mirror of
https://github.com/opencv/opencv.git
synced 2024-11-24 19:20:28 +08:00
641 lines
22 KiB
C++
641 lines
22 KiB
C++
#if _MSC_VER >= 1400
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#pragma warning( disable : 4201 4408 4127 4100)
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#endif
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#include <iostream>
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#include <iomanip>
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#include <memory>
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#include <exception>
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#include <ctime>
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#include "cvconfig.h"
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#include <iostream>
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#include <iomanip>
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#include "opencv2/opencv.hpp"
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#include "opencv2/gpu/gpu.hpp"
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#ifdef HAVE_CUDA
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#include "NPP_staging/NPP_staging.hpp"
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#include "NCVBroxOpticalFlow.hpp"
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#endif
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#if !defined(HAVE_CUDA)
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int main( int argc, const char** argv )
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{
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std::cout << "Please compile the library with CUDA support" << std::endl;
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return -1;
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}
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#else
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//using std::tr1::shared_ptr;
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using cv::Ptr;
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#define PARAM_INPUT "--input"
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#define PARAM_SCALE "--scale"
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#define PARAM_ALPHA "--alpha"
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#define PARAM_GAMMA "--gamma"
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#define PARAM_INNER "--inner"
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#define PARAM_OUTER "--outer"
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#define PARAM_SOLVER "--solver"
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#define PARAM_TIME_STEP "--time-step"
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#define PARAM_HELP "--help"
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Ptr<INCVMemAllocator> g_pGPUMemAllocator;
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Ptr<INCVMemAllocator> g_pHostMemAllocator;
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class RgbToMonochrome
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{
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public:
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float operator ()(unsigned char b, unsigned char g, unsigned char r)
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{
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float _r = static_cast<float>(r)/255.0f;
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float _g = static_cast<float>(g)/255.0f;
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float _b = static_cast<float>(b)/255.0f;
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return (_r + _g + _b)/3.0f;
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}
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};
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class RgbToR
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{
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public:
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float operator ()(unsigned char b, unsigned char g, unsigned char r)
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{
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return static_cast<float>(r)/255.0f;
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}
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};
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class RgbToG
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{
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public:
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float operator ()(unsigned char b, unsigned char g, unsigned char r)
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{
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return static_cast<float>(g)/255.0f;
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}
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};
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class RgbToB
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{
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public:
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float operator ()(unsigned char b, unsigned char g, unsigned char r)
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{
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return static_cast<float>(b)/255.0f;
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}
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};
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template<class T>
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NCVStatus CopyData(IplImage *image, Ptr<NCVMatrixAlloc<Ncv32f> >& dst)
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{
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dst = Ptr<NCVMatrixAlloc<Ncv32f> > (new NCVMatrixAlloc<Ncv32f> (*g_pHostMemAllocator, image->width, image->height));
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ncvAssertReturn (dst->isMemAllocated (), NCV_ALLOCATOR_BAD_ALLOC);
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unsigned char *row = reinterpret_cast<unsigned char*> (image->imageData);
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T convert;
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for (int i = 0; i < image->height; ++i)
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{
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for (int j = 0; j < image->width; ++j)
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{
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if (image->nChannels < 3)
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{
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dst->ptr ()[j + i*dst->stride ()] = static_cast<float> (*(row + j*image->nChannels))/255.0f;
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}
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else
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{
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unsigned char *color = row + j * image->nChannels;
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dst->ptr ()[j +i*dst->stride ()] = convert (color[0], color[1], color[2]);
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}
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}
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row += image->widthStep;
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}
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return NCV_SUCCESS;
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}
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template<class T>
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NCVStatus CopyData(const IplImage *image, const NCVMatrixAlloc<Ncv32f> &dst)
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{
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unsigned char *row = reinterpret_cast<unsigned char*> (image->imageData);
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T convert;
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for (int i = 0; i < image->height; ++i)
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{
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for (int j = 0; j < image->width; ++j)
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{
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if (image->nChannels < 3)
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{
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dst.ptr ()[j + i*dst.stride ()] = static_cast<float>(*(row + j*image->nChannels))/255.0f;
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}
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else
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{
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unsigned char *color = row + j * image->nChannels;
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dst.ptr ()[j +i*dst.stride()] = convert (color[0], color[1], color[2]);
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}
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}
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row += image->widthStep;
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}
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return NCV_SUCCESS;
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}
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NCVStatus LoadImages (const char *frame0Name,
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const char *frame1Name,
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int &width,
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int &height,
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Ptr<NCVMatrixAlloc<Ncv32f> > &src,
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Ptr<NCVMatrixAlloc<Ncv32f> > &dst,
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IplImage *&firstFrame,
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IplImage *&lastFrame)
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{
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IplImage *image;
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image = cvLoadImage (frame0Name);
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if (image == 0)
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{
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std::cout << "Could not open '" << frame0Name << "'\n";
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return NCV_FILE_ERROR;
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}
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firstFrame = image;
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// copy data to src
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ncvAssertReturnNcvStat (CopyData<RgbToMonochrome> (image, src));
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IplImage *image2;
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image2 = cvLoadImage (frame1Name);
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if (image2 == 0)
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{
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std::cout << "Could not open '" << frame1Name << "'\n";
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return NCV_FILE_ERROR;
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}
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lastFrame = image2;
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ncvAssertReturnNcvStat (CopyData<RgbToMonochrome> (image2, dst));
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width = image->width;
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height = image->height;
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return NCV_SUCCESS;
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}
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template<typename T>
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inline T Clamp (T x, T a, T b)
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{
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return ((x) > (a) ? ((x) < (b) ? (x) : (b)) : (a));
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}
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template<typename T>
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inline T MapValue (T x, T a, T b, T c, T d)
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{
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x = Clamp (x, a, b);
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return c + (d - c) * (x - a) / (b - a);
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}
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NCVStatus ShowFlow (NCVMatrixAlloc<Ncv32f> &u, NCVMatrixAlloc<Ncv32f> &v, const char *name)
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{
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IplImage *flowField;
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NCVMatrixAlloc<Ncv32f> host_u(*g_pHostMemAllocator, u.width(), u.height());
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ncvAssertReturn(host_u.isMemAllocated(), NCV_ALLOCATOR_BAD_ALLOC);
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NCVMatrixAlloc<Ncv32f> host_v (*g_pHostMemAllocator, u.width (), u.height ());
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ncvAssertReturn (host_v.isMemAllocated (), NCV_ALLOCATOR_BAD_ALLOC);
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ncvAssertReturnNcvStat (u.copySolid (host_u, 0));
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ncvAssertReturnNcvStat (v.copySolid (host_v, 0));
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float *ptr_u = host_u.ptr ();
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float *ptr_v = host_v.ptr ();
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float maxDisplacement = 1.0f;
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for (Ncv32u i = 0; i < u.height (); ++i)
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{
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for (Ncv32u j = 0; j < u.width (); ++j)
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{
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float d = std::max ( fabsf(*ptr_u), fabsf(*ptr_v) );
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if (d > maxDisplacement) maxDisplacement = d;
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++ptr_u;
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++ptr_v;
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}
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ptr_u += u.stride () - u.width ();
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ptr_v += v.stride () - v.width ();
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}
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CvSize image_size = cvSize (u.width (), u.height ());
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flowField = cvCreateImage (image_size, IPL_DEPTH_8U, 4);
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if (flowField == 0) return NCV_NULL_PTR;
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unsigned char *row = reinterpret_cast<unsigned char *> (flowField->imageData);
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ptr_u = host_u.ptr();
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ptr_v = host_v.ptr();
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for (int i = 0; i < flowField->height; ++i)
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{
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for (int j = 0; j < flowField->width; ++j)
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{
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(row + j * flowField->nChannels)[0] = 0;
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(row + j * flowField->nChannels)[1] = static_cast<unsigned char> (MapValue (-(*ptr_v), -maxDisplacement, maxDisplacement, 0.0f, 255.0f));
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(row + j * flowField->nChannels)[2] = static_cast<unsigned char> (MapValue (*ptr_u , -maxDisplacement, maxDisplacement, 0.0f, 255.0f));
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(row + j * flowField->nChannels)[3] = 255;
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++ptr_u;
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++ptr_v;
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}
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row += flowField->widthStep;
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ptr_u += u.stride () - u.width ();
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ptr_v += v.stride () - v.width ();
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}
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cvShowImage (name, flowField);
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return NCV_SUCCESS;
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}
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IplImage *CreateImage (NCVMatrixAlloc<Ncv32f> &h_r, NCVMatrixAlloc<Ncv32f> &h_g, NCVMatrixAlloc<Ncv32f> &h_b)
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{
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CvSize imageSize = cvSize (h_r.width (), h_r.height ());
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IplImage *image = cvCreateImage (imageSize, IPL_DEPTH_8U, 4);
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if (image == 0) return 0;
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unsigned char *row = reinterpret_cast<unsigned char*> (image->imageData);
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for (int i = 0; i < image->height; ++i)
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{
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for (int j = 0; j < image->width; ++j)
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{
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int offset = j * image->nChannels;
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int pos = i * h_r.stride () + j;
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row[offset + 0] = static_cast<unsigned char> (h_b.ptr ()[pos] * 255.0f);
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row[offset + 1] = static_cast<unsigned char> (h_g.ptr ()[pos] * 255.0f);
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row[offset + 2] = static_cast<unsigned char> (h_r.ptr ()[pos] * 255.0f);
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row[offset + 3] = 255;
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}
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row += image->widthStep;
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}
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return image;
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}
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void PrintHelp ()
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{
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std::cout << "Usage help:\n";
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std::cout << std::setiosflags(std::ios::left);
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std::cout << "\t" << std::setw(15) << PARAM_ALPHA << " - set alpha\n";
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std::cout << "\t" << std::setw(15) << PARAM_GAMMA << " - set gamma\n";
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std::cout << "\t" << std::setw(15) << PARAM_INNER << " - set number of inner iterations\n";
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std::cout << "\t" << std::setw(15) << PARAM_INPUT << " - specify input file names (2 image files)\n";
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std::cout << "\t" << std::setw(15) << PARAM_OUTER << " - set number of outer iterations\n";
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std::cout << "\t" << std::setw(15) << PARAM_SCALE << " - set pyramid scale factor\n";
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std::cout << "\t" << std::setw(15) << PARAM_SOLVER << " - set number of basic solver iterations\n";
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std::cout << "\t" << std::setw(15) << PARAM_TIME_STEP << " - set frame interpolation time step\n";
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std::cout << "\t" << std::setw(15) << PARAM_HELP << " - display this help message\n";
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}
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int ProcessCommandLine(int argc, char **argv,
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Ncv32f &timeStep,
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char *&frame0Name,
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char *&frame1Name,
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NCVBroxOpticalFlowDescriptor &desc)
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{
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timeStep = 0.25f;
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for (int iarg = 1; iarg < argc; ++iarg)
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{
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if (strcmp(argv[iarg], PARAM_INPUT) == 0)
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{
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if (iarg + 2 < argc)
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{
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frame0Name = argv[++iarg];
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frame1Name = argv[++iarg];
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}
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else
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return -1;
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}
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else if(strcmp(argv[iarg], PARAM_SCALE) == 0)
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{
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if (iarg + 1 < argc)
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desc.scale_factor = static_cast<Ncv32f>(atof(argv[++iarg]));
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else
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return -1;
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}
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else if(strcmp(argv[iarg], PARAM_ALPHA) == 0)
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{
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if (iarg + 1 < argc)
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desc.alpha = static_cast<Ncv32f>(atof(argv[++iarg]));
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else
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return -1;
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}
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else if(strcmp(argv[iarg], PARAM_GAMMA) == 0)
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{
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if (iarg + 1 < argc)
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desc.gamma = static_cast<Ncv32f>(atof(argv[++iarg]));
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else
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return -1;
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}
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else if(strcmp(argv[iarg], PARAM_INNER) == 0)
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{
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if (iarg + 1 < argc)
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desc.number_of_inner_iterations = static_cast<Ncv32u>(atoi(argv[++iarg]));
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else
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return -1;
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}
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else if(strcmp(argv[iarg], PARAM_OUTER) == 0)
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{
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if (iarg + 1 < argc)
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desc.number_of_outer_iterations = static_cast<Ncv32u>(atoi(argv[++iarg]));
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else
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return -1;
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}
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else if(strcmp(argv[iarg], PARAM_SOLVER) == 0)
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{
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if (iarg + 1 < argc)
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desc.number_of_solver_iterations = static_cast<Ncv32u>(atoi(argv[++iarg]));
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else
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return -1;
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}
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else if(strcmp(argv[iarg], PARAM_TIME_STEP) == 0)
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{
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if (iarg + 1 < argc)
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timeStep = static_cast<Ncv32f>(atof(argv[++iarg]));
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else
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return -1;
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}
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else if(strcmp(argv[iarg], PARAM_HELP) == 0)
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{
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PrintHelp ();
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return 0;
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}
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}
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return 0;
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}
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int main(int argc, char **argv)
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{
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char *frame0Name = 0, *frame1Name = 0;
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Ncv32f timeStep = 0.01f;
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NCVBroxOpticalFlowDescriptor desc;
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desc.alpha = 0.197f;
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desc.gamma = 50.0f;
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desc.number_of_inner_iterations = 10;
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desc.number_of_outer_iterations = 77;
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desc.number_of_solver_iterations = 10;
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desc.scale_factor = 0.8f;
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int result = ProcessCommandLine (argc, argv, timeStep, frame0Name, frame1Name, desc);
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if (argc == 1 || result)
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{
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PrintHelp();
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return result;
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}
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std::cout << "OpenCV / NVIDIA Computer Vision\n";
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std::cout << "Optical Flow Demo: Frame Interpolation\n";
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std::cout << "=========================================\n";
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std::cout << "Press:\n ESC to quit\n 'a' to move to the previous frame\n 's' to move to the next frame\n";
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int devId;
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ncvAssertCUDAReturn(cudaGetDevice(&devId), -1);
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cudaDeviceProp devProp;
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ncvAssertCUDAReturn(cudaGetDeviceProperties(&devProp, devId), -1);
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std::cout << "Using GPU: " << devId << "(" << devProp.name <<
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"), arch=" << devProp.major << "." << devProp.minor << std::endl;
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g_pGPUMemAllocator = Ptr<INCVMemAllocator> (new NCVMemNativeAllocator (NCVMemoryTypeDevice, devProp.textureAlignment));
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ncvAssertPrintReturn (g_pGPUMemAllocator->isInitialized (), "Device memory allocator isn't initialized", -1);
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g_pHostMemAllocator = Ptr<INCVMemAllocator> (new NCVMemNativeAllocator (NCVMemoryTypeHostPageable, devProp.textureAlignment));
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ncvAssertPrintReturn (g_pHostMemAllocator->isInitialized (), "Host memory allocator isn't initialized", -1);
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int width, height;
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Ptr<NCVMatrixAlloc<Ncv32f> > src_host;
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Ptr<NCVMatrixAlloc<Ncv32f> > dst_host;
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IplImage *firstFrame, *lastFrame;
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if (frame0Name != 0 && frame1Name != 0)
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{
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ncvAssertReturnNcvStat (LoadImages (frame0Name, frame1Name, width, height, src_host, dst_host, firstFrame, lastFrame));
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}
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else
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{
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ncvAssertReturnNcvStat (LoadImages ("frame10.bmp", "frame11.bmp", width, height, src_host, dst_host, firstFrame, lastFrame));
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}
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Ptr<NCVMatrixAlloc<Ncv32f> > src (new NCVMatrixAlloc<Ncv32f> (*g_pGPUMemAllocator, src_host->width (), src_host->height ()));
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ncvAssertReturn(src->isMemAllocated(), -1);
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Ptr<NCVMatrixAlloc<Ncv32f> > dst (new NCVMatrixAlloc<Ncv32f> (*g_pGPUMemAllocator, src_host->width (), src_host->height ()));
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ncvAssertReturn (dst->isMemAllocated (), -1);
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ncvAssertReturnNcvStat (src_host->copySolid ( *src, 0 ));
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ncvAssertReturnNcvStat (dst_host->copySolid ( *dst, 0 ));
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#if defined SAFE_MAT_DECL
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#undef SAFE_MAT_DECL
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#endif
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#define SAFE_MAT_DECL(name, allocator, sx, sy) \
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NCVMatrixAlloc<Ncv32f> name(*allocator, sx, sy);\
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ncvAssertReturn(name.isMemAllocated(), -1);
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SAFE_MAT_DECL (u, g_pGPUMemAllocator, width, height);
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SAFE_MAT_DECL (v, g_pGPUMemAllocator, width, height);
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SAFE_MAT_DECL (uBck, g_pGPUMemAllocator, width, height);
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SAFE_MAT_DECL (vBck, g_pGPUMemAllocator, width, height);
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SAFE_MAT_DECL (h_r, g_pHostMemAllocator, width, height);
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SAFE_MAT_DECL (h_g, g_pHostMemAllocator, width, height);
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SAFE_MAT_DECL (h_b, g_pHostMemAllocator, width, height);
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std::cout << "Estimating optical flow\nForward...\n";
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if (NCV_SUCCESS != NCVBroxOpticalFlow (desc, *g_pGPUMemAllocator, *src, *dst, u, v, 0))
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{
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std::cout << "Failed\n";
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return -1;
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}
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std::cout << "Backward...\n";
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if (NCV_SUCCESS != NCVBroxOpticalFlow (desc, *g_pGPUMemAllocator, *dst, *src, uBck, vBck, 0))
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{
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std::cout << "Failed\n";
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return -1;
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}
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// matrix for temporary data
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SAFE_MAT_DECL (d_temp, g_pGPUMemAllocator, width, height);
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// first frame color components (GPU memory)
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SAFE_MAT_DECL (d_r, g_pGPUMemAllocator, width, height);
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SAFE_MAT_DECL (d_g, g_pGPUMemAllocator, width, height);
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SAFE_MAT_DECL (d_b, g_pGPUMemAllocator, width, height);
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// second frame color components (GPU memory)
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SAFE_MAT_DECL (d_rt, g_pGPUMemAllocator, width, height);
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SAFE_MAT_DECL (d_gt, g_pGPUMemAllocator, width, height);
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SAFE_MAT_DECL (d_bt, g_pGPUMemAllocator, width, height);
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// intermediate frame color components (GPU memory)
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SAFE_MAT_DECL (d_rNew, g_pGPUMemAllocator, width, height);
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SAFE_MAT_DECL (d_gNew, g_pGPUMemAllocator, width, height);
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SAFE_MAT_DECL (d_bNew, g_pGPUMemAllocator, width, height);
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// interpolated forward flow
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SAFE_MAT_DECL (ui, g_pGPUMemAllocator, width, height);
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SAFE_MAT_DECL (vi, g_pGPUMemAllocator, width, height);
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// interpolated backward flow
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SAFE_MAT_DECL (ubi, g_pGPUMemAllocator, width, height);
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SAFE_MAT_DECL (vbi, g_pGPUMemAllocator, width, height);
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// occlusion masks
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SAFE_MAT_DECL (occ0, g_pGPUMemAllocator, width, height);
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SAFE_MAT_DECL (occ1, g_pGPUMemAllocator, width, height);
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|
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// prepare color components on host and copy them to device memory
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ncvAssertReturnNcvStat (CopyData<RgbToR> (firstFrame, h_r));
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ncvAssertReturnNcvStat (CopyData<RgbToG> (firstFrame, h_g));
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ncvAssertReturnNcvStat (CopyData<RgbToB> (firstFrame, h_b));
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ncvAssertReturnNcvStat (h_r.copySolid ( d_r, 0 ));
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ncvAssertReturnNcvStat (h_g.copySolid ( d_g, 0 ));
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ncvAssertReturnNcvStat (h_b.copySolid ( d_b, 0 ));
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|
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ncvAssertReturnNcvStat (CopyData<RgbToR> (lastFrame, h_r));
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ncvAssertReturnNcvStat (CopyData<RgbToG> (lastFrame, h_g));
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ncvAssertReturnNcvStat (CopyData<RgbToB> (lastFrame, h_b));
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ncvAssertReturnNcvStat (h_r.copySolid ( d_rt, 0 ));
|
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ncvAssertReturnNcvStat (h_g.copySolid ( d_gt, 0 ));
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ncvAssertReturnNcvStat (h_b.copySolid ( d_bt, 0 ));
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std::cout << "Interpolating...\n";
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|
std::cout.precision (4);
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std::vector<IplImage*> frames;
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frames.push_back (firstFrame);
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|
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// compute interpolated frames
|
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for (Ncv32f timePos = timeStep; timePos < 1.0f; timePos += timeStep)
|
|
{
|
|
ncvAssertCUDAReturn (cudaMemset (ui.ptr (), 0, ui.pitch () * ui.height ()), NCV_CUDA_ERROR);
|
|
ncvAssertCUDAReturn (cudaMemset (vi.ptr (), 0, vi.pitch () * vi.height ()), NCV_CUDA_ERROR);
|
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|
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ncvAssertCUDAReturn (cudaMemset (ubi.ptr (), 0, ubi.pitch () * ubi.height ()), NCV_CUDA_ERROR);
|
|
ncvAssertCUDAReturn (cudaMemset (vbi.ptr (), 0, vbi.pitch () * vbi.height ()), NCV_CUDA_ERROR);
|
|
|
|
ncvAssertCUDAReturn (cudaMemset (occ0.ptr (), 0, occ0.pitch () * occ0.height ()), NCV_CUDA_ERROR);
|
|
ncvAssertCUDAReturn (cudaMemset (occ1.ptr (), 0, occ1.pitch () * occ1.height ()), NCV_CUDA_ERROR);
|
|
|
|
NppStInterpolationState state;
|
|
// interpolation state should be filled once except pSrcFrame0, pSrcFrame1, and pNewFrame
|
|
// we will only need to reset buffers content to 0 since interpolator doesn't do this itself
|
|
state.size = NcvSize32u (width, height);
|
|
state.nStep = d_r.pitch ();
|
|
state.pSrcFrame0 = d_r.ptr ();
|
|
state.pSrcFrame1 = d_rt.ptr ();
|
|
state.pFU = u.ptr ();
|
|
state.pFV = v.ptr ();
|
|
state.pBU = uBck.ptr ();
|
|
state.pBV = vBck.ptr ();
|
|
state.pos = timePos;
|
|
state.pNewFrame = d_rNew.ptr ();
|
|
state.ppBuffers[0] = occ0.ptr ();
|
|
state.ppBuffers[1] = occ1.ptr ();
|
|
state.ppBuffers[2] = ui.ptr ();
|
|
state.ppBuffers[3] = vi.ptr ();
|
|
state.ppBuffers[4] = ubi.ptr ();
|
|
state.ppBuffers[5] = vbi.ptr ();
|
|
|
|
// interpolate red channel
|
|
nppiStInterpolateFrames (&state);
|
|
|
|
// reset buffers
|
|
ncvAssertCUDAReturn (cudaMemset (ui.ptr (), 0, ui.pitch () * ui.height ()), NCV_CUDA_ERROR);
|
|
ncvAssertCUDAReturn (cudaMemset (vi.ptr (), 0, vi.pitch () * vi.height ()), NCV_CUDA_ERROR);
|
|
|
|
ncvAssertCUDAReturn (cudaMemset (ubi.ptr (), 0, ubi.pitch () * ubi.height ()), NCV_CUDA_ERROR);
|
|
ncvAssertCUDAReturn (cudaMemset (vbi.ptr (), 0, vbi.pitch () * vbi.height ()), NCV_CUDA_ERROR);
|
|
|
|
ncvAssertCUDAReturn (cudaMemset (occ0.ptr (), 0, occ0.pitch () * occ0.height ()), NCV_CUDA_ERROR);
|
|
ncvAssertCUDAReturn (cudaMemset (occ1.ptr (), 0, occ1.pitch () * occ1.height ()), NCV_CUDA_ERROR);
|
|
|
|
// interpolate green channel
|
|
state.pSrcFrame0 = d_g.ptr ();
|
|
state.pSrcFrame1 = d_gt.ptr ();
|
|
state.pNewFrame = d_gNew.ptr ();
|
|
|
|
nppiStInterpolateFrames (&state);
|
|
|
|
// reset buffers
|
|
ncvAssertCUDAReturn (cudaMemset (ui.ptr (), 0, ui.pitch () * ui.height ()), NCV_CUDA_ERROR);
|
|
ncvAssertCUDAReturn (cudaMemset (vi.ptr (), 0, vi.pitch () * vi.height ()), NCV_CUDA_ERROR);
|
|
|
|
ncvAssertCUDAReturn (cudaMemset (ubi.ptr (), 0, ubi.pitch () * ubi.height ()), NCV_CUDA_ERROR);
|
|
ncvAssertCUDAReturn (cudaMemset (vbi.ptr (), 0, vbi.pitch () * vbi.height ()), NCV_CUDA_ERROR);
|
|
|
|
ncvAssertCUDAReturn (cudaMemset (occ0.ptr (), 0, occ0.pitch () * occ0.height ()), NCV_CUDA_ERROR);
|
|
ncvAssertCUDAReturn (cudaMemset (occ1.ptr (), 0, occ1.pitch () * occ1.height ()), NCV_CUDA_ERROR);
|
|
|
|
// interpolate blue channel
|
|
state.pSrcFrame0 = d_b.ptr ();
|
|
state.pSrcFrame1 = d_bt.ptr ();
|
|
state.pNewFrame = d_bNew.ptr ();
|
|
|
|
nppiStInterpolateFrames (&state);
|
|
|
|
// copy to host memory
|
|
ncvAssertReturnNcvStat (d_rNew.copySolid (h_r, 0));
|
|
ncvAssertReturnNcvStat (d_gNew.copySolid (h_g, 0));
|
|
ncvAssertReturnNcvStat (d_bNew.copySolid (h_b, 0));
|
|
|
|
// convert to IplImage
|
|
IplImage *newFrame = CreateImage (h_r, h_g, h_b);
|
|
if (newFrame == 0)
|
|
{
|
|
std::cout << "Could not create new frame in host memory\n";
|
|
break;
|
|
}
|
|
frames.push_back (newFrame);
|
|
std::cout << timePos * 100.0f << "%\r";
|
|
}
|
|
std::cout << std::setw (5) << "100%\n";
|
|
|
|
frames.push_back (lastFrame);
|
|
|
|
Ncv32u currentFrame;
|
|
currentFrame = 0;
|
|
|
|
ShowFlow (u, v, "Forward flow");
|
|
ShowFlow (uBck, vBck, "Backward flow");
|
|
|
|
cvShowImage ("Interpolated frame", frames[currentFrame]);
|
|
|
|
bool qPressed = false;
|
|
while ( !qPressed )
|
|
{
|
|
int key = toupper (cvWaitKey (10));
|
|
switch (key)
|
|
{
|
|
case 27:
|
|
qPressed = true;
|
|
break;
|
|
case 'A':
|
|
if (currentFrame > 0) --currentFrame;
|
|
cvShowImage ("Interpolated frame", frames[currentFrame]);
|
|
break;
|
|
case 'S':
|
|
if (currentFrame < frames.size()-1) ++currentFrame;
|
|
cvShowImage ("Interpolated frame", frames[currentFrame]);
|
|
break;
|
|
}
|
|
}
|
|
|
|
cvDestroyAllWindows ();
|
|
|
|
std::vector<IplImage*>::iterator iter;
|
|
for (iter = frames.begin (); iter != frames.end (); ++iter)
|
|
{
|
|
cvReleaseImage (&(*iter));
|
|
}
|
|
|
|
return 0;
|
|
}
|
|
|
|
#endif
|