Image Quality Analysis (IQA) API#

Classes#

Name

Description

class cv::quality::QualityBase

Class cv::quality::QualityBase#

#include <opencv2/quality/qualitybase.hpp>

Collaboration diagram for cv::quality::QualityBase:

cv::quality::QualityBase Node1 cv::quality::QualityBase   + ~QualityBase() + clear() + compute() + empty() + getQualityMap() Node2 cv::Algorithm   + Algorithm() + ~Algorithm() + clear() + empty() + getDefaultName() + read() + save() + write() + write() + load() + loadFromString() + read() # writeFormat() Node2->Node1 Node3 cv::UMat   + UMat() + UMat() + UMat() + UMat() + UMat() + UMat() + UMat() + UMat() + UMat() + UMat() and 67 more... + diag() + eye() + eye() + getStdAllocator() + ones() + ones() + ones() + ones() + zeros() + zeros() + zeros() + zeros() Node3->Node1 #_qualityMap Node4 int     Node4->Node3 +cols +dims +flags +rows Node5 cv::MatAllocator   + MatAllocator() + ~MatAllocator() + allocate() + allocate() + copy() + deallocate() + download() + getBufferPoolController() + map() + unmap() + upload() Node5->Node3 +allocator Node6 UMatUsageFlags     Node6->Node3 +usageFlags Node7 UMatData *     Node7->Node3 +u Node8 size_t     Node8->Node3 +offset Node9 MatSize     Node9->Node3 +size Node10 MatStep     Node10->Node3 +step

cv::quality::QualityBase Node1 cv::quality::QualityBase   + ~QualityBase() + clear() + compute() + empty() + getQualityMap() Node2 cv::Algorithm   + Algorithm() + ~Algorithm() + clear() + empty() + getDefaultName() + read() + save() + write() + write() + load() + loadFromString() + read() # writeFormat() Node2->Node1 Node3 cv::UMat   + UMat() + UMat() + UMat() + UMat() + UMat() + UMat() + UMat() + UMat() + UMat() + UMat() and 67 more... + diag() + eye() + eye() + getStdAllocator() + ones() + ones() + ones() + ones() + zeros() + zeros() + zeros() + zeros() Node3->Node1 #_qualityMap Node4 int     Node4->Node3 +cols +dims +flags +rows Node5 cv::MatAllocator   + MatAllocator() + ~MatAllocator() + allocate() + allocate() + copy() + deallocate() + download() + getBufferPoolController() + map() + unmap() + upload() Node5->Node3 +allocator Node6 UMatUsageFlags     Node6->Node3 +usageFlags Node7 UMatData *     Node7->Node3 +u Node8 size_t     Node8->Node3 +offset Node9 MatSize     Node9->Node3 +size Node10 MatStep     Node10->Node3 +step

Public Member Functions#

Public Member Functions inherited from cv::Algorithm

Return

Name

Description

Algorithm()

~Algorithm()

void

clear()

Clears the algorithm state.

bool

empty()

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.

String

getDefaultName()

void

read(const FileNode & fn)

Reads algorithm parameters from a file storage.

void

save(const String & filename)

void

write(
    const Ptr< FileStorage > & fs,
    const String & name = String() )

void

write(FileStorage & fs)

Stores algorithm parameters in a file storage.

void

write(
    FileStorage & fs,
    const String & name )

Static Public Member Functions#

Static Public Member Functions inherited from cv::Algorithm

Return

Name

Description

static Ptr< _Tp >

load(
    const String & filename,
    const String & objname = String() )

Loads algorithm from the file.

static Ptr< _Tp >

loadFromString(
    const String & strModel,
    const String & objname = String() )

Loads algorithm from a String.

static Ptr< _Tp >

read(const FileNode & fn)

Reads algorithm from the file node.

Additional Inherited Members#

Protected Member Functions inherited from cv::Algorithm

Return

Name

Description

void

writeFormat(FileStorage & fs)

Member Typedef Documentation#

_mat_type#

typedef cv::UMat cv::quality::QualityBase::_mat_type

internal mat type default

Constructor & Destructor Documentation#

~QualityBase()#

cv::quality::QualityBase::~QualityBase()

Destructor.

Member Function Documentation#

clear()#

void cv::quality::QualityBase::clear()

Python:

cv.quality.QualityBase.clear()

Implements Algorithm::clear()

compute()#

cv::Scalar cv::quality::QualityBase::compute(InputArray img)

Python:

cv.quality.QualityBase.compute(img) -> retval

Compute quality score per channel with the per-channel score in each element of the resulting cv::Scalar. See specific algorithm for interpreting result scores.

Parameters

  • img — comparison image, or image to evalute for no-reference quality algorithms

empty()#

bool cv::quality::QualityBase::empty()

Python:

cv.quality.QualityBase.empty() -> retval

Implements Algorithm::empty()

getQualityMap()#

void cv::quality::QualityBase::getQualityMap(OutputArray dst)

Python:

cv.quality.QualityBase.getQualityMap([, dst]) -> dst

Returns output quality map that was generated during computation, if supported by the algorithm

Here is the call graph for this function:

cv::quality::QualityBase::getQualityMap Node1 cv::quality::QualityBase ::getQualityMap Node2 cv::_OutputArray::assign Node1->Node2 Node3 cv::_OutputArray::needed Node1->Node3

cv::quality::QualityBase::getQualityMap Node1 cv::quality::QualityBase ::getQualityMap Node2 cv::_OutputArray::assign Node1->Node2 Node3 cv::_OutputArray::needed Node1->Node3

Member Data Documentation#

_qualityMap#

_mat_type cv::quality::QualityBase::_qualityMap

Output quality maps if generated by algorithm.

Source file#

The documentation for this class was generated from the following file: