opencv

Commit Graph

Author	SHA1	Message	Date
Alexander Alekhin	f756923271	dnn(ie): avoid conversion to legacy CNNNetworkImpl	5 years ago
Alexander Alekhin	83c4378d5d	dnn(test): skip failed NGRAPH/MYRIAD tests	5 years ago
Dmitry Kurtaev	908bf935f7	Flexible inputs for OpenVINO IR models	5 years ago
Liubov Batanina	a448d3a6aa	Fix ENet test with OpenVINO 2020.2	5 years ago
Dmitry Kurtaev	8574a757f9	Case sensitive dnn layers types	5 years ago
YashasSamaga	4e8cd4629c	fix CUDNN_STATUS_NOT_SUPPORTED, remove redundant fusion checks	5 years ago
Alexander Alekhin	9b64eadcb6	dnn(ie): separate IECore for different devices - HETERO plugin doesn't switch well between devices	5 years ago
Alexander Alekhin	124bf8339f	dnn(IE): use HAVE_DNN_IE_NN_BUILDER_2019 for NN Builder API code - CMake option: OPENCV_DNN_IE_NN_BUILDER_2019	5 years ago
Alexander Alekhin	29d214474f	dnn(IE): use HAVE_DNN_IE_NN_BUILDER_2019 for NN Builder API code - CMake option: OPENCV_DNN_IE_NN_BUILDER_2019	5 years ago
Dmitry Kurtaev	d8dea7896b	Merge pull request #16628 from dkurt:dnn_ngraph_custom_layers * Custom layers with nGraph * nGraph: multiple outputs from nodes	5 years ago
Alexander Alekhin	01048e5603	Merge pull request #16616 from alalek:dnn_fix_input_shape * dnn: fix processing of input shapes - importer: avoid using of .setInput() => .setInputShape() - setInput: shape limitation check (partial) * dnn(test): test .setInput() in readNet()	5 years ago
Yashas Samaga B L	1f695c4532	Merge pull request #16161 from YashasSamaga:cuda4dnn-concat-fusion cuda4dnn(concat): write outputs from previous layers directly into concat's output * eliminate concat by directly writing to its output buffer * fix concat fusion not happening sometimes * use a whitelist instead of a blacklist	5 years ago
Dmitry Kurtaev	f3eef792eb	Enable Mask R-CNN with Inference Engine. Full coverage with nGraph	5 years ago
Alexander Alekhin	6eba1a4d44	dnn: auto network dump through parameter	5 years ago
Alexander Alekhin	fa4871b013	dnn: don't require setInput in .dump()	5 years ago
Alexander Alekhin	2638c5e9b7	dnn: dump layer's blobs on getMemoryShapes() error	5 years ago
Dmitry Kurtaev	d92a883de1	Different way to reset Myriad device	5 years ago
Julien	4e2ef8c8f5	Merge pull request #16218 from JulienMaille:cuda-dnn-for-older-gpus Enable cuda4dnn on hardware without support for __half * Enable cuda4dnn on hardware without support for half (ie. compute capability < 5.3) Update CMakeLists.txt Lowered minimum CC to 3.0 * UPD: added ifdef on new copy kernel * added fp16 support detection at runtime * Clarified #if condition on atomicAdd definition * More explicit CMake error message	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
antalzsiroscandid	aa80f754f4	dnn: reading IR models from buffer	5 years ago
Yashas Samaga B L	17c485eb03	Merge pull request #16092 from YashasSamaga:cuda4dnn-conv-act-fuse cuda4dnn: fuse activations with convolutions * fuse ReLU, ReLU6, TanH, Sigmoid with conv * fix OpenCL errors * improve ReLU, add power, swish and mish * fix missing fusion entries * fix handling of unsetAttached * remove whole file indentation * optimize power = 1.0, use IDENTITY instead of NONE * handle edge case: change backend and then clear	5 years ago
Alexander Alekhin	b1b505f783	dnn: clarify error message from getMemoryShapes()	5 years ago
Dmitry Kurtaev	134094a442	Backport fix for autodetection of input shapes	5 years ago
Dmitry Kurtaev	d8e10f3a8d	Enable MaxPooling with indices in Inference Engine	5 years ago
Dmitry Kurtaev	ca1ba7a53d	Backport for dnn input shape estimation	5 years ago
Lubov Batanina	7523c777c5	Merge pull request #15537 from l-bat:ngraph * Support nGraph * Fix resize	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	6 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	6 years ago
Dmitry Kurtaev	fba9fdfd27	Fix autodetection of input size for dnn networks	6 years ago
Lubov Batanina	e923712d81	Merge pull request #15572 from l-bat:deconv3d Fix computation of internal shapes in Deconvolution layer * Fix computation of internal shapes * Refactoring	6 years ago
Dmitry Kurtaev	b8d4664e6e	Fix OpenVINO 2019R1 compilation	6 years ago
Dmitry Kurtaev	0428f60d66	Fix OpenVINO 2019R1 compilation	6 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	6 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	6 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	6 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	6 years ago
Lubov Batanina	12fdaf895e	Merge pull request #15057 from l-bat:fix_vizualizer * Fix dumpToFile * Add test * Fix test	6 years ago
Dmitry Kurtaev	eba696a41e	Merge pull request #14792 from dkurt:dnn_ie_min_version_r5 * Remove Inference Engine 2018R3 and 2018R4 * Fix 2018R5	6 years ago
Lubov Batanina	61d3222a22	Merge pull request #14537 from l-bat:fix_network_vizualizer Fix dnn visualizer (#14537) * Fixed print layer params * Fix print	6 years ago
Alexander Alekhin	132253c9f3	dnn: use AsyncArray	6 years ago
Dmitry Kurtaev	c3b0a68a2b	Async mode for dnn's object detection sample	6 years ago
Lubov Batanina	77fa59c3da	Merge pull request #14301 from l-bat:conv3d Support Convolution3D layer on IE backend (#14301) * Add Convolution3D layer * Disable CXX11 * Fixed tests * Add Pooling3D layer * Merge Conv2d with Conv3d and Pool2d with Pool3d layers * Split pads * Add Deconvolution layer * Refactoring * Deduplication * Refactoring * Add utils for Convolution and Pooling layers	6 years ago
Dmitry Kurtaev	a5c92c2029	Merge pull request #13694 from dkurt:dnn_ie_async Asynchronous API from Intel's Inference Engine (#13694) * Add forwardAsync for asynchronous mode from Intel's Inference Engine * Python test for forwardAsync * Replace Future_Mat to AsyncMat * Shadow AsyncMat * Isolate InferRequest callback * Manage exceptions in Async API of IE	6 years ago
Lubov Batanina	60a841c797	Merge pull request #14255 from l-bat:networks_visualization * Add networks visualization * Disable CXX11 * Fixed multy inputs support * Added output shapes * Added color for DLIE/CPU * Fixed graph colors	6 years ago
Dmitry Kurtaev	a2bbfa1db5	Enable some tests for Inference Engine 2019R1	6 years ago
103yiran	4bb6edf176	Merge pull request #14117 from 103yiran:103yiran-patch-dnn * Postpone variable definitions * dnn: reduce scope of 'Mat image' variable	6 years ago
Alexander Alekhin	8483801eab	dnn: use OpenVINO 2019R1 defines	6 years ago
Lubov Batanina	7d3d6bc4e2	Merge pull request #13932 from l-bat:MyriadX_master_dldt * Fix precision in tests for MyriadX * Fix ONNX tests * Add output range in ONNX tests * Skip tests on Myriad OpenVINO 2018R5 * Add detect MyriadX * Add detect MyriadX on OpenVINO R5 * Skip tests on Myriad next version of OpenVINO * dnn(ie): VPU type from environment variable * dnn(test): validate VPU type * dnn(test): update DLIE test skip conditions	6 years ago
Dmitry Kurtaev	ca5976e3d4	Fix IE backend considering future changes.	6 years ago

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244 Commits (152e6476d9a270e6ce35d3f1b200a303654e576e)