potok/opencv
1
0
Fork 0
mirror of https://github.com/opencv/opencv.git synced 2026-07-31 08:13:04 +04:00
Code Packages Releases Wiki Activity

fix 4.x links

Browse Source
This commit is contained in:
Alexander Alekhin
2021-12-22 13:01:26 +00:00
parent be110d0464
commit c78a8dfd2d
134 changed files with 334 additions and 332 deletions
Download Patch File Download Diff File Expand all files Collapse all files
doc/tutorials/imgproc/erosion_dilatation/erosion_dilatation.markdown
+4 -4
View File
@@ -72,19 +72,19 @@ Code
@add_toggle_cpp
This tutorial's code is shown below. You can also download it
[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/ImgProc/Morphology_1.cpp)
[here](https://github.com/opencv/opencv/tree/4.x/samples/cpp/tutorial_code/ImgProc/Morphology_1.cpp)
@include samples/cpp/tutorial_code/ImgProc/Morphology_1.cpp
@end_toggle
@add_toggle_java
This tutorial's code is shown below. You can also download it
[here](https://github.com/opencv/opencv/tree/master/samples/java/tutorial_code/ImgProc/erosion_dilatation/MorphologyDemo1.java)
[here](https://github.com/opencv/opencv/tree/4.x/samples/java/tutorial_code/ImgProc/erosion_dilatation/MorphologyDemo1.java)
@include samples/java/tutorial_code/ImgProc/erosion_dilatation/MorphologyDemo1.java
@end_toggle
@add_toggle_python
This tutorial's code is shown below. You can also download it
[here](https://github.com/opencv/opencv/tree/master/samples/python/tutorial_code/imgProc/erosion_dilatation/morphology_1.py)
[here](https://github.com/opencv/opencv/tree/4.x/samples/python/tutorial_code/imgProc/erosion_dilatation/morphology_1.py)
@include samples/python/tutorial_code/imgProc/erosion_dilatation/morphology_1.py
@end_toggle
@@ -280,7 +280,7 @@ 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/4.x/samples/data/LinuxLogo.jpg)) will be used.
For instance, using this image: