OpenCV453
|
A class to find the positions of the ColorCharts in the image. [詳解]
#include <checker_detector.hpp>
cv::Algorithmを継承しています。
公開メンバ関数 | |
virtual CV_WRAP bool | setNet (dnn::Net net)=0 |
Set the net which will be used to find the approximate bounding boxes for the color charts. [詳解] | |
CV_WRAP_AS (processWithROI) virtual bool process(InputArray image | |
Find the ColorCharts in the given image. [詳解] | |
virtual CV_WRAP bool | process (InputArray image, const TYPECHART chartType, const int nc=1, bool useNet=false, const Ptr< DetectorParameters > ¶ms=DetectorParameters::create())=0 |
Find the ColorCharts in the given image. [詳解] | |
virtual CV_WRAP Ptr< mcc::CChecker > | getBestColorChecker ()=0 |
Get the best color checker. By the best it means the one detected with the highest confidence. [詳解] | |
virtual CV_WRAP std::vector< Ptr< CChecker > > | getListColorChecker ()=0 |
Get the list of all detected colorcheckers [詳解] | |
![]() | |
virtual CV_WRAP void | clear () |
Clears the algorithm state [詳解] | |
virtual void | write (FileStorage &fs) const |
Stores algorithm parameters in a file storage [詳解] | |
CV_WRAP void | write (const Ptr< FileStorage > &fs, const String &name=String()) const |
simplified API for language bindings これはオーバーロードされたメンバ関数です。利便性のために用意されています。元の関数との違いは引き数のみです。 | |
virtual CV_WRAP void | read (const FileNode &fn) |
Reads algorithm parameters from a file storage [詳解] | |
virtual CV_WRAP bool | empty () const |
Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read [詳解] | |
virtual CV_WRAP void | save (const String &filename) const |
virtual CV_WRAP String | getDefaultName () const |
静的公開メンバ関数 | |
static CV_WRAP Ptr< CCheckerDetector > | create () |
Returns the implementation of the CCheckerDetector. | |
![]() | |
template<typename _Tp > | |
static Ptr< _Tp > | read (const FileNode &fn) |
Reads algorithm from the file node [詳解] | |
template<typename _Tp > | |
static Ptr< _Tp > | load (const String &filename, const String &objname=String()) |
Loads algorithm from the file [詳解] | |
template<typename _Tp > | |
static Ptr< _Tp > | loadFromString (const String &strModel, const String &objname=String()) |
Loads algorithm from a String [詳解] | |
公開変数類 | |
const TYPECHART | chartType |
const TYPECHART const std::vector< Rect > & | regionsOfInterest |
const TYPECHART const std::vector< Rect > const int | nc = 1 |
const TYPECHART const std::vector< Rect > const int bool | useNet = false |
const TYPECHART const std::vector< Rect > const int bool const Ptr< DetectorParameters > & | params = DetectorParameters::create()) = 0 |
その他の継承メンバ | |
![]() | |
void | writeFormat (FileStorage &fs) const |
A class to find the positions of the ColorCharts in the image.
cv::mcc::CCheckerDetector::CV_WRAP_AS | ( | processWithROI | ) |
Find the ColorCharts in the given image.
The found charts are not returned but instead stored in the detector, these can be accessed later on using getBestColorChecker() and getListColorChecker()
image | image in color space BGR |
chartType | type of the chart to detect |
regionsOfInterest | regions of image to look for the chart, if it is empty, charts are looked for in the entire image |
nc | number of charts in the image, if you don't know the exact then keeping this number high helps. |
useNet | if it is true the network provided using the setNet() is used for preliminary search for regions where chart could be present, inside the regionsOfInterest provied. |
params | parameters of the detection system. More information about them can be found in the struct DetectorParameters. |
|
pure virtual |
Get the best color checker. By the best it means the one detected with the highest confidence.
|
pure virtual |
Get the list of all detected colorcheckers
|
pure virtual |
Find the ColorCharts in the given image.
Differs from the above one only in the arguments.
This version searches for the chart in the full image.
The found charts are not returned but instead stored in the detector, these can be accessed later on using getBestColorChecker() and getListColorChecker()
image | image in color space BGR |
chartType | type of the chart to detect |
nc | number of charts in the image, if you don't know the exact then keeping this number high helps. |
useNet | if it is true the network provided using the setNet() is used for preliminary search for regions where chart could be present, inside the regionsOfInterest provied. |
params | parameters of the detection system. More information about them can be found in the struct DetectorParameters. |
|
pure virtual |
Set the net which will be used to find the approximate bounding boxes for the color charts.
It is not necessary to use this, but this usually results in better detection rate.
net | the neural network, if the network in empty, then the function will return false. |