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gammasRGB finished

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WilliamLiuAtCPC 3 years ago committed by GitHub
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include/hdrplus/finish.h
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#pragma once
#include <opencv2/opencv.hpp> // all opencv header
#include <string>
#include <fstream>
#include <sstream>
#include <unordered_map>
#include <hdrplus/bayer_image.h>
#include <dirent.h>
#include <hdrplus/params.h>
namespace hdrplus
{
uint16_t uGammaCompress_1pix(float x, float threshold,float gainMin,float gainMax,float exponent);
uint16_t uGammaDecompress_1pix(float x, float threshold,float gainMin,float gainMax,float exponent);
cv::Mat uGammaCompress_(cv::Mat m,float threshold,float gainMin,float gainMax,float exponent);
cv::Mat uGammaDecompress_(cv::Mat m,float threshold,float gainMin,float gainMax,float exponent);
cv::Mat gammasRGB(cv::Mat img, bool mode);
class finish
class Finish
{
public:
finish() = default;
cv::Mat mergedBayer; // merged image from Merge Module
std::string burstPath; // path to burst images
std::vector<std::string> rawPathList; // a list or array of the path to all burst imgs under burst Path
int refIdx; // index of the reference img
Parameters params;
cv::Mat rawReference;
// LibRaw libraw_processor_finish;
bayer_image* refBayer;
Finish() = default;
Finish(std::string burstPath, cv::Mat mergedBayer,int refIdx){
this->refIdx = refIdx;
this->burstPath = burstPath;
this->mergedBayer = mergedBayer;
}
Finish(std::string burstPath, std::string mergedBayerPath,int refIdx){
this->refIdx = refIdx;
this->burstPath = burstPath;
this->mergedBayer = loadFromCSV(mergedBayerPath, CV_16UC1);//
load_rawPathList(burstPath);
refBayer= new bayer_image(this->rawPathList[refIdx]);
this->rawReference = refBayer->raw_image;//;grayscale_image
// initialize parameters in libraw_processor_finish
setLibRawParams();
// cv::Mat rawRefGray = refBayer.grayscale_image;
showParams();
// showRawPathList();
// showImg(rawRefGray);
// showMat(rawReference);
// showMat(mergedBayer);
std::cout<<"Finish init() finished!"<<std::endl;
}
~Finish() = default;
// finish pipeline func
void pipeline_finish();
// replace Mat a with Mat b
void copy_mat_16U(cv::Mat& A, cv::Mat B);
void copy_rawImg2libraw(std::shared_ptr<LibRaw>& libraw_ptr, cv::Mat B);
// postprocess
// cv::Mat postprocess(std::shared_ptr<LibRaw>& libraw_ptr);
void showImg(cv::Mat img)
{
int ch = CV_MAT_CN(CV_8UC1);
// cv::Mat tmp(4208,3120,CV_16UC1);
cv::Mat tmp(img);
// u_int16_t* ptr_tmp = (u_int16_t*)tmp.data;
// u_int16_t* ptr_img = (u_int16_t*)img.data;
// // col major to row major
// for(int r = 0; r < tmp.rows; r++) {
// for(int c = 0; c < tmp.cols; c++) {
// *(ptr_tmp+r*tmp.cols+c) = *(ptr_img+c*tmp.rows+r)/2048.0*255.0;
// }
// }
// std::cout<<"height="<<tmp.rows<<std::endl;
// std::cout<<"width="<<tmp.cols<<std::endl;
// cv::transpose(tmp, tmp);
u_int16_t* ptr = (u_int16_t*)tmp.data;
for(int r = 0; r < tmp.rows; r++) {
for(int c = 0; c < tmp.cols; c++) {
*(ptr+r*tmp.cols+c) = *(ptr+r*tmp.cols+c)/2048.0*255.0;
}
}
tmp = tmp.reshape(ch);
tmp.convertTo(tmp, CV_8UC1);
cv::imshow("test",tmp);
cv::imwrite("test2.jpg", tmp);
cv::waitKey(0);
std::cout<< this->mergedBayer.size()<<std::endl;
}
void showMat(cv::Mat img){
std::cout<<"size="<<img.size()<<std::endl;
std::cout<<"type="<<img.type()<<std::endl;
}
void showParams()
{
std::cout<<"Parameters:"<<std::endl;
std::cout<<"tuning_ltmGain = "<<this->params.tuning_ltmGain<<std::endl;
std::cout<<"tuning_gtmContrast = "<<this->params.tuning_gtmContrast<<std::endl;
for(auto key_val:this->params.flags){
std::cout<<key_val.first<<","<<key_val.second<<std::endl;
}
std::cout<<"demosaic_algorithm = "<<refBayer->libraw_processor->imgdata.params.user_qual<<std::endl;
std::cout<<"half_size = "<<refBayer->libraw_processor->imgdata.params.half_size<<std::endl;
std::cout<<"use_camera_wb = "<<refBayer->libraw_processor->imgdata.params.use_camera_wb<<std::endl;
std::cout<<"use_auto_wb = "<<refBayer->libraw_processor->imgdata.params.use_auto_wb<<std::endl;
std::cout<<"no_auto_bright = "<<refBayer->libraw_processor->imgdata.params.no_auto_bright<<std::endl;
std::cout<<"output_color = "<<refBayer->libraw_processor->imgdata.params.output_color <<std::endl;
std::cout<<"gamma[0] = "<<refBayer->libraw_processor->imgdata.params.gamm[0]<<std::endl;
std::cout<<"gamma[1] = "<<refBayer->libraw_processor->imgdata.params.gamm[1]<<std::endl;
std::cout<<"output_bps = "<<refBayer->libraw_processor->imgdata.params.output_bps<<std::endl;
// std::cout<<"demosaic_algorithm = "<<libraw_processor_finish.imgdata.params.user_qual<<std::endl;
// std::cout<<"half_size = "<<libraw_processor_finish.imgdata.params.half_size<<std::endl;
// std::cout<<"use_camera_wb = "<<libraw_processor_finish.imgdata.params.use_camera_wb<<std::endl;
// std::cout<<"use_auto_wb = "<<libraw_processor_finish.imgdata.params.use_auto_wb<<std::endl;
// std::cout<<"no_auto_bright = "<<libraw_processor_finish.imgdata.params.no_auto_bright<<std::endl;
// std::cout<<"output_color = "<<libraw_processor_finish.imgdata.params.output_color <<std::endl;
// std::cout<<"gamma[0] = "<<libraw_processor_finish.imgdata.params.gamm[0]<<std::endl;
// std::cout<<"gamma[1] = "<<libraw_processor_finish.imgdata.params.gamm[1]<<std::endl;
// std::cout<<"output_bps = "<<libraw_processor_finish.imgdata.params.output_bps<<std::endl;
std::cout<<"===================="<<std::endl;
}
void showRawPathList(){
std::cout<<"RawPathList:"<<std::endl;
for(auto pth:this->rawPathList){
std::cout<<pth<<std::endl;
}
std::cout<<"===================="<<std::endl;
}
private:
cv::Mat loadFromCSV(const std::string& path, int opencv_type)
{
cv::Mat m;
std::ifstream csvFile (path);
std::string line;
while (getline(csvFile, line))
{
std::vector<int> dvals;
std::stringstream ss(line);
std::string val;
// int count=0;
while (getline(ss, val, ','))
{
dvals.push_back(stod(val));//*255.0/2048.0
// count++;
}
// std::cout<<count<<std::endl;
cv::Mat mline(dvals, true);
cv::transpose(mline, mline);
m.push_back(mline);
}
int ch = CV_MAT_CN(opencv_type);
m = m.reshape(ch);
m.convertTo(m, opencv_type);
return m;
}
void load_rawPathList(std::string burstPath){
DIR *pDir; // pointer to root
struct dirent *ptr;
if (!(pDir = opendir(burstPath.c_str()))) {
std::cout<<"root dir not found!"<<std::endl;
return;
}
while ((ptr = readdir(pDir)) != nullptr) {
// ptr will move to the next file automatically
std::string sub_file = burstPath + "/" + ptr->d_name; // current filepath that ptr points to
if (ptr->d_type != 8 && ptr->d_type != 4) { // not normal file or dir
return;
}
// only need normal files
if (ptr->d_type == 8) {
if (strcmp(ptr->d_name, ".") != 0 && strcmp(ptr->d_name, "..") != 0) {
if (strstr(ptr->d_name, ".dng")) {
rawPathList.emplace_back(sub_file);
}
}
}
}
// close root dir
closedir(pDir);
}
void setLibRawParams(){
refBayer->libraw_processor->imgdata.params.user_qual = params.rawpyArgs.demosaic_algorithm;
refBayer->libraw_processor->imgdata.params.half_size = params.rawpyArgs.half_size;
refBayer->libraw_processor->imgdata.params.use_camera_wb = params.rawpyArgs.use_camera_wb;
refBayer->libraw_processor->imgdata.params.use_auto_wb = params.rawpyArgs.use_auto_wb;
refBayer->libraw_processor->imgdata.params.no_auto_bright = params.rawpyArgs.no_auto_bright;
refBayer->libraw_processor->imgdata.params.output_color = params.rawpyArgs.output_color;
refBayer->libraw_processor->imgdata.params.gamm[0] = params.rawpyArgs.gamma[0];
refBayer->libraw_processor->imgdata.params.gamm[1] = params.rawpyArgs.gamma[1];
refBayer->libraw_processor->imgdata.params.output_bps = params.rawpyArgs.output_bps;
}
};
} // namespace hdrplus

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