Use of SIFT descriptors when stitching (better stitching, more time consuming), images and readme

README.md

@@ -1,5 +1,7 @@
 # Stitching Barrel Surface Images and Correcting Their Brightness - Master's Thesis
+The goal of this project is to provide a library that is useful for the stitching and brightness correction of images from the inside of a barrel. Additionally, functionality for real-time stitching will be supplied.
 
+![Image stitching](samples/stitch.png "Image stitching")
 
 ##### Prerequisites
 

src/pointbase.cpp

@@ -2,7 +2,6 @@
 #include "opencv2/core.hpp"
 #include "opencv2/imgproc.hpp"
 #include "opencv2/imgcodecs.hpp"
-#include "opencv2/highgui.hpp"
 #include "opencv2/stitching.hpp"
 #include <fstream>
 #include <iostream>
@@ -11,6 +10,7 @@
 #include <fstream>
 #include <algorithm>
 #include <map>
+#include <typeinfo>
 using namespace cv;
 using namespace std;
 #include <filesystem>
@@ -261,9 +261,18 @@ class PointBase {
             //stitching
             // Define object to store the stitched image
             Mat pano;
-            
+            bool try_use_gpu=true;
             // Create a Stitcher class object with mode scans
             Ptr<Stitcher> stitcher = Stitcher::create(Stitcher::SCANS);
+            //stitcher->setPanoConfidenceThresh(0.85);
+            cout << stitcher->panoConfidenceThresh() << "CONFIDENCE TRESH \n" ;
+
+            //Ptr<Feature2D> finder = stitcher->featuresFinder();
+            Ptr<Feature2D> finder = SIFT::create();
+            stitcher->setFeaturesFinder(finder);
+            cout << finder->getDefaultName()<<" FINDER \n";
+
+
             vector<Mat> imgs;
 
             //open stream for logging