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Doxygen tutorials: python final edits

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Maksim Shabunin
2014-12-01 15:46:05 +03:00
parent 875f922332
commit 812ce48c36
49 changed files with 426 additions and 353 deletions
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doc/py_tutorials/py_feature2d/py_sift_intro/py_sift_intro.markdown
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@@ -5,7 +5,7 @@ Goal
----
In this chapter,
- We will learn about the concepts of SIFT algorithm
- We will learn about the concepts of SIFT algorithm
- We will learn to find SIFT Keypoints and Descriptors.
Theory
@@ -155,7 +155,7 @@ sift = cv2.SIFT()
kp, des = sift.detectAndCompute(gray,None)
@endcode
Here kp will be a list of keypoints and des is a numpy array of shape
\f$Number_of_Keypoints \times 128\f$.
\f$Number\_of\_Keypoints \times 128\f$.
So we got keypoints, descriptors etc. Now we want to see how to match keypoints in different images.
That we will learn in coming chapters.