fix 3.4 links

doc/tutorials/calib3d/interactive_calibration/interactive_calibration.markdown

@@ -95,7 +95,7 @@ QR faster than SVD, but potentially less precise
 -  *camera_resolution*: resolution of camera which is used for calibration
 
 **Note:** *charuco_dict*, *charuco_square_length* and *charuco_marker_size* are used for chAruco pattern generation
-(see Aruco module description for details: [Aruco tutorials](https://github.com/opencv/opencv_contrib/tree/master/modules/aruco/tutorials))
+(see Aruco module description for details: [Aruco tutorials](https://github.com/opencv/opencv_contrib/tree/3.4/modules/aruco/tutorials))
 
 Default chAruco pattern:
 

doc/tutorials/dnn/dnn_googlenet/dnn_googlenet.markdown

@@ -23,7 +23,7 @@ Explanation
 -----------
 
 -# Firstly, download GoogLeNet model files:
-   [bvlc_googlenet.prototxt  ](https://github.com/opencv/opencv_extra/blob/master/testdata/dnn/bvlc_googlenet.prototxt) and
+   [bvlc_googlenet.prototxt](https://github.com/opencv/opencv_extra/blob/3.4/testdata/dnn/bvlc_googlenet.prototxt) and
    [bvlc_googlenet.caffemodel](http://dl.caffe.berkeleyvision.org/bvlc_googlenet.caffemodel)
 
    Also you need file with names of [ILSVRC2012](http://image-net.org/challenges/LSVRC/2012/browse-synsets) classes:

doc/tutorials/dnn/dnn_halide_scheduling/dnn_halide_scheduling.markdown

@@ -38,7 +38,7 @@ correspondingly. In example, for variable `x` in range `[0, 10)` directive
 `split: { x: 2 }` gives new ones `xo` in range `[0, 5)` and `xi` in range `[0, 2)`.
 Variable name `x` is no longer available in the same scheduling node.
 
-You can find scheduling examples at [opencv_extra/testdata/dnn](https://github.com/opencv/opencv_extra/tree/master/testdata/dnn)
+You can find scheduling examples at [opencv_extra/testdata/dnn](https://github.com/opencv/opencv_extra/tree/3.4/testdata/dnn)
 and use it for schedule your networks.
 
 ## Layers fusing

doc/tutorials/imgproc/erosion_dilatation/erosion_dilatation.markdown

@@ -273,7 +273,7 @@ Results
 
 Compile the code above and execute it (or run the script if using python) with an image as argument.
 If you do not provide an image as argument the default sample image
-([LinuxLogo.jpg](https://github.com/opencv/opencv/tree/master/samples/data/LinuxLogo.jpg)) will be used.
+([LinuxLogo.jpg](https://github.com/opencv/opencv/tree/3.4/samples/data/LinuxLogo.jpg)) will be used.
 
 For instance, using this image:
 

doc/tutorials/imgproc/random_generator_and_text/random_generator_and_text.markdown

@@ -23,7 +23,7 @@ Code
     to populate our image with a big number of geometric figures. Since we will be initializing them
     in a random fashion, this process will be automatic and made by using *loops* .
 -   This code is in your OpenCV sample folder. Otherwise you can grab it from
-    [here](http://code.opencv.org/projects/opencv/repository/revisions/master/raw/samples/cpp/tutorial_code/core/Matrix/Drawing_2.cpp)
+    [here](https://github.com/opencv/opencv/blob/3.4/samples/cpp/tutorial_code/ImgProc/basic_drawing/Drawing_2.cpp)
 
 Explanation
 -----------