opencv

Commit Graph

Author	SHA1	Message	Date
Dmitry Kurtaev	b927ce18b2	Support for MobileNetV3-SSD from TensorFlow	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
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
Liubov Batanina	b1b78aedd2	Skipped ResizeUnfused test on Builder API	5 years ago
ashishiva3@gmail.com	8559237d4e	ONNX: upsample subgraph fusion added	5 years ago
YashasSamaga	98b5fb4b9f	disable MaskRCNN test for CUDA_FP16	5 years ago
Alexander Alekhin	cc0066d38d	dnn(test): adjust check tolerance in Keypoints_face	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	c2f5f5a202	dnn(test): configure filtering for 32-bit systems (part 2)	5 years ago
Alexander Alekhin	d54d01ca46	core(MatExpr): fix .type() bug	5 years ago
Alexander Alekhin	1540ae340f	dnn(test): configure filtering for 32-bit systems	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
berak	4fdf4d380c	dnn: small fix in pose estimation model	5 years ago
Dmitry Kurtaev	f3eef792eb	Enable Mask R-CNN with Inference Engine. Full coverage with nGraph	5 years ago
Alexander Alekhin	1602a38fa9	Merge pull request #16572 from alalek:dnn_test_dldt_ir_v10 * dnn(test): test DLDT IRv10 model, drop old models * dnn(test): don't expect bitexact results in DLDT IR tests	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
ashishiva3@gmail.com	cd53144ed3	commit: Corrected end tensor_content parsing for StridedSlice layer.	5 years ago
Alexander Alekhin	8ecfb59930	dnn(test): skip failed ngraph tests	5 years ago
ashishiva3@gmail.com	d64529f6de	Added parsing for Connected and Dropout. Modified maxpool padding	5 years ago
Dmitry Kurtaev	005f38fb45	Fix dnn::ResizeLayer to manage varying input shapes	5 years ago
Alexander Alekhin	b21a861c5b	dnn(test): adjust test tolerance for MYRIAD	5 years ago
ashishiva3@gmail.com	f29bc22005	Convolutional padding parsing modified	5 years ago
Yashas Samaga B L	d85e67d3ec	Merge pull request #16063 from YashasSamaga:cuda4dnn-shortcut-unequal support eltwise sum with different number of input channels in CUDA backend * add shortcut primitive * add offsets in shortcut kernel * skip tests involving more than two inputs * remove redundant modulus operation * support multiple inputs * remove whole file indentation * skip acc in0 trunc test if weighted * use shortcut iff channels are unequal	5 years ago
YashasSamaga	fd369a5004	fix and optimize ROIPooling	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
Liubov Batanina	e9e3af0aaa	Add global pool by axis test	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
Alexander Alekhin	97b6068c46	dnn(test): don't require downloaded data	5 years ago
antalzsiroscandid	aa80f754f4	dnn: reading IR models from buffer	5 years ago
Alexander Alekhin	2c0d9fa81f	dnn(test): fix Test_Model.Keypoints* tests	5 years ago
Xuanda Yang	3d60a9b96c	Merge pull request #16156 from TH3CHARLie:3.4 * Eltwise::DIV support in Halide backend * fix typo * remove div from generated test suite to pass CI, switching to manual test... * ensure divisor not near to zero * use randu * dnn(test): update test data for Eltwise.Accuracy/DIV layer test	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
YashasSamaga	a91eca6ec2	add DIV support to EltwiseOp	5 years ago
Dmitry Kurtaev	d8e10f3a8d	Enable MaxPooling with indices in Inference Engine	5 years ago
Alexander Alekhin	0dc0bc80ae	dnn(test): fix Vulkan skip test tag	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
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
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

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908 Commits (139c44377032f58849bbab2ae454fcf14e89d762)