opencv

Commit Graph

Author	SHA1	Message	Date
Alexander Alekhin	a12ceb04bb	pre: OpenCV 4.5.0 (version++)	4 years ago
Alexander Alekhin	50ff40d684	pre: OpenCV 3.4.12 (version++)	4 years ago
kadi soheib	6bed5c181b	Corrected Comment as requested by reviewer.	4 years ago
kadi soheib	17c430da88	Updated comment.	5 years ago
kadi soheib	96a501c08b	Adding comment from source code to documentation.	5 years ago
Alexander Alekhin	5f3012fc9a	pre: OpenCV 4.4.0 (version++)	5 years ago
Alexander Alekhin	a43e3bebe6	pre: OpenCV 3.4.11 (version++)	5 years ago
Liubov Batanina	d3aaf2d3a3	Merge pull request #17371 from l-bat:nms_model * Fix NMS bug in DetectionModel * Fixed comments * Refactoring	5 years ago
Liubov Batanina	d991c22090	Merge pull request #16575 from l-bat:flownet2 Support FlowNet2 model * Support DataAugmentation layer * Fix warnings * Fix comments * Support Correlation layer * TEST * Support Correlation layer * Supported Accum and FlowWarp layers * Supported ChannelNorm layer * Supported Resample with inputs.size() > 1 * Fixed comments * Refactoring * Added tests * Add resample test * Added asserts in resize layer * Updated DataAugmentation layer * Update convolution layer * Refactoring * Fix data augmentation layer * Fix caffe importer * Fix resize * Switch to Mat ptr * Remove useless resize type * Used ResizeLayer in Accum * Split ChannelNormLayer * Delete duplicate assert * Add sample * Fix sample * Added colormap	5 years ago
Pavel Rojtberg	66cf55ea1f	dnn: expose only float variant of NMSBoxes for bindings the float variant was always shadowed by the int version as Rect2d is implicitly convertible to Rect. This swaps things which is fine, as the vector of boxes was always copied and the computation was done in double.	5 years ago
Alexander Alekhin	db95aec4a7	dnn(ie): switch to nGraph backend by default	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
Liubov Batanina	4a19ac5aca	Move instruction	5 years ago
Liubov Batanina	7e5b5390ba	Fix comments	5 years ago
Liubov Batanina	832ca0734d	Refactoring	5 years ago
Julien	886220b9be	Merge pull request #16273 from JulienMaille:wrapper_available_target * add a wrapper for getAvailableTargets * add java wrapper on Target enum	5 years ago
Liubov Batanina	7eba3a7c96	Add pack description	5 years ago
Liubov Batanina	752653c70b	Update global pooling	5 years ago
Brian Wignall	f9c514b391	Fix spelling typos backport commit `659ffaddb4`	5 years ago
Brian Wignall	659ffaddb4	Fix spelling typos	5 years ago
Liubov Batanina	543e0302d3	Support global pooling by axis	5 years ago
antalzsiroscandid	aa80f754f4	dnn: reading IR models from buffer	5 years ago
Diego	5b0b59ecfb	Merge pull request #15189 from dvd42:keypoints_module Keypoints module	5 years ago
Alexander Alekhin	5ee7abbe3c	Merge pull request #16088 from alalek:dnn_eltwise_layer_different_src_channels dnn(eltwise): fix handling of different number of channels * dnn(test): reproducer for Eltwise layer issue from PR16063 * dnn(eltwise): rework support for inputs with different channels * dnn(eltwise): get rid of finalize(), variableChannels * dnn(eltwise): update input sorting by number of channels - do not swap inputs if number of channels are same after truncation * dnn(test): skip "shortcut" with batch size 2 on MYRIAD targets	5 years ago
Lubov Batanina	7523c777c5	Merge pull request #15537 from l-bat:ngraph * Support nGraph * Fix resize	5 years ago
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
thebhatman	8a18d132fc	Port Swish and Mish layers	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
Alexander Alekhin	48d41ab088	dnn: bump API version	5 years ago
Alexander Alekhin	70dfae31a2	experimental version++	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
Diego	f7f2438478	Merge pull request #15082 from dvd42:segmentation-module Segmentation module (#15082)	5 years ago
Dmitry Kurtaev	a9839af903	Add preprocessing warps for separate parameters	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	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	f84b08ff08	dnn: bump API version	6 years ago
Alexander Alekhin	f5ddaef46b	experimental version++	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
LaurentBerger	a3be8d7cd7	dead link	6 years ago
Dmitry Kurtaev	26e426adb1	StridedSlice from TensorFlow	6 years ago
Alexander Alekhin	132253c9f3	dnn: use AsyncArray	6 years ago
Kohei Yoshida	7b4aefedea	Add support for loading ONNX model from in-memory buffer.	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
Alexander Alekhin	3902694075	static scans: preserve namespace name	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
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	840c892abd	Batch normalization in training phase from Torch	6 years ago

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236 Commits (1729297ef3bb87ea840c9ab7de9f97e03589fa02)