OpenCV OpenCLをサポートしていないFGPA用のOpenCL Matを自己書き換え型のOpenCLカーネルに渡したいとします。OpenCLカーネルにMatを渡すと、セグメンテーションフォルトが発生する
HOST-コード:
Mat img = imread("template.jpg", IMREAD_GRAYSCALE);
Mat output(img.rows, img.cols, CV_8UC1);
// Program, Context already declared
// Create Kernel
cl_kernel kernel = NULL;
kernel = clCreateKernel(program, "copy", &status);
// Create Command Queue and associate it with the device you want to execute on
cl_command_queue cmdQueue;
cmdQueue = clCreateCommandQueue(context,devices[0], 0, &status);
// Buffer, prob i do something wrong here
cl_mem buffer_img = clCreateBuffer(context,CL_MEM_READ_ONLY, sizeof(uint) * img.cols * img.rows, NULL,&status);
cl_mem buffer_outputimg = clCreateBuffer(context,CL_MEM_WRITE_ONLY, sizeof(uint) * img.cols * img.rows,NULL,&status);
status = clEnqueueWriteBuffer(cmdQueue, buffer_img,CL_FALSE,0,sizeof(uint) * img.cols * img.rows,&img,0,NULL,NULL);
// set kernel arguments
status = clSetKernelArg(kernel,0,sizeof(cl_mem),&buffer_img);
status = clSetKernelArg(kernel,1,sizeof(cl_mem),&buffer_outputimg);
size_t globalWorkSize[2];
globalWorkSize[0] = img.cols;
globalWorkSize[1] = img.rows;
status = clEnqueueNDRangeKernel(cmdQueue,kernel,2,NULL, globalWorkSize, NULL,0, NULL,NULL);
clEnqueueReadBuffer(cmdQueue,buffer_outputimg,CL_TRUE,0,sizeof(uint) * img.cols * img.rows, &output, 0, NULL, NULL);
//stop cpu till queue is finish
clFinish(cmdQueue);
カーネルコード:
__kernel void copy(__global uchar * input, __global uchar * output)
{
const int x = get_global_id(0);
const int y = get_global_id(1);
//copy
output[y * get_global_size(0) + x] = input[y * get_global_size(0) + x] ;
}
OpenCVのマットと間違っ取り扱いによりpropablyあるwhichs私はセグメンテーションフォールトを得るFPGA上でそれをexcecuting。
EDIT: 編集ホスト・コードapi55により示唆されるように、問題を解決:
Mat img = imread("scene.jpg", IMREAD_GRAYSCALE);
Mat output(img.rows, img.cols, CV_8UC1);
// Program, Context already declared
// Create Kernel
cl_kernel kernel = NULL;
kernel = clCreateKernel(program, "copy", &status);
// Create Command Queue and associate it with the device you want to execute on
cl_command_queue cmdQueue;
cmdQueue = clCreateCommandQueue(context,devices[0], 0, &status);
checkError(status, "Failed to create commadnqueue");
// Buffer
cl_mem buffer_img = clCreateBuffer(context,CL_MEM_READ_ONLY, sizeof(uchar) * img.cols * img.rows, NULL,&status);
cl_mem buffer_outputimg = clCreateBuffer(context,CL_MEM_WRITE_ONLY, sizeof(uchar) * img.cols * img.rows,NULL,&status);
checkError(status, "Failed to create buffer_mask");
status = clEnqueueWriteBuffer(cmdQueue, buffer_img,CL_FALSE,0,sizeof(uchar) * img.cols * img.rows,img.data,0,NULL,NULL);
checkError(status, "Failed to enqueue buffer_img");
status = clSetKernelArg(kernel,0,sizeof(cl_mem),&buffer_img);
status = clSetKernelArg(kernel,1,sizeof(cl_mem),&buffer_outputimg);
size_t globalWorkSize[2];
globalWorkSize[0] = img.cols;
globalWorkSize[1] = img.rows;
status = clEnqueueNDRangeKernel(cmdQueue,kernel,2,NULL, globalWorkSize, NULL,0, NULL,NULL);
clEnqueueReadBuffer(cmdQueue,buffer_outputimg,CL_TRUE,0,sizeof(uchar) * img.cols * img.rows, output.data,0,NULL,NULL);
imwrite("output.jpg", output);
ありがとうございました!あなたは私の日を救った:Dはimg.dataに変更&imgし、ucharをucharに変更すると問題が解決した – Drian