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features2d(sift): move SIFT tests / headers / build fixes

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This commit is contained in:
Alexander Alekhin
2020-04-21 06:58:21 +00:00
parent ed58b5489f
commit a327418767
17 changed files with 126 additions and 36 deletions
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doc/py_tutorials/py_feature2d/py_feature_homography/py_feature_homography.markdown
+1 -1
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@@ -44,7 +44,7 @@ img1 = cv.imread('box.png',0) # queryImage
img2 = cv.imread('box_in_scene.png',0) # trainImage
# Initiate SIFT detector
sift = cv.xfeatures2d.SIFT_create()
sift = cv.SIFT_create()
# find the keypoints and descriptors with SIFT
kp1, des1 = sift.detectAndCompute(img1,None)
doc/py_tutorials/py_feature2d/py_matcher/py_matcher.markdown
+2 -2
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@@ -110,7 +110,7 @@ img1 = cv.imread('box.png',cv.IMREAD_GRAYSCALE) # queryImage
img2 = cv.imread('box_in_scene.png',cv.IMREAD_GRAYSCALE) # trainImage
# Initiate SIFT detector
sift = cv.xfeatures2d.SIFT_create()
sift = cv.SIFT_create()
# find the keypoints and descriptors with SIFT
kp1, des1 = sift.detectAndCompute(img1,None)
@@ -174,7 +174,7 @@ img1 = cv.imread('box.png',cv.IMREAD_GRAYSCALE) # queryImage
img2 = cv.imread('box_in_scene.png',cv.IMREAD_GRAYSCALE) # trainImage
# Initiate SIFT detector
sift = cv.xfeatures2d.SIFT_create()
sift = cv.SIFT_create()
# find the keypoints and descriptors with SIFT
kp1, des1 = sift.detectAndCompute(img1,None)
doc/py_tutorials/py_feature2d/py_sift_intro/py_sift_intro.markdown
+2 -2
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@@ -119,7 +119,7 @@ import cv2 as cv
img = cv.imread('home.jpg')
gray= cv.cvtColor(img,cv.COLOR_BGR2GRAY)
sift = cv.xfeatures2d.SIFT_create()
sift = cv.SIFT_create()
kp = sift.detect(gray,None)
img=cv.drawKeypoints(gray,kp,img)
@@ -151,7 +151,7 @@ Now to calculate the descriptor, OpenCV provides two methods.
We will see the second method:
@code{.py}
sift = cv.xfeatures2d.SIFT_create()
sift = cv.SIFT_create()
kp, des = sift.detectAndCompute(gray,None)
@endcode
Here kp will be a list of keypoints and des is a numpy array of shape