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

modules/calib3d/include/opencv2/calib3d.hpp

@@ -2607,7 +2607,7 @@ final fundamental matrix. It can be set to something like 1-3, depending on the
 point localization, image resolution, and the image noise.
 @param confidence Parameter used for the RANSAC and LMedS methods only. It specifies a desirable level
 of confidence (probability) that the estimated matrix is correct.
-@param mask
+@param[out] mask optional output mask
 @param maxIters The maximum number of robust method iterations.
 
 The epipolar geometry is described by the following equation:

modules/core/include/opencv2/core/eigen.hpp

@@ -58,11 +58,13 @@
 #pragma warning( disable: 4244 ) //conversion from '__int64' to 'int', possible loss of data
 #endif
 
+#if !defined(OPENCV_DISABLE_EIGEN_TENSOR_SUPPORT)
 #if EIGEN_WORLD_VERSION == 3 && EIGEN_MAJOR_VERSION >= 3 \
     && defined(CV_CXX11) && defined(CV_CXX_STD_ARRAY)
 #include <unsupported/Eigen/CXX11/Tensor>
-#define OPENCV_EIGEN_TENSOR_SUPPORT
+#define OPENCV_EIGEN_TENSOR_SUPPORT 1
 #endif  // EIGEN_WORLD_VERSION == 3 && EIGEN_MAJOR_VERSION >= 3
+#endif  // !defined(OPENCV_DISABLE_EIGEN_TENSOR_SUPPORT)
 
 namespace cv
 {

modules/core/src/matrix.cpp

@@ -236,13 +236,20 @@ void setSize( Mat& m, int _dims, const int* _sz, const size_t* _steps, bool auto
         m.size.p[i] = s;
 
         if( _steps )
+        {
+            if (i < _dims-1)
             {
                 if (_steps[i] % esz1 != 0)
                 {
-                CV_Error(Error::BadStep, "Step must be a multiple of esz1");
+                    CV_Error_(Error::BadStep, ("Step %zu for dimension %d must be a multiple of esz1 %zu", _steps[i], i, esz1));
                 }
 
-            m.step.p[i] = i < _dims-1 ? _steps[i] : esz;
+                m.step.p[i] = _steps[i];
+            }
+            else
+            {
+                m.step.p[i] = esz;
+            }
         }
         else if( autoSteps )
         {

modules/core/src/parallel.cpp

@@ -54,7 +54,8 @@
 #endif
 
 #if defined __linux__ || defined __APPLE__ || defined __GLIBC__ \
-    || defined __HAIKU__ || defined __EMSCRIPTEN__ || defined __FreeBSD__
+    || defined __HAIKU__ || defined __EMSCRIPTEN__ || defined __FreeBSD__ \
+    || defined __OpenBSD__
     #include <unistd.h>
     #include <stdio.h>
     #include <sys/types.h>

modules/core/test/test_mat.cpp

@@ -2175,4 +2175,32 @@ TEST(Mat, empty_iterator_16855)
     EXPECT_TRUE(m.begin<uchar>() == m.end<uchar>());
 }
 
+
+TEST(Mat, regression_18473)
+{
+    std::vector<int> sizes(3);
+    sizes[0] = 20;
+    sizes[1] = 50;
+    sizes[2] = 100;
+#if 1  // with the fix
+    std::vector<size_t> steps(2);
+    steps[0] = 50*100*2;
+    steps[1] = 100*2;
+#else  // without the fix
+    std::vector<size_t> steps(3);
+    steps[0] = 50*100*2;
+    steps[1] = 100*2;
+    steps[2] = 2;
+#endif
+    std::vector<short> data(20*50*100, 0);  // 1Mb
+    data[data.size() - 1] = 5;
+
+    // param steps Array of ndims-1 steps
+    Mat m(sizes, CV_16SC1, (void*)data.data(), (const size_t*)steps.data());
+
+    ASSERT_FALSE(m.empty());
+    EXPECT_EQ((int)5, (int)m.at<short>(19, 49, 99));
+}
+
+
 }} // namespace

modules/dnn/src/dnn.cpp

@@ -3934,11 +3934,16 @@ void Net::connect(String _outPin, String _inPin)
 Mat Net::forward(const String& outputName)
 {
     CV_TRACE_FUNCTION();
+    CV_Assert(!empty());
 
     String layerName = outputName;
 
     if (layerName.empty())
-        layerName = getLayerNames().back();
+    {
+        std::vector<String> layerNames = getLayerNames();
+        CV_Assert(!layerNames.empty());
+        layerName = layerNames.back();
+    }
 
     std::vector<LayerPin> pins(1, impl->getPinByAlias(layerName));
     impl->setUpNet(pins);
@@ -3950,11 +3955,17 @@ Mat Net::forward(const String& outputName)
 AsyncArray Net::forwardAsync(const String& outputName)
 {
     CV_TRACE_FUNCTION();
+    CV_Assert(!empty());
+
 #ifdef CV_CXX11
     String layerName = outputName;
 
     if (layerName.empty())
-        layerName = getLayerNames().back();
+    {
+        std::vector<String> layerNames = getLayerNames();
+        CV_Assert(!layerNames.empty());
+        layerName = layerNames.back();
+    }
 
     std::vector<LayerPin> pins(1, impl->getPinByAlias(layerName));
     impl->setUpNet(pins);
@@ -3975,11 +3986,16 @@ AsyncArray Net::forwardAsync(const String& outputName)
 void Net::forward(OutputArrayOfArrays outputBlobs, const String& outputName)
 {
     CV_TRACE_FUNCTION();
+    CV_Assert(!empty());
 
     String layerName = outputName;
 
     if (layerName.empty())
-        layerName = getLayerNames().back();
+    {
+        std::vector<String> layerNames = getLayerNames();
+        CV_Assert(!layerNames.empty());
+        layerName = layerNames.back();
+    }
 
     std::vector<LayerPin> pins(1, impl->getPinByAlias(layerName));
     impl->setUpNet(pins);
@@ -4571,6 +4587,8 @@ std::vector<Ptr<Layer> > Net::getLayerInputs(LayerId layerId)
 
 std::vector<String> Net::getLayerNames() const
 {
+    CV_TRACE_FUNCTION();
+
     std::vector<String> res;
     res.reserve(impl->layers.size());
 

modules/dnn/test/test_misc.cpp

@@ -99,6 +99,15 @@ TEST(readNet, do_not_call_setInput)  // https://github.com/opencv/opencv/issues/
     EXPECT_TRUE(res.empty()) << res.size;
 }
 
+TEST(Net, empty_forward_18392)
+{
+    cv::dnn::Net net;
+    Mat image(Size(512, 512), CV_8UC3, Scalar::all(0));
+    Mat inputBlob = cv::dnn::blobFromImage(image, 1.0, Size(512, 512), Scalar(0,0,0), true, false);
+    net.setInput(inputBlob);
+    EXPECT_ANY_THROW(Mat output = net.forward());
+}
+
 #ifdef HAVE_INF_ENGINE
 static
 void test_readNet_IE_do_not_call_setInput(Backend backendId)

modules/java/generator/gen_java.py

@@ -787,6 +787,7 @@ class JavaWrapperGenerator(object):
                             inCode = True
                         if "</code>" in line:
                             inCode = False
+                        line = line.replace('@result ', '@return ')  # @result is valid in Doxygen, but invalid in Javadoc
                         if "@return " in line:
                             returnTag = True
 

modules/videoio/src/cap_dc1394_v2.cpp

@@ -207,60 +207,57 @@ bool CvCaptureCAM_DC1394_v2_CPP::startCapture()
                                           DC1394_ISO_SPEED_3200);
     }
 
-    // should a specific mode be used
-    if (userMode >= 0)
-
-    {
-        dc1394video_mode_t wantedMode;
     dc1394video_modes_t videoModes;
     dc1394_video_get_supported_modes(dcCam, &videoModes);
 
-        //set mode from number, for example the second supported mode, i.e userMode = 1
+    // should a specific mode be used
+    while (userMode >= 0)  // 'if' semantic, no real loop here
+    {
+        dc1394video_mode_t wantedMode;
 
         if (userMode < (int)videoModes.num)
         {
+            // set mode from number, for example the second supported mode, i.e userMode = 1
             wantedMode = videoModes.modes[userMode];
         }
-
-        //set modes directly from DC134 constants (from dc1394video_mode_t)
         else if ((userMode >= DC1394_VIDEO_MODE_MIN) && (userMode <= DC1394_VIDEO_MODE_MAX))
         {
+            // set modes directly from DC134 constants (from dc1394video_mode_t)
+
             //search for wanted mode, to check if camera supports it
             int j = 0;
             while ((j < (int)videoModes.num) && videoModes.modes[j] != userMode)
             {
                 j++;
             }
-
+            if (!(j < (int)videoModes.num))
-            if ((int)videoModes.modes[j]==userMode)
             {
+                userMode = -1;  // wanted mode not supported, search for best mode
+                break;
+            }
+
             wantedMode = videoModes.modes[j];
         }
         else
         {
             userMode = -1;  // wanted mode not supported, search for best mode
+            break;
         }
-        }
+
-        else
-        {
-            userMode = -1;      // wanted mode not supported, search for best mode
-        }
         //if userMode is available: set it and update size
-        if (userMode != -1)
         {
             code = dc1394_video_set_mode(dcCam, wantedMode);
-            uint32_t width, height;
+            uint32_t width = 0, height = 0;
             dc1394_get_image_size_from_video_mode(dcCam, wantedMode, &width, &height);
             frameWidth  = (int)width;
             frameHeight = (int)height;
         }
+        break;
     }
 
     if (userMode == -1 && (frameWidth > 0 || frameHeight > 0))
     {
-        dc1394video_mode_t bestMode = (dc1394video_mode_t) - 1;
+        dc1394video_mode_t bestMode = (dc1394video_mode_t)(-1);
-        dc1394video_modes_t videoModes;
-        dc1394_video_get_supported_modes(dcCam, &videoModes);
         for (i = 0; i < (int)videoModes.num; i++)
         {
             dc1394video_mode_t mode = videoModes.modes[i];