Merge pull request #19079 from alalek:issue_18713

modules/calib3d/include/opencv2/calib3d.hpp

@@ -1453,6 +1453,7 @@ struct CV_EXPORTS_W_SIMPLE CirclesGridFinderParameters2 : public CirclesGridFind
 -   **CALIB_CB_CLUSTERING** uses a special algorithm for grid detection. It is more robust to
 perspective distortions but much more sensitive to background clutter.
 @param blobDetector feature detector that finds blobs like dark circles on light background.
+                    If `blobDetector` is NULL then `image` represents Point2f array of candidates.
 @param parameters struct for finding circles in a grid pattern.
 
 The function attempts to determine whether the input image contains a grid of circles. If it is, the

modules/calib3d/src/calibinit.cpp

@@ -2178,13 +2178,6 @@ void drawChessboardCorners( InputOutputArray image, Size patternSize,
     }
 }
 
-static int quiet_error(int /*status*/, const char* /*func_name*/,
-                       const char* /*err_msg*/, const char* /*file_name*/,
-                       int /*line*/, void* /*userdata*/)
-{
-    return 0;
-}
-
 bool findCirclesGrid(InputArray image, Size patternSize,
                      OutputArray centers, int flags,
                      const Ptr<FeatureDetector> &blobDetector,
@@ -2205,15 +2198,22 @@ bool findCirclesGrid2(InputArray _image, Size patternSize,
     bool isSymmetricGrid  = (flags & CALIB_CB_SYMMETRIC_GRID ) ? true : false;
     CV_Assert(isAsymmetricGrid ^ isSymmetricGrid);
 
-    Mat image = _image.getMat();
     std::vector<Point2f> centers;
 
-    std::vector<KeyPoint> keypoints;
-    blobDetector->detect(image, keypoints);
     std::vector<Point2f> points;
-    for (size_t i = 0; i < keypoints.size(); i++)
+    if (blobDetector)
+    {
+        std::vector<KeyPoint> keypoints;
+        blobDetector->detect(_image, keypoints);
+        for (size_t i = 0; i < keypoints.size(); i++)
+        {
+            points.push_back(keypoints[i].pt);
+        }
+    }
+    else
     {
-      points.push_back (keypoints[i].pt);
+        CV_CheckTypeEQ(_image.type(), CV_32FC2, "blobDetector must be provided or image must contains Point2f array (std::vector<Point2f>) with candidates");
+        _image.copyTo(points);
     }
 
     if(flags & CALIB_CB_ASYMMETRIC_GRID)
@@ -2229,64 +2229,59 @@ bool findCirclesGrid2(InputArray _image, Size patternSize,
       return !centers.empty();
     }
 
+    bool isValid = false;
     const int attempts = 2;
     const size_t minHomographyPoints = 4;
     Mat H;
     for (int i = 0; i < attempts; i++)
     {
-      centers.clear();
+        centers.clear();
-      CirclesGridFinder boxFinder(patternSize, points, parameters);
+        CirclesGridFinder boxFinder(patternSize, points, parameters);
-      bool isFound = false;
+        try
-#define BE_QUIET 1
-#if BE_QUIET
-      void* oldCbkData;
-      ErrorCallback oldCbk = redirectError(quiet_error, 0, &oldCbkData); // FIXIT not thread safe
-#endif
-      try
-      {
-        isFound = boxFinder.findHoles();
-      }
-      catch (const cv::Exception &)
-      {
-
-      }
-#if BE_QUIET
-      redirectError(oldCbk, oldCbkData);
-#endif
-      if (isFound)
-      {
-        switch(parameters.gridType)
         {
-          case CirclesGridFinderParameters::SYMMETRIC_GRID:
+            bool isFound = boxFinder.findHoles();
-            boxFinder.getHoles(centers);
+            if (isFound)
-            break;
+            {
-          case CirclesGridFinderParameters::ASYMMETRIC_GRID:
+                switch(parameters.gridType)
-        boxFinder.getAsymmetricHoles(centers);
+                {
-        break;
+                case CirclesGridFinderParameters::SYMMETRIC_GRID:
-          default:
+                    boxFinder.getHoles(centers);
-            CV_Error(Error::StsBadArg, "Unknown pattern type");
+                    break;
+                case CirclesGridFinderParameters::ASYMMETRIC_GRID:
+                    boxFinder.getAsymmetricHoles(centers);
+                    break;
+                default:
+                    CV_Error(Error::StsBadArg, "Unknown pattern type");
+                }
+
+                isValid = true;
+                break;  // done, return result
+            }
+        }
+        catch (const cv::Exception& e)
+        {
+            CV_UNUSED(e);
+            CV_LOG_DEBUG(NULL, "findCirclesGrid2: attempt=" << i << ": " << e.what());
+            // nothing, next attempt
         }
 
-        if (i != 0)
+        boxFinder.getHoles(centers);
+        if (i != attempts - 1)
         {
-          Mat orgPointsMat;
+            if (centers.size() < minHomographyPoints)
-          transform(centers, orgPointsMat, H.inv());
+                break;
-          convertPointsFromHomogeneous(orgPointsMat, centers);
+            H = CirclesGridFinder::rectifyGrid(boxFinder.getDetectedGridSize(), centers, points, points);
         }
-        Mat(centers).copyTo(_centers);
+    }
-        return true;
+
-      }
+    if (!H.empty())  // undone rectification
-
+    {
-      boxFinder.getHoles(centers);
+        Mat orgPointsMat;
-      if (i != attempts - 1)
+        transform(centers, orgPointsMat, H.inv());
-      {
+        convertPointsFromHomogeneous(orgPointsMat, centers);
-        if (centers.size() < minHomographyPoints)
-          break;
-        H = CirclesGridFinder::rectifyGrid(boxFinder.getDetectedGridSize(), centers, points, points);
-      }
     }
     Mat(centers).copyTo(_centers);
-    return false;
+    return isValid;
 }
 
 bool findCirclesGrid(InputArray _image, Size patternSize,

modules/calib3d/src/circlesgrid.cpp

@@ -1622,7 +1622,7 @@ size_t CirclesGridFinder::getFirstCorner(std::vector<Point> &largeCornerIndices,
   int cornerIdx = 0;
   bool waitOutsider = true;
 
-  for(;;)
+  for (size_t i = 0; i < cornersCount * 2; ++i)
   {
     if (waitOutsider)
     {
@@ -1632,11 +1632,11 @@ size_t CirclesGridFinder::getFirstCorner(std::vector<Point> &largeCornerIndices,
     else
     {
       if (isInsider[(cornerIdx + 1) % cornersCount])
-        break;
+        return cornerIdx;
     }
 
     cornerIdx = (cornerIdx + 1) % cornersCount;
   }
 
-  return cornerIdx;
+  CV_Error(Error::StsNoConv, "isInsider array has the same values");
 }

modules/calib3d/test/test_chesscorners.cpp

@@ -487,5 +487,59 @@ TEST(Calib3d_CirclesPatternDetectorWithClustering, accuracy)
     ASSERT_LE(error, precise_success_error_level);
 }
 
+TEST(Calib3d_AsymmetricCirclesPatternDetector, regression_18713)
+{
+    float pts_[][2] = {
+        { 166.5, 107 }, { 146, 236 }, { 147, 92 }, { 184, 162 }, { 150, 185.5 },
+        { 215, 105 }, { 270.5, 186 }, { 159, 142 }, { 6, 205.5 }, { 32, 148.5 },
+        { 126, 163.5 }, { 181, 208.5 }, { 240.5, 62 }, { 84.5, 76.5 }, { 190, 120.5 },
+        { 10, 189 }, { 266, 104 }, { 307.5, 207.5 }, { 97, 184 }, { 116.5, 210 },
+        { 114, 139 }, { 84.5, 233 }, { 269.5, 139 }, { 136, 126.5 }, { 120, 107.5 },
+        { 129.5, 65.5 }, { 212.5, 140.5 }, { 204.5, 60.5 }, { 207.5, 241 }, { 61.5, 94.5 },
+        { 186.5, 61.5 }, { 220, 63 }, { 239, 120.5 }, { 212, 186 }, { 284, 87.5 },
+        { 62, 114.5 }, { 283, 61.5 }, { 238.5, 88.5 }, { 243, 159 }, { 245, 208 },
+        { 298.5, 158.5 }, { 57, 129 }, { 156.5, 63.5 }, { 192, 90.5 }, { 281, 235.5 },
+        { 172, 62.5 }, { 291.5, 119.5 }, { 90, 127 }, { 68.5, 166.5 }, { 108.5, 83.5 },
+        { 22, 176 }
+    };
+    Mat candidates(51, 1, CV_32FC2, (void*)pts_);
+    Size patternSize(4, 9);
+
+    std::vector< Point2f > result;
+    bool res = false;
+
+    // issue reports about hangs
+    EXPECT_NO_THROW(res = findCirclesGrid(candidates, patternSize, result, CALIB_CB_ASYMMETRIC_GRID, Ptr<FeatureDetector>()/*blobDetector=NULL*/));
+    EXPECT_FALSE(res);
+
+    if (cvtest::debugLevel > 0)
+    {
+        std::cout << Mat(candidates) << std::endl;
+        std::cout << Mat(result) << std::endl;
+        Mat img(Size(400, 300), CV_8UC3, Scalar::all(0));
+
+        std::vector< Point2f > centers;
+        candidates.copyTo(centers);
+
+        for (size_t i = 0; i < centers.size(); i++)
+        {
+            const Point2f& pt = centers[i];
+            //printf("{ %g, %g }, \n", pt.x, pt.y);
+            circle(img, pt, 5, Scalar(0, 255, 0));
+        }
+        for (size_t i = 0; i < result.size(); i++)
+        {
+            const Point2f& pt = result[i];
+            circle(img, pt, 10, Scalar(0, 0, 255));
+        }
+        imwrite("test_18713.png", img);
+        if (cvtest::debugLevel >= 10)
+        {
+            imshow("result", img);
+            waitKey();
+        }
+    }
+}
+
 }} // namespace
 /* End of file. */