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https://github.com/opencv/opencv.git
synced 2025-06-07 17:44:04 +08:00
imgproc: fixed imread with output image argument, minor refactoring, fixes in HDR
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2624929ec6
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@ -93,10 +93,18 @@ bool HdrDecoder::readData(Mat& _img)
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RGBE_ReadPixels_RLE(file, const_cast<float*>(img.ptr<float>()), img.cols, img.rows);
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fclose(file); file = NULL;
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if(_img.depth() == img.depth()) {
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img.convertTo(_img, _img.type());
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} else {
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img.convertTo(_img, _img.type(), 255);
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// NOTE: 'img' has type CV32FC3
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switch (_img.depth())
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{
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case CV_8U: img.convertTo(img, _img.depth(), 255); break;
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case CV_32F: break;
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default: CV_Error(Error::StsError, "Wrong expected image depth, allowed: CV_8U and CV_32F");
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}
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switch (_img.channels())
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{
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case 1: cvtColor(img, _img, COLOR_BGR2GRAY); break;
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case 3: img.copyTo(_img); break;
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default: CV_Error(Error::StsError, "Wrong expected image channels, allowed: 1 and 3");
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}
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return true;
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}
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@ -81,6 +81,22 @@ static Size validateInputImageSize(const Size& size)
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}
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static inline int calcType(int type, int flags)
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{
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if( (flags & IMREAD_LOAD_GDAL) != IMREAD_LOAD_GDAL && flags != IMREAD_UNCHANGED )
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{
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if( (flags & IMREAD_ANYDEPTH) == 0 )
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type = CV_MAKETYPE(CV_8U, CV_MAT_CN(type));
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if( (flags & IMREAD_COLOR) != 0 ||
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((flags & IMREAD_ANYCOLOR) != 0 && CV_MAT_CN(type) > 1) )
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type = CV_MAKETYPE(CV_MAT_DEPTH(type), 3);
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else
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type = CV_MAKETYPE(CV_MAT_DEPTH(type), 1);
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}
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return type;
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}
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namespace {
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class ByteStreamBuffer: public std::streambuf
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@ -328,7 +344,7 @@ static ImageEncoder findEncoder( const String& _ext )
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}
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static void ExifTransform(int orientation, Mat& img)
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static void ExifTransform(int orientation, OutputArray img)
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{
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switch( orientation )
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{
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@ -365,7 +381,7 @@ static void ExifTransform(int orientation, Mat& img)
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}
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}
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static void ApplyExifOrientation(ExifEntry_t orientationTag, Mat& img)
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static void ApplyExifOrientation(ExifEntry_t orientationTag, OutputArray img)
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{
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int orientation = IMAGE_ORIENTATION_TL;
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@ -385,7 +401,7 @@ static void ApplyExifOrientation(ExifEntry_t orientationTag, Mat& img)
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*
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*/
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static bool
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imread_( const String& filename, int flags, Mat& mat )
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imread_( const String& filename, int flags, OutputArray mat )
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{
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/// Search for the relevant decoder to handle the imagery
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ImageDecoder decoder;
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@ -444,18 +460,7 @@ imread_( const String& filename, int flags, Mat& mat )
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Size size = validateInputImageSize(Size(decoder->width(), decoder->height()));
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// grab the decoded type
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int type = decoder->type();
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if( (flags & IMREAD_LOAD_GDAL) != IMREAD_LOAD_GDAL && flags != IMREAD_UNCHANGED )
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{
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if( (flags & IMREAD_ANYDEPTH) == 0 )
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type = CV_MAKETYPE(CV_8U, CV_MAT_CN(type));
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if( (flags & IMREAD_COLOR) != 0 ||
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((flags & IMREAD_ANYCOLOR) != 0 && CV_MAT_CN(type) > 1) )
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type = CV_MAKETYPE(CV_MAT_DEPTH(type), 3);
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else
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type = CV_MAKETYPE(CV_MAT_DEPTH(type), 1);
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}
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const int type = calcType(decoder->type(), flags);
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if (mat.empty())
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{
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@ -469,12 +474,17 @@ imread_( const String& filename, int flags, Mat& mat )
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}
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// read the image data
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Mat real_mat = mat.getMat();
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const void * original_ptr = real_mat.data;
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bool success = false;
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try
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{
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if (decoder->readData(mat))
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if (decoder->readData(real_mat))
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{
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CV_CheckTrue(original_ptr == real_mat.data, "Internal imread issue");
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success = true;
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}
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}
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catch (const cv::Exception& e)
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{
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CV_LOG_ERROR(NULL, "imread_('" << filename << "'): can't read data: " << e.what());
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@ -567,18 +577,7 @@ imreadmulti_(const String& filename, int flags, std::vector<Mat>& mats, int star
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while (current < count)
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{
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// grab the decoded type
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int type = decoder->type();
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if ((flags & IMREAD_LOAD_GDAL) != IMREAD_LOAD_GDAL && flags != IMREAD_UNCHANGED)
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{
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if ((flags & IMREAD_ANYDEPTH) == 0)
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type = CV_MAKETYPE(CV_8U, CV_MAT_CN(type));
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if ((flags & IMREAD_COLOR) != 0 ||
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((flags & IMREAD_ANYCOLOR) != 0 && CV_MAT_CN(type) > 1))
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type = CV_MAKETYPE(CV_MAT_DEPTH(type), 3);
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else
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type = CV_MAKETYPE(CV_MAT_DEPTH(type), 1);
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}
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const int type = calcType(decoder->type(), flags);
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// established the required input image size
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Size size = validateInputImageSize(Size(decoder->width(), decoder->height()));
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@ -645,10 +644,8 @@ void imread( const String& filename, OutputArray dst, int flags )
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{
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CV_TRACE_FUNCTION();
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Mat img = dst.getMat();
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/// load the data
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imread_(filename, flags, img);
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imread_(filename, flags, dst);
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}
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/**
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@ -884,18 +881,7 @@ imdecode_( const Mat& buf, int flags, Mat& mat )
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// established the required input image size
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Size size = validateInputImageSize(Size(decoder->width(), decoder->height()));
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int type = decoder->type();
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if( (flags & IMREAD_LOAD_GDAL) != IMREAD_LOAD_GDAL && flags != IMREAD_UNCHANGED )
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{
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if( (flags & IMREAD_ANYDEPTH) == 0 )
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type = CV_MAKETYPE(CV_8U, CV_MAT_CN(type));
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if( (flags & IMREAD_COLOR) != 0 ||
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((flags & IMREAD_ANYCOLOR) != 0 && CV_MAT_CN(type) > 1) )
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type = CV_MAKETYPE(CV_MAT_DEPTH(type), 3);
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else
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type = CV_MAKETYPE(CV_MAT_DEPTH(type), 1);
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}
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const int type = calcType(decoder->type(), flags);
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mat.create( size.height, size.width, type );
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@ -1046,18 +1032,7 @@ imdecodemulti_(const Mat& buf, int flags, std::vector<Mat>& mats, int start, int
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while (current < count)
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{
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// grab the decoded type
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int type = decoder->type();
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if ((flags & IMREAD_LOAD_GDAL) != IMREAD_LOAD_GDAL && flags != IMREAD_UNCHANGED)
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{
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if ((flags & IMREAD_ANYDEPTH) == 0)
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type = CV_MAKETYPE(CV_8U, CV_MAT_CN(type));
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if ((flags & IMREAD_COLOR) != 0 ||
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((flags & IMREAD_ANYCOLOR) != 0 && CV_MAT_CN(type) > 1))
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type = CV_MAKETYPE(CV_MAT_DEPTH(type), 3);
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else
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type = CV_MAKETYPE(CV_MAT_DEPTH(type), 1);
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}
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const int type = calcType(decoder->type(), flags);
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// established the required input image size
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Size size = validateInputImageSize(Size(decoder->width(), decoder->height()));
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@ -1316,17 +1291,7 @@ bool ImageCollection::Impl::readHeader() {
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// readHeader must be called before calling this method
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Mat ImageCollection::Impl::readData() {
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int type = m_decoder->type();
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if ((m_flags & IMREAD_LOAD_GDAL) != IMREAD_LOAD_GDAL && m_flags != IMREAD_UNCHANGED) {
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if ((m_flags & IMREAD_ANYDEPTH) == 0)
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type = CV_MAKETYPE(CV_8U, CV_MAT_CN(type));
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if ((m_flags & IMREAD_COLOR) != 0 ||
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((m_flags & IMREAD_ANYCOLOR) != 0 && CV_MAT_CN(type) > 1))
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type = CV_MAKETYPE(CV_MAT_DEPTH(type), 3);
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else
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type = CV_MAKETYPE(CV_MAT_DEPTH(type), 1);
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}
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const int type = calcType(m_decoder->type(), m_flags);
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// established the required input image size
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Size size = validateInputImageSize(Size(m_width, m_height));
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@ -7,19 +7,6 @@ namespace opencv_test { namespace {
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#if defined(HAVE_PNG) || defined(HAVE_SPNG)
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TEST(Imgcodecs_Png, imread_passing_mat)
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{
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const string root = cvtest::TS::ptr()->get_data_path();
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const string imgName = root + "../cv/shared/lena.png";
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Mat ref = imread(imgName);
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Mat img(ref.size(), ref.type());
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void* ptr = img.data;
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imread(imgName, img);
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EXPECT_EQ(cv::norm(ref, img, NORM_INF), 0);
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EXPECT_EQ(img.data, ptr);
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}
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TEST(Imgcodecs_Png, write_big)
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{
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const string root = cvtest::TS::ptr()->get_data_path();
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@ -282,6 +282,35 @@ TEST(Imgcodecs_Image, regression_9376)
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EXPECT_EQ(32, m.rows);
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}
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TEST(Imgcodecs_Image, imread_overload)
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{
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const string root = cvtest::TS::ptr()->get_data_path();
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const string imgName = findDataFile("../highgui/readwrite/ordinary.bmp");
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Mat ref = imread(imgName);
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ASSERT_FALSE(ref.empty());
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{
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Mat img(ref.size(), ref.type(), Scalar::all(0)); // existing image
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void * ptr = img.data;
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imread(imgName, img);
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ASSERT_FALSE(img.empty());
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EXPECT_EQ(cv::norm(ref, img, NORM_INF), 0);
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EXPECT_EQ(img.data, ptr); // no reallocation
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}
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{
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Mat img; // empty image
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imread(imgName, img);
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ASSERT_FALSE(img.empty());
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EXPECT_EQ(cv::norm(ref, img, NORM_INF), 0);
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}
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{
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UMat img; // empty UMat
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imread(imgName, img);
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ASSERT_FALSE(img.empty());
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EXPECT_EQ(cv::norm(ref, img, NORM_INF), 0);
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}
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}
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//==================================================================================================
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TEST(Imgcodecs_Image, write_umat)
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