Fix win build errors

modules/adas/tools/fcw_detect/fcw_detect.cpp

@@ -86,7 +86,7 @@ int main(int argc, char *argv[])
     fs.release();
     vector<Rect> objects;
     Mat img = imread(image_path);
-    detector.detect(img, objects, 1.1, Size(40, 40),
+    detector.detect(img, objects, 1.1f, Size(40, 40),
         Size(300, 300), threshold);
     imwrite(out_image_path, visualize(img, objects));
 }

modules/adas/tools/fcw_train/fcw_train.cpp

@@ -73,9 +73,9 @@ int main(int argc, char *argv[])
     string model_filename = parser.get<string>("model_filename");
 
     ICFDetectorParams params;
-    params.feature_count = parser.get<size_t>("feature_count");
-    params.weak_count = parser.get<size_t>("weak_count");
-    params.bg_per_image = parser.get<size_t>("bg_per_image");
+    params.feature_count = int(parser.get<size_t>("feature_count"));
+    params.weak_count = int(parser.get<size_t>("weak_count"));
+    params.bg_per_image = int(parser.get<size_t>("bg_per_image"));
 
     string model_size = parser.get<string>("model_size");
     if( !read_model_size(model_size.c_str(), &params.model_n_rows,

modules/xobjdetect/include/opencv2/xobjdetect.hpp

@@ -194,7 +194,7 @@ public:
         maxSize — max size of objects in pixels
     */
     void detect(const Mat& image, std::vector<Rect>& objects,
-        double scaleFactor, Size minSize, Size maxSize, float threshold);
+        float scaleFactor, Size minSize, Size maxSize, float threshold);
 
     /* Write detector to FileStorage */
     void write(FileStorage &fs) const;

modules/xobjdetect/src/acffeature.cpp

@@ -222,7 +222,7 @@ Ptr<FeatureEvaluator> createFeatureEvaluator(
     else if( type == "icf" )
         evaluator = new ICFFeatureEvaluatorImpl(features);
     else
-        CV_Assert(false);
+        CV_Error(CV_StsBadArg, "type value is either acf or icf");
 
     return Ptr<FeatureEvaluator>(evaluator);
 }
@@ -264,7 +264,7 @@ vector<vector<int> > generateFeatures(Size window_size, const std::string& type,
         }
     }
     else
-        CV_Assert(false);
+        CV_Error(CV_StsBadArg, "type value is either acf or icf");
 
     return features;
 }

modules/xobjdetect/src/icfdetector.cpp

@@ -191,7 +191,7 @@ void ICFDetector::read(const FileNode& node)
 }
 
 void ICFDetector::detect(const Mat& img, vector<Rect>& objects,
-    double scaleFactor, Size minSize, Size maxSize, float threshold)
+    float scaleFactor, Size minSize, Size maxSize, float threshold)
 {
     float scale_from = min(model_n_cols_ / (float)maxSize.width,
                            model_n_rows_ / (float)maxSize.height);
@@ -205,9 +205,9 @@ void ICFDetector::detect(const Mat& img, vector<Rect>& objects,
     for( float scale = scale_from; scale < scale_to + 0.001; scale *= scaleFactor )
     {
         cout << "scale " << scale << endl;
-        int new_width = img.cols * scale;
+        int new_width = int(img.cols * scale);
         new_width -= new_width % 4;
-        int new_height = img.rows * scale;
+        int new_height = int(img.rows * scale);
         new_height -= new_height % 4;
 
         resize(img, rescaled_image, Size(new_width, new_height));

modules/xobjdetect/src/waldboost.cpp

@@ -92,20 +92,6 @@ static int count(const Mat_<int> &m, int elem)
     return res;
 }
 
-void write(FileStorage& fs, String&, const WaldBoost& waldboost)
-{
-    waldboost.write(fs);
-}
-
-void read(const FileNode& node, WaldBoost& w,
-    const WaldBoost& default_value)
-{
-    if( node.empty() )
-        w = default_value;
-    else
-        w.read(node);
-}
-
 void WaldBoostImpl::read(const FileNode& node)
 {
     FileNode params = node["waldboost_params"];