70f69cb265
highgui: backends and plugins
4 years ago
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
5ef548a985
cmake: update initialization
5 years ago
ae279966c2
Merge pull request #14660 from YashasSamaga:dnn-cuda-build
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add cuDNN dependency and setup build for cuda4dnn (#14660 )
* update cmake for cuda4dnn
- Adds FindCUDNN
- Adds new options:
* WITH_CUDA
* OPENCV_DNN_CUDA
- Adds CUDA4DNN preprocessor symbol for the DNN module
* FIX: append EXCLUDE_CUDA instead of overwrite
* remove cuDNN dependency for user apps
* fix unused variable warning
6 years ago
913c4151bf
Merge pull request #12725 from alalek:cmake_python_win32
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* cmake: don't ignore Python from PATH environment variable
- this breaks selection between 32/64-bit Python
- this breaks Anaconda/Conda environments
- it is not the CMake default behavior, expected by many projects
* cmake: add Python version check, fallback path on CMake 3.12+
* cmake: drop Python 2.6, allow version selection for Python 3.x
6 years ago
d4688e6474
cmake: require C++11 and CMake 3.5.1+
7 years ago
92f182bc3b
minimal CMake version => 2.8.12.2
8 years ago
112903c2bd
increase minimal supported CUDA toolkit to 6.5
9 years ago
cac1218eef
Build both Python 2 and Python 3 bindings
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If both Python 2 and Python 3 are found, then build bindings for both of
them during the build process. Currently, one version of Python is
detected automatically, and building for the other requires changes the
CMake config.
The largest chunk of this change generalizes OpenCVDetectPython.cmake to
find both a Python 2 and Python 3 version of Python. Secondly, the
opencv_python module is split into two modules, opencv_python2 and
opencv_python3. Both are built from the same source. but for different
versions of Python.
11 years ago
69dc840583
mprove Gtk2/3 options in cmake
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Update to cmake files for to include minimum versions, and tidy up gtk operation.
Files updated:
CMakeLists.txt:
WITH_GTK now uses Gtk3 by default. If not found then Gtk2 is used.
WITH_GTK_2_X forces Gtk2.x use
cmake/OpenCVFindLibsGUI.cmake
Updated selection logic to implement methodology described above.
Implemented warning if Gtk3 not found (and not overridden)
Implemented error if Gtk does not meet minimum required version
cmake/OpenCVMinDepVersions.cmake
Added minimum Gtk version of 2.18.0
11 years ago
49c6533227
Move the minimal CUDA version into the minimal version list.
11 years ago
dbb684b85f
Bumped minimal Python version to 2.6.
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Rationale: we already depend on it (e.g. some scripts use print_function).
11 years ago
9c01a96b14
Set minimal zlib version to 1.2.3.
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Rationale: 1.2.3 was a security update, and we should avoid using
versions with known security vulnerabilities.
11 years ago
a87756e9b3
Bumped minimal CMake version to 2.8.7.
12 years ago
a495bbb967
Added a new file for recording minimal dependency versions.
12 years ago
01570fa800
merged Android Manager and new java layout
13 years ago
952b25f86f
changing 'java' module layout
13 years ago
d5a0088bbe
merged 2.4 into trunk
13 years ago
78ee81c409
Fixed dependency from opencv_nonfree in Java bindings
13 years ago
Alexander Alekhin
Yashas Samaga B L
Alexander Alekhin
Vladislav Vinogradov
Michael Pratt
Tony
Roman Donchenko
Marina Kolpakova