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python tutorials: removed remainders of former Algorithm interface

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This commit is contained in:
berak 2016-09-30 09:57:44 +02:00
parent 473dba1189
commit c2513ffb5f
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() star = cv2.xfeatures2d.StarDetector_create()
# Initiate BRIEF extractor # Initiate BRIEF extractor
brief = cv2.BriefDescriptorExtractor_create() brief = cv2.xfeatures2d.BriefDescriptorExtractor_create()
# find the keypoints with STAR # find the keypoints with STAR
kp = star.detect(img,None) kp = star.detect(img,None)
@ -69,10 +69,10 @@ kp = star.detect(img,None)
# compute the descriptors with BRIEF # compute the descriptors with BRIEF
kp, des = brief.compute(img, kp) kp, des = brief.compute(img, kp)
print brief.getInt('bytes') print brief.descriptorSize()
print des.shape print des.shape
@endcode @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. is matching, which will be done in another chapter.
Additional Resources Additional Resources

8
doc/py_tutorials/py_feature2d/py_fast/py_fast.markdown
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@ -108,15 +108,15 @@ kp = fast.detect(img,None)
img2 = cv2.drawKeypoints(img, kp, None, color=(255,0,0)) img2 = cv2.drawKeypoints(img, kp, None, color=(255,0,0))
# Print all default params # Print all default params
print "Threshold: ", fast.getInt('threshold') print "Threshold: ", fast.getThreshold()
print "nonmaxSuppression: ", fast.getBool('nonmaxSuppression') print "nonmaxSuppression: ", fast.getNonmaxSuppression()
print "neighborhood: ", fast.getInt('type') print "neighborhood: ", fast.getType()
print "Total Keypoints with nonmaxSuppression: ", len(kp) print "Total Keypoints with nonmaxSuppression: ", len(kp)
cv2.imwrite('fast_true.png',img2) cv2.imwrite('fast_true.png',img2)
# Disable nonmaxSuppression # Disable nonmaxSuppression
fast.setBool('nonmaxSuppression',0) fast.setNonmaxSuppression(0)
kp = fast.detect(img,None) kp = fast.detect(img,None)
print "Total Keypoints without nonmaxSuppression: ", len(kp) print "Total Keypoints without nonmaxSuppression: ", len(kp)