Merge pull request #2349 from alalek:fix_contrib_2346

Author: alalek

modules/ximgproc/src/structured_edge_detection.cpp

@@ -37,16 +37,24 @@
 //
 //M*/
 
+#include "precomp.hpp"
+
 #include <vector>
 #include <algorithm>
 #include <iterator>
 #include <iostream>
 #include <cmath>
 
-#include "precomp.hpp"
-
 #include "advanced_types.hpp"
 
+#ifdef CV_CXX11
+#define CV_USE_PARALLEL_PREDICT_EDGES_1 1
+#define CV_USE_PARALLEL_PREDICT_EDGES_2 0  //1, see https://github.com/opencv/opencv_contrib/issues/2346
+#else
+#define CV_USE_PARALLEL_PREDICT_EDGES_1 0
+#define CV_USE_PARALLEL_PREDICT_EDGES_2 0
+#endif
+
 /********************* Helper functions *********************/
 
 /*!
@@ -730,7 +738,7 @@ class StructuredEdgeDetectionImpl : public StructuredEdgeDetection
             }
             // lookup tables for mapping linear index to offset pairs
 
-        #ifdef CV_CXX11
+        #if CV_USE_PARALLEL_PREDICT_EDGES_1
         parallel_for_(cv::Range(0, height), [&](const cv::Range& range)
         #else
         const cv::Range range(0, height);
@@ -779,7 +787,7 @@ class StructuredEdgeDetectionImpl : public StructuredEdgeDetection
                 }
             }
         }
-        #ifdef CV_CXX11
+        #if CV_USE_PARALLEL_PREDICT_EDGES_1
         );
         #endif
 
@@ -788,8 +796,10 @@ class StructuredEdgeDetectionImpl : public StructuredEdgeDetection
         dstM.setTo(0);
 
         float step = 2.0f * CV_SQR(stride) / CV_SQR(ipSize) / nTreesEval;
-        #ifdef CV_CXX11
+        #if CV_USE_PARALLEL_PREDICT_EDGES_2
         parallel_for_(cv::Range(0, height), [&](const cv::Range& range)
+        #elif CV_USE_PARALLEL_PREDICT_EDGES_1
+        const cv::Range range(0, height);
         #endif
         {
             for(int i = range.start; i < range.end; ++i)
@@ -814,7 +824,7 @@ class StructuredEdgeDetectionImpl : public StructuredEdgeDetection
                 }
             }
         }
-        #ifdef CV_CXX11
+        #if CV_USE_PARALLEL_PREDICT_EDGES_2
         );
         #endif
 

modules/ximgproc/test/test_edgeboxes.cpp

@@ -5,7 +5,7 @@
 
 namespace opencv_test { namespace {
 
-TEST(ximpgroc_Edgeboxes, regression)
+TEST(ximgproc_Edgeboxes, regression)
 {
     //Testing Edgeboxes implementation by asking for one proposal
     //on a simple test image from the PASCAL VOC 2012 dataset.

modules/ximgproc/test/test_structured_edge_detection.cpp

@@ -5,7 +5,7 @@
 
 namespace opencv_test { namespace {
 
-TEST(ximpgroc_StructuredEdgeDetection, regression)
+TEST(ximgproc_StructuredEdgeDetection, regression)
 {
     cv::String subfolder = "cv/ximgproc/";
     cv::String dir = cvtest::TS::ptr()->get_data_path() + subfolder;

modules/ximgproc/test/test_thinning.cpp

@@ -18,7 +18,7 @@ static int createTestImage(Mat& src)
     return src_pixels;
 }
 
-TEST(ximpgroc_Thinning, simple_ZHANGSUEN)
+TEST(ximgproc_Thinning, simple_ZHANGSUEN)
 {
     Mat src;
     int src_pixels = createTestImage(src);
@@ -33,7 +33,7 @@ TEST(ximpgroc_Thinning, simple_ZHANGSUEN)
 #endif
 }
 
-TEST(ximpgroc_Thinning, simple_GUOHALL)
+TEST(ximgproc_Thinning, simple_GUOHALL)
 {
     Mat src;
     int src_pixels = createTestImage(src);

modules/ximgproc/tutorials/training.markdown

@@ -103,7 +103,7 @@ Training pipeline
 
 -#  The final step is converting trained model from Matlab binary format to YAML which you can use
     with our ocv::StructuredEdgeDetection. For this purpose run
-    opencv_contrib/ximpgroc/tutorials/scripts/modelConvert(model, "model.yml")
+    opencv_contrib/ximgproc/tutorials/scripts/modelConvert(model, "model.yml")
 
 How to use your model
 ---------------------