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https://github.com/opencv/opencv.git
synced 2025-01-18 14:13:15 +08:00
fix precompiled headers usage in gpu module
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@ -769,8 +769,9 @@ if(HAVE_CUDA)
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status("")
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status(" NVIDIA CUDA")
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status(" Use CUFFT:" HAVE_CUFFT THEN YES ELSE NO)
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status(" Use CUBLAS:" HAVE_CUBLAS THEN YES ELSE NO)
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status(" Use CUFFT:" HAVE_CUFFT THEN YES ELSE NO)
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status(" Use CUBLAS:" HAVE_CUBLAS THEN YES ELSE NO)
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status(" USE NVCUVID:" HAVE_NVCUVID THEN YES ELSE NO)
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status(" NVIDIA GPU arch:" ${OPENCV_CUDA_ARCH_BIN})
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status(" NVIDIA PTX archs:" ${OPENCV_CUDA_ARCH_PTX})
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status(" Use fast math:" CUDA_FAST_MATH THEN YES ELSE NO)
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@ -5,7 +5,7 @@ endif()
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set(the_description "GPU-accelerated Computer Vision")
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ocv_add_module(gpu opencv_imgproc opencv_calib3d opencv_objdetect opencv_video opencv_nonfree opencv_photo opencv_legacy)
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ocv_module_include_directories("${CMAKE_CURRENT_SOURCE_DIR}/src/cuda" "${CMAKE_CURRENT_SOURCE_DIR}/../highgui/src")
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ocv_module_include_directories("${CMAKE_CURRENT_SOURCE_DIR}/src/cuda")
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file(GLOB lib_hdrs "include/opencv2/${name}/*.hpp" "include/opencv2/${name}/*.h")
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file(GLOB lib_device_hdrs "include/opencv2/${name}/device/*.hpp" "include/opencv2/${name}/device/*.h")
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@ -45,9 +45,9 @@
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#if defined(HAVE_CUDA) && defined(HAVE_NVCUVID)
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#if defined(HAVE_FFMPEG) && defined(BUILD_SHARED_LIBS)
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#include "cap_ffmpeg_impl.hpp"
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#include "../src/cap_ffmpeg_impl.hpp"
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#else
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#include "cap_ffmpeg_api.hpp"
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#include "../src/cap_ffmpeg_api.hpp"
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#endif
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namespace
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@ -40,7 +40,7 @@
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//
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//M*/
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#include <precomp.hpp>
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#include "precomp.hpp"
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namespace cv { namespace gpu
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{
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@ -40,7 +40,7 @@
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//
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//M*/
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#include <precomp.hpp>
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#include "precomp.hpp"
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#if !defined (HAVE_CUDA)
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cv::gpu::SCascade::SCascade(const double, const double, const int, const int) { throw_nogpu(); }
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@ -60,7 +60,7 @@ cv::Ptr<cv::gpu::ChannelsProcessor> cv::gpu::ChannelsProcessor::create(const int
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{ throw_nogpu(); return cv::Ptr<cv::gpu::ChannelsProcessor>(0); }
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#else
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# include <icf.hpp>
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# include "icf.hpp"
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cv::gpu::device::icf::Level::Level(int idx, const Octave& oct, const float scale, const int w, const int h)
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: octave(idx), step(oct.stages), relScale(scale / oct.scale)
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@ -95,14 +95,6 @@ namespace icf {
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void shrink(const cv::gpu::PtrStepSzb& channels, cv::gpu::PtrStepSzb shrunk);
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}
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// namespace imgproc {
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// void shfl_integral_gpu_buffered(PtrStepSzb, PtrStepSz<uint4>, PtrStepSz<unsigned int>, int, cudaStream_t);
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// template <typename T>
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// void resize_gpu(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy,
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// PtrStepSzb dst, int interpolation, cudaStream_t stream);
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// }
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}}}
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struct cv::gpu::SCascade::Fields
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@ -40,7 +40,7 @@
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//
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//M*/
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#include <precomp.hpp>
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#include "precomp.hpp"
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cv::SCascade::Channels::Channels(int shr) : shrinkage(shr) {}
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@ -40,7 +40,7 @@
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//
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//M*/
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#include <precomp.hpp>
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#include "precomp.hpp"
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namespace cv
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{
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@ -40,7 +40,7 @@
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//
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//M*/
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#include <precomp.hpp>
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#include "precomp.hpp"
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namespace {
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@ -568,11 +568,11 @@ void cv::SCascade::detect(InputArray _image, InputArray _rois, OutputArray _rec
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std::vector<Detection> objects;
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detect( _image, _rois, objects);
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_rects.create(1, objects.size(), CV_32SC4);
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_rects.create(1, (int)objects.size(), CV_32SC4);
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cv::Mat_<cv::Rect> rects = (cv::Mat_<cv::Rect>)_rects.getMat();
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cv::Rect* rectPtr = rects.ptr<cv::Rect>(0);
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_confs.create(1, objects.size(), CV_32F);
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_confs.create(1, (int)objects.size(), CV_32F);
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cv::Mat confs = _confs.getMat();
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float* confPtr = rects.ptr<float>(0);
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