Add namespace specifier for format()

modules/imgproc/test/test_houghcircles.cpp

@@ -56,7 +56,7 @@ using namespace std;
 
 static string getTestCaseName(const string& picture_name, double minDist, double edgeThreshold, double accumThreshold, int minRadius, int maxRadius)
 {
-    string results_name = format("circles_%s_%.0f_%.0f_%.0f_%d_%d",
+    string results_name = cv::format("circles_%s_%.0f_%.0f_%.0f_%d_%d",
         picture_name.c_str(), minDist, edgeThreshold, accumThreshold, minRadius, maxRadius);
     string temp(results_name);
     size_t pos = temp.find_first_of("\\/.");

samples/cpp/calibration.cpp

@@ -538,9 +538,9 @@ int main( int argc, char** argv )
         if( mode == CAPTURING )
         {
             if(undistortImage)
-                msg = format( "%d/%d Undist", (int)imagePoints.size(), nframes );
+                msg = cv::format( "%d/%d Undist", (int)imagePoints.size(), nframes );
             else
-                msg = format( "%d/%d", (int)imagePoints.size(), nframes );
+                msg = cv::format( "%d/%d", (int)imagePoints.size(), nframes );
         }
 
         putText( view, msg, textOrigin, 1, 1,

samples/cpp/digits_svm.cpp

@@ -137,7 +137,7 @@ static void evaluate_model(const vector<float>& predictions, const vector<Mat>&
 
     err /= predictions.size();
 
-    cout << format("error: %.2f %%", err * 100) << endl;
+    cout << cv::format("error: %.2f %%", err * 100) << endl;
 
     int confusion[10][10] = {};
 
@@ -151,7 +151,7 @@ static void evaluate_model(const vector<float>& predictions, const vector<Mat>&
     {
         for (int j = 0; j < 10; j++)
         {
-            cout << format("%2d ", confusion[i][j]);
+            cout << cv::format("%2d ", confusion[i][j]);
         }
         cout << endl;
     }

samples/cpp/select3dobj.cpp

@@ -490,7 +490,7 @@ int main(int argc, char** argv)
     setMouseCallback("View", onMouse, 0);
     bool boardFound = false;
 
-    string indexFilename = format("%s_index.yml", outprefix.c_str());
+    string indexFilename = cv::format("%s_index.yml", outprefix.c_str());
 
     vector<string> capturedImgList;
     vector<Rect> roiList;

samples/cpp/tutorial_code/calib3d/camera_calibration/camera_calibration.cpp

@@ -402,9 +402,9 @@ int main(int argc, char* argv[])
         if( mode == CAPTURING )
         {
             if(s.showUndistorsed)
-                msg = format( "%d/%d Undist", (int)imagePoints.size(), s.nrFrames );
+                msg = cv::format( "%d/%d Undist", (int)imagePoints.size(), s.nrFrames );
             else
-                msg = format( "%d/%d", (int)imagePoints.size(), s.nrFrames );
+                msg = cv::format( "%d/%d", (int)imagePoints.size(), s.nrFrames );
         }
 
         putText( view, msg, textOrigin, 1, 1, mode == CALIBRATED ?  GREEN : RED);

samples/cpp/tutorial_code/calib3d/real_time_pose_estimation/src/main_detection.cpp

@@ -361,7 +361,7 @@ int main(int argc, char *argv[])
                 frame_vis.copyTo(frameSave);
             }
 
-            string saveFilename = format(string(saveDirectory + "/image_%04d.png").c_str(), frameCount);
+            string saveFilename = cv::format(string(saveDirectory + "/image_%04d.png").c_str(), frameCount);
             imwrite(saveFilename, frameSave);
             frameCount++;
         }

samples/tapi/ufacedetect.cpp

@@ -206,7 +206,7 @@ void detectAndDraw( UMat& img, Mat& canvas, CascadeClassifier& cascade,
     double alpha = nframes > 50 ? 0.01 : 1./nframes;
     avgfps = avgfps*(1-alpha) + fps*alpha;
 
-    putText(canvas, format("OpenCL: %s, fps: %.1f", ocl::useOpenCL() ? "ON" : "OFF", avgfps), Point(50, 30),
+    putText(canvas, cv::format("OpenCL: %s, fps: %.1f", ocl::useOpenCL() ? "ON" : "OFF", avgfps), Point(50, 30),
             FONT_HERSHEY_SIMPLEX, 0.8, Scalar(0,255,0), 2);
 
     for ( size_t i = 0; i < faces.size(); i++ )