mirror of
https://github.com/opencv/opencv.git
synced 2024-12-16 02:19:12 +08:00
284 lines
9.4 KiB
C++
284 lines
9.4 KiB
C++
#define __CL_ENABLE_EXCEPTIONS
|
|
#define CL_USE_DEPRECATED_OPENCL_1_1_APIS /*let's give a chance for OpenCL 1.1 devices*/
|
|
#include <CL/cl.hpp>
|
|
|
|
#include <GLES2/gl2.h>
|
|
#include <EGL/egl.h>
|
|
|
|
#include <opencv2/core.hpp>
|
|
#include <opencv2/imgproc.hpp>
|
|
#include <opencv2/core/ocl.hpp>
|
|
|
|
#include "common.hpp"
|
|
|
|
const char oclProgB2B[] = "// clBuffer to clBuffer";
|
|
const char oclProgI2B[] = "// clImage to clBuffer";
|
|
const char oclProgI2I[] = \
|
|
"__constant sampler_t sampler = CLK_NORMALIZED_COORDS_FALSE | CLK_ADDRESS_CLAMP_TO_EDGE | CLK_FILTER_NEAREST; \n" \
|
|
"\n" \
|
|
"__kernel void Laplacian( \n" \
|
|
" __read_only image2d_t imgIn, \n" \
|
|
" __write_only image2d_t imgOut \n" \
|
|
" ) { \n" \
|
|
" \n" \
|
|
" const int2 pos = {get_global_id(0), get_global_id(1)}; \n" \
|
|
" \n" \
|
|
" float4 sum = (float4) 0.0f; \n" \
|
|
" sum += read_imagef(imgIn, sampler, pos + (int2)(-1,0)); \n" \
|
|
" sum += read_imagef(imgIn, sampler, pos + (int2)(+1,0)); \n" \
|
|
" sum += read_imagef(imgIn, sampler, pos + (int2)(0,-1)); \n" \
|
|
" sum += read_imagef(imgIn, sampler, pos + (int2)(0,+1)); \n" \
|
|
" sum -= read_imagef(imgIn, sampler, pos) * 4; \n" \
|
|
" \n" \
|
|
" write_imagef(imgOut, pos, sum*10); \n" \
|
|
"} \n";
|
|
|
|
void dumpCLinfo()
|
|
{
|
|
LOGD("*** OpenCL info ***");
|
|
try
|
|
{
|
|
std::vector<cl::Platform> platforms;
|
|
cl::Platform::get(&platforms);
|
|
LOGD("OpenCL info: Found %d OpenCL platforms", platforms.size());
|
|
for (int i = 0; i < platforms.size(); ++i)
|
|
{
|
|
std::string name = platforms[i].getInfo<CL_PLATFORM_NAME>();
|
|
std::string version = platforms[i].getInfo<CL_PLATFORM_VERSION>();
|
|
std::string profile = platforms[i].getInfo<CL_PLATFORM_PROFILE>();
|
|
std::string extensions = platforms[i].getInfo<CL_PLATFORM_EXTENSIONS>();
|
|
LOGD( "OpenCL info: Platform[%d] = %s, ver = %s, prof = %s, ext = %s",
|
|
i, name.c_str(), version.c_str(), profile.c_str(), extensions.c_str() );
|
|
}
|
|
|
|
std::vector<cl::Device> devices;
|
|
platforms[0].getDevices(CL_DEVICE_TYPE_ALL, &devices);
|
|
|
|
for (int i = 0; i < devices.size(); ++i)
|
|
{
|
|
std::string name = devices[i].getInfo<CL_DEVICE_NAME>();
|
|
std::string extensions = devices[i].getInfo<CL_DEVICE_EXTENSIONS>();
|
|
cl_ulong type = devices[i].getInfo<CL_DEVICE_TYPE>();
|
|
LOGD( "OpenCL info: Device[%d] = %s (%s), ext = %s",
|
|
i, name.c_str(), (type==CL_DEVICE_TYPE_GPU ? "GPU" : "CPU"), extensions.c_str() );
|
|
}
|
|
}
|
|
catch(cl::Error& e)
|
|
{
|
|
LOGE( "OpenCL info: error while gathering OpenCL info: %s (%d)", e.what(), e.err() );
|
|
}
|
|
catch(std::exception& e)
|
|
{
|
|
LOGE( "OpenCL info: error while gathering OpenCL info: %s", e.what() );
|
|
}
|
|
catch(...)
|
|
{
|
|
LOGE( "OpenCL info: unknown error while gathering OpenCL info" );
|
|
}
|
|
LOGD("*******************");
|
|
}
|
|
|
|
cl::Context theContext;
|
|
cl::CommandQueue theQueue;
|
|
cl::Program theProgB2B, theProgI2B, theProgI2I;
|
|
bool haveOpenCL = false;
|
|
|
|
extern "C" void initCL()
|
|
{
|
|
dumpCLinfo();
|
|
|
|
EGLDisplay mEglDisplay = eglGetCurrentDisplay();
|
|
if (mEglDisplay == EGL_NO_DISPLAY)
|
|
LOGE("initCL: eglGetCurrentDisplay() returned 'EGL_NO_DISPLAY', error = %x", eglGetError());
|
|
|
|
EGLContext mEglContext = eglGetCurrentContext();
|
|
if (mEglContext == EGL_NO_CONTEXT)
|
|
LOGE("initCL: eglGetCurrentContext() returned 'EGL_NO_CONTEXT', error = %x", eglGetError());
|
|
|
|
cl_context_properties props[] =
|
|
{ CL_GL_CONTEXT_KHR, (cl_context_properties) mEglContext,
|
|
CL_EGL_DISPLAY_KHR, (cl_context_properties) mEglDisplay,
|
|
CL_CONTEXT_PLATFORM, 0,
|
|
0 };
|
|
|
|
try
|
|
{
|
|
haveOpenCL = false;
|
|
cl::Platform p = cl::Platform::getDefault();
|
|
std::string ext = p.getInfo<CL_PLATFORM_EXTENSIONS>();
|
|
if(ext.find("cl_khr_gl_sharing") == std::string::npos)
|
|
LOGE("Warning: CL-GL sharing isn't supported by PLATFORM");
|
|
props[5] = (cl_context_properties) p();
|
|
|
|
theContext = cl::Context(CL_DEVICE_TYPE_GPU, props);
|
|
std::vector<cl::Device> devs = theContext.getInfo<CL_CONTEXT_DEVICES>();
|
|
LOGD("Context returned %d devices, taking the 1st one", devs.size());
|
|
ext = devs[0].getInfo<CL_DEVICE_EXTENSIONS>();
|
|
if(ext.find("cl_khr_gl_sharing") == std::string::npos)
|
|
LOGE("Warning: CL-GL sharing isn't supported by DEVICE");
|
|
|
|
theQueue = cl::CommandQueue(theContext, devs[0]);
|
|
|
|
cl::Program::Sources src(1, std::make_pair(oclProgI2I, sizeof(oclProgI2I)));
|
|
theProgI2I = cl::Program(theContext, src);
|
|
theProgI2I.build(devs);
|
|
|
|
cv::ocl::attachContext(p.getInfo<CL_PLATFORM_NAME>(), p(), theContext(), devs[0]());
|
|
if( cv::ocl::useOpenCL() )
|
|
LOGD("OpenCV+OpenCL works OK!");
|
|
else
|
|
LOGE("Can't init OpenCV with OpenCL TAPI");
|
|
haveOpenCL = true;
|
|
}
|
|
catch(cl::Error& e)
|
|
{
|
|
LOGE("cl::Error: %s (%d)", e.what(), e.err());
|
|
}
|
|
catch(std::exception& e)
|
|
{
|
|
LOGE("std::exception: %s", e.what());
|
|
}
|
|
catch(...)
|
|
{
|
|
LOGE( "OpenCL info: unknown error while initializing OpenCL stuff" );
|
|
}
|
|
LOGD("initCL completed");
|
|
}
|
|
|
|
extern "C" void closeCL()
|
|
{
|
|
}
|
|
|
|
#define GL_TEXTURE_2D 0x0DE1
|
|
void procOCL_I2I(int texIn, int texOut, int w, int h)
|
|
{
|
|
LOGD("Processing OpenCL Direct (image2d)");
|
|
if(!haveOpenCL)
|
|
{
|
|
LOGE("OpenCL isn't initialized");
|
|
return;
|
|
}
|
|
|
|
LOGD("procOCL_I2I(%d, %d, %d, %d)", texIn, texOut, w, h);
|
|
cl::ImageGL imgIn (theContext, CL_MEM_READ_ONLY, GL_TEXTURE_2D, 0, texIn);
|
|
cl::ImageGL imgOut(theContext, CL_MEM_WRITE_ONLY, GL_TEXTURE_2D, 0, texOut);
|
|
std::vector < cl::Memory > images;
|
|
images.push_back(imgIn);
|
|
images.push_back(imgOut);
|
|
|
|
int64_t t = getTimeMs();
|
|
theQueue.enqueueAcquireGLObjects(&images);
|
|
theQueue.finish();
|
|
LOGD("enqueueAcquireGLObjects() costs %d ms", getTimeInterval(t));
|
|
|
|
t = getTimeMs();
|
|
cl::Kernel Laplacian(theProgI2I, "Laplacian"); //TODO: may be done once
|
|
Laplacian.setArg(0, imgIn);
|
|
Laplacian.setArg(1, imgOut);
|
|
theQueue.finish();
|
|
LOGD("Kernel() costs %d ms", getTimeInterval(t));
|
|
|
|
t = getTimeMs();
|
|
theQueue.enqueueNDRangeKernel(Laplacian, cl::NullRange, cl::NDRange(w, h), cl::NullRange);
|
|
theQueue.finish();
|
|
LOGD("enqueueNDRangeKernel() costs %d ms", getTimeInterval(t));
|
|
|
|
t = getTimeMs();
|
|
theQueue.enqueueReleaseGLObjects(&images);
|
|
theQueue.finish();
|
|
LOGD("enqueueReleaseGLObjects() costs %d ms", getTimeInterval(t));
|
|
}
|
|
|
|
void procOCL_OCV(int texIn, int texOut, int w, int h)
|
|
{
|
|
LOGD("Processing OpenCL via OpenCV");
|
|
if(!haveOpenCL)
|
|
{
|
|
LOGE("OpenCL isn't initialized");
|
|
return;
|
|
}
|
|
|
|
int64_t t = getTimeMs();
|
|
cl::ImageGL imgIn (theContext, CL_MEM_READ_ONLY, GL_TEXTURE_2D, 0, texIn);
|
|
std::vector < cl::Memory > images(1, imgIn);
|
|
theQueue.enqueueAcquireGLObjects(&images);
|
|
theQueue.finish();
|
|
cv::UMat uIn, uOut, uTmp;
|
|
cv::ocl::convertFromImage(imgIn(), uIn);
|
|
LOGD("loading texture data to OpenCV UMat costs %d ms", getTimeInterval(t));
|
|
theQueue.enqueueReleaseGLObjects(&images);
|
|
|
|
t = getTimeMs();
|
|
//cv::blur(uIn, uOut, cv::Size(5, 5));
|
|
cv::Laplacian(uIn, uTmp, CV_8U);
|
|
cv:multiply(uTmp, 10, uOut);
|
|
cv::ocl::finish();
|
|
LOGD("OpenCV processing costs %d ms", getTimeInterval(t));
|
|
|
|
t = getTimeMs();
|
|
cl::ImageGL imgOut(theContext, CL_MEM_WRITE_ONLY, GL_TEXTURE_2D, 0, texOut);
|
|
images.clear();
|
|
images.push_back(imgOut);
|
|
theQueue.enqueueAcquireGLObjects(&images);
|
|
cl_mem clBuffer = (cl_mem)uOut.handle(cv::ACCESS_READ);
|
|
cl_command_queue q = (cl_command_queue)cv::ocl::Queue::getDefault().ptr();
|
|
size_t offset = 0;
|
|
size_t origin[3] = { 0, 0, 0 };
|
|
size_t region[3] = { w, h, 1 };
|
|
CV_Assert(clEnqueueCopyBufferToImage (q, clBuffer, imgOut(), offset, origin, region, 0, NULL, NULL) == CL_SUCCESS);
|
|
theQueue.enqueueReleaseGLObjects(&images);
|
|
cv::ocl::finish();
|
|
LOGD("uploading results to texture costs %d ms", getTimeInterval(t));
|
|
}
|
|
|
|
void drawFrameProcCPU(int w, int h, int texOut)
|
|
{
|
|
LOGD("Processing on CPU");
|
|
int64_t t;
|
|
|
|
// let's modify pixels in FBO texture in C++ code (on CPU)
|
|
static cv::Mat m;
|
|
m.create(h, w, CV_8UC4);
|
|
|
|
// read
|
|
t = getTimeMs();
|
|
// expecting FBO to be bound
|
|
glReadPixels(0, 0, w, h, GL_RGBA, GL_UNSIGNED_BYTE, m.data);
|
|
LOGD("glReadPixels() costs %d ms", getTimeInterval(t));
|
|
|
|
// modify
|
|
t = getTimeMs();
|
|
cv::Laplacian(m, m, CV_8U);
|
|
m *= 10;
|
|
LOGD("Laplacian() costs %d ms", getTimeInterval(t));
|
|
|
|
// write back
|
|
glActiveTexture(GL_TEXTURE0);
|
|
glBindTexture(GL_TEXTURE_2D, texOut);
|
|
t = getTimeMs();
|
|
glTexSubImage2D(GL_TEXTURE_2D, 0, 0, 0, w, h, GL_RGBA, GL_UNSIGNED_BYTE, m.data);
|
|
LOGD("glTexSubImage2D() costs %d ms", getTimeInterval(t));
|
|
}
|
|
|
|
|
|
enum ProcMode {PROC_MODE_NO_PROC=0, PROC_MODE_CPU=1, PROC_MODE_OCL_DIRECT=2, PROC_MODE_OCL_OCV=3};
|
|
|
|
extern "C" void processFrame(int tex1, int tex2, int w, int h, int mode)
|
|
{
|
|
switch(mode)
|
|
{
|
|
//case PROC_MODE_NO_PROC:
|
|
case PROC_MODE_CPU:
|
|
drawFrameProcCPU(w, h, tex2);
|
|
break;
|
|
case PROC_MODE_OCL_DIRECT:
|
|
procOCL_I2I(tex1, tex2, w, h);
|
|
break;
|
|
case PROC_MODE_OCL_OCV:
|
|
procOCL_OCV(tex1, tex2, w, h);
|
|
break;
|
|
default:
|
|
LOGE("Unexpected processing mode: %d", mode);
|
|
}
|
|
}
|