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migration: github.com/opencv/opencv

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This commit is contained in:
Alexander Alekhin
2016-06-14 16:01:36 +03:00
parent 6c6badb6a6
commit ddc0b42bc3
94 changed files with 120 additions and 120 deletions
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2
doc/py_tutorials/py_feature2d/py_brief/py_brief.markdown
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@@ -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

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doc/py_tutorials/py_feature2d/py_sift_intro/py_sift_intro.markdown
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@@ -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
--------------

2
doc/py_tutorials/py_setup/py_intro/py_intro.markdown
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@@ -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 :-)

2
doc/py_tutorials/py_setup/py_setup_in_fedora/py_setup_in_fedora.markdown
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@@ -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.

2
doc/py_tutorials/py_setup/py_setup_in_windows/py_setup_in_windows.markdown
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@@ -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):