cpp rgb 到 yuv422 的转换 [英] cpp rgb to yuv422 conversion
问题描述
我正在尝试将 RGB/RGBA 格式(可以更改)的图像(最初来自 QImage)转换为 YUV422 格式.我最初的意图是使用 OpenCV cvtColor 来完成这项工作但是不支持RGB/RGBA到422格式的转换.
I'm trying to convert an image (originally from QImage) in a RGB/RGBA format (can be changed) to a YUV422 format. My initial intention was to use OpenCV cvtColor to do the work but it does not enable the conversion of RGB/RGBA to 422 format.
我寻找替代方案，甚至考虑根据 这个 但它的工作速度不够快.
I searched for alternatives and even considered to write my own conversion according to this but it would not work fast enough.
我搜索了另一个要使用的库并找到了这篇文章，但它是旧的并且不太相关.
I searched for another library to use and found this post but it is relay old and not so relevant.
所以我的问题是对于 RGB->YUV422 转换我有哪些好的选择?如果他们在 GPU 而不是 CPU 上执行转换会更好.
So my question is what good options do I have for RGB->YUV422 conversions? It would be better if they perform conversions on the GPU instead of the CPU.
提前致谢
推荐答案
我使用 OpenCL 解决了我的问题，如下:教程:简单开始使用 OpenCL 和 C++
I solved my problem using OpenCL, following this: Tutorial: Simple start with OpenCL and C++
我将转换从 Format_ARGB32_Premultiplied 更改为 YUV422，但它可以轻松更改为任何格式.
I changed the conversion to be Format_ARGB32_Premultiplied to YUV422 but it can be easily changed to any format.
openclwrapper.h:
class OpenClWrapper
{
public:
OpenClWrapper(size_t width, size_t height);
~OpenClWrapper();
void RGB2YUV422(unsigned int * yuvImg, unsigned char * rgbImg);
private:
std::vector<cl::Platform> m_all_platforms;
std::vector<cl::Device> m_all_devices;
cl::Platform m_default_platform;
cl::Device m_default_device;
cl::Context m_context;
cl::Program::Sources m_sources;
cl::Program m_program;
cl::CommandQueue m_queue;
cl::Buffer m_buffer_yuv;
cl::Buffer m_buffer_rgb;
std::string m_kernel_code;
size_t m_width;
size_t m_height;
};
openclwrapper.cpp:
#include "openclwrapper.h"
#include <iostream>
#include <sstream>
OpenClWrapper::OpenClWrapper(size_t width, size_t height) :
m_height(height),
m_width(width)
{
//get all platforms (drivers)
cl::Platform::get(&m_all_platforms);
if(m_all_platforms.size()==0){
std::cout<<" No platforms found. Check OpenCL installation!\n";
exit(1);
}
m_default_platform=m_all_platforms[0];
//get default device of the default platform
m_default_platform.getDevices(CL_DEVICE_TYPE_ALL, &m_all_devices);
if(m_all_devices.size()==0){
std::cout<<" No devices found. Check OpenCL installation!\n";
exit(1);
}
m_default_device=m_all_devices[0];
m_context = *(new cl::Context({m_default_device}));
std::ostringstream oss;
oss <<
" void kernel RGB2YUV422(global const unsigned char rgbImg[" << m_height << "][" << m_width << "*4], global unsigned int yuvImg[" << m_height << "][" << m_width << "/2]){ \n"
" int x_idx = get_global_id(0); \n"
" int y_idx = get_global_id(1)*8; \n"
" int alpha1 = rgbImg[x_idx][y_idx+3]; \n"
" int alpha2 = rgbImg[x_idx][y_idx+7]; \n"
" unsigned char R1 = rgbImg[x_idx][y_idx+2] * (255 / alpha1); \n"
" unsigned char G1 = rgbImg[x_idx][y_idx+1] * (255 / alpha1); \n"
" unsigned char B1 = rgbImg[x_idx][y_idx] * (255 / alpha1); \n"
" unsigned char R2 = rgbImg[x_idx][y_idx+6] * (255 / alpha2); \n"
" unsigned char G2 = rgbImg[x_idx][y_idx+5] * (255 / alpha2); \n"
" unsigned char B2 = rgbImg[x_idx][y_idx+4] * (255 / alpha2); \n"
" unsigned char Y1 = (unsigned char)(0.299000*R1 + 0.587000*G1 + 0.114000*B1); \n"
" unsigned char Y2 = (unsigned char)(0.299000*R2 + 0.587000*G2 + 0.114000*B2); \n"
" unsigned char U = (unsigned char)(-0.168736*R1-0.331264*G1+0.500000*B1+128);//(0.492*(B1-Y1)); \n"
" unsigned char V = (unsigned char)(0.500000*R1-0.418688*G1-0.081312*B1+128);//(0.877*(R1-Y1)); \n"
" yuvImg[get_global_id(0)][get_global_id(1)] = (unsigned int)(Y2 << 24 | V << 16 | Y1 << 8 | U); \n"
" } ";
m_kernel_code = oss.str();
m_sources.push_back({m_kernel_code.c_str(),m_kernel_code.length()});
m_program = *(new cl::Program(m_context,m_sources));
if(m_program.build({m_default_device})!=CL_SUCCESS){
std::cout<<" Error building: "<<m_program.getBuildInfo<CL_PROGRAM_BUILD_LOG>(m_default_device)<<"\n";
exit(1);
}
// create buffers on the device
m_buffer_yuv = *(new cl::Buffer(m_context,CL_MEM_READ_WRITE,sizeof(unsigned int)*(m_width*m_height/2))); //each cell is int so it is 4 times the mem nedded, but each pixel is represented by 16 bits
m_buffer_rgb = *(new cl::Buffer(m_context,CL_MEM_READ_WRITE,sizeof(unsigned char)*(m_width*m_height*4))); // each pixel is represented by 4 bytes (alpha, RGB)
}
OpenClWrapper::~OpenClWrapper(){
free(&m_buffer_rgb);
free(&m_buffer_yuv);
}
void OpenClWrapper::RGB2YUV422(unsigned int * yuvImg, unsigned char * rgbImg){
cl::CommandQueue queue(m_context,m_default_device);
//write rgb image to the OpenCl buffer
queue.enqueueWriteBuffer(m_buffer_rgb,CL_TRUE,0,sizeof(unsigned char)*(m_width*m_height*4),rgbImg);
//run the kernel
cl::Kernel kernel_yuv2rgb=cl::Kernel(m_program,"RGB2YUV422");
kernel_yuv2rgb.setArg(0,m_buffer_rgb);
kernel_yuv2rgb.setArg(1,m_buffer_yuv);
queue.enqueueNDRangeKernel(kernel_yuv2rgb,cl::NullRange,cl::NDRange(m_height,(m_width/2)),cl::NullRange); //range is divided by 2 because we have width is represented in integers instead of 16bit (as needed in yuv422).
queue.finish();
//read result yuv Image from the device to yuv Image pointer
queue.enqueueReadBuffer(m_buffer_yuv,CL_TRUE,0,sizeof(unsigned int)*(m_width*m_height/2),yuvImg);
}
这篇关于cpp rgb 到 yuv422 的转换的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！
