opencv

Commit Graph

Author	SHA1	Message	Date
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
Wu Zhiwen	dae03273cd	dnn: fixup missing vkcom/vulkan combination of backend/target in dnn test	6 years ago
Alexander Alekhin	9ff1c39daa	dnn: fixup available backends/targets	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
WuZhiwen	6e3ea8b49d	Merge pull request #12703 from wzw-intel:vkcom * dnn: Add a Vulkan based backend This commit adds a new backend "DNN_BACKEND_VKCOM" and a new target "DNN_TARGET_VULKAN". VKCOM means vulkan based computation library. This backend uses Vulkan API and SPIR-V shaders to do the inference computation for layers. The layer types that implemented in DNN_BACKEND_VKCOM include: Conv, Concat, ReLU, LRN, PriorBox, Softmax, MaxPooling, AvePooling, Permute This is just a beginning work for Vulkan in OpenCV DNN, more layer types will be supported and performance tuning is on the way. Signed-off-by: Wu Zhiwen <zhiwen.wu@intel.com> * dnn/vulkan: Add FindVulkan.cmake to detect Vulkan SDK In order to build dnn with Vulkan support, need installing Vulkan SDK and setting environment variable "VULKAN_SDK" and add "-DWITH_VULKAN=ON" to cmake command. You can download Vulkan SDK from: https://vulkan.lunarg.com/sdk/home#linux For how to install, see https://vulkan.lunarg.com/doc/sdk/latest/linux/getting_started.html https://vulkan.lunarg.com/doc/sdk/latest/windows/getting_started.html https://vulkan.lunarg.com/doc/sdk/latest/mac/getting_started.html respectively for linux, windows and mac. To run the vulkan backend, also need installing mesa driver. On Ubuntu, use this command 'sudo apt-get install mesa-vulkan-drivers' To test, use command '$BUILD_DIR/bin/opencv_test_dnn --gtest_filter=VkCom' Signed-off-by: Wu Zhiwen <zhiwen.wu@intel.com> * dnn/Vulkan: dynamically load Vulkan runtime No compile-time dependency on Vulkan library. If Vulkan runtime is unavailable, fallback to CPU path. Use environment "OPENCL_VULKAN_RUNTIME" to specify path to your own vulkan runtime library. Signed-off-by: Wu Zhiwen <zhiwen.wu@intel.com> * dnn/Vulkan: Add a python script to compile GLSL shaders to SPIR-V shaders The SPIR-V shaders are in format of text-based 32-bit hexadecimal numbers, and inserted into .cpp files as unsigned int32 array. * dnn/Vulkan: Put Vulkan headers into 3rdparty directory and some other fixes Vulkan header files are copied from https://github.com/KhronosGroup/Vulkan-Docs/tree/master/include/vulkan to 3rdparty/include Fix the Copyright declaration issue. Refine OpenCVDetectVulkan.cmake * dnn/Vulkan: Add vulkan backend tests into existing ones. Also fixed some test failures. - Don't use bool variable as uniform for shader - Fix dispathed group number beyond max issue - Bypass "group > 1" convolution. This should be support in future. * dnn/Vulkan: Fix multiple initialization in one thread.	6 years ago
Alexander Alekhin	e0a5824028	dnn(test): test at least CPU code path	6 years ago
Alexander Alekhin	fdaeb20253	dnn(test): run DL IE tests on Intel OpenCL devices only	6 years ago
Alexander Alekhin	2cf34c0fe5	dnn: fix tests build with disabled OpenCL	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	b11e22c25b	Update Inference Engine tests	6 years ago
Alexander Alekhin	6816495bee	dnn(test): reuse test/test_common.hpp, eliminate dead code warning	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
Dmitry Kurtaev	3b4a292ca9	Let switch CPU/OpenCL targets for models from Intel's Model Optimizer	7 years ago
David Geldreich	f723cede2e	add loading TensorFlow/Caffe net from memory buffer add a corresponding test	7 years ago
Alexander Alekhin	93729784bb	dnn: move module from opencv_contrib `e6f63c7a38/modules/dnn`	8 years ago
Amro	39954cc6af	generalize number of channels plus minor edits and fixes	8 years ago
Ilya Lavrenov	37789f015a	deleted excess semicolons, commas	11 years ago
Fedor Morozov	e15eabe3fa	Ghostbusters	11 years ago
Fedor Morozov	833f8d16fa	Robertson and tutorial	11 years ago
Fedor Morozov	17609b90c7	Mantiuk's tonemapping	11 years ago
Alexander Shishkov	6df203c449	Fixes for Linux compilation, small changes	11 years ago
Fedor Morozov	302bf23f82	All hdr functions as Algorithms	11 years ago
Vadim Pisarevsky	127d6649a1	"atomic bomb" commit. Reorganized OpenCV directory structure	15 years ago

2 Commits (f351653589d823ab3234469cbaa285168dffedaa)