553 lines
14 KiB
C++
553 lines
14 KiB
C++
#include "rawimage.h"
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#include <QDebug>
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#include <cstring>
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int THUMB_SIZE = 128;
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int THUMB_SIZE_BORDER = 138;
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int THUMB_SIZE_BORDER_Y = 158;
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double SATURATION = 0.95;
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size_t RawImage::typeSize(RawImage::DataType type)
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{
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switch(type)
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{
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case RawImage::UINT8:
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return 1;
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case RawImage::UINT16:
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return 2;
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case RawImage::UINT32:
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case RawImage::FLOAT32:
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return 4;
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case RawImage::FLOAT64:
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return 8;
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default: return 1;
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}
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}
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void RawImage::allocate(uint32_t w, uint32_t h, uint32_t ch, DataType type)
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{
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m_width = w;
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m_height = h;
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m_channels = ch;
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m_ch = ch == 3 ? 4 : ch;
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m_origType = m_type = type;
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m_pixels = std::make_unique<PixelType[]>(m_width * m_height * m_ch * typeSize(type));
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}
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RawImage::RawImage()
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{
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}
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RawImage::RawImage(uint32_t w, uint32_t h, uint32_t ch, DataType type)
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{
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allocate(w, h, ch, type);
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}
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RawImage::RawImage(const RawImage &d)
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{
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allocate(d.m_width, d.m_height, d.m_channels, d.m_type);
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std::memcpy(m_pixels.get(), d.m_pixels.get(), m_width * m_height * m_ch * typeSize(m_type));
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m_stats = d.m_stats;
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m_saturated = d.m_saturated;
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}
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RawImage::RawImage(RawImage &&d)
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{
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m_pixels = std::move(d.m_pixels);
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m_original = std::move(d.m_original);
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m_width = d.m_width;
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m_height = d.m_height;
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m_channels = d.m_channels;
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m_ch = d.m_ch;
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m_type = d.m_type;
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m_origType = d.m_origType;
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m_stats = d.m_stats;
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m_thumbAspect = d.m_thumbAspect;
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m_saturated = d.m_saturated;
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}
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RawImage::RawImage(const QImage &img)
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{
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qDebug() << img;
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if(img.format() == QImage::Format_RGBX8888)
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{
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allocate(img.width(), img.height(), 3, UINT8);
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for(int i=0; i<img.height(); i++)
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std::memcpy(data(i), img.scanLine(i), img.width()*4);
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}
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else if(img.format() == QImage::Format_RGBA8888)
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{
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allocate(img.width(), img.height(), 4, UINT8);
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for(int i=0; i<img.height(); i++)
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std::memcpy(data(i), img.scanLine(i), img.width()*4);
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}
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else if(img.format() == QImage::Format_RGBX64)
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{
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allocate(img.width(), img.height(), 3, UINT16);
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for(int i=0; i<img.height(); i++)
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std::memcpy(data(i), img.scanLine(i), img.width()*8);
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}
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else if(img.format() == QImage::Format_RGBA64)
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{
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allocate(img.width(), img.height(), 4, UINT16);
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for(int i=0; i<img.height(); i++)
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std::memcpy(data(i), img.scanLine(i), img.width()*8);
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}
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else if(img.format() == QImage::Format_Grayscale8)
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{
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allocate(img.width(), img.height(), 1, UINT8);
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for(int i=0; i<img.height(); i++)
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std::memcpy(data(i), img.scanLine(i), img.width());
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}
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else if(img.format() == QImage::Format_Grayscale16)
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{
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allocate(img.width(), img.height(), 1, UINT16);
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for(int i=0; i<img.height(); i++)
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std::memcpy(data(i), img.scanLine(i), img.width()*2);
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}
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else
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{
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QImage tmp = img.convertToFormat(QImage::Format_RGBA8888);
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allocate(img.width(), img.height(), 4, UINT8);
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for(int i=0; i<tmp.height(); i++)
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std::memcpy(data(i), tmp.scanLine(i), tmp.width()*4);
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}
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m_stats.m_stats = false;
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}
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bool RawImage::imageStats(double *mean, double *stdDev, double *median, double *min, double *max, double *mad, uint32_t *saturated)
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{
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if(!m_stats.m_stats)calcStats();
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if(mean)*mean = m_stats.m_mean[0];
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if(stdDev)*stdDev = m_stats.m_stdDev[0];
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if(median)*median = m_stats.m_median[0];
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if(min)*min = m_stats.m_min[0];
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if(max)*max = m_stats.m_max[0];
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if(mad)*mad = m_stats.m_mad[0];
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if(saturated)*saturated = m_saturated;
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return true;
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}
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void RawImage::calcStats()
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{
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if(m_stats.m_stats)return;
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m_stats.m_stats = true;
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/*cv::Scalar meanS, stdDevS;
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cv::meanStdDev(m_img, meanS, stdDevS);
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cv::minMaxIdx(m_img, &m_min, &m_max);
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cv::Mat img;
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if(m_img.channels() == 1)img = m_img;
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else if (m_img.channels() == 3)cv::cvtColor(m_img, img, cv::COLOR_BGR2GRAY);
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else if (m_img.channels() == 4)cv::cvtColor(m_img, img, cv::COLOR_BGRA2GRAY);
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int histSize = 256;
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if(img.type() == CV_16U || img.type() == CV_32F)histSize = 65536;
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float range[] = {0, (float)histSize};
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if(img.type() == CV_32F)range[1] = 1.0f;
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const float *ranges[] = {range};
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cv::Mat hist;
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cv::calcHist(&img, 1, nullptr, cv::Mat(), hist, 1, &histSize, ranges);
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m_mean = meanS[0];
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m_stdDev = stdDevS[0];
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size_t halfImageSize = size()/2;
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size_t medianSum = 0;
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for(int i=0; i < histSize; i++)
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{
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medianSum += hist.at<float>(0, i);
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if(medianSum >= halfImageSize)
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{
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m_median = i;
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break;
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}
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}
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if(img.type() == CV_32F)m_median /= histSize;
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int threshold = SATURATION * histSize;
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m_saturated = 0;
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for(int i = histSize-1; i >= threshold; i--)
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m_saturated += hist.at<float>(0, i);
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cv::Mat absDev;
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img.convertTo(absDev, CV_32F, 1, -m_median);
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absDev = cv::abs(absDev);
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cv::Mat madHist;
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medianSum = 0;
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cv::calcHist(&absDev, 1, nullptr, cv::Mat(), madHist, 1, &histSize, ranges);
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for(int i=0; i < histSize; i++)
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{
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medianSum += madHist.at<float>(0, i);
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if(medianSum >= halfImageSize)
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{
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m_mad = i;
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break;
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}
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}
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if(img.type() == CV_32F)m_mad /= histSize;*/
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}
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void RawImage::rect(int &x, int &y, int w, int h, std::vector<double> &r) const
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{
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/*r.resize(w*h);
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x -= w/2;
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y -= h/2;
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if(x<0)x = 0;
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if(y<0)y = 0;
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if(x+w >= m_img.cols)x = m_img.cols-w;
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if(y+h >= m_img.rows)y = m_img.rows-h;
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cv::Mat roiImg(m_img, cv::Rect(x, y, w, h));
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cv::Mat doubleMat;
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roiImg.convertTo(doubleMat, CV_64F);
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r = std::vector<double>(doubleMat.begin<double>(), doubleMat.end<double>());*/
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}
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int RawImage::findPeaks(double background, double distance, std::vector<Peak> &peaks) const
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{
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/*std::vector<std::vector<cv::Point>> contours;
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cv::Mat kernel = cv::getStructuringElement(cv::MORPH_RECT, cv::Size(distance, distance));
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cv::Mat img, mask, dilate, locMax, result;
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if(m_img.channels() == 1)img = m_img;
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else cv::cvtColor(m_img, img, cv::COLOR_RGB2GRAY);
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cv::dilate(img, dilate, kernel);
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cv::compare(img, dilate, locMax, cv::CMP_GE);
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cv::compare(img, cv::Scalar(background), mask, cv::CMP_GT);
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cv::bitwise_and(locMax, mask, result);
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cv::findContours(result, contours, cv::noArray(), cv::RETR_EXTERNAL, cv::CHAIN_APPROX_SIMPLE);
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peaks.reserve(contours.size());
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for(auto contour : contours)
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{
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peaks.push_back(Peak(1, contour[0].x, contour[0].y));
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}
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return peaks.size();*/
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}
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uint32_t RawImage::width() const
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{
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return m_width;
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}
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uint32_t RawImage::height() const
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{
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return m_height;
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}
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uint32_t RawImage::channels() const
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{
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return m_channels;
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}
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uint32_t RawImage::size() const
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{
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return width()*height();
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}
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RawImage::DataType RawImage::type() const
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{
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return m_type;
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}
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uint32_t RawImage::norm() const
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{
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switch(m_type)
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{
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case UINT8:
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return UINT8_MAX;
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case UINT16:
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return UINT16_MAX;
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case UINT32:
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return UINT32_MAX;
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default:
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return 1;
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}
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}
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void* RawImage::data()
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{
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return m_pixels.get();
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}
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const void *RawImage::data() const
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{
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return m_pixels.get();
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}
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void *RawImage::data(uint32_t row, uint32_t col)
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{
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return m_pixels.get() + (m_width * row * m_ch + col * m_ch) * typeSize(m_type);
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}
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const void *RawImage::data(uint32_t row, uint32_t col) const
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{
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return m_pixels.get() + (m_width * row * m_ch + col * m_ch) * typeSize(m_type);
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}
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void *RawImage::origData(uint32_t row, uint32_t col) const
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{
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if(m_original)
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return m_original.get() + (m_width * row * m_ch + col * m_ch) * typeSize(m_origType);
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else
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return m_pixels.get() + (m_width * row * m_ch + col * m_ch) * typeSize(m_type);
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}
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void RawImage::convertToThumbnail()
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{
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m_thumbAspect = (float)width() / height();
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std::unique_ptr<PixelType[]> outptr = std::make_unique<PixelType[]>(THUMB_SIZE * THUMB_SIZE * 4 * sizeof(uint16_t));
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uint16_t *out = reinterpret_cast<uint16_t*>(outptr.get());
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auto loop = [&](uint16_t *out, auto *in, auto scale)
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{
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for(int i=0; i<THUMB_SIZE; i++)
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{
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for(int o=0; o<THUMB_SIZE; o++)
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{
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int idx = (i*THUMB_SIZE + o)*4;
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int idx2 = ((i * m_height / THUMB_SIZE * m_width) + (o * m_width / THUMB_SIZE)) * m_ch;
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if(m_channels == 1)
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{
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out[idx] = out[idx + 1] = out[idx + 2] = in[idx2] * scale;
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}
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else
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{
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out[idx] = in[idx2] * scale;;
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out[idx + 1] = in[idx2 + 1] * scale;;
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out[idx + 2] = in[idx2 + 2] * scale;;
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}
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out[idx + 3] = UINT16_MAX;
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}
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}
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};
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switch(m_type)
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{
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case UINT8:
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loop(out, reinterpret_cast<uint8_t*>(m_pixels.get()), 256);
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break;
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case UINT16:
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loop(out, reinterpret_cast<uint16_t*>(m_pixels.get()), 1);
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break;
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case UINT32:
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loop(out, reinterpret_cast<uint32_t*>(m_pixels.get()), UINT16_MAX/(float)UINT32_MAX);
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break;
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case FLOAT32:
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loop(out, reinterpret_cast<float*>(m_pixels.get()), 65535.0);
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break;
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default:
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qWarning() << "FLOAT64 should not happend";
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return;
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}
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m_pixels = std::move(outptr);
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m_width = THUMB_SIZE;
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m_height = THUMB_SIZE;
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m_ch = 4;
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m_channels = 3;
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m_type = UINT16;
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}
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void RawImage::convertToGLFormat()
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{
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size_t s = size() * m_ch;
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if(m_type == UINT32)
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{
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m_original = std::move(m_pixels);
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allocate(m_width, m_height, m_channels, FLOAT32);
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m_origType = UINT32;
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float *dst = reinterpret_cast<float*>(m_pixels.get());
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uint32_t *src = reinterpret_cast<uint32_t*>(m_original.get());
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for(size_t i = 0; i < s; i++)
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dst[i] = src[i] / (float)UINT32_MAX;
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}
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else if(m_type == FLOAT64)
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{
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m_original = std::move(m_pixels);
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allocate(m_width, m_height, m_channels, FLOAT32);
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m_origType = FLOAT64;
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float *dst = reinterpret_cast<float*>(m_pixels.get());
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double *src = reinterpret_cast<double*>(m_original.get());
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for(size_t i = 0; i < s; i++)
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dst[i] = src[i];
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}
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}
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float RawImage::thumbAspect() const
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{
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return m_thumbAspect;
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}
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bool RawImage::pixel(int x, int y, double &r, double &g, double &b) const
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{
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if(x < 0 || y < 0 || x >= (int)width() || y >= (int)height())return false;
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switch(m_origType)
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{
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case UINT8:
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{
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const uint8_t *v = static_cast<const uint8_t*>(origData(y, x));
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if(m_channels == 1)
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{
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r = g = b = *v;
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}
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else
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{
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r = v[0];
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g = v[1];
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b = v[2];
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}
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break;
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}
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case UINT16:
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{
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const uint16_t *v = static_cast<const uint16_t*>(origData(y, x));
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if(m_channels == 1)
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{
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r = g = b = *v;
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}
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else
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{
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r = v[0];
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g = v[1];
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b = v[2];
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}
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break;
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}
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case UINT32:
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{
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const uint32_t *v = static_cast<const uint32_t*>(origData(y, x));
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if(m_channels == 1)
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{
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r = g = b = *v;
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}
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else
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{
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r = v[0];
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g = v[1];
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b = v[2];
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}
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break;
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}
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case FLOAT32:
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{
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const float *v = static_cast<const float*>(origData(y, x));
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if(m_channels == 1)
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{
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r = g = b = *v;
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}
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else
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{
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r = v[0];
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g = v[1];
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b = v[2];
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}
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break;
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}
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case FLOAT64:
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{
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const double *v = static_cast<const double*>(origData(y, x));
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if(m_channels == 1)
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{
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r = g = b = *v;
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}
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else
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{
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r = v[0];
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g = v[1];
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b = v[2];
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}
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break;
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}
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}
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return true;
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}
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void RawImage::scaleToUnit()
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{
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/*if(CV_MAT_DEPTH(m_img.type()) == CV_32F)
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{
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double min, max;
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cv::minMaxIdx(m_img, &min, &max);
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if(min < 0 || max > 1)
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{
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float scale = 1.0 / (max - min);
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float zero = min * scale;
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m_img = m_img * scale - zero;
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}
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}*/
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}
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void RawImage::downscaleTo(uint32_t size)
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{
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/*if(size < width() || size < height())
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{
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double s = (double)size / std::max(width(), height());
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cv::Size dsize(std::floor(width() * s), std::floor(height() * s));
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cv::resize(m_img, m_img, dsize, 0, 0, cv::INTER_AREA);
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}*/
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}
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std::shared_ptr<RawImage> RawImage::fromPlanar(const RawImage &img)
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{
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return RawImage::fromPlanar(img.data(), img.width(), img.height(), img.channels(), img.type());
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}
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std::shared_ptr<RawImage> RawImage::fromPlanar(const void *pixels, uint32_t w, uint32_t h, uint32_t ch, RawImage::DataType type)
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{
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std::shared_ptr<RawImage> image = std::make_shared<RawImage>(w, h, ch, type);
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size_t size = w * h;
|
|
size_t ch2 = ch == 1 ? 1 : 4;
|
|
auto convert = [&](auto *in, auto *out, auto alpha)
|
|
{
|
|
for(size_t i=0; i<size; i++)
|
|
for(size_t o=0; o<ch; o++)
|
|
out[i*ch2 + o] = in[o*size + i];
|
|
|
|
if(ch != ch2)
|
|
for(size_t i=0; i<size; i++)
|
|
out[i*ch2 + 3] = alpha;
|
|
};
|
|
|
|
switch(type)
|
|
{
|
|
case UINT8:
|
|
convert(static_cast<const uint8_t*>(pixels), static_cast<uint8_t*>(image->data()), UINT8_MAX);
|
|
break;
|
|
case UINT16:
|
|
convert(static_cast<const uint16_t*>(pixels), static_cast<uint16_t*>(image->data()), UINT16_MAX);
|
|
break;
|
|
case UINT32:
|
|
convert(static_cast<const uint32_t*>(pixels), static_cast<uint32_t*>(image->data()), UINT32_MAX);
|
|
break;
|
|
case FLOAT32:
|
|
convert(static_cast<const float*>(pixels), static_cast<float*>(image->data()), 1);
|
|
break;
|
|
case FLOAT64:
|
|
convert(static_cast<const double*>(pixels), static_cast<double*>(image->data()), 1);
|
|
break;
|
|
}
|
|
|
|
return image;
|
|
}
|
|
|
|
std::vector<RawImage> RawImage::split() const
|
|
{
|
|
std::vector<RawImage> planes;
|
|
planes.resize(m_channels);
|
|
for(size_t i=0; i<m_channels; i++)
|
|
planes[i].allocate(m_width, m_height, 1, m_type);
|
|
|
|
|
|
|
|
return planes;
|
|
}
|