Debug message is turned off

diff --git a/modules/stitching/src/matchers.cpp b/modules/stitching/src/matchers.cpp
index f0b5d19..6664db0 100644 (file)
--- a/modules/stitching/src/matchers.cpp
+++ b/modules/stitching/src/matchers.cpp
@@ -273,14 +273,14 @@ namespace cv {
 namespace detail {\r
 \r
 void FeaturesFinder::operator ()(const Mat &image, ImageFeatures &features)\r
-{ \r
+{\r
     find(image, features);\r
     features.img_size = image.size();\r
 }\r
 \r
 \r
 void FeaturesFinder::operator ()(const Mat &image, ImageFeatures &features, const vector<Rect> &rois)\r
-{ \r
+{\r
     vector<ImageFeatures> roi_features(rois.size());\r
     size_t total_kps_count = 0;\r
     int total_descriptors_height = 0;\r
@@ -294,8 +294,8 @@ void FeaturesFinder::operator ()(const Mat &image, ImageFeatures &features, cons
 \r
     features.img_size = image.size();\r
     features.keypoints.resize(total_kps_count);\r
-    features.descriptors.create(total_descriptors_height, \r
-                                roi_features[0].descriptors.cols, \r
+    features.descriptors.create(total_descriptors_height,\r
+                                roi_features[0].descriptors.cols,\r
                                 roi_features[0].descriptors.type());\r
 \r
     int kp_idx = 0;\r
@@ -332,14 +332,14 @@ SurfFeaturesFinder::SurfFeaturesFinder(double hess_thresh, int num_octaves, int
     {\r
         detector_ = Algorithm::create<FeatureDetector>("Feature2D.SURF");\r
         extractor_ = Algorithm::create<DescriptorExtractor>("Feature2D.SURF");\r
-        \r
+\r
         if( detector_.empty() || extractor_.empty() )\r
             CV_Error( CV_StsNotImplemented, "OpenCV was built without SURF support" );\r
-        \r
+\r
         detector_->set("hessianThreshold", hess_thresh);\r
         detector_->set("nOctaves", num_octaves);\r
         detector_->set("nOctaveLayers", num_layers);\r
-        \r
+\r
         extractor_->set("nOctaves", num_octaves_descr);\r
         extractor_->set("nOctaveLayers", num_layers_descr);\r
     }\r
@@ -403,17 +403,17 @@ void OrbFeaturesFinder::find(const Mat &image, ImageFeatures &features)
                 int xr = (c+1) * gray_image.cols / grid_size.width;\r
                 int yr = (r+1) * gray_image.rows / grid_size.height;\r
 \r
-                LOGLN("OrbFeaturesFinder::find: gray_image.empty=" << (gray_image.empty()?"true":"false") << ", "\r
-                    << " gray_image.size()=(" << gray_image.size().width << "x" << gray_image.size().height << "), "\r
-                    << " yl=" << yl << ", yr=" << yr << ", "\r
-                    << " xl=" << xl << ", xr=" << xr << ", gray_image.data=" << ((size_t)gray_image.data) << ", "\r
-                    << "gray_image.dims=" << gray_image.dims << "\n");\r
+                // LOGLN("OrbFeaturesFinder::find: gray_image.empty=" << (gray_image.empty()?"true":"false") << ", "\r
+                //     << " gray_image.size()=(" << gray_image.size().width << "x" << gray_image.size().height << "), "\r
+                //     << " yl=" << yl << ", yr=" << yr << ", "\r
+                //     << " xl=" << xl << ", xr=" << xr << ", gray_image.data=" << ((size_t)gray_image.data) << ", "\r
+                //     << "gray_image.dims=" << gray_image.dims << "\n");\r
 \r
                 Mat gray_image_part=gray_image(Range(yl, yr), Range(xl, xr));\r
-                LOGLN("OrbFeaturesFinder::find: gray_image_part.empty=" << (gray_image_part.empty()?"true":"false") << ", "\r
-                    << " gray_image_part.size()=(" << gray_image_part.size().width << "x" << gray_image_part.size().height << "), "\r
-                    << " gray_image_part.dims=" << gray_image_part.dims << ", "\r
-                    << " gray_image_part.data=" << ((size_t)gray_image_part.data) << "\n");\r
+                // LOGLN("OrbFeaturesFinder::find: gray_image_part.empty=" << (gray_image_part.empty()?"true":"false") << ", "\r
+                //     << " gray_image_part.size()=(" << gray_image_part.size().width << "x" << gray_image_part.size().height << "), "\r
+                //     << " gray_image_part.dims=" << gray_image_part.dims << ", "\r
+                //     << " gray_image_part.data=" << ((size_t)gray_image_part.data) << "\n");\r
 \r
                 (*orb)(gray_image_part, Mat(), points, descriptors);\r
 \r
@@ -583,11 +583,11 @@ void BestOf2NearestMatcher::match(const ImageFeatures &features1, const ImageFea
         if (matches_info.inliers_mask[i])\r
             matches_info.num_inliers++;\r
 \r
-    // These coeffs are from paper M. Brown and D. Lowe. "Automatic Panoramic Image Stitching \r
+    // These coeffs are from paper M. Brown and D. Lowe. "Automatic Panoramic Image Stitching\r
     // using Invariant Features"\r
     matches_info.confidence = matches_info.num_inliers / (8 + 0.3 * matches_info.matches.size());\r
 \r
-    // Set zero confidence to remove matches between too close images, as they don't provide \r
+    // Set zero confidence to remove matches between too close images, as they don't provide\r
     // additional information anyway. The threshold was set experimentally.\r
     matches_info.confidence = matches_info.confidence > 3. ? 0. : matches_info.confidence;\r
 \r