yasarba71520/Line-Following-Robot
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Different methods for spielwiese

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This commit is contained in:
Tim Zeuner 2022-11-16 14:58:38 +01:00
parent 8611a47b75
commit 6645e25fb8
1 changed files with 38 additions and 16 deletions
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54
Spielwiese/spielwiese.cpp
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@ -9,28 +9,15 @@
#include <interpreter.h>
#include <intersection_handler.h>
int main(void)
void sweep_em_all(int thresholdBinary, int videoHeight, int videoWidth, int gaussKernelSize, int thresholdCanny1, int thresholdCanny2, int apertureSizeCanny)
{
//Disable opencv logging messages
cv::utils::logging::setLogLevel(cv::utils::logging::LOG_LEVEL_WARNING);
const int thresholdBinary = 140;
const int videoHeight = 720;
const int videoWidth = 960;
const int gaussKernelSize = 21;
const int thresholdCanny1 = 50;
const int thresholdCanny2 = 100;
const int apertureSizeCanny = 3;
Input input(videoHeight, videoWidth);
Processing processing;
namedWindow("Display window");
while(true)
{
Mat image = input.readFile("Der\\Pfad\\zum\\Input\\Bilder\\Ordner\\auf\\deinem\\System");
Mat image = input.readFile("C:\\Users\\User\\Desktop\\Studium\\02_Master_MSY\\2. Semester Winter 22 23\\Projekt\\Line-Following-Robot\\Test_data");
Mat processedImage = image;
processing.processImage(processedImage, thresholdBinary, gaussKernelSize, thresholdCanny1, thresholdCanny2 ,apertureSizeCanny);
std::vector<Vec4i> lines = processing.calculateLineSegments(processedImage);
@ -43,5 +30,40 @@ int main(void)
char c = (char)waitKey(1);
}
destroyWindow("Display window");
input.freeWebcam();
}
void in_depth_processing_chain(int thresholdBinary, int videoHeight, int videoWidth, int gaussKernelSize, int thresholdCanny1, int thresholdCanny2, int apertureSizeCanny)
{
std::string outputFolder = "C:\\Users\\User\\Desktop\\temp";
Input input(videoHeight, videoWidth);
Mat image = input.readFile("C:\\Users\\User\\Desktop\\Studium\\02_Master_MSY\\2. Semester Winter 22 23\\Projekt\\Line-Following-Robot\\Test_data");
imwrite(outputFolder + "\\01_input.jpg", image);
cvtColor(image, image, COLOR_BGR2GRAY);
imwrite(outputFolder + "\\02_color_convert.jpg", image);
GaussianBlur(image, image, Size(gaussKernelSize, gaussKernelSize), 0);
imwrite(outputFolder + "\\03_gauss.jpg", image);
threshold(image, image, thresholdBinary, 255, THRESH_BINARY);
imwrite(outputFolder + "\\04_threshold.jpg", image);
Canny(image, image, thresholdCanny1, thresholdCanny2, apertureSizeCanny);
imwrite(outputFolder + "\\05_canny.jpg", image);
}
int main(void)
{
//Disable opencv logging messages
cv::utils::logging::setLogLevel(cv::utils::logging::LOG_LEVEL_WARNING);
const int thresholdBinary = 140;
const int videoHeight = 720;
const int videoWidth = 960;
const int gaussKernelSize = 11;
const int thresholdCanny1 = 50;
const int thresholdCanny2 = 100;
const int apertureSizeCanny = 3;
//sweep_em_all(thresholdBinary, videoHeight, videoWidth, gaussKernelSize, thresholdCanny1, thresholdCanny2, apertureSizeCanny);
in_depth_processing_chain(thresholdBinary, videoHeight, videoWidth, gaussKernelSize, thresholdCanny1, thresholdCanny2, apertureSizeCanny);
}