Fixed several warnings on various platforms

3rdparty/libjasper/CMakeLists.txt

@@ -29,6 +29,10 @@ if(MSVC)
   add_definitions(-DJAS_WIN_MSVC_BUILD)
 endif()
 
+if(CMAKE_COMPILER_IS_GNUCXX)
+  set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -Wno-uninitialized")
+endif()
+
 if(UNIX)
   if(CMAKE_COMPILER_IS_GNUCXX OR CV_ICC)
     set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -fPIC")

modules/contrib/src/colormap.cpp

@@ -47,7 +47,7 @@ static void sortMatrixRowsByIndices(InputArray _src, InputArray _indices, Output
     Mat dst = _dst.getMat();
     for(size_t idx = 0; idx < indices.size(); idx++) {
         Mat originalRow = src.row(indices[idx]);
-        Mat sortedRow = dst.row(idx);
+        Mat sortedRow = dst.row((int)idx);
         originalRow.copyTo(sortedRow);
     }
 }
@@ -127,8 +127,9 @@ static Mat interp1(InputArray _x, InputArray _Y, InputArray _xi)
         case CV_32SC1: return interp1_<int>(x,Y,xi); break;
         case CV_32FC1: return interp1_<float>(x,Y,xi); break;
         case CV_64FC1: return interp1_<double>(x,Y,xi); break;
-        default: CV_Error(CV_StsUnsupportedFormat, ""); return Mat();
+        default: CV_Error(CV_StsUnsupportedFormat, ""); break;
     }
+    return Mat();
 }
     
 namespace colormap

modules/contrib/src/facerec.cpp

@@ -384,7 +384,7 @@ void Fisherfaces::train(InputArray src, InputArray _lbls) {
     if(labels.size() != (size_t)N)
         CV_Error(CV_StsUnsupportedFormat, "Labels must be given as integer (CV_32SC1).");
     // compute the Fisherfaces
-    int C = remove_dups(labels).size(); // number of unique classes
+    int C = (int)remove_dups(labels).size(); // number of unique classes
     // clip number of components to be a valid number
     if((_num_components <= 0) || (_num_components > (C-1)))
         _num_components = (C-1);
@@ -549,7 +549,7 @@ histc_(const Mat& src, int minVal=0, int maxVal=255, bool normed=false)
     calcHist(&src, 1, 0, Mat(), result, 1, &histSize, &histRange, true, false);
     // normalize
     if(normed) {
-        result /= src.total();
+        result /= (int)src.total();
     }
     return result.reshape(1,1);
 }

modules/contrib/src/lda.cpp

@@ -62,7 +62,7 @@ static Mat asRowMatrix(InputArrayOfArrays src, int rtype, double alpha=1, double
     if(n == 0)
         return Mat();
     // dimensionality of samples
-    int d = src.getMat(0).total();
+    int d = (int)src.getMat(0).total();
     // create data matrix
     Mat data(n, d, rtype);
     // copy data
@@ -82,7 +82,7 @@ void sortMatrixColumnsByIndices(InputArray _src, InputArray _indices, OutputArra
     Mat dst = _dst.getMat();
     for(size_t idx = 0; idx < indices.size(); idx++) {
         Mat originalCol = src.col(indices[idx]);
-        Mat sortedCol = dst.col(idx);
+        Mat sortedCol = dst.col((int)idx);
         originalCol.copyTo(sortedCol);
     }
 }
@@ -947,14 +947,14 @@ void LDA::lda(InputArray _src, InputArray _lbls) {
     vector<int> num2label = remove_dups(labels);
     map<int, int> label2num;
     for (size_t i = 0; i < num2label.size(); i++)
-        label2num[num2label[i]] = i;
+        label2num[num2label[i]] = (int)i;
     for (size_t i = 0; i < labels.size(); i++)
         mapped_labels[i] = label2num[labels[i]];
     // get sample size, dimension
     int N = data.rows;
     int D = data.cols;
     // number of unique labels
-    int C = num2label.size();
+    int C = (int)num2label.size();
     // throw error if less labels, than samples
     if (labels.size() != (size_t)N)
         CV_Error(CV_StsBadArg, "Error: The number of samples must equal the number of labels.");

modules/contrib/src/spinimages.cpp

@@ -1171,7 +1171,7 @@ private:
                 break;
                         
             std::transform(left.begin(), left.end(), buf_beg,  WgcHelper(group, groupingMat));
-            int minInd = min_element(buf_beg, buf_beg + left_size) - buf_beg;
+            size_t minInd = min_element(buf_beg, buf_beg + left_size) - buf_beg;
             
             if (buf[minInd] < model.T_GroupingCorespondances) /* can add corespondance to group */
             {

modules/core/src/dxt.cpp

@@ -47,6 +47,7 @@ namespace cv
 // On Win64 optimized versions of DFT and DCT fail the tests (fixed in VS2010)
 #if defined _MSC_VER && !defined CV_ICC && defined _M_X64 && _MSC_VER < 1600
 #pragma optimize("", off)
+#pragma warning( disable : 4748 )
 #endif
 
 /****************************************************************************************\

modules/gpu/test/test_calib3d.cpp

@@ -249,7 +249,7 @@ TEST_P(ProjectPoints, Accuracy)
 
     for (size_t i = 0; i < dst_gold.size(); ++i)
     {
-        cv::Point2f res = h_dst.at<cv::Point2f>(0, i);
+        cv::Point2f res = h_dst.at<cv::Point2f>(0, (int)i);
         cv::Point2f res_gold = dst_gold[i];
 
         ASSERT_LE(cv::norm(res_gold - res) / cv::norm(res_gold), 1e-3f);
@@ -291,7 +291,7 @@ TEST_P(SolvePnPRansac, Accuracy)
 
     cv::Mat rvec, tvec;
     std::vector<int> inliers;
-    cv::gpu::solvePnPRansac(object, cv::Mat(1, image_vec.size(), CV_32FC2, &image_vec[0]),
+    cv::gpu::solvePnPRansac(object, cv::Mat(1, (int)image_vec.size(), CV_32FC2, &image_vec[0]),
                             camera_mat, cv::Mat(1, 8, CV_32F, cv::Scalar::all(0)),
                             rvec, tvec, false, 200, 2.f, 100, &inliers);
 

modules/gpu/test/test_video.cpp

@@ -244,7 +244,7 @@ TEST_P(PyrLKOpticalFlow, Sparse)
     cv::goodFeaturesToTrack(gray_frame, pts, 1000, 0.01, 0.0);
 
     cv::gpu::GpuMat d_pts;
-    cv::Mat pts_mat(1, pts.size(), CV_32FC2, (void*)&pts[0]);
+    cv::Mat pts_mat(1, (int)pts.size(), CV_32FC2, (void*)&pts[0]);
     d_pts.upload(pts_mat);
 
     cv::gpu::PyrLKOpticalFlow pyrLK;

modules/python/src2/cv2.cpp

@@ -376,8 +376,9 @@ static bool pyopencv_to(PyObject* obj, uchar& value, const char* name = "<unknow
 {
     if(!obj || obj == Py_None)
         return true;
-    value = (int)PyInt_AsLong(obj);
+    int ivalue = (int)PyInt_AsLong(obj);
-    return value != -1 || !PyErr_Occurred();
+    value = cv::saturate_cast<uchar>(ivalue);
+    return ivalue != -1 || !PyErr_Occurred();
 }
 
 static PyObject* pyopencv_from(double value)

modules/videostab/src/global_motion.cpp

@@ -353,7 +353,7 @@ Mat getMotion(int from, int to, const Mat *motions, int size)
 
 Mat getMotion(int from, int to, const vector<Mat> &motions)
 {
-    return getMotion(from, to, &motions[0], motions.size());
+    return getMotion(from, to, &motions[0], (int)motions.size());
 }
 
 } // namespace videostab

modules/videostab/src/stabilizer.cpp

@@ -258,7 +258,7 @@ void OnePassStabilizer::estimateMotion()
 
 void OnePassStabilizer::stabilizeFrame()
 {
-    Mat stabilizationMotion = motionFilter_->stabilize(curStabilizedPos_, &motions_[0], motions_.size());
+    Mat stabilizationMotion = motionFilter_->stabilize(curStabilizedPos_, &motions_[0], (int)motions_.size());
     StabilizerBase::stabilizeFrame(stabilizationMotion);
 }
 

samples/c/contours.c

@@ -49,7 +49,7 @@ static void findCComp( IplImage* img )
 }
 
 
-int main( int argc, char** argv )
+int main()
 {
     int i, j;
     CvMemStorage* storage = cvCreateMemStorage(0);

samples/c/fback_c.c

@@ -24,7 +24,7 @@ void drawOptFlowMap(const CvMat* flow, CvMat* cflowmap, int step,
         }
 }
 
-int main(int argc, char** argv)
+int main()
 {
     CvCapture* capture = cvCreateCameraCapture(0);
     CvMat* prevgray = 0, *gray = 0, *flow = 0, *cflow = 0;

samples/gpu/brox_optical_flow.cpp

@@ -215,7 +215,6 @@ int main(int argc, const char* argv[])
             switch (key)
             {
             case 27:
-                return 0;
                 break;
 
             case 'A':