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Merge pull request #7368 from berak:py_tutorials_fix

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This commit is contained in:
Vadim Pisarevsky 2016-10-01 15:40:54 +00:00
commit a719a6f17c
2 changed files with 7 additions and 7 deletions
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6
doc/py_tutorials/py_feature2d/py_brief/py_brief.markdown
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@ -61,7 +61,7 @@ img = cv2.imread('simple.jpg',0)
star = cv2.xfeatures2d.StarDetector_create()
# Initiate BRIEF extractor
brief = cv2.BriefDescriptorExtractor_create()
brief = cv2.xfeatures2d.BriefDescriptorExtractor_create()
# find the keypoints with STAR
kp = star.detect(img,None)
@ -69,10 +69,10 @@ kp = star.detect(img,None)
# compute the descriptors with BRIEF
kp, des = brief.compute(img, kp)
print brief.getInt('bytes')
print brief.descriptorSize()
print des.shape
@endcode
The function brief.getInt('bytes') gives the \f$n_d\f$ size used in bytes. By default it is 32. Next one
The function brief.getDescriptorSize() gives the \f$n_d\f$ size used in bytes. By default it is 32. Next one
is matching, which will be done in another chapter.
Additional Resources

8
doc/py_tutorials/py_feature2d/py_fast/py_fast.markdown
View File

@ -108,15 +108,15 @@ kp = fast.detect(img,None)
img2 = cv2.drawKeypoints(img, kp, None, color=(255,0,0))
# Print all default params
print "Threshold: ", fast.getInt('threshold')
print "nonmaxSuppression: ", fast.getBool('nonmaxSuppression')
print "neighborhood: ", fast.getInt('type')
print "Threshold: ", fast.getThreshold()
print "nonmaxSuppression: ", fast.getNonmaxSuppression()
print "neighborhood: ", fast.getType()
print "Total Keypoints with nonmaxSuppression: ", len(kp)
cv2.imwrite('fast_true.png',img2)
# Disable nonmaxSuppression
fast.setBool('nonmaxSuppression',0)
fast.setNonmaxSuppression(0)
kp = fast.detect(img,None)
print "Total Keypoints without nonmaxSuppression: ", len(kp)