documentation: avoid links to 'master' branch from 3.4 maintenance branch

2018-05-31 16:45:18 +03:00
parent 49321a233c
commit 9ba9358ecb
61 changed files with 118 additions and 118 deletions
@@ -16,7 +16,7 @@ Source code
 -----------

 You can [download this from here
-](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/core/file_input_output/file_input_output.cpp) or find it in the
+](https://github.com/opencv/opencv/tree/3.4/samples/cpp/tutorial_code/core/file_input_output/file_input_output.cpp) or find it in the
 `samples/cpp/tutorial_code/core/file_input_output/file_input_output.cpp` of the OpenCV source code
 library.

@@ -51,7 +51,7 @@ three major ways of going through an image pixel by pixel. To make things a litt
 will make the scanning for each image using all of these methods, and print out how long it took.

 You can download the full source code [here
-](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/core/how_to_scan_images/how_to_scan_images.cpp) or look it up in
+](https://github.com/opencv/opencv/tree/3.4/samples/cpp/tutorial_code/core/how_to_scan_images/how_to_scan_images.cpp) or look it up in
 the samples directory of OpenCV at the cpp tutorial code for the core section. Its basic usage is:
@code{.bash}
 how_to_scan_images imageName.jpg intValueToReduce [G]
@@ -16,7 +16,7 @@ Code

 You may also find the source code in the
 `samples/cpp/tutorial_code/core/ippasync/ippasync_sample.cpp` file of the OpenCV source library or
-download it from [here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/core/ippasync/ippasync_sample.cpp).
+download it from [here](https://github.com/opencv/opencv/tree/3.4/samples/cpp/tutorial_code/core/ippasync/ippasync_sample.cpp).

@include cpp/tutorial_code/core/ippasync/ippasync_sample.cpp

@@ -85,7 +85,7 @@ L = Mat(pI);
 A case study
 ------------

-Now that you have the basics done [here's](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/core/interoperability_with_OpenCV_1/interoperability_with_OpenCV_1.cpp)
+Now that you have the basics done [here's](https://github.com/opencv/opencv/tree/3.4/samples/cpp/tutorial_code/core/interoperability_with_OpenCV_1/interoperability_with_OpenCV_1.cpp)
 an example that mixes the usage of the C interface with the C++ one. You will also find it in the
 sample directory of the OpenCV source code library at the
 `samples/cpp/tutorial_code/core/interoperability_with_OpenCV_1/interoperability_with_OpenCV_1.cpp` .
@@ -132,7 +132,7 @@ output:

 You may observe a runtime instance of this on the [YouTube
 here](https://www.youtube.com/watch?v=qckm-zvo31w) and you can [download the source code from here
-](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/core/interoperability_with_OpenCV_1/interoperability_with_OpenCV_1.cpp)
+](https://github.com/opencv/opencv/tree/3.4/samples/cpp/tutorial_code/core/interoperability_with_OpenCV_1/interoperability_with_OpenCV_1.cpp)
 or find it in the
 `samples/cpp/tutorial_code/core/interoperability_with_OpenCV_1/interoperability_with_OpenCV_1.cpp`
 of the OpenCV source code library.
@@ -260,7 +260,7 @@ OpenCV offers support for output of other common OpenCV data structures too via
    ![](images/MatBasicContainerOut15.png)

 Most of the samples here have been included in a small console application. You can download it from
-[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/core/mat_the_basic_image_container/mat_the_basic_image_container.cpp)
+[here](https://github.com/opencv/opencv/tree/3.4/samples/cpp/tutorial_code/core/mat_the_basic_image_container/mat_the_basic_image_container.cpp)
 or in the core section of the cpp samples.

 You can also find a quick video demonstration of this on