зеркало из https://github.com/microsoft/opencv.git
migration: github.com/opencv/opencv
This commit is contained in:
Alexander Alekhin
Родитель
6c6badb6a6
Коммит
ddc0b42bc3
|
|
@ -1,6 +1,6 @@
|
|||
<!--
|
||||
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.
|
||||
-->
|
||||
|
|
|
|||
|
|
@ -5,7 +5,7 @@ set(FFMPEG_FILE_HASH_BIN32 "89c783eee1c47bfc733f08334ec2e31c")
|
|||
set(FFMPEG_FILE_HASH_BIN64 "35fe6ccdda6d7a04e9056b0d73b98e76")
|
||||
set(FFMPEG_FILE_HASH_CMAKE "8606f947a780071f8fcce8cbf39ceef5")
|
||||
|
||||
set(FFMPEG_DOWNLOAD_URL ${OPENCV_FFMPEG_URL};$ENV{OPENCV_FFMPEG_URL};https://raw.githubusercontent.com/Itseez/opencv_3rdparty/${FFMPEG_BINARIES_COMMIT}/ffmpeg/)
|
||||
set(FFMPEG_DOWNLOAD_URL ${OPENCV_FFMPEG_URL};$ENV{OPENCV_FFMPEG_URL};https://raw.githubusercontent.com/opencv/opencv_3rdparty/${FFMPEG_BINARIES_COMMIT}/ffmpeg/)
|
||||
|
||||
ocv_download(PACKAGE opencv_ffmpeg.dll
|
||||
HASH ${FFMPEG_FILE_HASH_BIN32}
|
||||
|
|
|
|||
|
|
@ -64,7 +64,7 @@ function(_icv_downloader)
|
|||
if(DEFINED ENV{OPENCV_ICV_URL})
|
||||
set(OPENCV_ICV_URL $ENV{OPENCV_ICV_URL})
|
||||
else()
|
||||
set(OPENCV_ICV_URL "https://raw.githubusercontent.com/Itseez/opencv_3rdparty/${IPPICV_BINARIES_COMMIT}/ippicv")
|
||||
set(OPENCV_ICV_URL "https://raw.githubusercontent.com/opencv/opencv_3rdparty/${IPPICV_BINARIES_COMMIT}/ippicv")
|
||||
endif()
|
||||
endif()
|
||||
|
||||
|
|
|
|||
|
|
@ -1,3 +1,3 @@
|
|||
## Contributing guidelines
|
||||
|
||||
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).
|
||||
|
|
|
|||
|
|
@ -5,11 +5,11 @@
|
|||
* Homepage: <http://opencv.org>
|
||||
* Docs: <http://docs.opencv.org/master/>
|
||||
* Q&A forum: <http://answers.opencv.org>
|
||||
* Issue tracking: <https://github.com/Itseez/opencv/issues>
|
||||
* Issue tracking: <https://github.com/opencv/opencv/issues>
|
||||
|
||||
#### Contributing
|
||||
|
||||
Please read before starting work on a pull request: <https://github.com/Itseez/opencv/wiki/How_to_contribute>
|
||||
Please read before starting work on a pull request: <https://github.com/opencv/opencv/wiki/How_to_contribute>
|
||||
|
||||
Summary of guidelines:
|
||||
|
||||
|
|
|
|||
|
|
@ -150,7 +150,7 @@ BINARY_TOC = NO
|
|||
TOC_EXPAND = NO
|
||||
GENERATE_QHP = @CMAKE_DOXYGEN_GENERATE_QHP@
|
||||
QCH_FILE = ../opencv-@OPENCV_VERSION@.qch
|
||||
QHP_NAMESPACE = org.itseez.opencv.@OPENCV_VERSION@
|
||||
QHP_NAMESPACE = org.opencv.@OPENCV_VERSION@
|
||||
QHP_VIRTUAL_FOLDER = opencv
|
||||
QHP_CUST_FILTER_NAME =
|
||||
QHP_CUST_FILTER_ATTRS =
|
||||
|
|
|
|||
|
|
@ -49,7 +49,7 @@ BRIEF in OpenCV
|
|||
Below code shows the computation of BRIEF descriptors with the help of CenSurE detector. (CenSurE
|
||||
detector is called STAR detector in OpenCV)
|
||||
|
||||
note, that you need [opencv contrib](https://github.com/Itseez/opencv_contrib)) to use this.
|
||||
note, that you need [opencv contrib](https://github.com/opencv/opencv_contrib)) to use this.
|
||||
@code{.py}
|
||||
import numpy as np
|
||||
import cv2
|
||||
|
|
|
|||
|
|
@ -104,7 +104,7 @@ greater than 0.8, they are rejected. It eliminaters around 90% of false matches
|
|||
|
||||
So this is a summary of SIFT algorithm. For more details and understanding, reading the original
|
||||
paper is highly recommended. Remember one thing, this algorithm is patented. So this algorithm is
|
||||
included in [the opencv contrib repo](https://github.com/Itseez/opencv_contrib)
|
||||
included in [the opencv contrib repo](https://github.com/opencv/opencv_contrib)
|
||||
|
||||
SIFT in OpenCV
|
||||
--------------
|
||||
|
|
|
|||
|
|
@ -58,7 +58,7 @@ OpenCV Needs You !!!
|
|||
Since OpenCV is an open source initiative, all are welcome to make contributions to the library,
|
||||
documentation, and tutorials. If you find any mistake in this tutorial (from a small spelling
|
||||
mistake to an egregious error in code or concept), feel free to correct it by cloning OpenCV in
|
||||
[GitHub](https://github.com/Itseez/opencv) and submitting a pull request. OpenCV developers will
|
||||
[GitHub](https://github.com/opencv/opencv) and submitting a pull request. OpenCV developers will
|
||||
check your pull request, give you important feedback and (once it passes the approval of the
|
||||
reviewer) it will be merged into OpenCV. You will then become an open source contributor :-)
|
||||
|
||||
|
|
|
|||
|
|
@ -119,7 +119,7 @@ Or you can download latest source from OpenCV's github repo. (If you want to con
|
|||
choose this. It always keeps your OpenCV up-to-date). For that, you need to install **Git** first.
|
||||
@code{.sh}
|
||||
yum install git
|
||||
git clone https://github.com/Itseez/opencv.git
|
||||
git clone https://github.com/opencv/opencv.git
|
||||
@endcode
|
||||
It will create a folder OpenCV in home directory (or the directory you specify). The cloning may
|
||||
take some time depending upon your internet connection.
|
||||
|
|
|
|||
|
|
@ -76,7 +76,7 @@ Building OpenCV from source
|
|||
|
||||
-# Download OpenCV source. It can be from
|
||||
[Sourceforge](http://sourceforge.net/projects/opencvlibrary/) (for official release version) or
|
||||
from [Github](https://github.com/Itseez/opencv) (for latest source).
|
||||
from [Github](https://github.com/opencv/opencv) (for latest source).
|
||||
-# Extract it to a folder, opencv and create a new folder build in it.
|
||||
-# Open CMake-gui (*Start \> All Programs \> CMake-gui*)
|
||||
-# Fill the fields as follows (see the image below):
|
||||
|
|
|
|||
|
|
@ -77,13 +77,13 @@ Source code
|
|||
|
||||
You may also find the source code in the `samples/cpp/tutorial_code/calib3d/camera_calibration/`
|
||||
folder of the OpenCV source library or [download it from here
|
||||
](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/calib3d/camera_calibration/camera_calibration.cpp). The program has a
|
||||
](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/calib3d/camera_calibration/camera_calibration.cpp). The program has a
|
||||
single argument: the name of its configuration file. If none is given then it will try to open the
|
||||
one named "default.xml". [Here's a sample configuration file
|
||||
](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/calib3d/camera_calibration/in_VID5.xml) in XML format. In the
|
||||
](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/calib3d/camera_calibration/in_VID5.xml) in XML format. In the
|
||||
configuration file you may choose to use camera as an input, a video file or an image list. If you
|
||||
opt for the last one, you will need to create a configuration file where you enumerate the images to
|
||||
use. Here's [an example of this ](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/calib3d/camera_calibration/VID5.xml).
|
||||
use. Here's [an example of this ](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/calib3d/camera_calibration/VID5.xml).
|
||||
The important part to remember is that the images need to be specified using the absolute path or
|
||||
the relative one from your application's working directory. You may find all this in the samples
|
||||
directory mentioned above.
|
||||
|
|
|
|||
|
|
@ -92,7 +92,7 @@ QR faster than SVD, but potentially less precise
|
|||
- *camera_resolution*: resolution of camera which is used for calibration
|
||||
|
||||
**Note:** *charuco_dict*, *charuco_square_lenght* and *charuco_marker_size* are used for chAruco pattern generation
|
||||
(see Aruco module description for details: [Aruco tutorials](https://github.com/Itseez/opencv_contrib/tree/master/modules/aruco/tutorials))
|
||||
(see Aruco module description for details: [Aruco tutorials](https://github.com/opencv/opencv_contrib/tree/master/modules/aruco/tutorials))
|
||||
|
||||
Default chAruco pattern:
|
||||
|
||||
|
|
|
|||
|
|
@ -47,7 +47,7 @@ Code
|
|||
----
|
||||
|
||||
- This code is in your OpenCV sample folder. Otherwise you can grab it from
|
||||
[here](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/core/Matrix/Drawing_1.cpp)
|
||||
[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/core/Matrix/Drawing_1.cpp)
|
||||
|
||||
Explanation
|
||||
-----------
|
||||
|
|
|
|||
|
|
@ -15,7 +15,7 @@ Source code
|
|||
-----------
|
||||
|
||||
You can [download this from here
|
||||
](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/core/discrete_fourier_transform/discrete_fourier_transform.cpp) or
|
||||
](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/core/discrete_fourier_transform/discrete_fourier_transform.cpp) or
|
||||
find it in the
|
||||
`samples/cpp/tutorial_code/core/discrete_fourier_transform/discrete_fourier_transform.cpp` of the
|
||||
OpenCV source code library.
|
||||
|
|
@ -140,7 +140,7 @@ An application idea would be to determine the geometrical orientation present in
|
|||
example, let us find out if a text is horizontal or not? Looking at some text you'll notice that the
|
||||
text lines sort of form also horizontal lines and the letters form sort of vertical lines. These two
|
||||
main components of a text snippet may be also seen in case of the Fourier transform. Let us use
|
||||
[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)
|
||||
[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)
|
||||
image about a text.
|
||||
|
||||
In case of the horizontal text:
|
||||
|
|
|
|||
|
|
@ -16,7 +16,7 @@ Source code
|
|||
-----------
|
||||
|
||||
You can [download this from here
|
||||
](https://github.com/Itseez/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/master/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/Itseez/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/master/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/Itseez/opencv/tree/master/samples/cpp/tutorial_code/core/ippasync/ippasync_sample.cpp).
|
||||
download it from [here](https://github.com/opencv/opencv/tree/master/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/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
|
||||
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/Itseez/opencv/tree/master/samples/cpp/tutorial_code/core/interoperability_with_OpenCV_1/interoperability_with_OpenCV_1.cpp)
|
||||
](https://github.com/opencv/opencv/tree/master/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.
|
||||
|
|
|
|||
|
|
@ -133,7 +133,7 @@ For example:
|
|||
|
||||
|
||||
You can download this source code from [here
|
||||
](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/core/mat_mask_operations/mat_mask_operations.cpp) or look in the
|
||||
](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/core/mat_mask_operations/mat_mask_operations.cpp) or look in the
|
||||
OpenCV source code libraries sample directory at
|
||||
`samples/cpp/tutorial_code/core/mat_mask_operations/mat_mask_operations.cpp`.
|
||||
|
||||
|
|
|
|||
|
|
@ -258,7 +258,7 @@ OpenCV offers support for output of other common OpenCV data structures too via
|
|||
|
||||
|
||||
Most of the samples here have been included in a small console application. You can download it from
|
||||
[here](https://github.com/Itseez/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/master/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
|
||||
|
|
|
|||
|
|
@ -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/TrackingMotion/cornerSubPix_Demo.cpp)
|
||||
[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/TrackingMotion/cornerSubPix_Demo.cpp)
|
||||
@code{.cpp}
|
||||
#include "opencv2/highgui.hpp"
|
||||
#include "opencv2/imgproc.hpp"
|
||||
|
|
|
|||
|
|
@ -20,7 +20,7 @@ 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/TrackingMotion/cornerDetector_Demo.cpp)
|
||||
[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/TrackingMotion/cornerDetector_Demo.cpp)
|
||||
|
||||
@include cpp/tutorial_code/TrackingMotion/cornerDetector_Demo.cpp
|
||||
|
||||
|
|
|
|||
|
|
@ -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/TrackingMotion/goodFeaturesToTrack_Demo.cpp)
|
||||
[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/TrackingMotion/goodFeaturesToTrack_Demo.cpp)
|
||||
@code{.cpp}
|
||||
#include "opencv2/highgui.hpp"
|
||||
#include "opencv2/imgproc.hpp"
|
||||
|
|
|
|||
|
|
@ -119,7 +119,7 @@ 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/TrackingMotion/cornerHarris_Demo.cpp)
|
||||
[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/TrackingMotion/cornerHarris_Demo.cpp)
|
||||
@code{.cpp}
|
||||
#include "opencv2/highgui.hpp"
|
||||
#include "opencv2/imgproc.hpp"
|
||||
|
|
|
|||
|
|
@ -24,7 +24,7 @@ The source code
|
|||
|
||||
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
|
||||
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
|
||||
arguments and performance measurement). Therefore, to avoid cluttering up these sections with those
|
||||
you'll find here only the functions itself.
|
||||
|
|
|
|||
|
|
@ -60,7 +60,7 @@ 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_1.cpp)
|
||||
[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/ImgProc/Morphology_1.cpp)
|
||||
@include samples/cpp/tutorial_code/ImgProc/Morphology_1.cpp
|
||||
|
||||
Explanation
|
||||
|
|
|
|||
|
|
@ -94,7 +94,7 @@ Code
|
|||
- Applies 4 different kinds of filters (explained in Theory) and show the filtered images
|
||||
sequentially
|
||||
- **Downloadable code**: Click
|
||||
[here](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/ImgProc/Smoothing.cpp)
|
||||
[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/ImgProc/Smoothing.cpp)
|
||||
- **Code at glance:**
|
||||
@code{.cpp}
|
||||
#include "opencv2/imgproc.hpp"
|
||||
|
|
|
|||
|
|
@ -70,13 +70,13 @@ Code
|
|||
- **Downloadable code**:
|
||||
|
||||
-# Click
|
||||
[here](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/Histograms_Matching/calcBackProject_Demo1.cpp)
|
||||
[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/Histograms_Matching/calcBackProject_Demo1.cpp)
|
||||
for the basic version (explained in this tutorial).
|
||||
-# For stuff slightly fancier (using H-S histograms and floodFill to define a mask for the
|
||||
skin area) you can check the [improved
|
||||
demo](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/Histograms_Matching/calcBackProject_Demo2.cpp)
|
||||
demo](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/Histograms_Matching/calcBackProject_Demo2.cpp)
|
||||
-# ...or you can always check out the classical
|
||||
[camshiftdemo](https://github.com/Itseez/opencv/tree/master/samples/cpp/camshiftdemo.cpp)
|
||||
[camshiftdemo](https://github.com/opencv/opencv/tree/master/samples/cpp/camshiftdemo.cpp)
|
||||
in samples.
|
||||
|
||||
- **Code at glance:**
|
||||
|
|
|
|||
|
|
@ -66,7 +66,7 @@ Code
|
|||
- Calculate the Histogram of each 1-channel plane by calling the function @ref cv::calcHist
|
||||
- Plot the three histograms in a window
|
||||
- **Downloadable code**: Click
|
||||
[here](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/Histograms_Matching/calcHist_Demo.cpp)
|
||||
[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/Histograms_Matching/calcHist_Demo.cpp)
|
||||
- **Code at glance:**
|
||||
@include samples/cpp/tutorial_code/Histograms_Matching/calcHist_Demo.cpp
|
||||
|
||||
|
|
|
|||
|
|
@ -44,7 +44,7 @@ Code
|
|||
histogram of the lower half base image and with the same base image histogram.
|
||||
- Display the numerical matching parameters obtained.
|
||||
- **Downloadable code**: Click
|
||||
[here](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/Histograms_Matching/compareHist_Demo.cpp)
|
||||
[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/Histograms_Matching/compareHist_Demo.cpp)
|
||||
- **Code at glance:**
|
||||
|
||||
@include cpp/tutorial_code/Histograms_Matching/compareHist_Demo.cpp
|
||||
|
|
|
|||
|
|
@ -62,7 +62,7 @@ Code
|
|||
- Equalize the Histogram by using the OpenCV function @ref cv::equalizeHist
|
||||
- Display the source and equalized images in a window.
|
||||
- **Downloadable code**: Click
|
||||
[here](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/Histograms_Matching/EqualizeHist_Demo.cpp)
|
||||
[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/Histograms_Matching/EqualizeHist_Demo.cpp)
|
||||
- **Code at glance:**
|
||||
@include samples/cpp/tutorial_code/Histograms_Matching/EqualizeHist_Demo.cpp
|
||||
|
||||
|
|
|
|||
|
|
@ -96,7 +96,7 @@ Code
|
|||
- Localize the location with higher matching probability
|
||||
- Draw a rectangle around the area corresponding to the highest match
|
||||
- **Downloadable code**: Click
|
||||
[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)
|
||||
- **Code at glance:**
|
||||
@include samples/cpp/tutorial_code/Histograms_Matching/MatchTemplate_Demo.cpp
|
||||
|
||||
|
|
|
|||
|
|
@ -74,7 +74,7 @@ Code
|
|||
- Applies the mask obtained on the original image and display it 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/CannyDetector_Demo.cpp)
|
||||
[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/ImgTrans/CannyDetector_Demo.cpp)
|
||||
@include samples/cpp/tutorial_code/ImgTrans/CannyDetector_Demo.cpp
|
||||
|
||||
Explanation
|
||||
|
|
|
|||
|
|
@ -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"
|
||||
#include "opencv2/highgui.hpp"
|
||||
|
|
|
|||
|
|
@ -39,9 +39,9 @@ Code
|
|||
- 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
|
||||
|
|
|
|||
|
|
@ -82,4 +82,4 @@ Block Matching algorithm has been successfully parallelized using the following
|
|||
3. Merge the results into a single disparity map.
|
||||
|
||||
With this algorithm, a dual GPU gave a 180% performance increase comparing to the single Fermi GPU.
|
||||
For a source code example, see <https://github.com/Itseez/opencv/tree/master/samples/gpu/>.
|
||||
For a source code example, see <https://github.com/opencv/opencv/tree/master/samples/gpu/>.
|
||||
|
|
|
|||
|
|
@ -425,7 +425,7 @@ CV_EXPORTS_W double getWindowProperty(const String& winname, int prop_id);
|
|||
|
||||
@param winname Name of the window.
|
||||
@param onMouse Mouse callback. See OpenCV samples, such as
|
||||
<https://github.com/Itseez/opencv/tree/master/samples/cpp/ffilldemo.cpp>, on how to specify and
|
||||
<https://github.com/opencv/opencv/tree/master/samples/cpp/ffilldemo.cpp>, on how to specify and
|
||||
use the callback.
|
||||
@param userdata The optional parameter passed to the callback.
|
||||
*/
|
||||
|
|
|
|||
|
|
@ -91,7 +91,7 @@ compensate for the differences in the size of areas. The sums of pixel values ov
|
|||
regions are calculated rapidly using integral images (see below and the integral description).
|
||||
|
||||
To see the object detector at work, have a look at the facedetect demo:
|
||||
<https://github.com/Itseez/opencv/tree/master/samples/cpp/dbt_face_detection.cpp>
|
||||
<https://github.com/opencv/opencv/tree/master/samples/cpp/dbt_face_detection.cpp>
|
||||
|
||||
The following reference is for the detection part only. There is a separate application called
|
||||
opencv_traincascade that can train a cascade of boosted classifiers from a set of samples.
|
||||
|
|
|
|||
|
|
@ -58,7 +58,7 @@ def deskew(img):
|
|||
|
||||
class StatModel(object):
|
||||
def load(self, fn):
|
||||
self.model.load(fn) # Known bug: https://github.com/Itseez/opencv/issues/4969
|
||||
self.model.load(fn) # Known bug: https://github.com/opencv/opencv/issues/4969
|
||||
def save(self, fn):
|
||||
self.model.save(fn)
|
||||
|
||||
|
|
|
|||
|
|
@ -43,7 +43,7 @@ class gaussian_mix_test(NewOpenCVTests):
|
|||
em.setCovarianceMatrixType(cv2.ml.EM_COV_MAT_GENERIC)
|
||||
em.trainEM(points)
|
||||
means = em.getMeans()
|
||||
covs = em.getCovs() # Known bug: https://github.com/Itseez/opencv/pull/4232
|
||||
covs = em.getCovs() # Known bug: https://github.com/opencv/opencv/pull/4232
|
||||
found_distrs = zip(means, covs)
|
||||
|
||||
matches_count = 0
|
||||
|
|
|
|||
|
|
@ -21,7 +21,7 @@ class NewOpenCVTests(unittest.TestCase):
|
|||
repoPath = None
|
||||
extraTestDataPath = None
|
||||
# github repository url
|
||||
repoUrl = 'https://raw.github.com/Itseez/opencv/master'
|
||||
repoUrl = 'https://raw.github.com/opencv/opencv/master'
|
||||
|
||||
def get_sample(self, filename, iscolor = cv2.IMREAD_COLOR):
|
||||
if not filename in self.image_cache:
|
||||
|
|
|
|||
|
|
@ -614,7 +614,7 @@ public:
|
|||
Also, when a connected camera is multi-head (for example, a stereo camera or a Kinect device), the
|
||||
correct way of retrieving data from it is to call VideoCapture::grab first and then call
|
||||
VideoCapture::retrieve one or more times with different values of the channel parameter. See
|
||||
<https://github.com/Itseez/opencv/tree/master/samples/cpp/openni_capture.cpp>
|
||||
<https://github.com/opencv/opencv/tree/master/samples/cpp/openni_capture.cpp>
|
||||
*/
|
||||
CV_WRAP virtual bool grab();
|
||||
|
||||
|
|
|
|||
|
|
@ -16,7 +16,7 @@ For Release: OpenCV-Linux Beta4 opencv-0.9.6
|
|||
Tested On: LMLBT44 with 8 video inputs
|
||||
Problems? Post your questions at answers.opencv.org,
|
||||
Report bugs at code.opencv.org,
|
||||
Submit your fixes at https://github.com/Itseez/opencv/
|
||||
Submit your fixes at https://github.com/opencv/opencv/
|
||||
Patched Comments:
|
||||
|
||||
TW: The cv cam utils that came with the initial release of OpenCV for LINUX Beta4
|
||||
|
|
|
|||
|
|
@ -16,7 +16,7 @@ For Release: OpenCV-Linux Beta4 opencv-0.9.6
|
|||
Tested On: LMLBT44 with 8 video inputs
|
||||
Problems? Post your questions at answers.opencv.org,
|
||||
Report bugs at code.opencv.org,
|
||||
Submit your fixes at https://github.com/Itseez/opencv/
|
||||
Submit your fixes at https://github.com/opencv/opencv/
|
||||
Patched Comments:
|
||||
|
||||
TW: The cv cam utils that came with the initial release of OpenCV for LINUX Beta4
|
||||
|
|
|
|||
|
|
@ -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
|
||||
|
||||
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
|
||||
|
||||
|
|
|
|||
|
|
@ -2,7 +2,7 @@
|
|||
// http://docs.opencv.org/doc/tutorials/calib3d/camera_calibration/camera_calibration.html
|
||||
//
|
||||
// It uses standard OpenCV asymmetric circles grid pattern 11x4:
|
||||
// https://github.com/Itseez/opencv/blob/2.4/doc/acircles_pattern.png.
|
||||
// https://github.com/opencv/opencv/blob/2.4/doc/acircles_pattern.png.
|
||||
// The results are the camera matrix and 5 distortion coefficients.
|
||||
//
|
||||
// Tap on highlighted pattern to capture pattern corners for calibration.
|
||||
|
|
|
|||
|
|
@ -89,10 +89,10 @@ static void help()
|
|||
"\tThis will detect only the face in image.jpg.\n";
|
||||
|
||||
cout << " \n\nThe classifiers for face and eyes can be downloaded from : "
|
||||
" \nhttps://github.com/Itseez/opencv/tree/master/data/haarcascades";
|
||||
" \nhttps://github.com/opencv/opencv/tree/master/data/haarcascades";
|
||||
|
||||
cout << "\n\nThe classifiers for nose and mouth can be downloaded from : "
|
||||
" \nhttps://github.com/Itseez/opencv_contrib/tree/master/modules/face/data/cascades\n";
|
||||
" \nhttps://github.com/opencv/opencv_contrib/tree/master/modules/face/data/cascades\n";
|
||||
}
|
||||
|
||||
static void detectFaces(Mat& img, vector<Rect_<int> >& faces, string cascade_path)
|
||||
|
|
|
|||
|
|
@ -19,7 +19,7 @@
|
|||
Online docs: http://docs.opencv.org
|
||||
Q&A forum: http://answers.opencv.org
|
||||
Issue tracker: http://code.opencv.org
|
||||
GitHub: https://github.com/Itseez/opencv/
|
||||
GitHub: https://github.com/opencv/opencv/
|
||||
************************************************** */
|
||||
|
||||
#include "opencv2/calib3d.hpp"
|
||||
|
|
|
|||
|
|
@ -71,7 +71,7 @@ def deskew(img):
|
|||
|
||||
class StatModel(object):
|
||||
def load(self, fn):
|
||||
self.model.load(fn) # Known bug: https://github.com/Itseez/opencv/issues/4969
|
||||
self.model.load(fn) # Known bug: https://github.com/opencv/opencv/issues/4969
|
||||
def save(self, fn):
|
||||
self.model.save(fn)
|
||||
|
||||
|
|
|
|||
|
|
@ -32,7 +32,7 @@ def main():
|
|||
model = cv2.ml.SVM_load(classifier_fn)
|
||||
else:
|
||||
model = cv2.ml.SVM_create()
|
||||
model.load_(classifier_fn) #Known bug: https://github.com/Itseez/opencv/issues/4969
|
||||
model.load_(classifier_fn) #Known bug: https://github.com/opencv/opencv/issues/4969
|
||||
|
||||
while True:
|
||||
ret, frame = cap.read()
|
||||
|
|
|
|||
|
|
@ -3,7 +3,7 @@
|
|||
'''
|
||||
Feature-based image matching sample.
|
||||
|
||||
Note, that you will need the https://github.com/Itseez/opencv_contrib repo for SIFT and SURF
|
||||
Note, that you will need the https://github.com/opencv/opencv_contrib repo for SIFT and SURF
|
||||
|
||||
USAGE
|
||||
find_obj.py [--feature=<sift|surf|orb|akaze|brisk>[-flann]] [ <image1> <image2> ]
|
||||
|
|
|
|||
|
|
@ -50,7 +50,7 @@ if __name__ == '__main__':
|
|||
em.setCovarianceMatrixType(cv2.ml.EM_COV_MAT_GENERIC)
|
||||
em.trainEM(points)
|
||||
means = em.getMeans()
|
||||
covs = em.getCovs() # Known bug: https://github.com/Itseez/opencv/pull/4232
|
||||
covs = em.getCovs() # Known bug: https://github.com/opencv/opencv/pull/4232
|
||||
found_distrs = zip(means, covs)
|
||||
print('ready!\n')
|
||||
|
||||
|
|
|
|||
|
|
@ -27,7 +27,7 @@ font = cv2.FONT_HERSHEY_SIMPLEX
|
|||
color = (0, 255, 0)
|
||||
|
||||
cap = cv2.VideoCapture(0)
|
||||
cap.set(cv2.CAP_PROP_AUTOFOCUS, False) # Known bug: https://github.com/Itseez/opencv/pull/5474
|
||||
cap.set(cv2.CAP_PROP_AUTOFOCUS, False) # Known bug: https://github.com/opencv/opencv/pull/5474
|
||||
|
||||
cv2.namedWindow("Video")
|
||||
|
||||
|
|
|
|||
Загрузка…
Ссылка в новой задаче