opencv

Commit Graph

Author	SHA1	Message	Date
Alexander Alekhin	28aab134db	dnn(test): update tests for OpenVINO 2021.2	4 years ago
Omar Alzaibaq	a316b11aaa	Merge pull request #18220 from Omar-AE:hddl-supported * added HDDL VPU support * changed to return True in one line if any device connected * dnn: use releaseHDDLPlugin() * dnn(hddl): fix conditions	4 years ago
Sergei Slashchinin	61144f935e	Merge pull request #18783 from sl-sergei:fix_conv1d Add support for Conv1D on OpenCV backend * Add support for Conv1D on OpenCV backend * disable tests on other targets/backends * Fix formatting * Restore comment * Remove unnecessary flag and fix test logic * Fix perf test * fix braces * Fix indentation, assert check and remove unnecessary condition * Remove unnecessary changes * Add test cases for variable weights and bias * dnn(conv): fallback on OpenCV+CPU instead of failures * coding style	4 years ago
Alexander Alekhin	6da05f7086	dnn(test): update tests for OpenVINO 2021.1	4 years ago
Alexander Alekhin	81e027eef7	dnn: fix OpenCL implementation of Slice layer	4 years ago
Alexander Alekhin	1c371d07b5	dnn(test): adjust tests for OpenVINO 2020.4	4 years ago
Alexander Alekhin	99c4b76a6d	dnn(test): add YOLOv4-tiny tests	5 years ago
Dmitry Kurtaev	d9bada9867	dnn: EfficientDet	5 years ago
Alexander Alekhin	6b89154afd	dnn(test): add YOLOv4 tests	5 years ago
Dmitry Kurtaev	d8e10f3a8d	Enable MaxPooling with indices in Inference Engine	5 years ago
Lubov Batanina	7523c777c5	Merge pull request #15537 from l-bat:ngraph * Support nGraph * Fix resize	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	6193e403e7	Enable some tests for 2019R2	5 years ago
Dmitry Kurtaev	a0c3bb70a9	Modify SSD from TensorFlow graph generation script to enable MyriadX	5 years ago
Alexander Alekhin	416c693b3f	dnn(test): OpenVINO 2019R2	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	6 years ago
Alexander Alekhin	13a782c039	test: fix usage of findDataFile() misused 'optional' mode	6 years ago
Dmitry Kurtaev	9c0af1f675	Enable more deconvolution layer configurations with IE backend	6 years ago
Dmitry Kurtaev	44d21e5a79	Enable Slice layer on Inference Engine backend	6 years ago
Alexander Alekhin	cafa010389	dnn(test): skip tests	6 years ago
Alexander Alekhin	fcb07c64f3	cmake: fix build of dnn tests with shared common code - don't share .cpp files (PCH support is broken)	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	ed710eaa1c	Make Inference Engine R3 as a minimal supported version	6 years ago
Liubov Batanina	183c0fcab1	Changed condition for resize and lrn layers	6 years ago
Dmitry Kurtaev	f0ddf302b2	Move Inference Engine to new API	6 years ago
Maksim Shabunin	fe459c82e5	Merge pull request #13332 from mshabunin:dnn-backends DNN backends registry (#13332) * Added dnn backends registry * dnn: process DLIE/FPGA target	6 years ago
Dmitry Kurtaev	0d117312c9	DNN_TARGET_FPGA using Intel's Inference Engine	6 years ago
Alexander Alekhin	96c71dd3d2	dnn: reduce set of ignored warnings	6 years ago
tompollok	0b77600718	change area() emptiness checks to empty()	6 years ago
Jakub Golinowski	9f1218b00b	Merge pull request #11897 from Jakub-Golinowski:hpx_backend * Add HPX backend for OpenCV implementation Adds hpx backend for cv::parallel_for_() calls respecting the nstripes chunking parameter. C++ code for the backend is added to modules/core/parallel.cpp. Also, the necessary changes to cmake files are introduced. Backend can operate in 2 versions (selectable by cmake build option WITH_HPX_STARTSTOP): hpx (runtime always on) and hpx_startstop (start and stop the backend for each cv::parallel_for_() call) * WIP: Conditionally include hpx_main.hpp to tests in core module Header hpx_main.hpp is included to both core/perf/perf_main.cpp and core/test/test_main.cpp. The changes to cmake files for linking hpx library to above mentioned test executalbles are proposed but have issues. * Add coditional iclusion of hpx_main.hpp to cpp cpu modules * Remove start/stop version of hpx backend	6 years ago
Alexander Alekhin	c557193b8c	dnn(test): use dnnBackendsAndTargets() param generator	6 years ago
Alexander Alekhin	3e6b3a6856	dnn(perf): fix and merge Convolution tests - OpenCL tests didn't run any OpenCL kernels - use real configuration from existed models (the first 100 cases) - batch size = 1	6 years ago
Dmitry Kurtaev	8e034053af	Faster-RCNN from TensorFlow on CPU with Intel's Inference Engine backend	6 years ago
Dmitry Kurtaev	2c291bc2fb	Enable FastNeuralStyle and OpenFace networks with IE backend	7 years ago
Dmitry Kurtaev	40765c5f8d	Enable SSD models from TensorFlow with OpenCL plugin of Intel's Inference Engine	7 years ago
David	7175f257b5	Added ResizeBilinear op for tf (#11050 ) * Added ResizeBilinear op for tf Combined ResizeNearestNeighbor and ResizeBilinear layers into Resize (with an interpolation param). Minor changes to tf_importer and resize layer to save some code lines Minor changes in init.cpp Minor changes in tf_importer.cpp * Replaced implementation of a custom ResizeBilinear layer to all layers * Use Mat::ptr. Replace interpolation flags	7 years ago
Dmitry Kurtaev	f3a6ae5f00	Wrap Inference Engine init to try-catch	7 years ago
Alexander Alekhin	6816495bee	dnn(test): reuse test/test_common.hpp, eliminate dead code warning	7 years ago
Dmitry Kurtaev	b781ac7346	Make Intel's Inference Engine backend is default if no preferable backend is specified.	7 years ago
Dmitry Kurtaev	f96f934426	Update Intel's Inference Engine deep learning backend (#11587 ) * Update Intel's Inference Engine deep learning backend * Remove cpu_extension dependency * Update Darknet accuracy tests	7 years ago
Li Peng	1b517a45ae	add fp16 accuracy and perf test Signed-off-by: Li Peng <peng.li@intel.com>	7 years ago
Dmitry Kurtaev	bd77d100e1	Enable some tests for clDNN plugin from Intel's Inference Engine	7 years ago
Dmitry Kurtaev	97fec07d96	Support YOLOv3 model from Darknet	7 years ago
Dmitry Kurtaev	709cf5d038	OpenCL GPU target for Inference Engine deep learning backend Enable FP16 GPU target for DL Inference Engine backend.	7 years ago
Dmitry Kurtaev	7972f47ed4	Load networks from intermediate representation of Intel's Deep learning deployment toolkit.	7 years ago
Dmitry Kurtaev	7fe97376c2	MobileNet-SSD from TensorFlow 1.3 and Inception-V2-SSD using Inference Engine backend	7 years ago
Dmitry Kurtaev	ed94136548	OpenCV face detection network using Inference Engine backend	7 years ago
Dmitry Kurtaev	10e1de74d2	Intel Inference Engine deep learning backend (#10608 ) * Intel Inference Engine deep learning backend. * OpenFace network using Inference Engine backend	7 years ago
Alexander Alekhin	4a297a2443	ts: refactor OpenCV tests - removed tr1 usage (dropped in C++17) - moved includes of vector/map/iostream/limits into ts.hpp - require opencv_test + anonymous namespace (added compile check) - fixed norm() usage (must be from cvtest::norm for checks) and other conflict functions - added missing license headers	7 years ago
Alexander Alekhin	9b131b5f7e	dnn(test): avoid calling of cv::setNumThreads() in tests directly It is not necessary by default. Also it breaks test system command-line parameters: --perf_threads / --test_threads	7 years ago

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89 Commits (91a7a4523ad0b32b2fba3d5ca6b26450a1762b05)