/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // Intel License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2000, Intel Corporation, all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // * The name of Intel Corporation may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors "as is" and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ #include "precomp.hpp" // GDAL Macros #include "cvconfig.h" #ifdef HAVE_GDAL // Our Header #include "grfmt_gdal.hpp" /// C++ Standard Libraries #include #include #include namespace cv{ /** * Convert GDAL Palette Interpretation to OpenCV Pixel Type */ int gdalPaletteInterpretation2OpenCV( GDALPaletteInterp const& paletteInterp, GDALDataType const& gdalType ){ switch( paletteInterp ){ /// GRAYSCALE case GPI_Gray: if( gdalType == GDT_Byte ){ return CV_8UC1; } if( gdalType == GDT_UInt16 ){ return CV_16UC1; } if( gdalType == GDT_Int16 ){ return CV_16SC1; } if( gdalType == GDT_UInt32 ){ return CV_32SC1; } if( gdalType == GDT_Int32 ){ return CV_32SC1; } if( gdalType == GDT_Float32 ){ return CV_32FC1; } if( gdalType == GDT_Float64 ){ return CV_64FC1; } return -1; /// RGB case GPI_RGB: if( gdalType == GDT_Byte ){ return CV_8UC1; } if( gdalType == GDT_UInt16 ){ return CV_16UC3; } if( gdalType == GDT_Int16 ){ return CV_16SC3; } if( gdalType == GDT_UInt32 ){ return CV_32SC3; } if( gdalType == GDT_Int32 ){ return CV_32SC3; } if( gdalType == GDT_Float32 ){ return CV_32FC3; } if( gdalType == GDT_Float64 ){ return CV_64FC3; } return -1; /// otherwise default: return -1; } } /** * Convert gdal type to opencv type */ int gdal2opencv( const GDALDataType& gdalType, const int& channels ){ switch( gdalType ){ /// UInt8 case GDT_Byte: if( channels == 1 ){ return CV_8UC1; } if( channels == 3 ){ return CV_8UC3; } if( channels == 4 ){ return CV_8UC4; } else { return CV_8UC(channels); } return -1; /// UInt16 case GDT_UInt16: if( channels == 1 ){ return CV_16UC1; } if( channels == 3 ){ return CV_16UC3; } if( channels == 4 ){ return CV_16UC4; } else { return CV_16UC(channels); } return -1; /// Int16 case GDT_Int16: if( channels == 1 ){ return CV_16SC1; } if( channels == 3 ){ return CV_16SC3; } if( channels == 4 ){ return CV_16SC4; } else { return CV_16SC(channels); } return -1; /// UInt32 case GDT_UInt32: case GDT_Int32: if( channels == 1 ){ return CV_32SC1; } if( channels == 3 ){ return CV_32SC3; } if( channels == 4 ){ return CV_32SC4; } else { return CV_32SC(channels); } return -1; default: std::cout << "Unknown GDAL Data Type" << std::endl; std::cout << "Type: " << GDALGetDataTypeName(gdalType) << std::endl; return -1; } return -1; } /** * GDAL Decoder Constructor */ GdalDecoder::GdalDecoder(){ // set a dummy signature m_signature="0"; for( size_t i=0; i<160; i++ ){ m_signature += "0"; } /// Register the driver GDALAllRegister(); m_driver = NULL; m_dataset = NULL; } /** * GDAL Decoder Destructor */ GdalDecoder::~GdalDecoder(){ if( m_dataset != NULL ){ close(); } } /** * Convert data range */ double range_cast( const GDALDataType& gdalType, const int& cvDepth, const double& value ) { // uint8 -> uint8 if( gdalType == GDT_Byte && cvDepth == CV_8U ){ return value; } // uint8 -> uint16 if( gdalType == GDT_Byte && (cvDepth == CV_16U || cvDepth == CV_16S)){ return (value*256); } // uint8 -> uint32 if( gdalType == GDT_Byte && (cvDepth == CV_32F || cvDepth == CV_32S)){ return (value*16777216); } // int16 -> uint8 if( (gdalType == GDT_UInt16 || gdalType == GDT_Int16) && cvDepth == CV_8U ){ return std::floor(value/256.0); } // int16 -> int16 if( (gdalType == GDT_UInt16 || gdalType == GDT_Int16) && ( cvDepth == CV_16U || cvDepth == CV_16S )){ return value; } std::cout << GDALGetDataTypeName( gdalType ) << std::endl; std::cout << "warning: unknown range cast requested." << std::endl; return (value); } /** * There are some better mpl techniques for doing this. */ void write_pixel( const double& pixelValue, const GDALDataType& gdalType, const int& gdalChannels, Mat& image, const int& row, const int& col, const int& channel ){ // convert the pixel double newValue = range_cast(gdalType, image.depth(), pixelValue ); // input: 1 channel, output: 1 channel if( gdalChannels == 1 && image.channels() == 1 ){ if( image.depth() == CV_8U ){ image.ptr(row)[col] = newValue; } else if( image.depth() == CV_16U ){ image.ptr(row)[col] = newValue; } else if( image.depth() == CV_16S ){ image.ptr(row)[col] = newValue; } else if( image.depth() == CV_32S ){ image.ptr(row)[col] = newValue; } else if( image.depth() == CV_32F ){ image.ptr(row)[col] = newValue; } else if( image.depth() == CV_64F ){ image.ptr(row)[col] = newValue; } else{ throw std::runtime_error("Unknown image depth, gdal: 1, img: 1"); } } // input: 1 channel, output: 3 channel else if( gdalChannels == 1 && image.channels() == 3 ){ if( image.depth() == CV_8U ){ image.ptr(row)[col] = Vec3b(newValue,newValue,newValue); } else if( image.depth() == CV_16U ){ image.ptr(row)[col] = Vec3s(newValue,newValue,newValue); } else if( image.depth() == CV_16S ){ image.ptr(row)[col] = Vec3s(newValue,newValue,newValue); } else if( image.depth() == CV_32S ){ image.ptr(row)[col] = Vec3i(newValue,newValue,newValue); } else if( image.depth() == CV_32F ){ image.ptr(row)[col] = Vec3f(newValue,newValue,newValue); } else if( image.depth() == CV_64F ){ image.ptr(row)[col] = Vec3d(newValue,newValue,newValue); } else{ throw std::runtime_error("Unknown image depth, gdal:1, img: 3"); } } // input: 3 channel, output: 1 channel else if( gdalChannels == 3 && image.channels() == 1 ){ if( image.depth() == CV_8U ){ image.ptr(row)[col] += (newValue/3.0); } else{ throw std::runtime_error("Unknown image depth, gdal:3, img: 1"); } } // input: 4 channel, output: 1 channel else if( gdalChannels == 4 && image.channels() == 1 ){ if( image.depth() == CV_8U ){ image.ptr(row)[col] = newValue; } else{ throw std::runtime_error("Unknown image depth, gdal: 4, image: 1"); } } // input: 3 channel, output: 3 channel else if( gdalChannels == 3 && image.channels() == 3 ){ if( image.depth() == CV_8U ){ image.at(row,col)[channel] = newValue; } else if( image.depth() == CV_16U ){ image.ptr(row,col)[channel] = newValue; } else if( image.depth() == CV_16S ){ image.ptr(row,col)[channel] = newValue; } else if( image.depth() == CV_32S ){ image.ptr(row,col)[channel] = newValue; } else if( image.depth() == CV_32F ){ image.ptr(row,col)[channel] = newValue; } else if( image.depth() == CV_64F ){ image.ptr(row,col)[channel] = newValue; } else{ throw std::runtime_error("Unknown image depth, gdal: 3, image: 3"); } } // input: 4 channel, output: 3 channel else if( gdalChannels == 4 && image.channels() == 3 ){ if( channel >= 4 ){ return; } else if( image.depth() == CV_8U && channel < 4 ){ image.ptr(row,col)[channel] = newValue; } else if( image.depth() == CV_16U && channel < 4 ){ image.ptr(row,col)[channel] = newValue; } else if( image.depth() == CV_16S && channel < 4 ){ image.ptr(row,col)[channel] = newValue; } else if( image.depth() == CV_32S && channel < 4 ){ image.ptr(row,col)[channel] = newValue; } else if( image.depth() == CV_32F && channel < 4 ){ image.ptr(row,col)[channel] = newValue; } else if( image.depth() == CV_64F && channel < 4 ){ image.ptr(row,col)[channel] = newValue; } else{ throw std::runtime_error("Unknown image depth, gdal: 4, image: 3"); } } // input: 4 channel, output: 4 channel else if( gdalChannels == 4 && image.channels() == 4 ){ if( image.depth() == CV_8U ){ image.at(row,col)[channel] = newValue; } else{ throw std::runtime_error("Unknown image depth, gdal: 4, image: 4"); } } // input: > 4 channels, output: > 4 channels else if( gdalChannels > 4 && image.channels() > 4 ){ if( image.depth() == CV_8U ){ image.ptr(row,col)[channel] = newValue; } else if( image.depth() == CV_16U ){ image.ptr(row,col)[channel] = newValue; } else if( image.depth() == CV_16S ){ image.ptr(row,col)[channel] = newValue; } else if( image.depth() == CV_32S ){ image.ptr(row,col)[channel] = newValue; } else if( image.depth() == CV_32F ){ image.ptr(row,col)[channel] = newValue; } else if( image.depth() == CV_64F ){ image.ptr(row,col)[channel] = newValue; } else{ throw std::runtime_error("Unknown image depth, gdal: N, img: N"); } } // otherwise, throw an error else{ throw std::runtime_error("error: can't convert types."); } } void write_ctable_pixel( const double& pixelValue, const GDALDataType& gdalType, GDALColorTable const* gdalColorTable, Mat& image, const int& y, const int& x, const int& c ){ if( gdalColorTable == NULL ){ write_pixel( pixelValue, gdalType, 1, image, y, x, c ); } // if we are Grayscale, then do a straight conversion if( gdalColorTable->GetPaletteInterpretation() == GPI_Gray ){ write_pixel( pixelValue, gdalType, 1, image, y, x, c ); } // if we are rgb, then convert here else if( gdalColorTable->GetPaletteInterpretation() == GPI_RGB ){ // get the pixel short r = gdalColorTable->GetColorEntry( (int)pixelValue )->c1; short g = gdalColorTable->GetColorEntry( (int)pixelValue )->c2; short b = gdalColorTable->GetColorEntry( (int)pixelValue )->c3; short a = gdalColorTable->GetColorEntry( (int)pixelValue )->c4; write_pixel( r, gdalType, 4, image, y, x, 2 ); write_pixel( g, gdalType, 4, image, y, x, 1 ); write_pixel( b, gdalType, 4, image, y, x, 0 ); if( image.channels() > 3 ){ write_pixel( a, gdalType, 4, image, y, x, 1 ); } } // otherwise, set zeros else{ write_pixel( pixelValue, gdalType, 1, image, y, x, c ); } } /** * read data */ bool GdalDecoder::readData( Mat& img ){ // make sure the image is the proper size if( img.size().height != m_height ){ return false; } if( img.size().width != m_width ){ return false; } // make sure the raster is alive if( m_dataset == NULL || m_driver == NULL ){ return false; } // set the image to zero img = 0; // iterate over each raster band // note that OpenCV does bgr rather than rgb int nChannels = m_dataset->GetRasterCount(); GDALColorTable* gdalColorTable = NULL; if( m_dataset->GetRasterBand(1)->GetColorTable() != NULL ){ gdalColorTable = m_dataset->GetRasterBand(1)->GetColorTable(); } const GDALDataType gdalType = m_dataset->GetRasterBand(1)->GetRasterDataType(); int nRows, nCols; if( nChannels > img.channels() ){ nChannels = img.channels(); } for( int c = 0; cGetRasterBand(c+1); // make sure the image band has the same dimensions as the image if( band->GetXSize() != m_width || band->GetYSize() != m_height ){ return false; } // grab the raster size nRows = band->GetYSize(); nCols = band->GetXSize(); // create a temporary scanline pointer to store data double* scanline = new double[nCols]; // iterate over each row and column for( int y=0; yRasterIO( GF_Read, 0, y, nCols, 1, scanline, nCols, 1, GDT_Float64, 0, 0); // set inside the image for( int x=0; xGetRasterCount() <= 0 ){ return false; } //extract the driver infomation m_driver = m_dataset->GetDriver(); // if the driver failed, then exit if( m_driver == NULL ){ return false; } // get the image dimensions m_width = m_dataset->GetRasterXSize(); m_height= m_dataset->GetRasterYSize(); // make sure we have at least one band/channel if( m_dataset->GetRasterCount() <= 0 ){ return false; } // check if we have a color palette int tempType; if( m_dataset->GetRasterBand(1)->GetColorInterpretation() == GCI_PaletteIndex ){ // remember that we have a color palette hasColorTable = true; // if the color tables does not exist, then we failed if( m_dataset->GetRasterBand(1)->GetColorTable() == NULL ){ return false; } // otherwise, get the pixeltype else{ // convert the palette interpretation to opencv type tempType = gdalPaletteInterpretation2OpenCV( m_dataset->GetRasterBand(1)->GetColorTable()->GetPaletteInterpretation(), m_dataset->GetRasterBand(1)->GetRasterDataType() ); if( tempType == -1 ){ return false; } m_type = tempType; } } // otherwise, we have standard channels else{ // remember that we don't have a color table hasColorTable = false; // convert the datatype to opencv tempType = gdal2opencv( m_dataset->GetRasterBand(1)->GetRasterDataType(), m_dataset->GetRasterCount() ); if( tempType == -1 ){ return false; } m_type = tempType; } return true; } /** * Close the module */ void GdalDecoder::close(){ GDALClose((GDALDatasetH)m_dataset); m_dataset = NULL; m_driver = NULL; } /** * Create a new decoder */ ImageDecoder GdalDecoder::newDecoder()const{ return makePtr(); } /** * Test the file signature */ bool GdalDecoder::checkSignature( const String& signature )const{ // look for NITF std::string str = signature.c_str(); if( str.substr(0,4).find("NITF") != std::string::npos ){ return true; } // look for DTED if( str.substr(140,4) == "DTED" ){ return true; } return false; } } /// End of cv Namespace #endif /**< End of HAVE_GDAL Definition */