小编tin*_*can的帖子

我正在尝试使用opencv自动查找并找到空停车场的所有停车位.

目前,我有一个阈值图像的代码,应用canny边缘检测,然后使用概率hough线找到标记每个停车位的线.

然后程序绘制线条和构成线条的点

这是代码:

#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"

#include <iostream>

using namespace cv;
using namespace std;

int threshold_value = 150;
int threshold_type = 0;;
int const max_value = 255;
int const max_type = 4;
int const max_BINARY_value = 255;

int houghthresh = 50;

char* trackbar_value = "Value";

char* window_name = "Find Lines";

int main(int argc, char** argv)
{
 const char* filename = argc >= 2 ? argv[1] : "pic1.jpg";
 VideoCapture cap(0);
 Mat src, dst, cdst, tdst, bgrdst;
 namedWindow( window_name, CV_WINDOW_AUTOSIZE …

我目前正在学习 OpenCL 并遇到了这个代码片段：

int gti = get_global_id(0);
int ti = get_local_id(0);

int n = get_global_size(0);
int nt = get_local_size(0);
int nb = n/nt;

for(int jb=0; jb < nb; jb++) { /* Foreach block ... */
      pblock[ti] = pos_old[jb*nt+ti]; /* Cache ONE particle position */
      barrier(CLK_LOCAL_MEM_FENCE); /* Wait for others in the work-group */

      for(int j=0; j<nt; j++) { /* For ALL cached particle positions ... */
         float4 p2 = pblock[j]; /* Read a cached particle position */
         float4 d = …