Merge remote-tracking branch 'upstream/3.4' into merge-3.4

doc/Doxyfile.in

@@ -39,7 +39,6 @@ ALIASES               += end_toggle="@htmlonly[block] </div> @endhtmlonly"
 ALIASES               += prev_tutorial{1}="**Prev  Tutorial:** \ref \1 \n"
 ALIASES               += next_tutorial{1}="**Next  Tutorial:** \ref \1 \n"
 ALIASES               += youtube{1}="@htmlonly[block]<div align='center'><iframe title='Video' width='560' height='349' src='https://www.youtube.com/embed/\1?rel=0' frameborder='0' align='middle' allowfullscreen></iframe></div>@endhtmlonly"
-TCL_SUBST              =
 OPTIMIZE_OUTPUT_FOR_C  = NO
 OPTIMIZE_OUTPUT_JAVA   = NO
 OPTIMIZE_FOR_FORTRAN   = NO

modules/core/include/opencv2/core/mat.hpp

@@ -694,11 +694,16 @@ sub-matrices.
     -# Process "foreign" data using OpenCV (for example, when you implement a DirectShow\* filter or
     a processing module for gstreamer, and so on). For example:
     @code
-        void process_video_frame(const unsigned char* pixels,
-                                 int width, int height, int step)
+        Mat process_video_frame(const unsigned char* pixels,
+                                int width, int height, int step)
         {
-            Mat img(height, width, CV_8UC3, pixels, step);
-            GaussianBlur(img, img, Size(7,7), 1.5, 1.5);
+            // wrap input buffer
+            Mat img(height, width, CV_8UC3, (unsigned char*)pixels, step);
+
+            Mat result;
+            GaussianBlur(img, result, Size(7, 7), 1.5, 1.5);
+
+            return result;
         }
     @endcode
     -# Quickly initialize small matrices and/or get a super-fast element access.

modules/core/include/opencv2/core/vsx_utils.hpp

@@ -503,7 +503,7 @@ VSX_IMPL_CONV_EVEN_2_4(vec_uint4,  vec_double2, vec_ctu, vec_ctuo)
     VSX_IMPL_CONV_2VARIANT(vec_int4,   vec_float4,  vec_cts, vec_cts)
     VSX_IMPL_CONV_2VARIANT(vec_float4, vec_int4,    vec_ctf, vec_ctf)
     // define vec_cts for converting double precision to signed doubleword
-    // which isn't combitable with xlc but its okay since Eigen only use it for gcc
+    // which isn't compatible with xlc but its okay since Eigen only uses it for gcc
     VSX_IMPL_CONV_2VARIANT(vec_dword2, vec_double2, vec_cts, vec_ctsl)
 #endif // Eigen
 

modules/core/src/matmul.simd.hpp

@@ -1537,7 +1537,7 @@ transform_8u( const uchar* src, uchar* dst, const float* m, int len, int scn, in
 static void
 transform_16u( const ushort* src, ushort* dst, const float* m, int len, int scn, int dcn )
 {
-#if CV_SIMD && !defined(__aarch64__) && !defined(_M_ARM64)
+#if CV_SIMD
     if( scn == 3 && dcn == 3 )
     {
         int x = 0;

modules/flann/include/opencv2/flann/all_indices.h

@@ -82,7 +82,7 @@ struct index_creator
             nnIndex = new LshIndex<Distance>(dataset, params, distance);
             break;
         default:
-            throw FLANNException("Unknown index type");
+            FLANN_THROW(cv::Error::StsBadArg, "Unknown index type");
         }
 
         return nnIndex;
@@ -111,7 +111,7 @@ struct index_creator<False,VectorSpace,Distance>
             nnIndex = new LshIndex<Distance>(dataset, params, distance);
             break;
         default:
-            throw FLANNException("Unknown index type");
+            FLANN_THROW(cv::Error::StsBadArg, "Unknown index type");
         }
 
         return nnIndex;
@@ -140,7 +140,7 @@ struct index_creator<False,False,Distance>
             nnIndex = new LshIndex<Distance>(dataset, params, distance);
             break;
         default:
-            throw FLANNException("Unknown index type");
+            FLANN_THROW(cv::Error::StsBadArg, "Unknown index type");
         }
 
         return nnIndex;

modules/flann/include/opencv2/flann/autotuned_index.h

@@ -34,7 +34,6 @@
 
 #include <sstream>
 
-#include "general.h"
 #include "nn_index.h"
 #include "ground_truth.h"
 #include "index_testing.h"

modules/flann/include/opencv2/flann/composite_index.h

@@ -33,7 +33,6 @@
 
 //! @cond IGNORED
 
-#include "general.h"
 #include "nn_index.h"
 #include "kdtree_index.h"
 #include "kmeans_index.h"

modules/flann/include/opencv2/flann/flann_base.hpp

@@ -82,11 +82,11 @@ NNIndex<Distance>* load_saved_index(const Matrix<typename Distance::ElementType>
     IndexHeader header = load_header(fin);
     if (header.data_type != Datatype<ElementType>::type()) {
         fclose(fin);
-        throw FLANNException("Datatype of saved index is different than of the one to be created.");
+        FLANN_THROW(cv::Error::StsError, "Datatype of saved index is different than of the one to be created.");
     }
     if ((size_t(header.rows) != dataset.rows)||(size_t(header.cols) != dataset.cols)) {
         fclose(fin);
-        throw FLANNException("The index saved belongs to a different dataset");
+        FLANN_THROW(cv::Error::StsError, "The index saved belongs to a different dataset");
     }
 
     IndexParams params;
@@ -140,7 +140,7 @@ public:
     {
         FILE* fout = fopen(filename.c_str(), "wb");
         if (fout == NULL) {
-            throw FLANNException("Cannot open file");
+            FLANN_THROW(cv::Error::StsError, "Cannot open file");
         }
         save_header(fout, *nnIndex_);
         saveIndex(fout);

modules/flann/include/opencv2/flann/general.h

@@ -31,6 +31,8 @@
 #ifndef OPENCV_FLANN_GENERAL_H_
 #define OPENCV_FLANN_GENERAL_H_
 
+#if CV_VERSION_MAJOR <= 4
+
 //! @cond IGNORED
 
 #include "opencv2/core.hpp"
@@ -48,6 +50,14 @@ public:
 
 }
 
+#define FLANN_THROW(TYPE, STR) throw FLANNException(STR)
+
+#else
+
+#define FLANN_THROW(TYPE, STR) CV_Error(TYPE, STR)
+
+#endif
+
 //! @endcond
 
 #endif  /* OPENCV_FLANN_GENERAL_H_ */

modules/flann/include/opencv2/flann/hierarchical_clustering_index.h

@@ -382,7 +382,7 @@ public:
             chooseCenters = &HierarchicalClusteringIndex::GroupWiseCenterChooser;
         }
         else {
-            throw FLANNException("Unknown algorithm for choosing initial centers.");
+            FLANN_THROW(cv::Error::StsError, "Unknown algorithm for choosing initial centers.");
         }
 
         root = new NodePtr[trees_];
@@ -446,7 +446,7 @@ public:
     void buildIndex() CV_OVERRIDE
     {
         if (branching_<2) {
-            throw FLANNException("Branching factor must be at least 2");
+            FLANN_THROW(cv::Error::StsError, "Branching factor must be at least 2");
         }
 
         free_indices();

modules/flann/include/opencv2/flann/index_testing.h

@@ -93,7 +93,7 @@ float search_with_ground_truth(NNIndex<Distance>& index, const Matrix<typename D
     if (matches.cols<size_t(nn)) {
         Logger::info("matches.cols=%d, nn=%d\n",matches.cols,nn);
 
-        throw FLANNException("Ground truth is not computed for as many neighbors as requested");
+        FLANN_THROW(cv::Error::StsError, "Ground truth is not computed for as many neighbors as requested");
     }
 
     KNNResultSet<DistanceType> resultSet(nn+skipMatches);

modules/flann/include/opencv2/flann/kdtree_index.h

@@ -37,7 +37,6 @@
 #include <map>
 #include <cstring>
 
-#include "general.h"
 #include "nn_index.h"
 #include "dynamic_bitset.h"
 #include "matrix.h"

modules/flann/include/opencv2/flann/kdtree_single_index.h

@@ -37,7 +37,6 @@
 #include <map>
 #include <cstring>
 
-#include "general.h"
 #include "nn_index.h"
 #include "matrix.h"
 #include "result_set.h"

modules/flann/include/opencv2/flann/kmeans_index.h

@@ -370,7 +370,7 @@ public:
             chooseCenters = &KMeansIndex::chooseCentersKMeanspp;
         }
         else {
-            throw FLANNException("Unknown algorithm for choosing initial centers.");
+            FLANN_THROW(cv::Error::StsBadArg, "Unknown algorithm for choosing initial centers.");
         }
         cb_index_ = 0.4f;
 
@@ -442,7 +442,7 @@ public:
     void buildIndex() CV_OVERRIDE
     {
         if (branching_<2) {
-            throw FLANNException("Branching factor must be at least 2");
+            FLANN_THROW(cv::Error::StsError, "Branching factor must be at least 2");
         }
 
         free_indices();
@@ -559,7 +559,7 @@ public:
     {
         int numClusters = centers.rows;
         if (numClusters<1) {
-            throw FLANNException("Number of clusters must be at least 1");
+            FLANN_THROW(cv::Error::StsBadArg, "Number of clusters must be at least 1");
         }
 
         DistanceType variance;

modules/flann/include/opencv2/flann/linear_index.h

@@ -33,7 +33,6 @@
 
 //! @cond IGNORED
 
-#include "general.h"
 #include "nn_index.h"
 
 namespace cvflann

modules/flann/include/opencv2/flann/lsh_index.h

@@ -42,7 +42,6 @@
 #include <map>
 #include <vector>
 
-#include "general.h"
 #include "nn_index.h"
 #include "matrix.h"
 #include "result_set.h"

modules/flann/include/opencv2/flann/matrix.h

@@ -35,8 +35,6 @@
 
 #include <stdio.h>
 
-#include "general.h"
-
 namespace cvflann
 {
 

modules/flann/include/opencv2/flann/nn_index.h

@@ -31,7 +31,6 @@
 #ifndef OPENCV_FLANN_NNINDEX_H
 #define OPENCV_FLANN_NNINDEX_H
 
-#include "general.h"
 #include "matrix.h"
 #include "result_set.h"
 #include "params.h"

modules/flann/include/opencv2/flann/params.h

@@ -91,7 +91,7 @@ T get_param(const IndexParams& params, cv::String name)
         return it->second.cast<T>();
     }
     else {
-        throw FLANNException(cv::String("Missing parameter '")+name+cv::String("' in the parameters given"));
+        FLANN_THROW(cv::Error::StsBadArg, cv::String("Missing parameter '")+name+cv::String("' in the parameters given"));
     }
 }
 

modules/flann/include/opencv2/flann/random.h

@@ -37,8 +37,6 @@
 #include <cstdlib>
 #include <vector>
 
-#include "general.h"
-
 namespace cvflann
 {
 

modules/flann/include/opencv2/flann/saving.h

@@ -112,11 +112,11 @@ inline IndexHeader load_header(FILE* stream)
     size_t read_size = fread(&header,sizeof(header),1,stream);
 
     if (read_size!=(size_t)1) {
-        throw FLANNException("Invalid index file, cannot read");
+        FLANN_THROW(cv::Error::StsError, "Invalid index file, cannot read");
     }
 
     if (strcmp(header.signature,FLANN_SIGNATURE_)!=0) {
-        throw FLANNException("Invalid index file, wrong signature");
+        FLANN_THROW(cv::Error::StsError, "Invalid index file, wrong signature");
     }
 
     return header;
@@ -150,7 +150,7 @@ void load_value(FILE* stream, T& value, size_t count = 1)
 {
     size_t read_cnt = fread(&value, sizeof(value), count, stream);
     if (read_cnt != count) {
-        throw FLANNException("Cannot read from file");
+        FLANN_THROW(cv::Error::StsParseError, "Cannot read from file");
     }
 }
 
@@ -159,12 +159,12 @@ void load_value(FILE* stream, cvflann::Matrix<T>& value)
 {
     size_t read_cnt = fread(&value, sizeof(value), 1, stream);
     if (read_cnt != 1) {
-        throw FLANNException("Cannot read from file");
+        FLANN_THROW(cv::Error::StsParseError, "Cannot read from file");
     }
     value.data = new T[value.rows*value.cols];
     read_cnt = fread(value.data, sizeof(T), value.rows*value.cols, stream);
     if (read_cnt != (size_t)(value.rows*value.cols)) {
-        throw FLANNException("Cannot read from file");
+        FLANN_THROW(cv::Error::StsParseError, "Cannot read from file");
     }
 }
 
@@ -175,12 +175,12 @@ void load_value(FILE* stream, std::vector<T>& value)
     size_t size;
     size_t read_cnt = fread(&size, sizeof(size_t), 1, stream);
     if (read_cnt!=1) {
-        throw FLANNException("Cannot read from file");
+        FLANN_THROW(cv::Error::StsError, "Cannot read from file");
     }
     value.resize(size);
     read_cnt = fread(&value[0], sizeof(T), size, stream);
     if (read_cnt != size) {
-        throw FLANNException("Cannot read from file");
+        FLANN_THROW(cv::Error::StsError, "Cannot read from file");
     }
 }
 

modules/flann/src/precomp.hpp

@@ -13,7 +13,6 @@
 #include "opencv2/flann/index_testing.h"
 #include "opencv2/flann/params.h"
 #include "opencv2/flann/saving.h"
-#include "opencv2/flann/general.h"
 
 // index types
 #include "opencv2/flann/all_indices.h"

modules/imgproc/src/intersection.cpp

@@ -54,6 +54,12 @@ int rotatedRectangleIntersection( const RotatedRect& rect1, const RotatedRect& r
     // L2 metric
     const float samePointEps = std::max(1e-16f, 1e-6f * (float)std::max(rect1.size.area(), rect2.size.area()));
 
+    if (rect1.size.empty() || rect2.size.empty())
+    {
+        intersectingRegion.release();
+        return INTERSECT_NONE;
+    }
+
     Point2f vec1[4], vec2[4];
     Point2f pts1[4], pts2[4];
 

modules/imgproc/test/test_intersection.cpp

@@ -366,4 +366,29 @@ TEST(Imgproc_RotatedRectangleIntersection, regression_12221_2)
     EXPECT_LE(intersections.size(), (size_t)8);
 }
 
+TEST(Imgproc_RotatedRectangleIntersection, regression_18520)
+{
+    RotatedRect rr_empty(
+        Point2f(2, 2),
+        Size2f(0, 0),  // empty
+        0);
+    RotatedRect rr(
+        Point2f(50, 50),
+        Size2f(4, 4),
+        0);
+
+    {
+        std::vector<Point2f> intersections;
+        int interType = cv::rotatedRectangleIntersection(rr_empty, rr, intersections);
+        EXPECT_EQ(INTERSECT_NONE, interType) << "rr_empty, rr";
+        EXPECT_EQ((size_t)0, intersections.size()) << "rr_empty, rr";
+    }
+    {
+        std::vector<Point2f> intersections;
+        int interType = cv::rotatedRectangleIntersection(rr, rr_empty, intersections);
+        EXPECT_EQ(INTERSECT_NONE, interType) << "rr, rr_empty";
+        EXPECT_EQ((size_t)0, intersections.size()) << "rr, rr_empty";
+    }
+}
+
 }} // namespace

modules/js/generator/embindgen.py

@@ -822,7 +822,7 @@ class JSWrapperGenerator(object):
 
 
             # Generate bindings for properties
-            for property in sorted(class_info.props):
+            for property in class_info.props:
                 _class_property = class_property_enum_template if property.tp in type_dict else class_property_template
                 class_bindings.append(_class_property.substitute(js_name=property.name, cpp_name='::'.join(
                     [class_info.cname, property.name])))