generic-library/opencv
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

migration: github.com/opencv/opencv

Browse Source
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
Download Patch File Download Diff File Expand all files Collapse all files

2
doc/py_tutorials/py_feature2d/py_brief/py_brief.markdown
View File

@@ -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

2
doc/py_tutorials/py_feature2d/py_sift_intro/py_sift_intro.markdown
View File

@@ -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
--------------