Fixed mingw build warnings

apps/traincascade/features.cpp

@@ -24,7 +24,7 @@ CvParams::CvParams() : name( "params" ) {}
 void CvParams::printDefaults() const
 { cout << "--" << name << "--" << endl; }
 void CvParams::printAttrs() const {}
-bool CvParams::scanAttr( const String prmName, const String val ) { return false; }
+bool CvParams::scanAttr( const String, const String ) { return false; }
 
 
 //---------------------------- FeatureParams --------------------------------------

modules/contrib/include/opencv2/contrib/hybridtracker.hpp

@@ -88,8 +88,8 @@ struct CV_EXPORTS CvFeatureTrackerParams
     enum {  SIFT = 0, SURF = 1, OPTICAL_FLOW = 2 };
     CvFeatureTrackerParams(int featureType = 0, int windowSize = 0)
     {
-		featureType = 0;
-		windowSize = 0;
+        feature_type = featureType;
+        window_size = windowSize;
     }
 
     int feature_type; // Feature type to use

modules/flann/include/opencv2/flann/any.h

@@ -12,6 +12,7 @@
  * Adapted for FLANN by Marius Muja
  */
 
+#include "defines.h"
 #include <stdexcept>
 #include <ostream>
 #include <typeinfo>
@@ -95,6 +96,16 @@ struct big_any_policy : typed_base_any_policy<T>
     virtual void print(std::ostream& out, void* const* src) { out << *reinterpret_cast<T const*>(*src); }
 };
 
+template<> inline void big_any_policy<flann_centers_init_t>::print(std::ostream& out, void* const* src)
+{
+    out << int(*reinterpret_cast<flann_centers_init_t const*>(*src));
+}
+
+template<> inline void big_any_policy<flann_algorithm_t>::print(std::ostream& out, void* const* src)
+{
+    out << int(*reinterpret_cast<flann_algorithm_t const*>(*src));
+}
+
 template<typename T>
 struct choose_policy
 {

modules/flann/src/precomp.hpp

@@ -1,7 +1,3 @@
-#ifdef __GNUC__
-#  pragma GCC diagnostic ignored "-Wsign-promo"
-#endif
-
 #ifndef _OPENCV_FLANN_PRECOMP_HPP_
 #define _OPENCV_FLANN_PRECOMP_HPP_
 

modules/highgui/src/grfmt_jpeg.cpp

@@ -542,8 +542,6 @@ bool  JpegEncoder::write( const Mat& img, const vector<int>& params )
     };
     bool result = false;
     fileWrapper fw;
-    int _channels = img.channels();
-    int channels = _channels > 1 ? 3 : 1;
     int width = img.cols, height = img.rows;
 
     vector<uchar> out_buf(1 << 12);
@@ -580,6 +578,9 @@ bool  JpegEncoder::write( const Mat& img, const vector<int>& params )
     {
         cinfo.image_width = width;
         cinfo.image_height = height;
+
+        int _channels = img.channels();
+        int channels = _channels > 1 ? 3 : 1;
         cinfo.input_components = channels;
         cinfo.in_color_space = channels > 1 ? JCS_RGB : JCS_GRAYSCALE;
 

modules/ml/test/test_mltests2.cpp

@@ -519,7 +519,7 @@ int CV_MLBaseTest::read_params( CvFileStorage* _fs )
     return cvtest::TS::OK;;
 }
 
-void CV_MLBaseTest::run( int start_from )
+void CV_MLBaseTest::run( int )
 {
     string filename = ts->get_data_path();
     filename += get_validation_filename();
@@ -527,7 +527,6 @@ void CV_MLBaseTest::run( int start_from )
     read_params( *validationFS );
 
     int code = cvtest::TS::OK;
-    start_from = 0;
     for (int i = 0; i < test_case_count; i++)
     {
         int temp_code = run_test_case( i );
@@ -713,7 +712,7 @@ int CV_MLBaseTest::train( int testCaseIdx )
     return cvtest::TS::OK;
 }
 
-float CV_MLBaseTest::get_error( int testCaseIdx, int type, vector<float> *resp )
+float CV_MLBaseTest::get_error( int /*testCaseIdx*/, int type, vector<float> *resp )
 {
     float err = 0;
     if( !modelName.compare(CV_NBAYES) )
@@ -721,8 +720,8 @@ float CV_MLBaseTest::get_error( int testCaseIdx, int type, vector<float> *resp )
     else if( !modelName.compare(CV_KNEAREST) )
     {
         assert( 0 );
-        testCaseIdx = 0;
-        /*int k = 2;
+        /*testCaseIdx = 0;
+        int k = 2;
         validationFS.getFirstTopLevelNode()["validation"][modelName][dataSetNames[testCaseIdx]]["model_params"]["k"] >> k;
         err = knearest->calc_error( &data, k, type, resp );*/
     }

modules/python/src2/cv2.cpp

@@ -181,7 +181,7 @@ public:
         datastart = data = (uchar*)PyArray_DATA(o);
     }
 
-    void deallocate(int* refcount, uchar* datastart, uchar* data)
+    void deallocate(int* refcount, uchar*, uchar*)
     {
         PyEnsureGIL gil;
         if( !refcount )
@@ -349,6 +349,7 @@ static PyObject* pyopencv_from(bool value)
 
 static bool pyopencv_to(PyObject* obj, bool& value, const char* name = "<unknown>")
 {
+    (void)name;
     if(!obj || obj == Py_None)
         return true;
     int _val = PyObject_IsTrue(obj);
@@ -365,6 +366,7 @@ static PyObject* pyopencv_from(size_t value)
 
 static bool pyopencv_to(PyObject* obj, size_t& value, const char* name = "<unknown>")
 {
+    (void)name;
     if(!obj || obj == Py_None)
         return true;
     value = (int)PyLong_AsUnsignedLong(obj);
@@ -376,8 +378,19 @@ static PyObject* pyopencv_from(int value)
     return PyInt_FromLong(value);
 }
 
+static PyObject* pyopencv_from(cvflann_flann_algorithm_t value)
+{
+    return PyInt_FromLong(int(value));
+}
+
+static PyObject* pyopencv_from(cvflann_flann_distance_t value)
+{
+    return PyInt_FromLong(int(value));
+}
+
 static bool pyopencv_to(PyObject* obj, int& value, const char* name = "<unknown>")
 {
+    (void)name;
     if(!obj || obj == Py_None)
         return true;
     value = (int)PyInt_AsLong(obj);
@@ -391,6 +404,7 @@ static PyObject* pyopencv_from(uchar value)
 
 static bool pyopencv_to(PyObject* obj, uchar& value, const char* name = "<unknown>")
 {
+    (void)name;
     if(!obj || obj == Py_None)
         return true;
     int ivalue = (int)PyInt_AsLong(obj);
@@ -405,6 +419,7 @@ static PyObject* pyopencv_from(double value)
 
 static bool pyopencv_to(PyObject* obj, double& value, const char* name = "<unknown>")
 {
+    (void)name;
     if(!obj || obj == Py_None)
         return true;
     if(PyInt_CheckExact(obj))
@@ -421,6 +436,7 @@ static PyObject* pyopencv_from(float value)
 
 static bool pyopencv_to(PyObject* obj, float& value, const char* name = "<unknown>")
 {
+    (void)name;
     if(!obj || obj == Py_None)
         return true;
     if(PyInt_CheckExact(obj))
@@ -442,6 +458,7 @@ static PyObject* pyopencv_from(const string& value)
 
 static bool pyopencv_to(PyObject* obj, string& value, const char* name = "<unknown>")
 {
+    (void)name;
     if(!obj || obj == Py_None)
         return true;
     char* str = PyString_AsString(obj);
@@ -453,6 +470,7 @@ static bool pyopencv_to(PyObject* obj, string& value, const char* name = "<unkno
 
 static inline bool pyopencv_to(PyObject* obj, Size& sz, const char* name = "<unknown>")
 {
+    (void)name;
     if(!obj || obj == Py_None)
         return true;
     return PyArg_ParseTuple(obj, "ii", &sz.width, &sz.height) > 0;
@@ -465,6 +483,7 @@ static inline PyObject* pyopencv_from(const Size& sz)
 
 static inline bool pyopencv_to(PyObject* obj, Rect& r, const char* name = "<unknown>")
 {
+    (void)name;
     if(!obj || obj == Py_None)
         return true;
     return PyArg_ParseTuple(obj, "iiii", &r.x, &r.y, &r.width, &r.height) > 0;
@@ -477,6 +496,7 @@ static inline PyObject* pyopencv_from(const Rect& r)
 
 static inline bool pyopencv_to(PyObject* obj, Range& r, const char* name = "<unknown>")
 {
+    (void)name;
     if(!obj || obj == Py_None)
         return true;
     if(PyObject_Size(obj) == 0)
@@ -494,6 +514,7 @@ static inline PyObject* pyopencv_from(const Range& r)
 
 static inline bool pyopencv_to(PyObject* obj, CvSlice& r, const char* name = "<unknown>")
 {
+    (void)name;
     if(!obj || obj == Py_None)
         return true;
     if(PyObject_Size(obj) == 0)
@@ -511,6 +532,7 @@ static inline PyObject* pyopencv_from(const CvSlice& r)
 
 static inline bool pyopencv_to(PyObject* obj, Point& p, const char* name = "<unknown>")
 {
+    (void)name;
     if(!obj || obj == Py_None)
         return true;
     if(PyComplex_CheckExact(obj))
@@ -525,6 +547,7 @@ static inline bool pyopencv_to(PyObject* obj, Point& p, const char* name = "<unk
 
 static inline bool pyopencv_to(PyObject* obj, Point2f& p, const char* name = "<unknown>")
 {
+    (void)name;
     if(!obj || obj == Py_None)
         return true;
     if(PyComplex_CheckExact(obj))
@@ -549,6 +572,7 @@ static inline PyObject* pyopencv_from(const Point2f& p)
 
 static inline bool pyopencv_to(PyObject* obj, Vec3d& v, const char* name = "<unknown>")
 {
+    (void)name;
     if(!obj)
         return true;
     return PyArg_ParseTuple(obj, "ddd", &v[0], &v[1], &v[2]) > 0;
@@ -792,6 +816,7 @@ template<> struct pyopencvVecConverter<string>
 
 static inline bool pyopencv_to(PyObject *obj, CvTermCriteria& dst, const char *name="<unknown>")
 {
+    (void)name;
     if(!obj)
         return true;
     return PyArg_ParseTuple(obj, "iid", &dst.type, &dst.max_iter, &dst.epsilon) > 0;
@@ -804,6 +829,7 @@ static inline PyObject* pyopencv_from(const CvTermCriteria& src)
 
 static inline bool pyopencv_to(PyObject *obj, TermCriteria& dst, const char *name="<unknown>")
 {
+    (void)name;
     if(!obj)
         return true;
     return PyArg_ParseTuple(obj, "iid", &dst.type, &dst.maxCount, &dst.epsilon) > 0;
@@ -816,6 +842,7 @@ static inline PyObject* pyopencv_from(const TermCriteria& src)
 
 static inline bool pyopencv_to(PyObject *obj, RotatedRect& dst, const char *name="<unknown>")
 {
+    (void)name;
     if(!obj)
         return true;
     return PyArg_ParseTuple(obj, "(ff)(ff)f", &dst.center.x, &dst.center.y, &dst.size.width, &dst.size.height, &dst.angle) > 0;
@@ -847,6 +874,7 @@ static inline PyObject* pyopencv_from(const CvDTreeNode* node)
 
 static bool pyopencv_to(PyObject *o, cv::flann::IndexParams& p, const char *name="<unknown>")
 {
+    (void)name;
     bool ok = false;
     PyObject* keys = PyObject_CallMethod(o,(char*)"keys",0);
     PyObject* values = PyObject_CallMethod(o,(char*)"values",0);
@@ -927,7 +955,7 @@ static void OnMouse(int event, int x, int y, int flags, void* param)
     PyGILState_Release(gstate);
 }
 
-static PyObject *pycvSetMouseCallback(PyObject *self, PyObject *args, PyObject *kw)
+static PyObject *pycvSetMouseCallback(PyObject*, PyObject *args, PyObject *kw)
 {
     const char *keywords[] = { "window_name", "on_mouse", "param", NULL };
     char* name;
@@ -961,7 +989,7 @@ static void OnChange(int pos, void *param)
     PyGILState_Release(gstate);
 }
 
-static PyObject *pycvCreateTrackbar(PyObject *self, PyObject *args)
+static PyObject *pycvCreateTrackbar(PyObject*, PyObject *args)
 {
     PyObject *on_change;
     char* trackbar_name;
@@ -983,6 +1011,11 @@ static PyObject *pycvCreateTrackbar(PyObject *self, PyObject *args)
 
 #define MKTYPE2(NAME) pyopencv_##NAME##_specials(); if (!to_ok(&pyopencv_##NAME##_Type)) return
 
+#ifdef __GNUC__
+#  pragma GCC diagnostic ignored "-Wunused-parameter"
+#  pragma GCC diagnostic ignored "-Wmissing-field-initializers"
+#endif
+
 #include "pyopencv_generated_types.h"
 #include "pyopencv_generated_funcs.h"
 

modules/stitching/perf/perf_stich.cpp

@@ -1,9 +1,4 @@
 #include "perf_precomp.hpp"
-
-#ifdef __GNUC__
-#  pragma GCC diagnostic ignored "-Wsign-promo"
-#endif
-
 #include "opencv2/highgui/highgui.hpp"
 #include "opencv2/core/internal.hpp"
 #include "opencv2/flann/flann.hpp"

samples/gpu/cascadeclassifier_nvidia_api.cpp

@@ -18,7 +18,7 @@ using namespace cv;
 
 
 #if !defined(HAVE_CUDA)
-int main( int argc, const char** argv )
+int main( int, const char** )
 {
     cout << "Please compile the library with CUDA support" << endl;
     return -1;

samples/gpu/opticalflow_nvidia_api.cpp

@@ -20,7 +20,7 @@
 #endif
 
 #if !defined(HAVE_CUDA)
-int main( int argc, const char** argv )
+int main( int, const char** )
 {
     std::cout << "Please compile the library with CUDA support" << std::endl;
     return -1;