mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
160 lines
5.1 KiB
160 lines
5.1 KiB
#include "opencv2/core.hpp" |
|
#include "opencv2/core/ocl.hpp" |
|
#include "opencv2/highgui.hpp" |
|
#include "opencv2/imgcodecs.hpp" |
|
#include "opencv2/imgproc.hpp" |
|
|
|
#include <iostream> |
|
|
|
using namespace std; |
|
using namespace cv; |
|
|
|
static const char* opencl_kernel_src = |
|
"__kernel void magnutude_filter_8u(\n" |
|
" __global const uchar* src, int src_step, int src_offset,\n" |
|
" __global uchar* dst, int dst_step, int dst_offset, int dst_rows, int dst_cols,\n" |
|
" float scale)\n" |
|
"{\n" |
|
" int x = get_global_id(0);\n" |
|
" int y = get_global_id(1);\n" |
|
" if (x < dst_cols && y < dst_rows)\n" |
|
" {\n" |
|
" int dst_idx = y * dst_step + x + dst_offset;\n" |
|
" if (x > 0 && x < dst_cols - 1 && y > 0 && y < dst_rows - 2)\n" |
|
" {\n" |
|
" int src_idx = y * src_step + x + src_offset;\n" |
|
" int dx = (int)src[src_idx]*2 - src[src_idx - 1] - src[src_idx + 1];\n" |
|
" int dy = (int)src[src_idx]*2 - src[src_idx - 1*src_step] - src[src_idx + 1*src_step];\n" |
|
" dst[dst_idx] = convert_uchar_sat(sqrt((float)(dx*dx + dy*dy)) * scale);\n" |
|
" }\n" |
|
" else\n" |
|
" {\n" |
|
" dst[dst_idx] = 0;\n" |
|
" }\n" |
|
" }\n" |
|
"}\n"; |
|
|
|
int main(int argc, char** argv) |
|
{ |
|
const char* keys = |
|
"{ i input | | specify input image }" |
|
"{ h help | | print help message }"; |
|
|
|
cv::CommandLineParser args(argc, argv, keys); |
|
if (args.has("help")) |
|
{ |
|
cout << "Usage : " << argv[0] << " [options]" << endl; |
|
cout << "Available options:" << endl; |
|
args.printMessage(); |
|
return EXIT_SUCCESS; |
|
} |
|
|
|
cv::ocl::Context ctx = cv::ocl::Context::getDefault(); |
|
if (!ctx.ptr()) |
|
{ |
|
cerr << "OpenCL is not available" << endl; |
|
return 1; |
|
} |
|
cv::ocl::Device device = cv::ocl::Device::getDefault(); |
|
if (!device.compilerAvailable()) |
|
{ |
|
cerr << "OpenCL compiler is not available" << endl; |
|
return 1; |
|
} |
|
|
|
|
|
UMat src; |
|
{ |
|
string image_file = args.get<string>("i"); |
|
if (!image_file.empty()) |
|
{ |
|
Mat image = imread(image_file); |
|
if (image.empty()) |
|
{ |
|
cout << "error read image: " << image_file << endl; |
|
return 1; |
|
} |
|
cvtColor(image, src, COLOR_BGR2GRAY); |
|
} |
|
else |
|
{ |
|
Mat frame(cv::Size(640, 480), CV_8U, Scalar::all(128)); |
|
Point p(frame.cols / 2, frame.rows / 2); |
|
line(frame, Point(0, frame.rows / 2), Point(frame.cols, frame.rows / 2), 1); |
|
circle(frame, p, 200, Scalar(32, 32, 32), 8, LINE_AA); |
|
string str = "OpenCL"; |
|
int baseLine = 0; |
|
Size box = getTextSize(str, FONT_HERSHEY_COMPLEX, 2, 5, &baseLine); |
|
putText(frame, str, Point((frame.cols - box.width) / 2, (frame.rows - box.height) / 2 + baseLine), |
|
FONT_HERSHEY_COMPLEX, 2, Scalar(255, 255, 255), 5, LINE_AA); |
|
frame.copyTo(src); |
|
} |
|
} |
|
|
|
|
|
cv::String module_name; // empty to disable OpenCL cache |
|
|
|
{ |
|
cout << "OpenCL program source: " << endl; |
|
cout << "======================================================================================================" << endl; |
|
cout << opencl_kernel_src << endl; |
|
cout << "======================================================================================================" << endl; |
|
//! [Define OpenCL program source] |
|
cv::ocl::ProgramSource source(module_name, "simple", opencl_kernel_src, ""); |
|
//! [Define OpenCL program source] |
|
|
|
//! [Compile/build OpenCL for current OpenCL device] |
|
cv::String errmsg; |
|
cv::ocl::Program program(source, "", errmsg); |
|
if (program.ptr() == NULL) |
|
{ |
|
cerr << "Can't compile OpenCL program:" << endl << errmsg << endl; |
|
return 1; |
|
} |
|
//! [Compile/build OpenCL for current OpenCL device] |
|
|
|
if (!errmsg.empty()) |
|
{ |
|
cout << "OpenCL program build log:" << endl << errmsg << endl; |
|
} |
|
|
|
//! [Get OpenCL kernel by name] |
|
cv::ocl::Kernel k("magnutude_filter_8u", program); |
|
if (k.empty()) |
|
{ |
|
cerr << "Can't get OpenCL kernel" << endl; |
|
return 1; |
|
} |
|
//! [Get OpenCL kernel by name] |
|
|
|
UMat result(src.size(), CV_8UC1); |
|
|
|
//! [Define kernel parameters and run] |
|
size_t globalSize[2] = {(size_t)src.cols, (size_t)src.rows}; |
|
size_t localSize[2] = {8, 8}; |
|
bool executionResult = k |
|
.args( |
|
cv::ocl::KernelArg::ReadOnlyNoSize(src), // size is not used (similar to 'dst' size) |
|
cv::ocl::KernelArg::WriteOnly(result), |
|
(float)2.0 |
|
) |
|
.run(2, globalSize, localSize, true); |
|
if (!executionResult) |
|
{ |
|
cerr << "OpenCL kernel launch failed" << endl; |
|
return 1; |
|
} |
|
//! [Define kernel parameters and run] |
|
|
|
imshow("Source", src); |
|
imshow("Result", result); |
|
|
|
for (;;) |
|
{ |
|
int key = waitKey(); |
|
if (key == 27/*ESC*/ || key == 'q' || key == 'Q') |
|
break; |
|
} |
|
} |
|
return 0; |
|
}
|
|
|