Alexander Alekhin
985aa0423d
dnn(test): update InferenceEngine tests
3 years ago
Alexander Alekhin
6797fd65a5
dnn(test): update tests for OpenVINO 2021.4
3 years ago
Alexander Alekhin
d84a9484b7
dnn: fix build with Halide, skip tests with crashes
4 years ago
YashasSamaga
0f8ab0557e
enable fusion tests, update thresholds and fix missed eltwise fusions
4 years ago
Alexander Alekhin
1c371d07b5
dnn(test): adjust tests for OpenVINO 2020.4
4 years ago
Dmitry Kurtaev
d8dea7896b
Merge pull request #16628 from dkurt:dnn_ngraph_custom_layers
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* Custom layers with nGraph
* nGraph: multiple outputs from nodes
5 years ago
Alexander Alekhin
8ecfb59930
dnn(test): skip failed ngraph tests
5 years ago
Dmitry Kurtaev
8f1e36f7c1
Disable some tests for Myriad target of nGraph
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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
Yashas Samaga B L
1fac1421e5
Merge pull request #16010 from YashasSamaga:cuda4dnn-fp16-tests
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* 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
Lubov Batanina
7523c777c5
Merge pull request #15537 from l-bat:ngraph
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* Support nGraph
* Fix resize
5 years ago
Yashas Samaga B L
613c12e590
Merge pull request #14827 from YashasSamaga:cuda4dnn-csl-low
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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
77d4e3e8d2
Fix 2019R2 tests
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
Dmitry Kurtaev
75f4c1abf2
Enable some tests for Inference Engine backend
6 years ago
Alexander Alekhin
894f208de3
dnn(test): replace SkipTestException with tags
6 years ago
Alexander Alekhin
13a782c039
test: fix usage of findDataFile()
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misused 'optional' mode
6 years ago
Dmitry Kurtaev
eba696a41e
Merge pull request #14792 from dkurt:dnn_ie_min_version_r5
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* Remove Inference Engine 2018R3 and 2018R4
* Fix 2018R5
6 years ago
Dmitry Kurtaev
9c0af1f675
Enable more deconvolution layer configurations with IE backend
6 years ago
Alexander Alekhin
38a3c1ce6b
dnn(test): update test tags for Debug build
6 years ago
Dmitry Kurtaev
44d21e5a79
Enable Slice layer on Inference Engine backend
6 years ago
Dmitry Kurtaev
6389dfe49c
Fixed DetectionOutput output blob shape
6 years ago
Dmitry Kurtaev
4f6be11c0e
Check if Inference Engine networks are fully supported by backend
6 years ago
Dmitry Kurtaev
a2bbfa1db5
Enable some tests for Inference Engine 2019R1
6 years ago
Alexander Alekhin
e0841f3d6e
dnn(test-tags): add time / memory tags
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
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* 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
Alexander Nesterov
74574dfae4
Added optimization fuse
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
Liubov Batanina
6b4becfd03
Enabled tests on IE backend
6 years ago
Alexander Nesterov
9cbdb48d6d
Fix change step
6 years ago
Dmitry Kurtaev
f0ddf302b2
Move Inference Engine to new API
6 years ago
Dmitry Kurtaev
59ce1d80a5
Fix dnn tests for Inference Engine R5
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
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DNN backends registry (#13332 )
* Added dnn backends registry
* dnn: process DLIE/FPGA target
6 years ago
Dmitry Kurtaev
84ce2cc211
Enable some dnn tests according to the new Intel's Inference Engine release (R4)
6 years ago
Dmitry Kurtaev
2f6f52d644
Fix ONNX's emotion_ferplus model.
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Reduce input size for OpenPose tests
6 years ago
Dmitry Kurtaev
b5c54e447c
Extra hyperparameters for Intel's Inference Engine layers
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
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* 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
Dmitry Kurtaev
50bceea038
Include preprocessing nodes to object detection TensorFlow networks ( #12211 )
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* Include preprocessing nodes to object detection TensorFlow networks
* Enable more fusion
* faster_rcnn_resnet50_coco_2018_01_28 test
6 years ago
Alexander Alekhin
c557193b8c
dnn(test): use dnnBackendsAndTargets() param generator
6 years ago
Dmitry Kurtaev
3e027df583
Enable more deep learning tests using Intel's Inference Engine backend
6 years ago
Dmitry Kurtaev
ed0e79cb61
Add missing parameter to DetectionOutput layer from Intel's Inference Engine
6 years ago
Alexander Alekhin
452fa3011c
dnn(test): drop CV_ENUM for DNNBackend / DNNTarget
7 years ago
Dmitry Kurtaev
019c2f2115
Enable more deep learning tests
7 years ago
Dmitry Kurtaev
b11e22c25b
Update Inference Engine tests
7 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