Fix w64 warnings

modules/text/samples/segmented_word_recognition.cpp

@@ -98,18 +98,18 @@ int main(int argc, char* argv[]) {
                                  voc, transitionProbabilities, emissionProbabilities);
 
     std::string output;
-    double t_r = getTickCount();
+    double t_r = (double)getTickCount();
     ocrTes->run(mask, output);
     output.erase(remove(output.begin(), output.end(), '\n'), output.end());
     cout << " OCR_Tesseract  output \"" << output << "\". Done in "
          << ((double)getTickCount() - t_r)*1000/getTickFrequency() << " ms." << endl;
 
-    t_r = getTickCount();
+    t_r = (double)getTickCount();
     ocrNM->run(mask, output);
     cout << " OCR_NM         output \"" << output << "\". Done in "
          << ((double)getTickCount() - t_r)*1000/getTickFrequency() << " ms." << endl;
 
-    t_r = getTickCount();
+    t_r = (double)getTickCount();
     ocrCNN->run(image, mask, output);
     cout << " OCR_CNN        output \"" << output << "\". Done in "
          << ((double)getTickCount() - t_r)*1000/getTickFrequency() << " ms." << endl;

modules/text/src/ocr_beamsearch_decoder.cpp

@@ -459,7 +459,7 @@ OCRBeamSearchClassifierCNN::OCRBeamSearchClassifierCNN (const string& filename)
 
     nr_feature  = weights.rows;
     nr_class    = weights.cols;
-    patch_size  = sqrt(kernels.cols);
+    patch_size  = (int)sqrt(kernels.cols);
     // algorithm internal parameters
     window_size = 32;
     quad_size   = 12;

modules/text/src/ocr_hmm_decoder.cpp

@@ -525,7 +525,7 @@ public:
                 char_center.x += words_rect[w].x;
                 char_center.y += words_rect[w].y;
                 int win_size = max(contours_rect.at(i).width,contours_rect.at(i).height);
-                win_size += win_size*0.6; // add some pixels in the border TODO: is this a parameter for the user space?
+                win_size += (int)(win_size*0.6); // add some pixels in the border TODO: is this a parameter for the user space?
                 Rect char_rect = Rect(char_center.x-win_size/2,char_center.y-win_size/2,win_size,win_size);
                 char_rect &= Rect(0,0,image.cols,image.rows);
                 Mat tmp_image;
@@ -969,9 +969,9 @@ void OCRHMMClassifierCNN::eval( InputArray _src, vector<int>& out_class, vector<
 
 
     int quad_id = 1;
-    for (int q_x=0; q_x<=window_size-quad_size; q_x=q_x+(quad_size/2-1))
+    for (int q_x=0; q_x<=window_size-quad_size; q_x=q_x+(int)(quad_size/2-1))
     {
-        for (int q_y=0; q_y<=window_size-quad_size; q_y=q_y+(quad_size/2-1))
+        for (int q_y=0; q_y<=window_size-quad_size; q_y=q_y+(int)(quad_size/2-1))
         {
             Rect quad_rect = Rect(q_x,q_y,quad_size,quad_size);
             quad = img(quad_rect);