mirror of
https://github.com/opencv/opencv.git
synced 2024-12-17 10:58:00 +08:00
147 lines
5.7 KiB
Plaintext
147 lines
5.7 KiB
Plaintext
/*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.
|
|
//
|
|
// Copyright (c) 2010, Paul Furgale, Chi Hay Tong
|
|
//
|
|
// The original code was written by Paul Furgale and Chi Hay Tong
|
|
// and later optimized and prepared for integration into OpenCV by Itseez.
|
|
//
|
|
//M*/
|
|
|
|
#include <thrust/sort.h>
|
|
|
|
#include "opencv2/gpu/device/common.hpp"
|
|
#include "opencv2/gpu/device/utility.hpp"
|
|
|
|
namespace cv { namespace gpu { namespace device
|
|
{
|
|
namespace gfft
|
|
{
|
|
texture<float, cudaTextureType2D, cudaReadModeElementType> eigTex(0, cudaFilterModePoint, cudaAddressModeClamp);
|
|
|
|
__device__ uint g_counter = 0;
|
|
|
|
template <class Mask> __global__ void findCorners(float threshold, const Mask mask, float2* corners, uint max_count, int rows, int cols)
|
|
{
|
|
#if __CUDA_ARCH__ >= 110
|
|
|
|
const int j = blockIdx.x * blockDim.x + threadIdx.x;
|
|
const int i = blockIdx.y * blockDim.y + threadIdx.y;
|
|
|
|
if (i > 0 && i < rows - 1 && j > 0 && j < cols - 1 && mask(i, j))
|
|
{
|
|
float val = tex2D(eigTex, j, i);
|
|
|
|
if (val > threshold)
|
|
{
|
|
float maxVal = val;
|
|
|
|
maxVal = ::fmax(tex2D(eigTex, j - 1, i - 1), maxVal);
|
|
maxVal = ::fmax(tex2D(eigTex, j , i - 1), maxVal);
|
|
maxVal = ::fmax(tex2D(eigTex, j + 1, i - 1), maxVal);
|
|
|
|
maxVal = ::fmax(tex2D(eigTex, j - 1, i), maxVal);
|
|
maxVal = ::fmax(tex2D(eigTex, j + 1, i), maxVal);
|
|
|
|
maxVal = ::fmax(tex2D(eigTex, j - 1, i + 1), maxVal);
|
|
maxVal = ::fmax(tex2D(eigTex, j , i + 1), maxVal);
|
|
maxVal = ::fmax(tex2D(eigTex, j + 1, i + 1), maxVal);
|
|
|
|
if (val == maxVal)
|
|
{
|
|
const uint ind = atomicInc(&g_counter, (uint)(-1));
|
|
|
|
if (ind < max_count)
|
|
corners[ind] = make_float2(j, i);
|
|
}
|
|
}
|
|
}
|
|
|
|
#endif // __CUDA_ARCH__ >= 110
|
|
}
|
|
|
|
int findCorners_gpu(DevMem2Df eig, float threshold, DevMem2Db mask, float2* corners, int max_count)
|
|
{
|
|
void* counter_ptr;
|
|
cudaSafeCall( cudaGetSymbolAddress(&counter_ptr, g_counter) );
|
|
|
|
cudaSafeCall( cudaMemset(counter_ptr, 0, sizeof(uint)) );
|
|
|
|
bindTexture(&eigTex, eig);
|
|
|
|
dim3 block(16, 16);
|
|
dim3 grid(divUp(eig.cols, block.x), divUp(eig.rows, block.y));
|
|
|
|
if (mask.data)
|
|
findCorners<<<grid, block>>>(threshold, SingleMask(mask), corners, max_count, eig.rows, eig.cols);
|
|
else
|
|
findCorners<<<grid, block>>>(threshold, WithOutMask(), corners, max_count, eig.rows, eig.cols);
|
|
|
|
cudaSafeCall( cudaGetLastError() );
|
|
|
|
cudaSafeCall( cudaDeviceSynchronize() );
|
|
|
|
uint count;
|
|
cudaSafeCall( cudaMemcpy(&count, counter_ptr, sizeof(uint), cudaMemcpyDeviceToHost) );
|
|
|
|
return min(count, max_count);
|
|
}
|
|
|
|
class EigGreater
|
|
{
|
|
public:
|
|
__device__ __forceinline__ bool operator()(float2 a, float2 b) const
|
|
{
|
|
return tex2D(eigTex, a.x, a.y) > tex2D(eigTex, b.x, b.y);
|
|
}
|
|
};
|
|
|
|
|
|
void sortCorners_gpu(DevMem2Df eig, float2* corners, int count)
|
|
{
|
|
bindTexture(&eigTex, eig);
|
|
|
|
thrust::device_ptr<float2> ptr(corners);
|
|
|
|
thrust::sort(ptr, ptr + count, EigGreater());
|
|
}
|
|
} // namespace optical_flow
|
|
}}}
|