Changed dp calculation

This commit is contained in:
Raphael Maenle
2018-01-20 09:40:03 +01:00
parent 1c85bee091
commit 7a3b33455d
13 changed files with 57 additions and 259 deletions

View File

@ -1,7 +1,3 @@
//
// Created by mpapa on 05.12.2017.
//
#include "DestructionPower.h"
//TODO! Add more layers here!
@ -39,6 +35,8 @@ bool DestructionPower::RemoveConstraintOnPosition(const coor constraintCoordinat
//gets destruction power from left and from top if possible and normalizes
void DestructionPower::DestructionOfSurrounding(const coor constraintCoordinate) {
for(int i = 0; i < m_constraintMatrix[constraintCoordinate.col][constraintCoordinate.row].DestructionArray.size(); ++i)
m_constraintMatrix[constraintCoordinate.col][constraintCoordinate.row].DestructionArray.pop_back();
for (int i = 0; i < DESTRUCTION_COUNT; ++i) {
m_constraintMatrix[constraintCoordinate.col][constraintCoordinate.row].DestructionArray.push_back(0);

View File

@ -1,10 +1,6 @@
//
// Created by mpapa on 05.12.2017.
//
#pragma once
//TODO!! increase Destructioncount
#define DESTRUCTION_COUNT 2
#define DESTRUCTION_COUNT 1
#include "DestructionPower_Properties.h"
#include "../AbstraktionLayer_Base.h"

View File

@ -1,6 +1,3 @@
//
// Created by mpapa on 05.12.2017.
//
#pragma once
#define DESTRUCTION_INIT 0.5

View File

@ -46,6 +46,8 @@ bool AbstractionLayer_1::PreProcessing(coor mySize, const vector<Part*>* partAr
//it through qualityVector and removes all that do not trigger PlaceOfPartGood
bool AbstractionLayer_1::EvaluateQuality (const coor constraintCoordinate, qualityVector& qVector)
{
if(constraintCoordinate.row==23 && constraintCoordinate.col==35)
cout << "in" << endl;
//evaluateQuality = evaluateProbabilaty
for(int i = 0;i<qVector.size();i++)
{
@ -69,6 +71,20 @@ bool AbstractionLayer_1::RemoveConstraintOnPosition(const coor constraintCoordin
m_constraintMatrix[constraintCoordinate.col+1][constraintCoordinate.row+1].m_connections=0b11111111;
}
int AbstractionLayer_1::RemoveSimilar(qualityVector& qVector,uint8_t& constraints)
{
//
for(int i=0;i<qVector.size();)
{
if(qVector[i].second->m_a1.m_connections==constraints)
qVector.erase(qVector.begin()+i);
else
i++;
}
}
void AbstractionLayer_1::CreateRandomPuzzle()
{
std::minstd_rand simple_rand;
@ -182,7 +198,11 @@ bool AbstractionLayer_1::PlaceOfPartGood(coor myCoor, uint8_t& myPart)
|| ((((negativePart & 0b00000011) == 0b00000011) || ((myPart & 0b00000011) == 0b00000011)) && (((myPart & 0b00000011) != 0b00000000) && (negativePart & 0b00000011) != 0b00000000))
|| (((negativePart & 0b00000011) == 0b00000000) && ((myPart & 0b00000011) == 0b00000000)) )
)
{
if(myCoor.row==18 && myCoor.col==35)
cout << "gud: " << std::bitset<8>(myPart) << endl;
return true;
}
return false;
}

View File

@ -49,6 +49,8 @@ public:
bool EvaluateQuality ( coor constraintCoordinate, qualityVector& qVector)override;
bool SetConstraintOnPosition( coor constraintCoordinate, AbstractionLayer_1_Properties constraint)override;
bool RemoveConstraintOnPosition( coor constraintCoordinate)override;
int RemoveSimilar(qualityVector&,uint8_t&);
bool PlaceOfPartGood(coor myCoor, uint8_t& myPart);
void shift(uint8_t& Part, int shifts);
void setEdgeZero();

View File

@ -1,158 +0,0 @@
//
// Created by Niko on 1/11/2018.
//
#include "../../../header.h"
#include "AbstractionLayer_Histogram.h"
using namespace cv;
Mat HistogramComparer::readImages(int count)
{
char name[100];
Mat corr;
Mat ref_gray;
sprintf(name, PATH, count);
Mat src = imread(name, 1);
if (!src.data)
{
cerr << "Problem loading image!!!" << endl;
return src;
}
if(DISPLAY)imshow("src",src);
Mat im_color;
cvtColor(src, im_color, COLOR_BGR2HSV);
return im_color;
}
bool AbstractionLayer_Histogram::PreProcessing(coor mySize, const vector<Part*>* partArray){
HistogramComparer localImage;
cout << "Abstraction 2 Preprocessing... " << flush;
const vector<Part*>& ref_partArray = *partArray;
analyseParts analyse(mySize.row*mySize.col);
Part buf;
int iterator=0;
if(!analyse.getImages())
{
cerr << "Error occured in getImages!" << endl;
return false;
}
else // hier werden alle vier verschiedenen Rotationsarten 'gleichzeitig' abgespeichert
//TODO rows and cols
for(int i = 0; i < mySize.row*mySize.col; i++)
{
Mat src_img1 = localImage.readImages(i);
Mat hsv_img1;
/// Convert to HSV
cvtColor(src_img1, hsv_img1, COLOR_BGR2HSV);
/// Using 50 bins for hue and 60 for saturation
int h_bins = 50;
int s_bins = 60;
int histSize[] = {h_bins, s_bins};
// hue varies from 0 to 179, saturation from 0 to 255
float h_ranges[] = {0, 180};
float s_ranges[] = {0, 256};
const float *ranges[] = {h_ranges, s_ranges};
// Use the o-th and 1-st channels
int channels[] = {0, 1};
/// Histograms
MatND hist_img1;
/// Calculate the histograms for the HSV images
calcHist(&hsv_img1, 1, channels, Mat(), hist_img1, 2, histSize, ranges, true, false);
// normalize(hist_img1, hist_img1, 0, 1, NORM_MINMAX, -1, Mat());
ref_partArray[iterator]->m_Histogram.image=hsv_img1;
iterator++;
}
InitialiseConstraintMatrixSize(mySize.col, mySize.row); //col row switched in this function
cout << "Done!" << endl;
return true;
}
bool AbstractionLayer_Histogram::EvaluateQuality (const coor constraintCoordinate, qualityVector& qVector){
//evaluateQuality = evaluateProbabilaty
for(int i = 0;i < qVector.size();i++)
{
if(PlaceOfPartGood(constraintCoordinate, qVector[i].second->m_Histogram.image))
{
qVector[i].first=1;
continue;
}
qVector[i].first=0;
}
}
bool AbstractionLayer_Histogram::PlaceOfPartGood(coor myCoor, Mat& myPart)
{
HistogramComparer localComparer;
//sets coordinates to correct position for layer
if( myCoor.row == 0 && myCoor.col == 0){return true;}
else if(myCoor.col == 0 && myCoor.row >0){
if(localComparer.CompareHistogram(m_constraintMatrix[myCoor.col][myCoor.row-1].image, myPart)){
return true;
}
else return false;
}
else if( myCoor.row == 0 && myCoor.col >0){
if(localComparer.CompareHistogram(m_constraintMatrix[myCoor.col-1][myCoor.row].image, myPart)){
return true;
}
else return false;
}
else if (myCoor.col > 0 && myCoor.row >0){
if( localComparer.CompareHistogram(m_constraintMatrix[myCoor.col][myCoor.row-1].image, myPart) &&
localComparer.CompareHistogram(m_constraintMatrix[myCoor.col-1][myCoor.row].image, myPart)){
return true;
}
else return false;
}else return false;
}
bool HistogramComparer::CompareHistogram(Mat hist_img1,Mat hist_img2)
{
// Correlation
double Correlation = compareHist(hist_img1, hist_img2, CV_COMP_CORREL);
if(Correlation > 0.95 ){
return true;
}
else
return false;
}
bool AbstractionLayer_Histogram::SetConstraintOnPosition(const coor constraintCoordinate, const AbstractionLayer_Histogram_Properties constraint)
{
m_constraintMatrix[constraintCoordinate.col][constraintCoordinate.row].image=constraint.image;
//m_constraintMatrix[constraintCoordinate.col+1][constraintCoordinate.row+1].m_connections=constraint.m_connections;
}
bool AbstractionLayer_Histogram::RemoveConstraintOnPosition(const coor constraintCoordinate)
{
Mat dummy(1,1,0);
m_constraintMatrix[constraintCoordinate.col][constraintCoordinate.row].image = dummy;
}

View File

@ -1,40 +0,0 @@
//
// Created by Niko on 1/11/2018.
//
#ifndef MPK_PUZZLE_ABSTRACTIONLAYER_HISTOGRAM_H
#define MPK_PUZZLE_ABSTRACTIONLAYER_HISTOGRAM_H
#define DISPLAY false
#define PATH "..\\..\\..\\pieces\\%04d.jpg"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include "AbstractionLayer_Histogram_Properties.h"
#include "../AbstraktionLayer_Base.h"
using namespace std;
using namespace cv;
class AbstractionLayer_Histogram : public AbstractionLayer_Base<AbstractionLayer_Histogram_Properties>
{
public:
bool PreProcessing(coor mySize, const vector<Part*>* partArray) override ;
bool EvaluateQuality ( coor constraintCoordinate, qualityVector& qVector)override;
bool RemoveConstraintOnPosition( coor constraintCoordinate)override;
bool PlaceOfPartGood(coor myCoor, Mat& myPart);
bool SetConstraintOnPosition( coor constraintCoordinate, AbstractionLayer_Histogram_Properties constraint)override;
qualityVector returnInBox(vector<Part>& PuzzleBox);
void printConstraintMatrix();
private:
};
class HistogramComparer{
public:
Mat readImages(int);
bool CompareHistogram(Mat Part, Mat RefPart);
private:
};
#endif //MPK_PUZZLE_ABSTRACTIONLAYER_HISTOGRAM_H

View File

@ -1,29 +0,0 @@
//
// Created by Niko on 1/11/2018.
//
#ifndef MPK_PUZZLE_ABSTRACTIONLAYER_HISTOGRAM_PROPERTIES_H
#define MPK_PUZZLE_ABSTRACTIONLAYER_HISTOGRAM_PROPERTIES_H
#include <stdint.h>
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
using namespace cv;
class AbstractionLayer_Histogram_Properties
{
public:
AbstractionLayer_Histogram_Properties() : Correlation(-1){}
double getCorrelation(){return Correlation;}
Mat getmHistogram(){return m_Histogram;}
private:
double Correlation;
Mat m_Histogram;
Mat image;
friend class AbstractionLayer_Histogram;
};
#endif //MPK_PUZZLE_ABSTRACTIONLAYER_HISTOGRAM_PROPERTIES_H