If you have a question rather than reporting a bug please go to http://answers.opencv.org where you get much faster responses.
If you have a question rather than reporting a bug please go to http://answers.opencv.org where you get much faster responses.
If you need further assistance please read [How To Contribute](https://github.com/Itseez/opencv/wiki/How_to_contribute).
If you need further assistance please read [How To Contribute](https://github.com/opencv/opencv/wiki/How_to_contribute).
This is a template helping you to create an issue which can be processed as quickly as possible. This is the bug reporting section for the OpenCV library.
This is a template helping you to create an issue which can be processed as quickly as possible. This is the bug reporting section for the OpenCV library.
All guidelines for contributing to the OpenCV repository can be found at [`How to contribute guideline`](https://github.com/Itseez/opencv/wiki/How_to_contribute).
All guidelines for contributing to the OpenCV repository can be found at [`How to contribute guideline`](https://github.com/opencv/opencv/wiki/How_to_contribute).
Now that you have the basics done [here's](https://github.com/Itseez/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/master/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
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
sample directory of the OpenCV source code library at the
You may also find the source code and these video file in the
You may also find the source code and these video file in the
`samples/cpp/tutorial_code/gpu/gpu-basics-similarity/gpu-basics-similarity` folder of the OpenCV
`samples/cpp/tutorial_code/gpu/gpu-basics-similarity/gpu-basics-similarity` folder of the OpenCV
source library or download it from [here](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/gpu/gpu-basics-similarity/gpu-basics-similarity.cpp).
source library or download it from [here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/gpu/gpu-basics-similarity/gpu-basics-similarity.cpp).
The full source code is quite long (due to the controlling of the application via the command line
The full source code is quite long (due to the controlling of the application via the command line
arguments and performance measurement). Therefore, to avoid cluttering up these sections with those
arguments and performance measurement). Therefore, to avoid cluttering up these sections with those
- Applies the *Hough Circle Transform* to the blurred image .
- Applies the *Hough Circle Transform* to the blurred image .
- Display the detected circle in a window.
- Display the detected circle in a window.
-# The sample code that we will explain can be downloaded from [here](https://github.com/Itseez/opencv/tree/master/samples/cpp/houghcircles.cpp).
-# The sample code that we will explain can be downloaded from [here](https://github.com/opencv/opencv/tree/master/samples/cpp/houghcircles.cpp).
A slightly fancier version (which shows trackbars for
A slightly fancier version (which shows trackbars for
changing the threshold values) can be found [here](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/ImgTrans/HoughCircle_Demo.cpp).
changing the threshold values) can be found [here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/ImgTrans/HoughCircle_Demo.cpp).
- Applies either a *Standard Hough Line Transform* or a *Probabilistic Line Transform*.
- Applies either a *Standard Hough Line Transform* or a *Probabilistic Line Transform*.
- Display the original image and the detected line in two windows.
- Display the original image and the detected line in two windows.
-# The sample code that we will explain can be downloaded from [here](https://github.com/Itseez/opencv/tree/master/samples/cpp/houghlines.cpp). A slightly fancier version
-# The sample code that we will explain can be downloaded from [here](https://github.com/opencv/opencv/tree/master/samples/cpp/houghlines.cpp). A slightly fancier version
(which shows both Hough standard and probabilistic with trackbars for changing the threshold
(which shows both Hough standard and probabilistic with trackbars for changing the threshold
values) can be found [here](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/ImgTrans/HoughLines_Demo.cpp).
values) can be found [here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/ImgTrans/HoughLines_Demo.cpp).
@ -48,7 +48,7 @@ A structuring element can have many common shapes, such as lines, diamonds, disk
Code
Code
----
----
This tutorial code's is shown lines below. You can also download it from [here](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/ImgProc/Morphology_3.cpp).
This tutorial code's is shown lines below. You can also download it from [here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/ImgProc/Morphology_3.cpp).
@ -12,7 +12,7 @@ OpenCV 3.0 introduced many new algorithms and features comparing to version 2.4.
This section describes most notable changes in general, all details and examples of transition actions are in the next part of the document.
This section describes most notable changes in general, all details and examples of transition actions are in the next part of the document.
##### Contrib repository
##### Contrib repository
<https://github.com/Itseez/opencv_contrib>
<https://github.com/opencv/opencv_contrib>
This is a place for all new, experimental and non-free algorithms. It does not receive so much attention from the support team comparing to main repository, but the community makes an effort to keep it in a good shape.
This is a place for all new, experimental and non-free algorithms. It does not receive so much attention from the support team comparing to main repository, but the community makes an effort to keep it in a good shape.
@note Another example using PCA for dimensionality reduction while maintaining an amount of variance can be found at [opencv_source_code/samples/cpp/pca.cpp](https://github.com/Itseez/opencv/tree/master/samples/cpp/pca.cpp)
@note Another example using PCA for dimensionality reduction while maintaining an amount of variance can be found at [opencv_source_code/samples/cpp/pca.cpp](https://github.com/opencv/tree/master/samples/cpp/pca.cpp)
@ -124,7 +124,7 @@ Running tests for Windows Store
===============================
===============================
1. You might need to install this if you haven't already: http://www.microsoft.com/en-US/download/details.aspx?id=40784
1. You might need to install this if you haven't already: http://www.microsoft.com/en-US/download/details.aspx?id=40784
2. Set OPENCV_TEST_DATA_PATH environment variable to location of opencv_extra/testdata (cloning of https://github.com/Itseez/opencv_extra repo required) to get tests work correctly. Also, set OPENCV_PERF_VALIDATION_DIR environment variable in case you are planning to have place where to store performance test results and compare them with the future test runs.
2. Set OPENCV_TEST_DATA_PATH environment variable to location of opencv_extra/testdata (cloning of https://github.com/opencv/opencv_extra repo required) to get tests work correctly. Also, set OPENCV_PERF_VALIDATION_DIR environment variable in case you are planning to have place where to store performance test results and compare them with the future test runs.
3. In case you'd like to adjust some flags that are defaulted by setup_winrt script, go to "Manual build" section. Otherwise go to platforms/winrt and execute
3. In case you'd like to adjust some flags that are defaulted by setup_winrt script, go to "Manual build" section. Otherwise go to platforms/winrt and execute
Alexander Alekhin
9 years ago