mirror of https://github.com/opencv/opencv.git
Vladislav Vinogradov
14 years ago
parent
a594f01a3e
commit
e12e4798e0
4 changed files with 443 additions and 39 deletions
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/*M/////////////////////////////////////////////////////////////////////////////////////// |
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// |
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. |
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// |
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// By downloading, copying, installing or using the software you agree to this license. |
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// If you do not agree to this license, do not download, install, |
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// copy or use the software. |
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// |
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// |
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// License Agreement |
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// For Open Source Computer Vision Library |
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// |
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. |
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved. |
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// Third party copyrights are property of their respective owners. |
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// |
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// Redistribution and use in source and binary forms, with or without modification, |
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// are permitted provided that the following conditions are met: |
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// |
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// * Redistribution's of source code must retain the above copyright notice, |
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// this list of conditions and the following disclaimer. |
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// |
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// * Redistribution's in binary form must reproduce the above copyright notice, |
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// this list of conditions and the following disclaimer in the documentation |
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// and/or other materials provided with the distribution. |
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// |
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// * The name of the copyright holders may not be used to endorse or promote products |
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// derived from this software without specific prior written permission. |
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// |
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// This software is provided by the copyright holders and contributors "as is" and |
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// any express or implied warranties, including, but not limited to, the implied |
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// warranties of merchantability and fitness for a particular purpose are disclaimed. |
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// In no event shall the Intel Corporation or contributors be liable for any direct, |
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// indirect, incidental, special, exemplary, or consequential damages |
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// (including, but not limited to, procurement of substitute goods or services; |
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// loss of use, data, or profits; or business interruption) however caused |
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// and on any theory of liability, whether in contract, strict liability, |
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// or tort (including negligence or otherwise) arising in any way out of |
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// the use of this software, even if advised of the possibility of such damage. |
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// |
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//M*/ |
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|
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#include "cuda_shared.hpp" |
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using namespace cv::gpu; |
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|
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#ifndef CV_PI |
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#define CV_PI 3.1415926535897932384626433832795f |
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#endif |
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|
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namespace mathfunc_krnls |
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{ |
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struct Nothing |
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{ |
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static __device__ void calc(int, int, float, float, float*, size_t, float) |
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{ |
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} |
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}; |
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struct Magnitude |
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{ |
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static __device__ void calc(int x, int y, float x_data, float y_data, float* dst, size_t dst_step, float) |
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{ |
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dst[y * dst_step + x] = sqrtf(x_data * x_data + y_data * y_data); |
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} |
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}; |
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struct MagnitudeSqr |
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{ |
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static __device__ void calc(int x, int y, float x_data, float y_data, float* dst, size_t dst_step, float) |
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{ |
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dst[y * dst_step + x] = x_data * x_data + y_data * y_data; |
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} |
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}; |
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struct Atan2 |
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{ |
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static __device__ void calc(int x, int y, float x_data, float y_data, float* dst, size_t dst_step, float scale) |
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{ |
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dst[y * dst_step + x] = scale * atan2f(y_data, x_data); |
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} |
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}; |
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template <typename Mag, typename Angle> |
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__global__ void cartToPolar(const float* xptr, size_t x_step, const float* yptr, size_t y_step, |
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float* mag, size_t mag_step, float* angle, size_t angle_step, float scale, int width, int height) |
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{ |
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const int x = blockDim.x * blockIdx.x + threadIdx.x; |
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const int y = blockDim.y * blockIdx.y + threadIdx.y; |
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if (x < width && y < height) |
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{ |
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float x_data = xptr[y * x_step + x]; |
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float y_data = yptr[y * y_step + x]; |
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|
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Mag::calc(x, y, x_data, y_data, mag, mag_step, scale); |
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Angle::calc(x, y, x_data, y_data, angle, angle_step, scale); |
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} |
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} |
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|
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struct NonEmptyMag |
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{ |
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static __device__ float get(const float* mag, size_t mag_step, int x, int y) |
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{ |
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return mag[y * mag_step + x]; |
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} |
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}; |
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struct EmptyMag |
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{ |
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static __device__ float get(const float*, size_t, int, int) |
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{ |
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return 1.0f; |
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} |
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}; |
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template <typename Mag> |
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__global__ void polarToCart(const float* mag, size_t mag_step, const float* angle, size_t angle_step, float scale, |
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float* xptr, size_t x_step, float* yptr, size_t y_step, int width, int height) |
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{ |
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const int x = blockDim.x * blockIdx.x + threadIdx.x; |
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const int y = blockDim.y * blockIdx.y + threadIdx.y; |
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if (x < width && y < height) |
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{ |
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float mag_data = Mag::get(mag, mag_step, x, y); |
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float angle_data = angle[y * angle_step + x]; |
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float sin_a, cos_a; |
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sincosf(scale * angle_data, &sin_a, &cos_a); |
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xptr[y * x_step + x] = mag_data * cos_a; |
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yptr[y * y_step + x] = mag_data * sin_a; |
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} |
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} |
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} |
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namespace cv { namespace gpu { namespace mathfunc |
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{ |
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template <typename Mag, typename Angle> |
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void cartToPolar_caller(const DevMem2Df& x, const DevMem2Df& y, const DevMem2Df& mag, const DevMem2Df& angle, bool angleInDegrees, cudaStream_t stream) |
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{ |
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dim3 threads(16, 16, 1); |
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dim3 grid(1, 1, 1); |
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grid.x = divUp(x.cols, threads.x); |
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grid.y = divUp(x.rows, threads.y); |
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const float scale = angleInDegrees ? (float)(180.0f / CV_PI) : 1.f; |
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mathfunc_krnls::cartToPolar<Mag, Angle><<<grid, threads, 0, stream>>>( |
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x.ptr, x.step / sizeof(float), y.ptr, y.step / sizeof(float), |
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mag.ptr, mag.step / sizeof(float), angle.ptr, angle.step / sizeof(float), scale, x.cols, x.rows); |
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if (stream == 0) |
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cudaSafeCall( cudaThreadSynchronize() ); |
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} |
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void cartToPolar_gpu(const DevMem2Df& x, const DevMem2Df& y, const DevMem2Df& mag, bool magSqr, const DevMem2Df& angle, bool angleInDegrees, cudaStream_t stream) |
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{ |
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typedef void (*caller_t)(const DevMem2Df& x, const DevMem2Df& y, const DevMem2Df& mag, const DevMem2Df& angle, bool angleInDegrees, cudaStream_t stream); |
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static const caller_t callers[2][2][2] = |
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{ |
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{ |
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{ |
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cartToPolar_caller<mathfunc_krnls::Magnitude, mathfunc_krnls::Atan2>, |
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cartToPolar_caller<mathfunc_krnls::Magnitude, mathfunc_krnls::Nothing> |
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}, |
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{ |
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cartToPolar_caller<mathfunc_krnls::MagnitudeSqr, mathfunc_krnls::Atan2>, |
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cartToPolar_caller<mathfunc_krnls::MagnitudeSqr, mathfunc_krnls::Nothing>, |
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} |
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}, |
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{ |
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{ |
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cartToPolar_caller<mathfunc_krnls::Nothing, mathfunc_krnls::Atan2>, |
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cartToPolar_caller<mathfunc_krnls::Nothing, mathfunc_krnls::Nothing> |
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}, |
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{ |
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cartToPolar_caller<mathfunc_krnls::Nothing, mathfunc_krnls::Atan2>, |
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cartToPolar_caller<mathfunc_krnls::Nothing, mathfunc_krnls::Nothing>, |
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} |
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} |
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}; |
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callers[mag.ptr == 0][magSqr][angle.ptr == 0](x, y, mag, angle, angleInDegrees, stream); |
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} |
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template <typename Mag> |
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void polarToCart_caller(const DevMem2Df& mag, const DevMem2Df& angle, const DevMem2Df& x, const DevMem2Df& y, bool angleInDegrees, cudaStream_t stream) |
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{ |
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dim3 threads(16, 16, 1); |
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dim3 grid(1, 1, 1); |
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grid.x = divUp(mag.cols, threads.x); |
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grid.y = divUp(mag.rows, threads.y); |
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const float scale = angleInDegrees ? (float)(CV_PI / 180.0f) : 1.0f; |
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mathfunc_krnls::polarToCart<Mag><<<grid, threads, 0, stream>>>(mag.ptr, mag.step / sizeof(float), |
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angle.ptr, angle.step / sizeof(float), scale, x.ptr, x.step / sizeof(float), y.ptr, y.step / sizeof(float), mag.cols, mag.rows); |
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if (stream == 0) |
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cudaSafeCall( cudaThreadSynchronize() ); |
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} |
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void polarToCart_gpu(const DevMem2Df& mag, const DevMem2Df& angle, const DevMem2Df& x, const DevMem2Df& y, bool angleInDegrees, cudaStream_t stream) |
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{ |
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typedef void (*caller_t)(const DevMem2Df& mag, const DevMem2Df& angle, const DevMem2Df& x, const DevMem2Df& y, bool angleInDegrees, cudaStream_t stream); |
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static const caller_t callers[2] = |
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{ |
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polarToCart_caller<mathfunc_krnls::NonEmptyMag>, |
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polarToCart_caller<mathfunc_krnls::EmptyMag> |
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}; |
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callers[mag.ptr == 0](mag, angle, x, y, angleInDegrees, stream); |
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} |
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}}} |
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