本文整理汇总了C++中ImageDecoder::setScale方法的典型用法代码示例。如果您正苦于以下问题：C++ ImageDecoder::setScale方法的具体用法？C++ ImageDecoder::setScale怎么用？C++ ImageDecoder::setScale使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类ImageDecoder的用法示例。
在下文中一共展示了ImageDecoder::setScale方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: if
/**
* Read an image into memory and return the information
*
* @param[in] filename File to load
* @param[in] flags Flags
* @param[in] hdrtype { LOAD_CVMAT=0,
* LOAD_IMAGE=1,
* LOAD_MAT=2
* }
* @param[in] mat Reference to C++ Mat object (If LOAD_MAT)
* @param[in] scale_denom Scale value
*
*/
static void*
imread_( const String& filename, int flags, int hdrtype, Mat* mat=0 )
{
IplImage* image = 0;
CvMat *matrix = 0;
Mat temp, *data = &temp;
/// Search for the relevant decoder to handle the imagery
ImageDecoder decoder;
#ifdef HAVE_GDAL
if(flags != IMREAD_UNCHANGED && (flags & IMREAD_LOAD_GDAL) == IMREAD_LOAD_GDAL ){
decoder = GdalDecoder().newDecoder();
}else{
#endif
decoder = findDecoder( filename );
#ifdef HAVE_GDAL
}
#endif
/// if no decoder was found, return nothing.
if( !decoder ){
return 0;
}
int scale_denom = 1;
if( flags > IMREAD_LOAD_GDAL )
{
if( flags & IMREAD_REDUCED_GRAYSCALE_2 )
scale_denom = 2;
else if( flags & IMREAD_REDUCED_GRAYSCALE_4 )
scale_denom = 4;
else if( flags & IMREAD_REDUCED_GRAYSCALE_8 )
scale_denom = 8;
}
/// set the scale_denom in the driver
decoder->setScale( scale_denom );
/// set the filename in the driver
decoder->setSource( filename );
// read the header to make sure it succeeds
if( !decoder->readHeader() )
return 0;
// established the required input image size
CvSize size;
size.width = decoder->width();
size.height = decoder->height();
// grab the decoded type
int type = decoder->type();
if( (flags & IMREAD_LOAD_GDAL) != IMREAD_LOAD_GDAL && flags != IMREAD_UNCHANGED )
{
if( (flags & CV_LOAD_IMAGE_ANYDEPTH) == 0 )
type = CV_MAKETYPE(CV_8U, CV_MAT_CN(type));
if( (flags & CV_LOAD_IMAGE_COLOR) != 0 ||
((flags & CV_LOAD_IMAGE_ANYCOLOR) != 0 && CV_MAT_CN(type) > 1) )
type = CV_MAKETYPE(CV_MAT_DEPTH(type), 3);
else
type = CV_MAKETYPE(CV_MAT_DEPTH(type), 1);
}
if( hdrtype == LOAD_CVMAT || hdrtype == LOAD_MAT )
{
if( hdrtype == LOAD_CVMAT )
{
matrix = cvCreateMat( size.height, size.width, type );
temp = cvarrToMat( matrix );
}
else
{
mat->create( size.height, size.width, type );
data = mat;
}
}
else
{
image = cvCreateImage( size, cvIplDepth(type), CV_MAT_CN(type) );
temp = cvarrToMat( image );
}
// read the image data
if( !decoder->readData( *data ))
{
//.........这里部分代码省略.........