Zufällige Bilderausgabe und binäres Bild(verbesserbar)

Input/input.cpp

@@ -1,6 +1,5 @@
 #include "input.h"
 
-
 Input::Input(/* args */)
 {
 }
@@ -11,15 +10,24 @@ Input::~Input()
 
 Mat Input::readFile(String filePath)
 {
-    Mat image = imread(filePath, IMREAD_COLOR);
+    std::srand(std::time(0));
+    // Read all .jpg files from the specified folder
+    std::string folder = filePath;
+    std::vector<std::string> filenames;
+    cv::glob(folder, filenames);
+
+    // Random shuffle
+    std::random_shuffle(filenames.begin(), filenames.end());
+
+    Mat image = imread(filenames[0], IMREAD_COLOR);
+    
     if(image.empty())
     {
         std::cout << "Could not read the image: " << filePath << std::endl;
         return Mat();
         //To do:Exception handeling
     }
-    imshow("Display window", image);
-    waitKey(0);
+
     return image;
 }
 
@@ -39,8 +47,6 @@ Mat Input::readWebcam()
     }
 
     cap.read(image);
-    imshow("Display window", image);
-    waitKey(0);
-
+    
     return image;  
 }

Input/input.h

@@ -1,4 +1,7 @@
 #include <iostream>
+#include <vector>
+#include <string>
+#include <algorithm>
 #include <opencv2/opencv.hpp>
 
 using namespace std;

Processing/processing.cpp

@@ -8,8 +8,10 @@ Processing::~Processing()
 {
 }
 
-Mat Processing::calculate_binaray(const Mat& inputPicture)
+Mat Processing::calculate_binaray(Mat& inputPicture, int thresholdValue)
 {
-    //cvtColor(inputPicture, inputPicture, COLOR_RGB2GRAY);
-    return Mat();
+    //Mat &outputPicture;
+    cvtColor(inputPicture, inputPicture, COLOR_BGR2GRAY);
+    threshold(inputPicture, inputPicture, thresholdValue, 255, THRESH_BINARY);
+    return inputPicture;
 }

Processing/processing.h

@@ -16,5 +16,5 @@ public:
     // End und Anfangspunkt analysieren und Winkel und Ausrichtung der Linie extrahieren (Abstand des untersten Punktes von der Mitte)
     ~Processing();
 
-    Mat calculate_binaray(const Mat& inputPicture);
+    Mat calculate_binaray(Mat& inputPicture, int thresholdValue);
 };

lfr.cpp

@@ -5,10 +5,18 @@
 
 using namespace cv;
 
+const int threshold_binary = 110;
+
 int main(void)
 {
     std::cout<<"Hello world";
     Input test;
- //   Mat image1 = test.readFile("C:\\Line-Following-Robot\\Test_data\\WhatsApp Image 2022-10-26 at 09.54.14.jpeg");
-    Mat image2 = test.readWebcam();
+    Processing test1;
+    Mat image1 = test.readFile("C:\\Line-Following-Robot\\Test_data\\*.jpeg");
+    //Mat image2 = test.readWebcam();
+
+    test1.calculate_binaray(image1, threshold_binary);
+    imshow("Display window", image1);
+    waitKey(0);
+
 }