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

modules/dnn/src/onnx/onnx_importer.cpp

@@ -925,7 +925,7 @@ void ONNXImporter::handleNode(const opencv_onnx::NodeProto& node_proto_)
                 int blob_total = blob.total();
                 if (blob_total == 1) {
                     layerParams.type = "Power";
-                    layerParams.set("shift", (isSub ? -1 : 1) * blob.at<float>(0));
+                    layerParams.set("shift", (isSub ? -1 : 1) * blob.ptr<float>()[0]);
                 }
                 else {
                     MatShape inpShape = outShapes[node_proto.input(1 - const_blob_id)];
@@ -1019,7 +1019,7 @@ void ONNXImporter::handleNode(const opencv_onnx::NodeProto& node_proto_)
 
             blob.convertTo(blob, CV_32F);
             layerParams.type = "Power";
-            layerParams.set("power", blob.at<float>(0));
+            layerParams.set("power", blob.ptr<float>()[0]);
         }
         else if (layer_type == "Max")
         {
@@ -1305,7 +1305,8 @@ void ONNXImporter::handleNode(const opencv_onnx::NodeProto& node_proto_)
                 Mat blob = getBlob(node_proto, constId);
                 blob = blob.reshape(1, 1);
                 if (blob.total() == 1) {
-                    float coeff = isDiv ? 1.0 / blob.at<float>(0) : blob.at<float>(0);
+                    float blob_value = blob.ptr<float>()[0];
+                    float coeff = isDiv ? 1.0 / blob_value : blob_value;
                     layerParams.set("scale", coeff);
                     layerParams.type = "Power";
                 }
@@ -1343,12 +1344,14 @@ void ONNXImporter::handleNode(const opencv_onnx::NodeProto& node_proto_)
                 {
                     if (inp0.total() == 1)
                     {
-                        float coeff = isDiv ? 1.0 / inp0.at<float>(0) : inp0.at<float>(0);
+                        float inp0_value = inp0.ptr<float>()[0];
+                        float coeff = isDiv ? 1.0 / inp0_value : inp0_value;
                         multiply(inp1, coeff, out);
                     }
                     else
                     {
-                        float coeff = isDiv ? 1.0 / inp1.at<float>(0) : inp1.at<float>(0);
+                        float inp1_value = inp1.ptr<float>()[0];
+                        float coeff = isDiv ? 1.0 / inp1_value : inp1_value;
                         multiply(inp0, coeff, out);
                     }
 
@@ -1767,7 +1770,7 @@ void ONNXImporter::handleNode(const opencv_onnx::NodeProto& node_proto_)
                 if (node_proto.input_size() == 3)
                 {
                     Mat value = getBlob(node_proto, 2);
-                    layerParams.set("value", value.at<float>(0));
+                    layerParams.set("value", value.ptr<float>()[0]);
                 }
             }
         }

modules/highgui/src/window_QT.cpp

@@ -2883,18 +2883,19 @@ inline bool DefaultViewPort::isSameSize(IplImage* img1, IplImage* img2)
 void DefaultViewPort::controlImagePosition()
 {
     qreal left, top, right, bottom;
+    qreal factor = 1.0 / param_matrixWorld.m11();
 
     //after check top-left, bottom right corner to avoid getting "out" during zoom/panning
     param_matrixWorld.map(0,0,&left,&top);
 
     if (left > 0)
     {
-        param_matrixWorld.translate(-left,0);
+        param_matrixWorld.translate(-left * factor, 0);
         left = 0;
     }
     if (top > 0)
     {
-        param_matrixWorld.translate(0,-top);
+        param_matrixWorld.translate(0, -top * factor);
         top = 0;
     }
     //-------
@@ -2903,12 +2904,12 @@ void DefaultViewPort::controlImagePosition()
     param_matrixWorld.map(sizeImage.width(),sizeImage.height(),&right,&bottom);
     if (right < sizeImage.width())
     {
-        param_matrixWorld.translate(sizeImage.width()-right,0);
+        param_matrixWorld.translate((sizeImage.width() - right) * factor, 0);
         right = sizeImage.width();
     }
     if (bottom < sizeImage.height())
     {
-        param_matrixWorld.translate(0,sizeImage.height()-bottom);
+        param_matrixWorld.translate(0, (sizeImage.height() - bottom) * factor);
         bottom = sizeImage.height();
     }
 

modules/videoio/src/container_avi.cpp

@@ -124,6 +124,7 @@ struct RiffList
     uint32_t m_size;
     uint32_t m_list_type_cc;
 };
+#pragma pack(pop)
 
 class VideoInputStream
 {
@@ -149,7 +150,6 @@ private:
     String  m_fname;
 };
 
-#pragma pack(pop)
 
 inline VideoInputStream& operator >> (VideoInputStream& is, AviMainHeader& avih)
 {

samples/dnn/colorization.cpp

@@ -50,7 +50,7 @@ int main(int argc, char **argv)
         "  https://github.com/richzhang/colorization\n"
         "Download caffemodel and prototxt files:\n"
         "  http://eecs.berkeley.edu/~rich.zhang/projects/2016_colorization/files/demo_v2/colorization_release_v2.caffemodel\n"
-        "  https://raw.githubusercontent.com/richzhang/colorization/master/colorization/models/colorization_deploy_v2.prototxt\n";
+        "  https://raw.githubusercontent.com/richzhang/colorization/caffe/models/colorization_deploy_v2.prototxt\n";
     const string keys =
         "{ h help |                                    | print this help message }"
         "{ proto  | colorization_deploy_v2.prototxt    | model configuration }"

samples/dnn/colorization.py

@@ -1,6 +1,6 @@
 # Script is based on https://github.com/richzhang/colorization/blob/master/colorization/colorize.py
-# To download the caffemodel and the prototxt, see: https://github.com/richzhang/colorization/tree/master/colorization/models
+# To download the caffemodel and the prototxt, see: https://github.com/richzhang/colorization/tree/caffe/colorization/models
-# To download pts_in_hull.npy, see: https://github.com/richzhang/colorization/blob/master/colorization/resources/pts_in_hull.npy
+# To download pts_in_hull.npy, see: https://github.com/richzhang/colorization/tree/caffe/colorization/resources/pts_in_hull.npy
 import numpy as np
 import argparse
 import cv2 as cv