Fixes, missing files, tests
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122f85f352
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@ -92,11 +92,9 @@ bool HdrDecoder::readData(Mat& img)
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bool HdrDecoder::checkSignature( const String& signature ) const
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bool HdrDecoder::checkSignature( const String& signature ) const
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{
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{
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if(signature.size() >= (m_signature.size()) &&
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if(signature.size() >= m_signature.size() &&
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!memcmp(signature.c_str(), m_signature.c_str(), m_signature.size()))
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(!memcmp(signature.c_str(), m_signature.c_str(), m_signature.size()) ||
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return true;
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!memcmp(signature.c_str(), m_signature_alt.c_str(), m_signature_alt.size())))
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if(signature.size() >= (m_signature.size()) &&
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!memcmp(signature.c_str(), m_signature_alt.c_str(), m_signature_alt.size()))
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return true;
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return true;
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return false;
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return false;
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}
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}
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@ -47,6 +47,7 @@
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#include "precomp.hpp"
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#include "precomp.hpp"
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#include "grfmt_tiff.hpp"
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#include "grfmt_tiff.hpp"
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#include <opencv2/imgproc.hpp>
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namespace cv
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namespace cv
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{
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{
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@ -413,22 +414,13 @@ bool TiffDecoder::readHdrData(Mat& img)
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size -= strip_size * sizeof(float);
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size -= strip_size * sizeof(float);
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}
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}
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close();
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close();
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ptr = img.ptr<float>();
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for(size_t i = 0; i < img.total(); i++, ptr += 3)
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{
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if(photometric == PHOTOMETRIC_LOGLUV)
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if(photometric == PHOTOMETRIC_LOGLUV)
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{
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{
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float r = 3.240479f * ptr[0] + -1.537150f * ptr[1] + -0.498535f * ptr[2];
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cvtColor(img, img, COLOR_XYZ2BGR);
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float g = -0.969256f * ptr[0] + 1.875991f * ptr[1] + 0.041556f * ptr[2];
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float b = 0.055648f * ptr[0] + -0.204043f * ptr[1] + 1.057311f * ptr[2];
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ptr[0] = b; ptr[1] = g; ptr[2] = r;
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}
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}
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else
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else
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{
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{
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float tmp = ptr[0];
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cvtColor(img, img, COLOR_RGB2BGR);
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ptr[0] = ptr[2];
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ptr[2] = tmp;
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}
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}
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}
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return true;
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return true;
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}
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}
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@ -614,16 +606,10 @@ bool TiffEncoder::writeLibTiff( const Mat& img, const std::vector<int>& params)
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return true;
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return true;
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}
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}
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bool TiffEncoder::writeHdr(const Mat& img)
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bool TiffEncoder::writeHdr(const Mat& _img)
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{
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{
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float *ptr = const_cast<float*>(img.ptr<float>());
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Mat img;
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for(size_t i = 0; i < img.total(); i++, ptr += 3)
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cvtColor(_img, img, COLOR_BGR2XYZ);
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{
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float x = 0.412453f * ptr[2] + 0.357580f * ptr[1] + 0.180423f * ptr[0];
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float y = 0.212671f * ptr[2] + 0.715160f * ptr[1] + 0.072169f * ptr[0];
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float z = 0.019334f * ptr[2] + 0.119193f * ptr[1] + 0.950227f * ptr[0];
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ptr[0] = x; ptr[1] = y; ptr[2] = z;
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}
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TIFF* tif = TIFFOpen(m_filename.c_str(), "w");
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TIFF* tif = TIFFOpen(m_filename.c_str(), "w");
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if (!tif)
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if (!tif)
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{
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{
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@ -638,7 +624,7 @@ bool TiffEncoder::writeHdr(const Mat& img)
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TIFFSetField(tif, TIFFTAG_SGILOGDATAFMT, SGILOGDATAFMT_FLOAT);
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TIFFSetField(tif, TIFFTAG_SGILOGDATAFMT, SGILOGDATAFMT_FLOAT);
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TIFFSetField(tif, TIFFTAG_ROWSPERSTRIP, 1);
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TIFFSetField(tif, TIFFTAG_ROWSPERSTRIP, 1);
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int strip_size = 3 * img.cols;
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int strip_size = 3 * img.cols;
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ptr = const_cast<float*>(img.ptr<float>());
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float *ptr = const_cast<float*>(img.ptr<float>());
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for (int i = 0; i < img.rows; i++, ptr += strip_size)
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for (int i = 0; i < img.rows; i++, ptr += strip_size)
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{
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{
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TIFFWriteEncodedStrip(tif, i, ptr, strip_size * sizeof(float));
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TIFFWriteEncodedStrip(tif, i, ptr, strip_size * sizeof(float));
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@ -53,7 +53,7 @@ enum TiffCompression
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{
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{
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TIFF_UNCOMP = 1,
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TIFF_UNCOMP = 1,
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TIFF_HUFFMAN = 2,
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TIFF_HUFFMAN = 2,
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TIFF_PACKBITS = 32773,
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TIFF_PACKBITS = 32773
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};
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};
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enum TiffByteOrder
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enum TiffByteOrder
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@ -59,6 +59,20 @@ enum
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INPAINT_TELEA = 1 // A. Telea algorithm
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INPAINT_TELEA = 1 // A. Telea algorithm
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};
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};
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//! the tonemapping algorithm
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enum tonemap_algorithms
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{
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TONEMAP_LINEAR,
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TONEMAP_DRAGO, // Adaptive Logarithmic Mapping For
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// Displaying High Contrast Scenes
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TONEMAP_REINHARD, // Dynamic Range Reduction Inspired
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// by Photoreceptor Physiology
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TONEMAP_DURAND, // Fast Bilateral Filtering for the
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// Display of High-Dynamic-Range Images
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TONEMAP_COUNT
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};
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//! restores the damaged image areas using one of the available intpainting algorithms
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//! restores the damaged image areas using one of the available intpainting algorithms
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CV_EXPORTS_W void inpaint( InputArray src, InputArray inpaintMask,
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CV_EXPORTS_W void inpaint( InputArray src, InputArray inpaintMask,
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OutputArray dst, double inpaintRadius, int flags );
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OutputArray dst, double inpaintRadius, int flags );
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@ -80,7 +94,9 @@ CV_EXPORTS_W void fastNlMeansDenoisingColoredMulti( InputArrayOfArrays srcImgs,
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float h = 3, float hColor = 3,
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float h = 3, float hColor = 3,
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int templateWindowSize = 7, int searchWindowSize = 21);
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int templateWindowSize = 7, int searchWindowSize = 21);
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CV_EXPORTS_W void makeHDR(InputArrayOfArrays srcImgs, std::vector<float> expTimes, OutputArray dst);
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CV_EXPORTS_W void makeHDR(InputArrayOfArrays srcImgs, const std::vector<float>& exp_times, OutputArray dst);
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CV_EXPORTS_W void tonemap(InputArray src, OutputArray dst, tonemap_algorithms algorithm, std::vector<float>& params = std::vector<float>());
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} // cv
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} // cv
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@ -64,29 +64,34 @@ static void generateResponce(float responce[])
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responce[0] = responce[1];
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responce[0] = responce[1];
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}
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}
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void makeHDR(InputArrayOfArrays _images, std::vector<float> exp_times, OutputArray _dst)
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void makeHDR(InputArrayOfArrays _images, const std::vector<float>& _exp_times, OutputArray _dst)
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{
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{
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std::vector<Mat> images;
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std::vector<Mat> images;
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_images.getMatVector(images);
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_images.getMatVector(images);
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if(images.empty()) {
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if(images.empty()) {
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printf("Need at least one vector image.");
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CV_Error(Error::StsBadArg, "Need at least one image");
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}
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}
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if(images.size() != exp_times.size()) {
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if(images.size() != _exp_times.size()) {
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printf("Number of images and number of exposure times must be equal.");
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CV_Error(Error::StsBadArg, "Number of images and number of exposure times must be equal.");
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}
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}
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int width = images[0].cols;
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int width = images[0].cols;
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int height = images[0].rows;
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int height = images[0].rows;
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for(size_t i = 0; i < images.size(); i++) {
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for(size_t i = 0; i < images.size(); i++) {
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if(images[i].cols != width || images[i].rows != height) {
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if(images[i].cols != width || images[i].rows != height) {
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printf("Image dimensions must be equal.");
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CV_Error(Error::StsBadArg, "Image dimensions must be equal.");
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}
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}
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if(images[i].type() != CV_8UC3) {
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if(images[i].type() != CV_8UC3) {
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printf("Images must have CV_8UC3 type.");
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CV_Error(Error::StsBadArg, "Images must have CV_8UC3 type.");
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}
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}
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}
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}
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_dst.create(images[0].size(), CV_32FC3);
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_dst.create(images[0].size(), CV_32FC3);
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Mat result = _dst.getMat();
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Mat result = _dst.getMat();
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std::vector<float> exp_times(_exp_times.size());
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for(size_t i = 0; i < exp_times.size(); i++) {
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exp_times[i] = log(_exp_times[i]);
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}
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float weights[256], responce[256];
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float weights[256], responce[256];
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triangleWeights(weights);
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triangleWeights(weights);
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generateResponce(responce);
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generateResponce(responce);
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@ -104,7 +109,7 @@ void makeHDR(InputArrayOfArrays _images, std::vector<float> exp_times, OutputArr
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weights[img_ptr[2]]) / 3;
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weights[img_ptr[2]]) / 3;
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weight_sum += w;
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weight_sum += w;
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for(int channel = 0; channel < 3; channel++) {
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for(int channel = 0; channel < 3; channel++) {
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sum[channel] += w * (responce[img_ptr[channel]] - log(exp_times[im]));
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sum[channel] += w * (responce[img_ptr[channel]] - exp_times[im]);
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}
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}
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}
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}
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for(int channel = 0; channel < 3; channel++) {
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for(int channel = 0; channel < 3; channel++) {
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@ -72,7 +72,41 @@ TEST(Photo_MakeHdr, regression)
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Mat result;
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Mat result;
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makeHDR(images, times, result);
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makeHDR(images, times, result);
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double min = 0.0, max = 1.0;
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double max = 1.0;
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minMaxLoc(abs(result - expected), &min, &max);
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minMaxLoc(abs(result - expected), NULL, &max);
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ASSERT_TRUE(max < 0.01);
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ASSERT_TRUE(max < 0.01);
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}
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}
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TEST(Photo_Tonemap, regression)
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{
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string folder = string(cvtest::TS::ptr()->get_data_path()) + "hdr/";
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vector<string>file_names(TONEMAP_COUNT);
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file_names[TONEMAP_DRAGO] = folder + "grand_canal_drago_2.2.png";
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file_names[TONEMAP_REINHARD] = folder + "grand_canal_reinhard_2.2.png";
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file_names[TONEMAP_DURAND] = folder + "grand_canal_durand_2.2.png";
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file_names[TONEMAP_LINEAR] = folder + "grand_canal_linear_map_2.2.png";
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vector<Mat>images(TONEMAP_COUNT);
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for(int i = 0; i < TONEMAP_COUNT; i++) {
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images[i] = imread(file_names[i]);
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ASSERT_FALSE(images[i].empty()) << "Could not load input image " << file_names[i];
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}
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string hdr_file_name = folder + "grand_canal_rle.hdr";
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Mat img = imread(hdr_file_name, -1);
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ASSERT_FALSE(img.empty()) << "Could not load input image " << hdr_file_name;
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vector<float> param(1);
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param[0] = 2.2f;
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for(int i = TONEMAP_DURAND; i < TONEMAP_COUNT; i++) {
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Mat result;
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tonemap(img, result, static_cast<tonemap_algorithms>(i), param);
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result.convertTo(result, CV_8UC3, 255);
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double max = 1.0;
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minMaxLoc(abs(result - images[i]), NULL, &max);
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ASSERT_FALSE(max > 0);
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}
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}
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