to test

README.md

@@ -2,12 +2,9 @@ This is the README for the EU_Robot of Group D.
 
 // ...existing content...
 
-## Calibration Instructions
+## Complete Calibration and Detection Procedure
 
-### Webcam Calibration
+### Step 1: Setup Configuration Files
 
-To calibrate the webcam using a chessboard pattern:
-
-1. Ensure you have a printed chessboard pattern with 9x6 inner corners.
-2. Run the `calibrationWebcam` node:
-   
+1. Create `arena_config.yml` with fixed marker positions:
+    

test/src/QRcode.cpp

@@ -41,8 +41,60 @@ void loadTransformationMatrix(const std::string& filename)
     fs.release();
 }
 
+cv::Mat upscaleImage(const cv::Mat& image, double scaleFactor)
+{
+    cv::Mat upscaled;
+    cv::resize(image, upscaled, cv::Size(), scaleFactor, scaleFactor, cv::INTER_LINEAR);
+    return upscaled;
+}
+
+cv::Mat downscaleImage(const cv::Mat& image, double scaleFactor)
+{
+    if (scaleFactor <= 0)
+    {
+        throw std::invalid_argument("Scale factor must be greater than 0.");
+    }
+    cv::Mat downscaled;
+    cv::resize(image, downscaled, cv::Size(), scaleFactor, scaleFactor, cv::INTER_LINEAR);
+    return downscaled;
+}
+
+cv::Mat sharpenImage(const cv::Mat& image)
+{
+    cv::Mat sharpened;
+    cv::Mat sharpeningKernel = (cv::Mat_<float>(3, 3) << 0, -1, 0, -1, 5, -1, 0, -1, 0);
+    cv::filter2D(image, sharpened, -1, sharpeningKernel);
+    return sharpened;
+}
+
+cv::Mat reduceNoise(const cv::Mat& image)
+{
+    cv::Mat denoised;
+    cv::GaussianBlur(image, denoised, cv::Size(5, 5), 0);
+    return denoised;
+}
+
+cv::Mat gammaCorrection(const cv::Mat& image, double gamma)
+{
+    cv::Mat adjusted;
+    cv::Mat lookupTable(1, 256, CV_8U);
+    uchar* p = lookupTable.ptr();
+    for (int i = 0; i < 256; ++i)
+    {
+        p[i] = cv::saturate_cast<uchar>(pow(i / 255.0, gamma) * 255.0);
+    }
+    cv::LUT(image, lookupTable, adjusted);
+    return adjusted;
+}
+
 void processFrame(const cv::Mat& frame)
 {
+    // Apply image processing steps
+    cv::Mat processedFrame = gammaCorrection(frame, 0.4);
+    processedFrame = sharpenImage(processedFrame);
+    processedFrame = upscaleImage(processedFrame, 3.0);
+    processedFrame = reduceNoise(processedFrame);
+
     // Create ArUco marker detector
     cv::Ptr<cv::aruco::Dictionary> dictionary = 
         cv::aruco::getPredefinedDictionary(cv::aruco::DICT_4X4_50); 
@@ -51,18 +103,18 @@ void processFrame(const cv::Mat& frame)
     std::vector<cv::Vec3d> rvecs, tvecs;
 
     // Detect markers in the image
-    cv::aruco::detectMarkers(frame, dictionary, markerCorners, markerIds);
+    cv::aruco::detectMarkers(processedFrame, dictionary, markerCorners, markerIds);
 
     // Draw detected markers
     if (!markerIds.empty())
     {
-        cv::aruco::drawDetectedMarkers(frame, markerCorners, markerIds);
+        cv::aruco::drawDetectedMarkers(processedFrame, markerCorners, markerIds);
         cv::aruco::estimatePoseSingleMarkers(markerCorners, 0.05, cameraMatrix, distCoeffs, rvecs, tvecs);
         ROS_INFO("Detected %zu ArUco markers", markerIds.size());
         for (size_t i = 0; i < markerIds.size(); ++i)
         {
             ROS_INFO("Marker ID: %d", markerIds[i]);
-            cv::aruco::drawAxis(frame, cameraMatrix, distCoeffs, rvecs[i], tvecs[i], 0.1);
+            cv::aruco::drawAxis(processedFrame, cameraMatrix, distCoeffs, rvecs[i], tvecs[i], 0.1);
 
             // Print the rotation and translation vectors
             ROS_INFO_STREAM("Rotation Vector: " << rvecs[i]);
@@ -88,19 +140,11 @@ void processFrame(const cv::Mat& frame)
             cv::Mat markerPosition = cv::Mat(tvecs[i]);
             ROS_INFO_STREAM("Marker Position in Arena: " << markerPosition);
 
-            // Retrieve the marker position from the configuration
-            if (markerPositions.find(markerIds[i]) != markerPositions.end())
-            {
-                cv::Point2f cameraPosition = markerPositions[markerIds[i]];
-                std::vector<cv::Point2f> cameraPoints = {cameraPosition};
-                std::vector<cv::Point2f> arenaPoints;
-                cv::perspectiveTransform(cameraPoints, arenaPoints, transformationMatrix);
-                ROS_INFO_STREAM("Marker Position in Arena: " << arenaPoints[0]);
-            }
-            else
-            {
-                ROS_WARN("Marker ID %d not found in configuration", markerIds[i]);
-            }
+            // Transform the marker position to the arena frame
+            std::vector<cv::Point2f> cameraPoints = {cv::Point2f(tvecs[i][0], tvecs[i][1])};
+            std::vector<cv::Point2f> arenaPoints;
+            cv::perspectiveTransform(cameraPoints, arenaPoints, transformationMatrix);
+            ROS_INFO_STREAM("Marker Position in Arena Frame: " << arenaPoints[0]);
         }
     }
     else
@@ -109,7 +153,7 @@ void processFrame(const cv::Mat& frame)
     }
 
     // Display the result
-    cv::imshow("ArUco Detection", frame);
+    cv::imshow("ArUco Detection", processedFrame);
     cv::waitKey(1);
 }
 

test/src/arenaCalibration.cpp

@@ -59,6 +59,13 @@ void calibrateArena()
     std::map<int, cv::Point2f> markerPositions;
     cv::Mat transformationMatrix;
 
+    std::map<int, cv::Point2f> fixedMarkerPositions = {
+        {1, cv::Point2f(0, 0)},
+        {2, cv::Point2f(0, 1)},
+        {3, cv::Point2f(1, 0)},
+        {4, cv::Point2f(1, 1)}
+    };
+
     while (ros::ok())
     {
         cap >> frame; // Capture a new frame
@@ -108,15 +115,21 @@ void calibrateArena()
             }
 
             // Compute the transformation matrix (example using homography)
-            if (markerIds.size() >= 4) // Need at least 4 points to compute homography
+            if (markerIds.size() >= 3) // Need at least 3 points to compute homography
             {
                 std::vector<cv::Point2f> srcPoints, dstPoints;
                 for (const auto& marker : markerPositions)
                 {
-                    srcPoints.push_back(marker.second);
-                    dstPoints.push_back(cv::Point2f(marker.second.x, marker.second.y)); // Replace with actual arena coordinates
+                    if (fixedMarkerPositions.find(marker.first) != fixedMarkerPositions.end())
+                    {
+                        srcPoints.push_back(marker.second);
+                        dstPoints.push_back(fixedMarkerPositions[marker.first]);
+                    }
+                }
+                if (srcPoints.size() >= 3)
+                {
+                    transformationMatrix = cv::findHomography(srcPoints, dstPoints);
                 }
-                transformationMatrix = cv::findHomography(srcPoints, dstPoints);
             }
         }
         else