migration: github.com/opencv/opencv
This commit is contained in:
Alexander Alekhin
@@ -77,13 +77,13 @@ Source code
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You may also find the source code in the `samples/cpp/tutorial_code/calib3d/camera_calibration/`
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folder of the OpenCV source library or [download it from here
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](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/calib3d/camera_calibration/camera_calibration.cpp). The program has a
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](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/calib3d/camera_calibration/camera_calibration.cpp). The program has a
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single argument: the name of its configuration file. If none is given then it will try to open the
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one named "default.xml". [Here's a sample configuration file
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](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/calib3d/camera_calibration/in_VID5.xml) in XML format. In the
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](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/calib3d/camera_calibration/in_VID5.xml) in XML format. In the
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configuration file you may choose to use camera as an input, a video file or an image list. If you
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opt for the last one, you will need to create a configuration file where you enumerate the images to
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use. Here's [an example of this ](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/calib3d/camera_calibration/VID5.xml).
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use. Here's [an example of this ](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/calib3d/camera_calibration/VID5.xml).
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The important part to remember is that the images need to be specified using the absolute path or
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the relative one from your application's working directory. You may find all this in the samples
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directory mentioned above.
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@@ -92,7 +92,7 @@ QR faster than SVD, but potentially less precise
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- *camera_resolution*: resolution of camera which is used for calibration
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**Note:** *charuco_dict*, *charuco_square_lenght* and *charuco_marker_size* are used for chAruco pattern generation
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(see Aruco module description for details: [Aruco tutorials](https://github.com/Itseez/opencv_contrib/tree/master/modules/aruco/tutorials))
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(see Aruco module description for details: [Aruco tutorials](https://github.com/opencv/opencv_contrib/tree/master/modules/aruco/tutorials))
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Default chAruco pattern:
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@@ -47,7 +47,7 @@ Code
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----
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- This code is in your OpenCV sample folder. Otherwise you can grab it from
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[here](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/core/Matrix/Drawing_1.cpp)
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[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/core/Matrix/Drawing_1.cpp)
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Explanation
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-----------
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@@ -15,7 +15,7 @@ Source code
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-----------
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You can [download this from here
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](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/core/discrete_fourier_transform/discrete_fourier_transform.cpp) or
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](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/core/discrete_fourier_transform/discrete_fourier_transform.cpp) or
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find it in the
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`samples/cpp/tutorial_code/core/discrete_fourier_transform/discrete_fourier_transform.cpp` of the
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OpenCV source code library.
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@@ -140,7 +140,7 @@ An application idea would be to determine the geometrical orientation present in
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example, let us find out if a text is horizontal or not? Looking at some text you'll notice that the
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text lines sort of form also horizontal lines and the letters form sort of vertical lines. These two
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main components of a text snippet may be also seen in case of the Fourier transform. Let us use
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[this horizontal ](https://github.com/Itseez/opencv/tree/master/samples/data/imageTextN.png) and [this rotated](https://github.com/Itseez/opencv/tree/master/samples/data/imageTextR.png)
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[this horizontal ](https://github.com/opencv/opencv/tree/master/samples/data/imageTextN.png) and [this rotated](https://github.com/opencv/opencv/tree/master/samples/data/imageTextR.png)
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image about a text.
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In case of the horizontal text:
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@@ -16,7 +16,7 @@ Source code
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-----------
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You can [download this from here
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](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/core/file_input_output/file_input_output.cpp) or find it in the
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](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/core/file_input_output/file_input_output.cpp) or find it in the
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`samples/cpp/tutorial_code/core/file_input_output/file_input_output.cpp` of the OpenCV source code
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library.
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@@ -51,7 +51,7 @@ three major ways of going through an image pixel by pixel. To make things a litt
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will make the scanning for each image using all of these methods, and print out how long it took.
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You can download the full source code [here
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](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/core/how_to_scan_images/how_to_scan_images.cpp) or look it up in
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](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
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the samples directory of OpenCV at the cpp tutorial code for the core section. Its basic usage is:
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@code{.bash}
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how_to_scan_images imageName.jpg intValueToReduce [G]
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@@ -16,7 +16,7 @@ Code
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You may also find the source code in the
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`samples/cpp/tutorial_code/core/ippasync/ippasync_sample.cpp` file of the OpenCV source library or
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download it from [here](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/core/ippasync/ippasync_sample.cpp).
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download it from [here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/core/ippasync/ippasync_sample.cpp).
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@include cpp/tutorial_code/core/ippasync/ippasync_sample.cpp
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@@ -85,7 +85,7 @@ L = Mat(pI);
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A case study
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------------
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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)
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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)
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an example that mixes the usage of the C interface with the C++ one. You will also find it in the
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sample directory of the OpenCV source code library at the
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`samples/cpp/tutorial_code/core/interoperability_with_OpenCV_1/interoperability_with_OpenCV_1.cpp` .
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@@ -132,7 +132,7 @@ output:
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You may observe a runtime instance of this on the [YouTube
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here](https://www.youtube.com/watch?v=qckm-zvo31w) and you can [download the source code from here
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](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/core/interoperability_with_OpenCV_1/interoperability_with_OpenCV_1.cpp)
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](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/core/interoperability_with_OpenCV_1/interoperability_with_OpenCV_1.cpp)
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or find it in the
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`samples/cpp/tutorial_code/core/interoperability_with_OpenCV_1/interoperability_with_OpenCV_1.cpp`
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of the OpenCV source code library.
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@@ -133,7 +133,7 @@ For example:
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You can download this source code from [here
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](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/core/mat_mask_operations/mat_mask_operations.cpp) or look in the
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](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/core/mat_mask_operations/mat_mask_operations.cpp) or look in the
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OpenCV source code libraries sample directory at
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`samples/cpp/tutorial_code/core/mat_mask_operations/mat_mask_operations.cpp`.
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@@ -258,7 +258,7 @@ OpenCV offers support for output of other common OpenCV data structures too via
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Most of the samples here have been included in a small console application. You can download it from
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[here](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/core/mat_the_basic_image_container/mat_the_basic_image_container.cpp)
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[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/core/mat_the_basic_image_container/mat_the_basic_image_container.cpp)
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or in the core section of the cpp samples.
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You can also find a quick video demonstration of this on
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@@ -16,7 +16,7 @@ Code
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----
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This tutorial code's is shown lines below. You can also download it from
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[here](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/TrackingMotion/cornerSubPix_Demo.cpp)
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[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/TrackingMotion/cornerSubPix_Demo.cpp)
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@code{.cpp}
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#include "opencv2/highgui.hpp"
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#include "opencv2/imgproc.hpp"
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@@ -20,7 +20,7 @@ Code
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----
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This tutorial code's is shown lines below. You can also download it from
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[here](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/TrackingMotion/cornerDetector_Demo.cpp)
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[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/TrackingMotion/cornerDetector_Demo.cpp)
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@include cpp/tutorial_code/TrackingMotion/cornerDetector_Demo.cpp
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@@ -15,7 +15,7 @@ Code
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----
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This tutorial code's is shown lines below. You can also download it from
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[here](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/TrackingMotion/goodFeaturesToTrack_Demo.cpp)
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[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/TrackingMotion/goodFeaturesToTrack_Demo.cpp)
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@code{.cpp}
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#include "opencv2/highgui.hpp"
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#include "opencv2/imgproc.hpp"
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@@ -119,7 +119,7 @@ Code
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----
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This tutorial code's is shown lines below. You can also download it from
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[here](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/TrackingMotion/cornerHarris_Demo.cpp)
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[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/TrackingMotion/cornerHarris_Demo.cpp)
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@code{.cpp}
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#include "opencv2/highgui.hpp"
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#include "opencv2/imgproc.hpp"
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@@ -24,7 +24,7 @@ The source code
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You may also find the source code and these video file in the
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`samples/cpp/tutorial_code/gpu/gpu-basics-similarity/gpu-basics-similarity` folder of the OpenCV
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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).
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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).
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The full source code is quite long (due to the controlling of the application via the command line
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arguments and performance measurement). Therefore, to avoid cluttering up these sections with those
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you'll find here only the functions itself.
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@@ -60,7 +60,7 @@ Code
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----
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This tutorial code's is shown lines below. You can also download it from
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[here](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/ImgProc/Morphology_1.cpp)
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[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/ImgProc/Morphology_1.cpp)
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@include samples/cpp/tutorial_code/ImgProc/Morphology_1.cpp
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Explanation
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@@ -94,7 +94,7 @@ Code
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- Applies 4 different kinds of filters (explained in Theory) and show the filtered images
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sequentially
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- **Downloadable code**: Click
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[here](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/ImgProc/Smoothing.cpp)
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[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/ImgProc/Smoothing.cpp)
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- **Code at glance:**
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@code{.cpp}
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#include "opencv2/imgproc.hpp"
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@@ -70,13 +70,13 @@ Code
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- **Downloadable code**:
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-# Click
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[here](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/Histograms_Matching/calcBackProject_Demo1.cpp)
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[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/Histograms_Matching/calcBackProject_Demo1.cpp)
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for the basic version (explained in this tutorial).
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-# For stuff slightly fancier (using H-S histograms and floodFill to define a mask for the
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skin area) you can check the [improved
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demo](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/Histograms_Matching/calcBackProject_Demo2.cpp)
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demo](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/Histograms_Matching/calcBackProject_Demo2.cpp)
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-# ...or you can always check out the classical
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[camshiftdemo](https://github.com/Itseez/opencv/tree/master/samples/cpp/camshiftdemo.cpp)
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[camshiftdemo](https://github.com/opencv/opencv/tree/master/samples/cpp/camshiftdemo.cpp)
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in samples.
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- **Code at glance:**
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@@ -66,7 +66,7 @@ Code
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- Calculate the Histogram of each 1-channel plane by calling the function @ref cv::calcHist
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- Plot the three histograms in a window
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- **Downloadable code**: Click
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[here](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/Histograms_Matching/calcHist_Demo.cpp)
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[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/Histograms_Matching/calcHist_Demo.cpp)
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- **Code at glance:**
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@include samples/cpp/tutorial_code/Histograms_Matching/calcHist_Demo.cpp
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@@ -44,7 +44,7 @@ Code
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histogram of the lower half base image and with the same base image histogram.
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- Display the numerical matching parameters obtained.
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- **Downloadable code**: Click
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[here](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/Histograms_Matching/compareHist_Demo.cpp)
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[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/Histograms_Matching/compareHist_Demo.cpp)
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- **Code at glance:**
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@include cpp/tutorial_code/Histograms_Matching/compareHist_Demo.cpp
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@@ -62,7 +62,7 @@ Code
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- Equalize the Histogram by using the OpenCV function @ref cv::equalizeHist
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- Display the source and equalized images in a window.
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- **Downloadable code**: Click
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[here](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/Histograms_Matching/EqualizeHist_Demo.cpp)
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[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/Histograms_Matching/EqualizeHist_Demo.cpp)
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- **Code at glance:**
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@include samples/cpp/tutorial_code/Histograms_Matching/EqualizeHist_Demo.cpp
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@@ -96,7 +96,7 @@ Code
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- Localize the location with higher matching probability
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- Draw a rectangle around the area corresponding to the highest match
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- **Downloadable code**: Click
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[here](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/Histograms_Matching/MatchTemplate_Demo.cpp)
|
||||
[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/Histograms_Matching/MatchTemplate_Demo.cpp)
|
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- **Code at glance:**
|
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@include samples/cpp/tutorial_code/Histograms_Matching/MatchTemplate_Demo.cpp
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@@ -74,7 +74,7 @@ Code
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- Applies the mask obtained on the original image and display it in a window.
|
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|
||||
-# The 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/ImgTrans/CannyDetector_Demo.cpp)
|
||||
[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/ImgTrans/CannyDetector_Demo.cpp)
|
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@include samples/cpp/tutorial_code/ImgTrans/CannyDetector_Demo.cpp
|
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Explanation
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@@ -46,7 +46,7 @@ Code
|
||||
- The program finishes when the user presses 'ESC'
|
||||
|
||||
-# The 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/ImgTrans/copyMakeBorder_demo.cpp)
|
||||
[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/ImgTrans/copyMakeBorder_demo.cpp)
|
||||
@include samples/cpp/tutorial_code/ImgTrans/copyMakeBorder_demo.cpp
|
||||
|
||||
Explanation
|
||||
|
||||
@@ -17,7 +17,7 @@ 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/ImgTrans/imageSegmentation.cpp).
|
||||
[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/ImgTrans/imageSegmentation.cpp).
|
||||
@include samples/cpp/tutorial_code/ImgTrans/imageSegmentation.cpp
|
||||
|
||||
Explanation / Result
|
||||
|
||||
@@ -62,7 +62,7 @@ Code
|
||||
- The filter output (with each kernel) will be shown during 500 milliseconds
|
||||
|
||||
-# The 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/ImgTrans/filter2D_demo.cpp)
|
||||
[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/ImgTrans/filter2D_demo.cpp)
|
||||
@code{.cpp}
|
||||
#include "opencv2/imgproc.hpp"
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#include "opencv2/highgui.hpp"
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||||
|
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@@ -39,9 +39,9 @@ Code
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- Applies the *Hough Circle Transform* to the blurred image .
|
||||
- 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
|
||||
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).
|
||||
@include samples/cpp/houghcircles.cpp
|
||||
|
||||
Explanation
|
||||
|
||||
@@ -95,9 +95,9 @@ Code
|
||||
- Applies either a *Standard Hough Line Transform* or a *Probabilistic Line Transform*.
|
||||
- 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
|
||||
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).
|
||||
@include samples/cpp/houghlines.cpp
|
||||
|
||||
Explanation
|
||||
|
||||
@@ -51,7 +51,7 @@ Code
|
||||
- Display the result in a window
|
||||
|
||||
-# The 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/ImgTrans/Laplace_Demo.cpp)
|
||||
[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/ImgTrans/Laplace_Demo.cpp)
|
||||
@include samples/cpp/tutorial_code/ImgTrans/Laplace_Demo.cpp
|
||||
|
||||
Explanation
|
||||
|
||||
@@ -52,7 +52,7 @@ Code
|
||||
- Wait for the user to exit the program
|
||||
|
||||
-# The 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/ImgTrans/Remap_Demo.cpp)
|
||||
[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/ImgTrans/Remap_Demo.cpp)
|
||||
@include samples/cpp/tutorial_code/ImgTrans/Remap_Demo.cpp
|
||||
|
||||
Explanation
|
||||
|
||||
@@ -108,7 +108,7 @@ Code
|
||||
bright on a darker background.
|
||||
|
||||
-# The 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/ImgTrans/Sobel_Demo.cpp)
|
||||
[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/ImgTrans/Sobel_Demo.cpp)
|
||||
@include samples/cpp/tutorial_code/ImgTrans/Sobel_Demo.cpp
|
||||
|
||||
Explanation
|
||||
|
||||
@@ -89,7 +89,7 @@ Code
|
||||
- Waits until the user exits the program
|
||||
|
||||
-# The 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/ImgTrans/Geometric_Transforms_Demo.cpp)
|
||||
[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/ImgTrans/Geometric_Transforms_Demo.cpp)
|
||||
@include samples/cpp/tutorial_code/ImgTrans/Geometric_Transforms_Demo.cpp
|
||||
|
||||
Explanation
|
||||
|
||||
@@ -48,7 +48,7 @@ A structuring element can have many common shapes, such as lines, diamonds, disk
|
||||
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).
|
||||
@include samples/cpp/tutorial_code/ImgProc/Morphology_3.cpp
|
||||
|
||||
Explanation / Result
|
||||
|
||||
@@ -80,7 +80,7 @@ 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_2.cpp)
|
||||
[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/ImgProc/Morphology_2.cpp)
|
||||
@code{.cpp}
|
||||
#include "opencv2/imgproc.hpp"
|
||||
#include "opencv2/highgui.hpp"
|
||||
|
||||
@@ -66,7 +66,7 @@ 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/Pyramids.cpp)
|
||||
[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/ImgProc/Pyramids.cpp)
|
||||
|
||||
@include samples/cpp/tutorial_code/ImgProc/Pyramids.cpp
|
||||
|
||||
|
||||
@@ -16,7 +16,7 @@ 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/ShapeDescriptors/generalContours_demo1.cpp)
|
||||
[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo1.cpp)
|
||||
@include samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo1.cpp
|
||||
|
||||
Explanation
|
||||
|
||||
@@ -16,7 +16,7 @@ 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/ShapeDescriptors/generalContours_demo2.cpp)
|
||||
[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo2.cpp)
|
||||
@include samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo2.cpp
|
||||
|
||||
Explanation
|
||||
|
||||
@@ -16,7 +16,7 @@ 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/ShapeDescriptors/findContours_demo.cpp)
|
||||
[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/ShapeDescriptors/findContours_demo.cpp)
|
||||
@include samples/cpp/tutorial_code/ShapeDescriptors/findContours_demo.cpp
|
||||
|
||||
Explanation
|
||||
|
||||
@@ -15,7 +15,7 @@ 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/ShapeDescriptors/hull_demo.cpp)
|
||||
[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/ShapeDescriptors/hull_demo.cpp)
|
||||
|
||||
@include samples/cpp/tutorial_code/ShapeDescriptors/hull_demo.cpp
|
||||
|
||||
|
||||
@@ -17,7 +17,7 @@ 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/ShapeDescriptors/moments_demo.cpp)
|
||||
[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/ShapeDescriptors/moments_demo.cpp)
|
||||
@include samples/cpp/tutorial_code/ShapeDescriptors/moments_demo.cpp
|
||||
|
||||
Explanation
|
||||
|
||||
@@ -15,7 +15,7 @@ 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/ShapeDescriptors/pointPolygonTest_demo.cpp)
|
||||
[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/ShapeDescriptors/pointPolygonTest_demo.cpp)
|
||||
@include samples/cpp/tutorial_code/ShapeDescriptors/pointPolygonTest_demo.cpp
|
||||
|
||||
Explanation
|
||||
|
||||
@@ -97,7 +97,7 @@ Code
|
||||
----
|
||||
|
||||
The 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/Threshold.cpp)
|
||||
[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/ImgProc/Threshold.cpp)
|
||||
@include samples/cpp/tutorial_code/ImgProc/Threshold.cpp
|
||||
|
||||
Explanation
|
||||
|
||||
@@ -19,7 +19,7 @@ Code
|
||||
----
|
||||
|
||||
The 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/Threshold_inRange.cpp)
|
||||
[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/ImgProc/Threshold_inRange.cpp)
|
||||
@include samples/cpp/tutorial_code/ImgProc/Threshold_inRange.cpp
|
||||
|
||||
Explanation
|
||||
|
||||
@@ -17,7 +17,7 @@ If you need help with anything of the above, you may refer to our @ref tutorial_
|
||||
This tutorial also assumes you have an Android operated device with OpenCL enabled.
|
||||
|
||||
The related source code is located within OpenCV samples at
|
||||
[opencv/samples/android/tutorial-4-opencl](https://github.com/Itseez/opencv/tree/master/samples/android/tutorial-4-opencl/) directory.
|
||||
[opencv/samples/android/tutorial-4-opencl](https://github.com/opencv/opencv/tree/master/samples/android/tutorial-4-opencl/) directory.
|
||||
|
||||
Preface
|
||||
-------
|
||||
@@ -244,7 +244,7 @@ As you can see, inheritors for `Camera` and `Camera2` APIs should implement the
|
||||
@endcode
|
||||
|
||||
Let's leave the details of their implementation beyond of this tutorial, please refer the
|
||||
[source code](https://github.com/Itseez/opencv/tree/master/samples/android/tutorial-4-opencl/) to see them.
|
||||
[source code](https://github.com/opencv/opencv/tree/master/samples/android/tutorial-4-opencl/) to see them.
|
||||
|
||||
Preview Frames modification
|
||||
---------------------------
|
||||
|
||||
@@ -40,7 +40,7 @@ I'm assuming you already installed [xcode](https://developer.apple.com/xcode/),
|
||||
@code{.bash}
|
||||
cd ~/
|
||||
mkdir opt
|
||||
git clone https://github.com/Itseez/opencv.git
|
||||
git clone https://github.com/opencv/opencv.git
|
||||
cd opencv
|
||||
git checkout 2.4
|
||||
mkdir build
|
||||
|
||||
@@ -33,7 +33,7 @@ Getting OpenCV Source Code
|
||||
--------------------------
|
||||
|
||||
You can use the latest stable OpenCV version available in *sourceforge* or you can grab the latest
|
||||
snapshot from our [Git repository](https://github.com/Itseez/opencv.git).
|
||||
snapshot from our [Git repository](https://github.com/opencv/opencv.git).
|
||||
|
||||
### Getting the Latest Stable OpenCV Version
|
||||
|
||||
@@ -42,12 +42,12 @@ snapshot from our [Git repository](https://github.com/Itseez/opencv.git).
|
||||
|
||||
### Getting the Cutting-edge OpenCV from the Git Repository
|
||||
|
||||
Launch Git client and clone [OpenCV repository](http://github.com/itseez/opencv)
|
||||
Launch Git client and clone [OpenCV repository](http://github.com/opencv/opencv)
|
||||
|
||||
In Linux it can be achieved with the following command in Terminal:
|
||||
@code{.bash}
|
||||
cd ~/<my_working _directory>
|
||||
git clone https://github.com/Itseez/opencv.git
|
||||
git clone https://github.com/opencv/opencv.git
|
||||
@endcode
|
||||
|
||||
Building OpenCV
|
||||
|
||||
@@ -36,7 +36,7 @@ from the [OpenCV SourceForge repository](http://sourceforge.net/projects/opencvl
|
||||
sources.
|
||||
|
||||
Another option to get OpenCV sources is to clone [OpenCV git
|
||||
repository](https://github.com/Itseez/opencv/). In order to build OpenCV with Java bindings you need
|
||||
repository](https://github.com/opencv/opencv/). In order to build OpenCV with Java bindings you need
|
||||
JDK (Java Development Kit) (we recommend [Oracle/Sun JDK 6 or
|
||||
7](http://www.oracle.com/technetwork/java/javase/downloads/)), [Apache Ant](http://ant.apache.org/)
|
||||
and Python v2.6 or higher to be installed.
|
||||
@@ -45,7 +45,7 @@ and Python v2.6 or higher to be installed.
|
||||
|
||||
Let's build OpenCV:
|
||||
@code{.bash}
|
||||
git clone git://github.com/Itseez/opencv.git
|
||||
git clone git://github.com/opencv/opencv.git
|
||||
cd opencv
|
||||
git checkout 2.4
|
||||
mkdir build
|
||||
|
||||
@@ -14,7 +14,7 @@ Source Code
|
||||
-----------
|
||||
|
||||
Download the source code from
|
||||
[here](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/introduction/display_image/display_image.cpp).
|
||||
[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/introduction/display_image/display_image.cpp).
|
||||
|
||||
@include cpp/tutorial_code/introduction/display_image/display_image.cpp
|
||||
|
||||
|
||||
@@ -9,13 +9,13 @@ Required Packages
|
||||
|
||||
### Getting the Cutting-edge OpenCV from Git Repository
|
||||
|
||||
Launch GIT client and clone OpenCV repository from [here](http://github.com/itseez/opencv)
|
||||
Launch GIT client and clone OpenCV repository from [here](http://github.com/opencv/opencv)
|
||||
|
||||
In MacOS it can be done using the following command in Terminal:
|
||||
|
||||
@code{.bash}
|
||||
cd ~/<my_working _directory>
|
||||
git clone https://github.com/Itseez/opencv.git
|
||||
git clone https://github.com/opencv/opencv.git
|
||||
@endcode
|
||||
|
||||
Building OpenCV from Source, using CMake and Command Line
|
||||
|
||||
@@ -28,7 +28,7 @@ Getting OpenCV Source Code
|
||||
--------------------------
|
||||
|
||||
You can use the latest stable OpenCV version or you can grab the latest snapshot from our [Git
|
||||
repository](https://github.com/Itseez/opencv.git).
|
||||
repository](https://github.com/opencv/opencv.git).
|
||||
|
||||
### Getting the Latest Stable OpenCV Version
|
||||
|
||||
@@ -37,14 +37,14 @@ repository](https://github.com/Itseez/opencv.git).
|
||||
|
||||
### Getting the Cutting-edge OpenCV from the Git Repository
|
||||
|
||||
Launch Git client and clone [OpenCV repository](http://github.com/itseez/opencv). If you need
|
||||
modules from [OpenCV contrib repository](http://github.com/itseez/opencv_contrib) then clone it too.
|
||||
Launch Git client and clone [OpenCV repository](http://github.com/opencv/opencv). If you need
|
||||
modules from [OpenCV contrib repository](http://github.com/opencv/opencv_contrib) then clone it too.
|
||||
|
||||
For example
|
||||
@code{.bash}
|
||||
cd ~/<my_working_directory>
|
||||
git clone https://github.com/Itseez/opencv.git
|
||||
git clone https://github.com/Itseez/opencv_contrib.git
|
||||
git clone https://github.com/opencv/opencv.git
|
||||
git clone https://github.com/opencv/opencv_contrib.git
|
||||
@endcode
|
||||
Building OpenCV from Source Using CMake
|
||||
---------------------------------------
|
||||
@@ -114,11 +114,11 @@ Building OpenCV from Source Using CMake
|
||||
-# [optional] Running tests
|
||||
|
||||
- Get the required test data from [OpenCV extra
|
||||
repository](https://github.com/Itseez/opencv_extra).
|
||||
repository](https://github.com/opencv/opencv_extra).
|
||||
|
||||
For example
|
||||
@code{.bash}
|
||||
git clone https://github.com/Itseez/opencv_extra.git
|
||||
git clone https://github.com/opencv/opencv_extra.git
|
||||
@endcode
|
||||
- set OPENCV_TEST_DATA_PATH environment variable to \<path to opencv_extra/testdata\>.
|
||||
- execute tests from build directory.
|
||||
|
||||
@@ -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.
|
||||
|
||||
##### 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.
|
||||
|
||||
|
||||
@@ -43,7 +43,7 @@ These videos above are long-obsolete and contain inaccurate information. Be care
|
||||
solutions described in those videos are no longer supported and may even break your install.
|
||||
|
||||
If you are building your own libraries you can take the source files from our [Git
|
||||
repository](https://github.com/Itseez/opencv.git).
|
||||
repository](https://github.com/opencv/opencv.git).
|
||||
|
||||
Building the OpenCV library from scratch requires a couple of tools installed beforehand:
|
||||
|
||||
@@ -114,7 +114,7 @@ libraries). If you do not need the support for some of these you can just freely
|
||||
you're doing -- it's OK.
|
||||
-# Clone the repository to the selected directory. After clicking *Clone* button, a window will
|
||||
appear where you can select from what repository you want to download source files
|
||||
(<https://github.com/Itseez/opencv.git>) and to what directory (`D:/OpenCV`).
|
||||
(<https://github.com/opencv/opencv.git>) and to what directory (`D:/OpenCV`).
|
||||
-# Push the OK button and be patient as the repository is quite a heavy download. It will take
|
||||
some time depending on your Internet connection.
|
||||
|
||||
|
||||
@@ -189,7 +189,7 @@ Test it!
|
||||
--------
|
||||
|
||||
Now to try this out download our little test [source code
|
||||
](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/introduction/windows_visual_studio_Opencv/introduction_windows_vs.cpp)
|
||||
](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/introduction/windows_visual_studio_Opencv/introduction_windows_vs.cpp)
|
||||
or get it from the sample code folder of the OpenCV sources. Add this to your project and build it.
|
||||
Here's its content:
|
||||
|
||||
@@ -205,7 +205,7 @@ the *IDE* the console window will not close once finished. It will wait for a ke
|
||||
This is important to remember when you code inside the code open and save commands. You're resources
|
||||
will be saved ( and queried for at opening!!!) relatively to your working directory. This is unless
|
||||
you give a full, explicit path as parameter for the I/O functions. In the code above we open [this
|
||||
OpenCV logo](https://github.com/Itseez/opencv/tree/master/samples/data/opencv-logo.png). Before starting up the application make sure you place
|
||||
OpenCV logo](https://github.com/opencv/opencv/tree/master/samples/data/opencv-logo.png). Before starting up the application make sure you place
|
||||
the image file in your current working directory. Modify the image file name inside the code to try
|
||||
it out on other images too. Run it and voil á:
|
||||
|
||||
|
||||
@@ -92,10 +92,10 @@ Source 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/ml/introduction_to_pca/introduction_to_pca.cpp).
|
||||
[here](https://github.com/opencv/tree/master/samples/cpp/tutorial_code/ml/introduction_to_pca/introduction_to_pca.cpp).
|
||||
@include cpp/tutorial_code/ml/introduction_to_pca/introduction_to_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/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)
|
||||
|
||||
Explanation
|
||||
-----------
|
||||
|
||||
@@ -87,7 +87,7 @@ Source Code
|
||||
-----------
|
||||
|
||||
You may also find the source code in `samples/cpp/tutorial_code/ml/non_linear_svms` folder of the OpenCV source library or
|
||||
[download it from here](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/ml/non_linear_svms/non_linear_svms.cpp).
|
||||
[download it from here](https://github.com/opencv/tree/master/samples/cpp/tutorial_code/ml/non_linear_svms/non_linear_svms.cpp).
|
||||
|
||||
@note The following code has been implemented with OpenCV 3.0 classes and functions. An equivalent version of the code
|
||||
using OpenCV 2.4 can be found in [this page.](http://docs.opencv.org/2.4/doc/tutorials/ml/non_linear_svms/non_linear_svms.html#nonlinearsvms)
|
||||
|
||||
@@ -18,9 +18,9 @@ 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/objectDetection/objectDetection.cpp)
|
||||
[here](https://github.com/opencv/tree/master/samples/cpp/tutorial_code/objectDetection/objectDetection.cpp)
|
||||
. The second version (using LBP for face detection) can be [found
|
||||
here](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/objectDetection/objectDetection2.cpp)
|
||||
here](https://github.com/opencv/tree/master/samples/cpp/tutorial_code/objectDetection/objectDetection2.cpp)
|
||||
@code{.cpp}
|
||||
#include "opencv2/objdetect.hpp"
|
||||
#include "opencv2/highgui.hpp"
|
||||
|
||||
@@ -45,7 +45,7 @@ Two different methods are used to generate two foreground masks:
|
||||
-# @ref cv::BackgroundSubtractorMOG2
|
||||
|
||||
The results as well as the input data are shown on the screen.
|
||||
The source file can be downloaded [here ](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/video/bg_sub.cpp).
|
||||
The source file can be downloaded [here ](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/video/bg_sub.cpp).
|
||||
|
||||
@include samples/cpp/tutorial_code/video/bg_sub.cpp
|
||||
|
||||
|
||||
@@ -78,5 +78,5 @@ there are two flags that should be used to set/get property of the needed genera
|
||||
flag value is assumed by default if neither of the two possible values of the property is set.
|
||||
|
||||
For more information please refer to the example of usage
|
||||
[intelperc_capture.cpp](https://github.com/Itseez/opencv/tree/master/samples/cpp/intelperc_capture.cpp)
|
||||
[intelperc_capture.cpp](https://github.com/opencv/tree/master/samples/cpp/intelperc_capture.cpp)
|
||||
in opencv/samples/cpp folder.
|
||||
|
||||
@@ -134,5 +134,5 @@ property. The following properties of cameras available through OpenNI interface
|
||||
- CAP_OPENNI_DEPTH_GENERATOR_REGISTRATION = CAP_OPENNI_DEPTH_GENERATOR + CAP_PROP_OPENNI_REGISTRATION
|
||||
|
||||
For more information please refer to the example of usage
|
||||
[openni_capture.cpp](https://github.com/Itseez/opencv/tree/master/samples/cpp/openni_capture.cpp) in
|
||||
[openni_capture.cpp](https://github.com/opencv/tree/master/samples/cpp/openni_capture.cpp) in
|
||||
opencv/samples/cpp folder.
|
||||
|
||||
@@ -20,8 +20,8 @@ As a test case where to show off these using OpenCV I've created a small program
|
||||
video files and performs a similarity check between them. This is something you could use to check
|
||||
just how well a new video compressing algorithms works. Let there be a reference (original) video
|
||||
like [this small Megamind clip
|
||||
](https://github.com/Itseez/opencv/tree/master/samples/data/Megamind.avi) and [a compressed
|
||||
version of it ](https://github.com/Itseez/opencv/tree/master/samples/data/Megamind_bugy.avi).
|
||||
](https://github.com/opencv/opencv/tree/master/samples/data/Megamind.avi) and [a compressed
|
||||
version of it ](https://github.com/opencv/opencv/tree/master/samples/data/Megamind_bugy.avi).
|
||||
You may also find the source code and these video file in the
|
||||
`samples/data` folder of the OpenCV source library.
|
||||
|
||||
|
||||
@@ -31,7 +31,7 @@ The source code
|
||||
|
||||
You may also find the source code and these video file in the
|
||||
`samples/cpp/tutorial_code/videoio/video-write/` folder of the OpenCV source library or [download it
|
||||
from here ](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/videoio/video-write/video-write.cpp).
|
||||
from here ](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/videoio/video-write/video-write.cpp).
|
||||
|
||||
@include cpp/tutorial_code/videoio/video-write/video-write.cpp
|
||||
|
||||
|
||||
@@ -12,7 +12,7 @@ In this tutorial you will learn how to
|
||||
Code
|
||||
----
|
||||
|
||||
You can download the code from [here ](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/viz/creating_widgets.cpp).
|
||||
You can download the code from [here ](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/viz/creating_widgets.cpp).
|
||||
@include samples/cpp/tutorial_code/viz/creating_widgets.cpp
|
||||
|
||||
Explanation
|
||||
|
||||
@@ -14,7 +14,7 @@ In this tutorial you will learn how to
|
||||
Code
|
||||
----
|
||||
|
||||
You can download the code from [here ](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/viz/launching_viz.cpp).
|
||||
You can download the code from [here ](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/viz/launching_viz.cpp).
|
||||
@include samples/cpp/tutorial_code/viz/launching_viz.cpp
|
||||
|
||||
Explanation
|
||||
|
||||
@@ -13,7 +13,7 @@ In this tutorial you will learn how to
|
||||
Code
|
||||
----
|
||||
|
||||
You can download the code from [here ](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/viz/transformations.cpp).
|
||||
You can download the code from [here ](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/viz/transformations.cpp).
|
||||
@include samples/cpp/tutorial_code/viz/transformations.cpp
|
||||
|
||||
Explanation
|
||||
|
||||
@@ -13,7 +13,7 @@ In this tutorial you will learn how to
|
||||
Code
|
||||
----
|
||||
|
||||
You can download the code from [here ](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/viz/widget_pose.cpp).
|
||||
You can download the code from [here ](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/viz/widget_pose.cpp).
|
||||
@include samples/cpp/tutorial_code/viz/widget_pose.cpp
|
||||
|
||||
Explanation
|
||||
|
||||
Reference in New Issue
Block a user