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move buildWarp*Maps to stitching

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This commit is contained in:
Vladislav Vinogradov
2014-12-24 16:06:09 +03:00
parent 4cc7b0a74f
commit ecee388236
8 changed files with 288 additions and 306 deletions
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221
modules/stitching/src/cuda/build_warp_maps.cu Normal file
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@@ -0,0 +1,221 @@
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#if !defined CUDA_DISABLER
#include "opencv2/core/cuda/common.hpp"
#include "opencv2/core/cuda/vec_traits.hpp"
#include "opencv2/core/cuda/vec_math.hpp"
#include "opencv2/core/cuda/saturate_cast.hpp"
#include "opencv2/core/cuda/border_interpolate.hpp"
namespace cv { namespace cuda { namespace device
{
namespace imgproc
{
// TODO use intrinsics like __sinf and so on
namespace build_warp_maps
{
__constant__ float ck_rinv[9];
__constant__ float cr_kinv[9];
__constant__ float ct[3];
__constant__ float cscale;
}
class PlaneMapper
{
public:
static __device__ __forceinline__ void mapBackward(float u, float v, float &x, float &y)
{
using namespace build_warp_maps;
float x_ = u / cscale - ct[0];
float y_ = v / cscale - ct[1];
float z;
x = ck_rinv[0] * x_ + ck_rinv[1] * y_ + ck_rinv[2] * (1 - ct[2]);
y = ck_rinv[3] * x_ + ck_rinv[4] * y_ + ck_rinv[5] * (1 - ct[2]);
z = ck_rinv[6] * x_ + ck_rinv[7] * y_ + ck_rinv[8] * (1 - ct[2]);
x /= z;
y /= z;
}
};
class CylindricalMapper
{
public:
static __device__ __forceinline__ void mapBackward(float u, float v, float &x, float &y)
{
using namespace build_warp_maps;
u /= cscale;
float x_ = ::sinf(u);
float y_ = v / cscale;
float z_ = ::cosf(u);
float z;
x = ck_rinv[0] * x_ + ck_rinv[1] * y_ + ck_rinv[2] * z_;
y = ck_rinv[3] * x_ + ck_rinv[4] * y_ + ck_rinv[5] * z_;
z = ck_rinv[6] * x_ + ck_rinv[7] * y_ + ck_rinv[8] * z_;
if (z > 0) { x /= z; y /= z; }
else x = y = -1;
}
};
class SphericalMapper
{
public:
static __device__ __forceinline__ void mapBackward(float u, float v, float &x, float &y)
{
using namespace build_warp_maps;
v /= cscale;
u /= cscale;
float sinv = ::sinf(v);
float x_ = sinv * ::sinf(u);
float y_ = -::cosf(v);
float z_ = sinv * ::cosf(u);
float z;
x = ck_rinv[0] * x_ + ck_rinv[1] * y_ + ck_rinv[2] * z_;
y = ck_rinv[3] * x_ + ck_rinv[4] * y_ + ck_rinv[5] * z_;
z = ck_rinv[6] * x_ + ck_rinv[7] * y_ + ck_rinv[8] * z_;
if (z > 0) { x /= z; y /= z; }
else x = y = -1;
}
};
template <typename Mapper>
__global__ void buildWarpMapsKernel(int tl_u, int tl_v, int cols, int rows,
PtrStepf map_x, PtrStepf map_y)
{
int du = blockIdx.x * blockDim.x + threadIdx.x;
int dv = blockIdx.y * blockDim.y + threadIdx.y;
if (du < cols && dv < rows)
{
float u = tl_u + du;
float v = tl_v + dv;
float x, y;
Mapper::mapBackward(u, v, x, y);
map_x.ptr(dv)[du] = x;
map_y.ptr(dv)[du] = y;
}
}
void buildWarpPlaneMaps(int tl_u, int tl_v, PtrStepSzf map_x, PtrStepSzf map_y,
const float k_rinv[9], const float r_kinv[9], const float t[3],
float scale, cudaStream_t stream)
{
cudaSafeCall(cudaMemcpyToSymbol(build_warp_maps::ck_rinv, k_rinv, 9*sizeof(float)));
cudaSafeCall(cudaMemcpyToSymbol(build_warp_maps::cr_kinv, r_kinv, 9*sizeof(float)));
cudaSafeCall(cudaMemcpyToSymbol(build_warp_maps::ct, t, 3*sizeof(float)));
cudaSafeCall(cudaMemcpyToSymbol(build_warp_maps::cscale, &scale, sizeof(float)));
int cols = map_x.cols;
int rows = map_x.rows;
dim3 threads(32, 8);
dim3 grid(divUp(cols, threads.x), divUp(rows, threads.y));
buildWarpMapsKernel<PlaneMapper><<<grid,threads>>>(tl_u, tl_v, cols, rows, map_x, map_y);
cudaSafeCall(cudaGetLastError());
if (stream == 0)
cudaSafeCall(cudaDeviceSynchronize());
}
void buildWarpCylindricalMaps(int tl_u, int tl_v, PtrStepSzf map_x, PtrStepSzf map_y,
const float k_rinv[9], const float r_kinv[9], float scale,
cudaStream_t stream)
{
cudaSafeCall(cudaMemcpyToSymbol(build_warp_maps::ck_rinv, k_rinv, 9*sizeof(float)));
cudaSafeCall(cudaMemcpyToSymbol(build_warp_maps::cr_kinv, r_kinv, 9*sizeof(float)));
cudaSafeCall(cudaMemcpyToSymbol(build_warp_maps::cscale, &scale, sizeof(float)));
int cols = map_x.cols;
int rows = map_x.rows;
dim3 threads(32, 8);
dim3 grid(divUp(cols, threads.x), divUp(rows, threads.y));
buildWarpMapsKernel<CylindricalMapper><<<grid,threads>>>(tl_u, tl_v, cols, rows, map_x, map_y);
cudaSafeCall(cudaGetLastError());
if (stream == 0)
cudaSafeCall(cudaDeviceSynchronize());
}
void buildWarpSphericalMaps(int tl_u, int tl_v, PtrStepSzf map_x, PtrStepSzf map_y,
const float k_rinv[9], const float r_kinv[9], float scale,
cudaStream_t stream)
{
cudaSafeCall(cudaMemcpyToSymbol(build_warp_maps::ck_rinv, k_rinv, 9*sizeof(float)));
cudaSafeCall(cudaMemcpyToSymbol(build_warp_maps::cr_kinv, r_kinv, 9*sizeof(float)));
cudaSafeCall(cudaMemcpyToSymbol(build_warp_maps::cscale, &scale, sizeof(float)));
int cols = map_x.cols;
int rows = map_x.rows;
dim3 threads(32, 8);
dim3 grid(divUp(cols, threads.x), divUp(rows, threads.y));
buildWarpMapsKernel<SphericalMapper><<<grid,threads>>>(tl_u, tl_v, cols, rows, map_x, map_y);
cudaSafeCall(cudaGetLastError());
if (stream == 0)
cudaSafeCall(cudaDeviceSynchronize());
}
} // namespace imgproc
}}} // namespace cv { namespace cuda { namespace cudev {
#endif /* CUDA_DISABLER */

85
modules/stitching/src/warpers.cpp
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@@ -242,91 +242,6 @@ void SphericalWarper::detectResultRoi(Size src_size, Point &dst_tl, Point &dst_b
dst_br.y = static_cast<int>(br_vf);
}
#ifdef HAVE_OPENCV_CUDAWARPING
Rect PlaneWarperGpu::buildMaps(Size src_size, InputArray K, InputArray R, cuda::GpuMat & xmap, cuda::GpuMat & ymap)
{
return buildMaps(src_size, K, R, Mat::zeros(3, 1, CV_32F), xmap, ymap);
}
Rect PlaneWarperGpu::buildMaps(Size src_size, InputArray K, InputArray R, InputArray T, cuda::GpuMat & xmap, cuda::GpuMat & ymap)
{
projector_.setCameraParams(K, R, T);
Point dst_tl, dst_br;
detectResultRoi(src_size, dst_tl, dst_br);
cuda::buildWarpPlaneMaps(src_size, Rect(dst_tl, Point(dst_br.x + 1, dst_br.y + 1)),
K, R, T, projector_.scale, xmap, ymap);
return Rect(dst_tl, dst_br);
}
Point PlaneWarperGpu::warp(const cuda::GpuMat & src, InputArray K, InputArray R, int interp_mode, int border_mode,
cuda::GpuMat & dst)
{
return warp(src, K, R, Mat::zeros(3, 1, CV_32F), interp_mode, border_mode, dst);
}
Point PlaneWarperGpu::warp(const cuda::GpuMat & src, InputArray K, InputArray R, InputArray T, int interp_mode, int border_mode,
cuda::GpuMat & dst)
{
Rect dst_roi = buildMaps(src.size(), K, R, T, d_xmap_, d_ymap_);
dst.create(dst_roi.height + 1, dst_roi.width + 1, src.type());
cuda::remap(src, dst, d_xmap_, d_ymap_, interp_mode, border_mode);
return dst_roi.tl();
}
Rect SphericalWarperGpu::buildMaps(Size src_size, InputArray K, InputArray R, cuda::GpuMat & xmap, cuda::GpuMat & ymap)
{
projector_.setCameraParams(K, R);
Point dst_tl, dst_br;
detectResultRoi(src_size, dst_tl, dst_br);
cuda::buildWarpSphericalMaps(src_size, Rect(dst_tl, Point(dst_br.x + 1, dst_br.y + 1)),
K, R, projector_.scale, xmap, ymap);
return Rect(dst_tl, dst_br);
}
Point SphericalWarperGpu::warp(const cuda::GpuMat & src, InputArray K, InputArray R, int interp_mode, int border_mode,
cuda::GpuMat & dst)
{
Rect dst_roi = buildMaps(src.size(), K, R, d_xmap_, d_ymap_);
dst.create(dst_roi.height + 1, dst_roi.width + 1, src.type());
cuda::remap(src, dst, d_xmap_, d_ymap_, interp_mode, border_mode);
return dst_roi.tl();
}
Rect CylindricalWarperGpu::buildMaps(Size src_size, InputArray K, InputArray R, cuda::GpuMat & xmap, cuda::GpuMat & ymap)
{
projector_.setCameraParams(K, R);
Point dst_tl, dst_br;
detectResultRoi(src_size, dst_tl, dst_br);
cuda::buildWarpCylindricalMaps(src_size, Rect(dst_tl, Point(dst_br.x + 1, dst_br.y + 1)),
K, R, projector_.scale, xmap, ymap);
return Rect(dst_tl, dst_br);
}
Point CylindricalWarperGpu::warp(const cuda::GpuMat & src, InputArray K, InputArray R, int interp_mode, int border_mode,
cuda::GpuMat & dst)
{
Rect dst_roi = buildMaps(src.size(), K, R, d_xmap_, d_ymap_);
dst.create(dst_roi.height + 1, dst_roi.width + 1, src.type());
cuda::remap(src, dst, d_xmap_, d_ymap_, interp_mode, border_mode);
return dst_roi.tl();
}
#endif
void SphericalPortraitWarper::detectResultRoi(Size src_size, Point &dst_tl, Point &dst_br)
{
detectResultRoiByBorder(src_size, dst_tl, dst_br);

283
modules/stitching/src/warpers_cuda.cpp Normal file
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@@ -0,0 +1,283 @@
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "precomp.hpp"
#include "opencv2/core/private.cuda.hpp"
using namespace cv;
using namespace cv::cuda;
Rect cv::detail::PlaneWarperGpu::buildMaps(Size src_size, InputArray K, InputArray R,
cuda::GpuMat & xmap, cuda::GpuMat & ymap)
{
return buildMaps(src_size, K, R, Mat::zeros(3, 1, CV_32F), xmap, ymap);
}
#ifdef HAVE_CUDA
namespace cv { namespace cuda { namespace device
{
namespace imgproc
{
void buildWarpPlaneMaps(int tl_u, int tl_v, PtrStepSzf map_x, PtrStepSzf map_y,
const float k_rinv[9], const float r_kinv[9], const float t[3], float scale,
cudaStream_t stream);
}
}}}
static void buildWarpPlaneMaps(Size src_size, Rect dst_roi, InputArray _K, InputArray _R, InputArray _T,
float scale, OutputArray _map_x, OutputArray _map_y, Stream& stream = Stream::Null())
{
(void) src_size;
Mat K = _K.getMat();
Mat R = _R.getMat();
Mat T = _T.getMat();
CV_Assert( K.size() == Size(3,3) && K.type() == CV_32FC1 );
CV_Assert( R.size() == Size(3,3) && R.type() == CV_32FC1 );
CV_Assert( (T.size() == Size(3,1) || T.size() == Size(1,3)) && T.type() == CV_32FC1 && T.isContinuous() );
Mat K_Rinv = K * R.t();
Mat R_Kinv = R * K.inv();
CV_Assert( K_Rinv.isContinuous() );
CV_Assert( R_Kinv.isContinuous() );
_map_x.create(dst_roi.size(), CV_32FC1);
_map_y.create(dst_roi.size(), CV_32FC1);
GpuMat map_x = _map_x.getGpuMat();
GpuMat map_y = _map_y.getGpuMat();
device::imgproc::buildWarpPlaneMaps(dst_roi.tl().x, dst_roi.tl().y, map_x, map_y, K_Rinv.ptr<float>(), R_Kinv.ptr<float>(),
T.ptr<float>(), scale, StreamAccessor::getStream(stream));
}
#endif
Rect cv::detail::PlaneWarperGpu::buildMaps(Size src_size, InputArray K, InputArray R, InputArray T,
cuda::GpuMat & xmap, cuda::GpuMat & ymap)
{
#ifndef HAVE_CUDA
(void)src_size;
(void)K;
(void)R;
(void)T;
(void)xmap;
(void)ymap;
throw_no_cuda();
return Rect();
#else
projector_.setCameraParams(K, R, T);
Point dst_tl, dst_br;
detectResultRoi(src_size, dst_tl, dst_br);
::buildWarpPlaneMaps(src_size, Rect(dst_tl, Point(dst_br.x + 1, dst_br.y + 1)),
K, R, T, projector_.scale, xmap, ymap);
return Rect(dst_tl, dst_br);
#endif
}
Point cv::detail::PlaneWarperGpu::warp(const cuda::GpuMat & src, InputArray K, InputArray R,
int interp_mode, int border_mode,
cuda::GpuMat & dst)
{
return warp(src, K, R, Mat::zeros(3, 1, CV_32F), interp_mode, border_mode, dst);
}
Point cv::detail::PlaneWarperGpu::warp(const cuda::GpuMat & src, InputArray K, InputArray R, InputArray T,
int interp_mode, int border_mode,
cuda::GpuMat & dst)
{
Rect dst_roi = buildMaps(src.size(), K, R, T, d_xmap_, d_ymap_);
dst.create(dst_roi.height + 1, dst_roi.width + 1, src.type());
cuda::remap(src, dst, d_xmap_, d_ymap_, interp_mode, border_mode);
return dst_roi.tl();
}
#ifdef HAVE_CUDA
namespace cv { namespace cuda { namespace device
{
namespace imgproc
{
void buildWarpSphericalMaps(int tl_u, int tl_v, PtrStepSzf map_x, PtrStepSzf map_y,
const float k_rinv[9], const float r_kinv[9], float scale,
cudaStream_t stream);
}
}}}
static void buildWarpSphericalMaps(Size src_size, Rect dst_roi, InputArray _K, InputArray _R, float scale,
OutputArray _map_x, OutputArray _map_y, Stream& stream = Stream::Null())
{
(void) src_size;
Mat K = _K.getMat();
Mat R = _R.getMat();
CV_Assert( K.size() == Size(3,3) && K.type() == CV_32FC1 );
CV_Assert( R.size() == Size(3,3) && R.type() == CV_32FC1 );
Mat K_Rinv = K * R.t();
Mat R_Kinv = R * K.inv();
CV_Assert( K_Rinv.isContinuous() );
CV_Assert( R_Kinv.isContinuous() );
_map_x.create(dst_roi.size(), CV_32FC1);
_map_y.create(dst_roi.size(), CV_32FC1);
GpuMat map_x = _map_x.getGpuMat();
GpuMat map_y = _map_y.getGpuMat();
device::imgproc::buildWarpSphericalMaps(dst_roi.tl().x, dst_roi.tl().y, map_x, map_y, K_Rinv.ptr<float>(), R_Kinv.ptr<float>(), scale, StreamAccessor::getStream(stream));
}
#endif
Rect cv::detail::SphericalWarperGpu::buildMaps(Size src_size, InputArray K, InputArray R, cuda::GpuMat & xmap, cuda::GpuMat & ymap)
{
#ifndef HAVE_CUDA
(void)src_size;
(void)K;
(void)R;
(void)xmap;
(void)ymap;
throw_no_cuda();
return Rect();
#else
projector_.setCameraParams(K, R);
Point dst_tl, dst_br;
detectResultRoi(src_size, dst_tl, dst_br);
::buildWarpSphericalMaps(src_size, Rect(dst_tl, Point(dst_br.x + 1, dst_br.y + 1)),
K, R, projector_.scale, xmap, ymap);
return Rect(dst_tl, dst_br);
#endif
}
Point cv::detail::SphericalWarperGpu::warp(const cuda::GpuMat & src, InputArray K, InputArray R,
int interp_mode, int border_mode,
cuda::GpuMat & dst)
{
Rect dst_roi = buildMaps(src.size(), K, R, d_xmap_, d_ymap_);
dst.create(dst_roi.height + 1, dst_roi.width + 1, src.type());
cuda::remap(src, dst, d_xmap_, d_ymap_, interp_mode, border_mode);
return dst_roi.tl();
}
#ifdef HAVE_CUDA
namespace cv { namespace cuda { namespace device
{
namespace imgproc
{
void buildWarpCylindricalMaps(int tl_u, int tl_v, PtrStepSzf map_x, PtrStepSzf map_y,
const float k_rinv[9], const float r_kinv[9], float scale,
cudaStream_t stream);
}
}}}
static void buildWarpCylindricalMaps(Size src_size, Rect dst_roi, InputArray _K, InputArray _R, float scale,
OutputArray _map_x, OutputArray _map_y, Stream& stream = Stream::Null())
{
(void) src_size;
Mat K = _K.getMat();
Mat R = _R.getMat();
CV_Assert( K.size() == Size(3,3) && K.type() == CV_32FC1 );
CV_Assert( R.size() == Size(3,3) && R.type() == CV_32FC1 );
Mat K_Rinv = K * R.t();
Mat R_Kinv = R * K.inv();
CV_Assert( K_Rinv.isContinuous() );
CV_Assert( R_Kinv.isContinuous() );
_map_x.create(dst_roi.size(), CV_32FC1);
_map_y.create(dst_roi.size(), CV_32FC1);
GpuMat map_x = _map_x.getGpuMat();
GpuMat map_y = _map_y.getGpuMat();
device::imgproc::buildWarpCylindricalMaps(dst_roi.tl().x, dst_roi.tl().y, map_x, map_y, K_Rinv.ptr<float>(), R_Kinv.ptr<float>(), scale, StreamAccessor::getStream(stream));
}
#endif
Rect cv::detail::CylindricalWarperGpu::buildMaps(Size src_size, InputArray K, InputArray R,
cuda::GpuMat & xmap, cuda::GpuMat & ymap)
{
#ifndef HAVE_CUDA
(void)src_size;
(void)K;
(void)R;
(void)xmap;
(void)ymap;
throw_no_cuda();
return Rect();
#else
projector_.setCameraParams(K, R);
Point dst_tl, dst_br;
detectResultRoi(src_size, dst_tl, dst_br);
::buildWarpCylindricalMaps(src_size, Rect(dst_tl, Point(dst_br.x + 1, dst_br.y + 1)),
K, R, projector_.scale, xmap, ymap);
return Rect(dst_tl, dst_br);
#endif
}
Point cv::detail::CylindricalWarperGpu::warp(const cuda::GpuMat & src, InputArray K, InputArray R,
int interp_mode, int border_mode,
cuda::GpuMat & dst)
{
Rect dst_roi = buildMaps(src.size(), K, R, d_xmap_, d_ymap_);
dst.create(dst_roi.height + 1, dst_roi.width + 1, src.type());
cuda::remap(src, dst, d_xmap_, d_ymap_, interp_mode, border_mode);
return dst_roi.tl();
}