectorize eltwise ops * vectorize fill kernel * fixes for gcc * remove CSL headers from public API * remove csl header source group from cmake * update min. cudnn version in cmake * add numerically stable FP32 log1pexp * refactor code * add FP16 specialization to cudnn based tensor addition * vectorize scale1 and bias1 + minor refactoring * fix doxygen build * fix invalid alignment assertion * clear backend wrappers before allocateLayers * ignore memory lock failures * do not allocate internal blobs * integrate NVTX * add numerically stable half precision log1pexp * fix indentation, following coding style, improve docs * remove accidental modification of IE code * Revert "add asynchronous forward" This reverts commit 1154b9da9da07e9b52f8a81bdcea48cf31c56f70. * [cmake] throw error for unsupported CC versions * fix rebase issues * add more docs, refactor code, fix bugs * minor refactoring and fixes * resolve warnings/errors from clang * remove haveCUDA() checks from supportBackend() * remove NVTX integration * changes based on review comments * avoid exception when no CUDA device is present * add color code for CUDA in Net::dump	5 years ago
Dmitry Kurtaev	af61a15839	Fix Darknet eltwise	5 years ago
Dmitry Kurtaev	adbd613660	Enable Eltwise layer with different numbers of inputs channels	5 years ago
Dmitry Kurtaev	e35fd463e7	Enable ENet with Inference Engine backend on CPU	5 years ago
Alexander Alekhin	fd11e3a81d	dnn: update IE tests	5 years ago
Alexander Alekhin	f0058bbed3	dnn(test): fix optional test data	5 years ago
Alexander Alekhin	8814645c8d	dnn(test): skip IE/OCL test for "sum"	5 years ago
Alexander Alekhin	440a937d24	dnn: increase async test timeout	5 years ago
Dmitry Kurtaev	fba9fdfd27	Fix autodetection of input size for dnn networks	5 years ago
Andrew Ryrie	b88435fdc2	dnn: Allow LSTM layer to operate in reverse direction This is useful for bidirectional LSTMs.	5 years ago
Dmitry Kurtaev	b8d4664e6e	Fix OpenVINO 2019R1 compilation	5 years ago
Dmitry Kurtaev	bd5d16ce36	Fix DetectionModel in case of out of [0, 1] range detection prediction	5 years ago
Dmitry Kurtaev	3ddb005480	Fix DetectionModel in case of out of [0, 1] range detection prediction	5 years ago
Dmitry Kurtaev	0428f60d66	Fix OpenVINO 2019R1 compilation	5 years ago
Dmitry Kurtaev	ba703157cf	Merge pull request #15063 from dkurt:dnn_ie_ocv_layers * Wrap unsupported by IE layers as custom layers * Replace pointers to layers blobs to their shapes * Enable Faster R-CNN with IE backend on CPU	5 years ago
Lubov Batanina	90eb529bc4	Merge pull request #15395 from l-bat:fully_connected * Fix IE FullyConnected layer * Fix MyriadX	5 years ago
Dmitry Kurtaev	57676cf64d	Fix https://github.com/opencv/opencv/issues/15141	5 years ago
luz.paz	fcc7d8dd4e	Fix modules/ typos Found using `codespell -q 3 -S ./3rdparty -L activ,amin,ang,atleast,childs,dof,endwhile,halfs,hist,iff,nd,od,uint` backporting of commit: `ec43292e1e`	5 years ago
luz.paz	ec43292e1e	Fix modules/ typos Found using `codespell -q 3 -S ./3rdparty -L activ,amin,ang,atleast,childs,dof,endwhile,halfs,hist,iff,nd,od,uint`	5 years ago
Dmitry Kurtaev	e4a80aee09	Fix #15296	5 years ago
Diego	f7f2438478	Merge pull request #15082 from dvd42:segmentation-module Segmentation module (#15082)	5 years ago
Lubov Batanina	f1ea9d86b9	Merge pull request #15203 from l-bat:determine_inp_shape * Determine input shapes * Add test * Remove getInputShapes * Fix model * Fix constructors * Add Caffe test * Fix predict	5 years ago
Dmitry Kurtaev	6193e403e7	Enable some tests for 2019R2	5 years ago
Lubov Batanina	0e1ef8f8e1	Merge pull request #15184 from l-bat:IE_R2 Support new IE API (#15184) * Add support OpenVINO R2 for layers * Add Core API * Fix tests * Fix expectNoFallbacksFromIE for ONNX nets * Remove deprecated API * Remove td * Remove TargetDevice * Fix Async * Add test * Fix detectMyriadX * Fix test * Fix warning	5 years ago
Lubov Batanina	778f42ad34	Add high level API (Merge pull request #14780 ) * Add high level API * Fix Model * Add DetectionModel * Add ClassificationModel * Fix classify * Add python test * Fix pytest * Fix comments to review * Fix detect * Fix docs * Modify DetectionOutput postprocessing * Fix test * Extract ref boxes * Fix draw rect * fix test * Add rect wrap * Fix wrap * Fix detect * Fix Rect wrap * Fix OCL_FP16 * Fix MyriadX * Fix nms * Fix NMS * Fix coords	5 years ago
Lubov Batanina	5a6b23e8f3	Support for several min and max sizes in PriorBox layer (Merge pull request #15076 ) * Support for several min and max sizes in PriorBox layer * Fix minSize * Check size * Modify initInfEngine * Fix tests * Fix IE support * Add priorbox test * Remove inputs	5 years ago
Dmitry Kurtaev	f9f160404a	Add support for slice from ONNX with multiple outputs	5 years ago
Dmitry Kurtaev	ebaefbb745	Remove VGG16 from ONNX test because there is VGG16_bn	5 years ago
Dmitry Kurtaev	77d4e3e8d2	Fix 2019R2 tests	5 years ago
Dmitry Kurtaev	a0c3bb70a9	Modify SSD from TensorFlow graph generation script to enable MyriadX	5 years ago
Dmitry Kurtaev	a2125594ea	Fix false positives of face detection network for large faces	5 years ago
Alexander Alekhin	416c693b3f	dnn(test): OpenVINO 2019R2	5 years ago
Lubov Batanina	781f4d439e	Merge pull request #15032 from l-bat:reduce_mean * Added support for the ONNX "ReduceMean" Layer. (as this is the same as the GlobalAveragePool) * Add ReduceMean test * Fix ONNX importer * Fix ReduceMean * Add assert * Split test * Fix split test	5 years ago
Lubov Batanina	12fdaf895e	Merge pull request #15057 from l-bat:fix_vizualizer * Fix dumpToFile * Add test * Fix test	5 years ago
Liubov Batanina	0d2bc7b5fd	Fix TF Split layer	5 years ago
Alexander Alekhin	5ccb2a4cbd	dnn(test): fix required data	5 years ago
Lubov Batanina	34f6b05467	Merge pull request #14996 from l-bat:ocv_deconv3d * Support Deconvolution3D on IE backend * Add test tag * Fix tests	5 years ago
Lubov Batanina	8bcd7e122a	Merge pull request #14842 from l-bat:ocv_conv3d * Support Conv3D on OCV backend * Add header * Add perf tests * Support pool3d * Enable Resnet34_kinetics on OCV backend * Add test * Fix conv * Optimize Conv2D	5 years ago
Diego	57fae4a6a1	Merge pull request #14858 from dvd42:instancenorm_onnx Instancenorm onnx (#14858) * Onnx unsupported operation handling * instance norm implementation * Revert "Onnx unsupported operation handling" * instance norm layer test * onnx instancenorm layer	5 years ago
Diego	6dfe2ddc21	Merge pull request #14959 from dvd42:onnx_clip * onnx clip operation	5 years ago
Alexander Alekhin	bc95c609ff	ts: runtime check for misused 'optional' test data files	5 years ago
gal0is	206b546e5a	tensroflow support maxpoolgrad	5 years ago
Dmitry Kurtaev	75f4c1abf2	Enable some tests for Inference Engine backend	5 years ago
Alexander Alekhin	24790e4061	Merge pull request #14899 from alalek:dnn_fix_bnll_layer * dnn: fix BNLLLayer implementation details: https://github.com/BVLC/caffe/blame/1.0/src/caffe/layers/bnll_layer.cpp#L17 * dnn: enable OCV/OpenCL BNLL layer	6 years ago
Feng Chen	5620306c70	Merge pull request #14845 from vonchenplus:ocv_mirrorpad * tensorflow support mirror pad * revert macro define * revert macro define * reduce code duplication * revert macro define	6 years ago
Alexander Alekhin	894f208de3	dnn(test): replace SkipTestException with tags	6 years ago

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519 Commits (78c5e41c2378f5fc44e6640a9249a16085906390)