opencv

Commit Graph

Author	SHA1	Message	Date
Liubov Batanina	ad63d24dba	Merge pull request #18096 from l-bat:update_onnx_importer * Added ReduceSum to ONNX importer * Fix comments * Fix Mul	4 years ago
Liubov Batanina	339b963e6b	Fix MatMul and Add axes	4 years ago
YashasSamaga	f0149cdae2	fix compile-time errors, disable unsupported tests	4 years ago
Liubov Batanina	d695208727	Merge pull request #17967 from l-bat:non_const_weights_for_conv * Supported convolution with non-const weights * Fix opencl blobs * Update tests	4 years ago
Liubov Batanina	a35d4f9029	Support Gather for variable inputs	4 years ago
Alexander Alekhin	1c371d07b5	dnn(test): adjust tests for OpenVINO 2020.4	4 years ago
YashasSamaga	265acccd56	allow multiple inputs to resize, fix tests	5 years ago
Liubov Batanina	b27ae9c63b	Switch v1::Multiply to v0::Multiply	5 years ago
Liubov Batanina	79f8b7fd73	Merge pull request #17233 from l-bat:onnx_bn * Added ONNX BatchNorm subgraph * Move removing constant inputs to addConstantNodesForInitializers * Added initializers to ONNXGraphWrapper	5 years ago
Alexander Alekhin	b805115c1a	dnn(test): update skip tests on Win32 configuration	5 years ago
Alexander Alekhin	83c4378d5d	dnn(test): skip failed NGRAPH/MYRIAD tests	5 years ago
ashishiva3@gmail.com	e0ac0cfbe2	add fused batchNorm Upsample	5 years ago
AshihsKrShrivastava	d37180a2c4	modification for upsample node fused from unfused Resize subgraph	5 years ago
Dmitry Kurtaev	d3f9ad1145	Enable ONNX SSD from https://github.com/amdegroot/ssd.pytorch	5 years ago
AshihsKrShrivastava	bef6b6282c	ReflecitonPad2d and ZeroPad2d Subgraph fusion added	5 years ago
Liubov Batanina	734771418e	Merge pull request #16840 from l-bat:matmul_inputs * Supported FullyConnected layer with two inputs * Skipped test * Fix conditions * Added OpenCL support * Supported ReduceMean3D * Supported Expand layer * Fix warning * Added Normalize subgraph * refactoring * Used addLayer * Fix check * Used addLayer * Skip failed test * Added normalize1 subgraph * Fix comments	5 years ago
Dmitry Kurtaev	8574a757f9	Case sensitive dnn layers types	5 years ago
Dmitry Kurtaev	467c3ef0ac	Add checks for LSTM initial h and c	5 years ago
Dmitry Kurtaev	8433620295	Bidirectional LSTM	5 years ago
Dmitry Kurtaev	8d69dbdf49	LSTM from ONNX works	5 years ago
Dmitry Kurtaev	14da5ec311	LSTM scalar	5 years ago
Liubov Batanina	718d7e4b04	Merge pull request #16715 from l-bat:slice_onnx * Support Slice layer with multiple inputs * Add test * Supported Resize from PyTorch * Rewrite test * Remove Cast layer (supported in #16735) * Support ConstantOfShape * Fix tests * Fix coments * Remove useless condition * Fixed failed tests	5 years ago
Liubov Batanina	2645ee90ca	Merge pull request #16735 from l-bat:flatten_const_onnx * Supported Flatten for constant nodes * Added default axis * Refactoring * Refactoring * Added cast layer * Fix comments * Add Cast for layers	5 years ago
Dmitry Kurtaev	9e332dc5fb	Broadcasting from ONNX	5 years ago
Liubov Batanina	9ed1332355	Merge pull request #16722 from l-bat:reshape_opset_11 * Supported Div op for constants * Added Mul test	5 years ago
ashishiva3@gmail.com	e18d5e94c7	Gather-Cast, Mul-Cast fusion	5 years ago
Liubov Batanina	b1b78aedd2	Skipped ResizeUnfused test on Builder API	5 years ago
ashishiva3@gmail.com	8559237d4e	ONNX: upsample subgraph fusion added	5 years ago
Alexander Alekhin	c2f5f5a202	dnn(test): configure filtering for 32-bit systems (part 2)	5 years ago
Alexander Alekhin	1540ae340f	dnn(test): configure filtering for 32-bit systems	5 years ago
Liubov Batanina	e970eccbf1	Merge pull request #16472 from l-bat:cp_vton Add CP-VTON sample * Support resize from PyTorch * Add CP-VTON sample * Fix downsampling * Fix test * Add model links * Add default args * Speed up resize * Fix TOM link * Add default args * Fix comments * Set aspect ratio for input * Update links * Check files exist	5 years ago
Gagandeep Singh	a6f3a21256	Merge pull request #16424 from czgdp1807:issue-16370 * fixed Split layer in ONNXImporter * added test for fix of split layer * fixed tests for Split layer * applied reviews * updated tests * fixed paths in tests	5 years ago
Dmitry Kurtaev	c1c84d2fd1	ONNX graphs simplifier	5 years ago
Dmitry Kurtaev	8f1e36f7c1	Disable some tests for Myriad target of nGraph Add lightweight IE hardware targets checks nGraph: Concat with paddings Enable more nGraph tests Restore FP32->FP16 for GPU plugin of IE try to fix buildbot Use lightweight IE targets check only starts from R4	5 years ago
Yashas Samaga B L	1fac1421e5	Merge pull request #16010 from YashasSamaga:cuda4dnn-fp16-tests * enable tests for DNN_TARGET_CUDA_FP16 * disable deconvolution tests * disable shortcut tests * fix typos and some minor changes * dnn(test): skip CUDA FP16 test too (run_pool_max)	5 years ago
YashasSamaga	a91eca6ec2	add DIV support to EltwiseOp	5 years ago
Lubov Batanina	7523c777c5	Merge pull request #15537 from l-bat:ngraph * Support nGraph * Fix resize	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
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	e35fd463e7	Enable ENet with Inference Engine backend on CPU	5 years ago
Alexander Alekhin	fd11e3a81d	dnn: update IE tests	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
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
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
Dmitry Kurtaev	75f4c1abf2	Enable some tests for Inference Engine backend	6 years ago

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114 Commits (8753203df04b90f39f15c3ca19cb646d14138158)