branch_detection.cuh
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#include <iostream>
#include <fstream>
#include <cuda_runtime.h>
#include <stim/math/vector.h>
//#include <math.h>
#include <stim/visualization/colormap.h>
#include <stim/cuda/cuda_texture.cuh>
#include <stim/cuda/templates/gradient.cuh>
#include <stim/cuda/templates/gaussian_blur.cuh>
#include <stim/cuda/arraymath.cuh>
#include <stim/cuda/ivote.cuh>
#include <stim/cuda/testKernel.cuh>
typedef unsigned int uint;
typedef unsigned int uchar;
stim::cuda::cuda_texture t;
float* gpuTable;
float* gpuGrad;
float* gpuVote;
float* gpuI;
float* gpuCenters;
void atan_2d(float* cpuTable, unsigned int rmax)
{
//initialize the width and height of the window which atan2 are computed in.
int xsize = 2*rmax +1;
int ysize = 2*rmax +1;
// assign the center coordinates of the atan2 window to yi and xi
int yi = rmax;
int xi = rmax;
for (int xt = 0; xt < xsize; xt++){
for(int yt = 0; yt < ysize; yt++){
//convert the current 2D coordinates to 1D
int id = yt * xsize + xt;
// calculate the distance between the pixel and the center of the atan2 window
float xd = xi - xt;
float yd = yi - yt;
// calculate the angle between the pixel and the center of the atan2 window and store the result.
float atan_2d_vote = atan2(yd, xd);
cpuTable[id] = atan_2d_vote;
}
}
}
void initCuda(unsigned int bytes_table, unsigned int bytes_ds)
{
HANDLE_ERROR(
cudaMalloc((void**) &gpuTable, bytes_table)
);
HANDLE_ERROR(
cudaMalloc((void**) &gpuI, bytes_ds)
);
HANDLE_ERROR(
cudaMalloc((void**) &gpuGrad, bytes_ds*2)
);
HANDLE_ERROR(
cudaMalloc((void**) &gpuVote, bytes_ds)
);
HANDLE_ERROR(
cudaMalloc((void**) &gpuCenters, bytes_ds)
);
}
void cleanCuda()
{
HANDLE_ERROR(
cudaFree(gpuTable)
);
HANDLE_ERROR(
cudaFree(gpuGrad)
);
HANDLE_ERROR(
cudaFree(gpuVote)
);
HANDLE_ERROR(
cudaFree(gpuCenters)
);
HANDLE_ERROR(
cudaFree(gpuI)
);
}
std::vector< stim::vec<float> >
find_branch(GLint texbufferID, GLenum texType, unsigned int x, unsigned int y)
{
float phi = 15.1*M_PI/180;
int iter = 5;
float dphi = phi/iter;
float rmax = 10;
float sigma = 4;
unsigned int pixels = x * y;
unsigned int bytes = sizeof(float) * pixels;
unsigned int bytes_table = sizeof(float) * (2*rmax + 1) * (2*rmax + 1);
unsigned int x_ds = (x + (x % 1 == 0 ? 0:1));
unsigned int y_ds = (y + (x % 1 == 0 ? 0:1));
unsigned int bytes_ds = sizeof(float) * x_ds * y_ds;
unsigned int conn = 5;
float final_t = 200.0;
float* cpuTable = (float*) malloc(bytes_table);
float* cpuCenters = (float*) malloc(bytes_ds);
stringstream name;
std::vector<stim::vec<float> > output;
initCuda(bytes_table, bytes_ds);
atan_2d(cpuTable, rmax);
cudaMemcpy(gpuTable, cpuTable, bytes_table, cudaMemcpyHostToDevice);
test(texbufferID, texType);
t.MapCudaTexture(texbufferID, texType);
cudaDeviceSynchronize();
stim::cuda::tex_gaussian_blur2<float>(
gpuI, sigma, x, y, t.getTexture(), t.getArray()
);
cudaDeviceSynchronize();
stim::gpu2image<float>(gpuI, "Blur.jpg", 16, 8*27, 0, 255);
stim::cuda::gpu_gradient_2d<float>(
gpuGrad, gpuI, x, y
);
cudaDeviceSynchronize();
// stim::gpu2image<float>(gpuGrad, "Grad.jpg", 16, 8*27, 0, 1);
stim::cuda::gpu_cart2polar<float>(gpuGrad, x, y, M_PI);
cudaDeviceSynchronize();
// stim::gpu2image<float>(gpuGrad, "Cart_2_polar.jpg", 16, 8*27, 0, 1);
cudaDeviceSynchronize();
for (int i = 0; i < iter; i++)
{
stim::cuda::gpu_vote<float>(gpuVote, gpuGrad, gpuTable, phi, rmax, x, y);
name << "Vote" << i << ".bmp";
stim::gpu2image<float>(gpuVote, name.str(), 16, 8*27, 0, 255);
name.str("");
name.clear();
cudaDeviceSynchronize();
// std::cout << "got here7_a_" << i << std::endl;
stim::cuda::gpu_update_dir<float>(gpuVote, gpuGrad, gpuTable, phi, rmax, x, y);
cudaDeviceSynchronize();
// std::cout << "got here7_b_" << i << std::endl;
phi = phi - dphi;
}
cudaDeviceSynchronize();
stim::cuda::gpu_local_max<float>(gpuCenters, gpuVote, final_t, conn, x, y);
// std::cout << "got here_sdkfj" << std::endl;
cudaMemcpy(cpuCenters, gpuCenters, bytes_ds, cudaMemcpyDeviceToHost);
stim::gpu2image<float>(gpuCenters, "Centers.jpg", 16, 8*27, 0, 255);
for(int i = 0; i < pixels; i++)
{
int ix = (i % x);
int iy = (i / x);
// std::cout << i << " : " << ix <<" : " << iy << std::endl;
if((cpuCenters[i] == 1) && (ix > 4) && (ix < x-4))
{
std::cout << ix << " : " << iy << std::endl;
float x_v = (float) ix;
float y_v = (float) iy;
output.push_back(stim::vec<float>((x_v/(float)x),
(y_v/(float)y), 0.0));
std::cout << x_v/16.0 << " : " << y_v/216.0 << std::endl;
}
}
t.UnmapCudaTexture();
cleanCuda();
free(cpuTable);
free(cpuCenters);
return output;
}