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Merge pull request #7059 from berak:doc_python_drawkeypoints

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This commit is contained in:
Vadim Pisarevsky 2016-08-08 15:31:11 +00:00
commit c1d73e4fca
3 changed files with 6 additions and 6 deletions
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4
doc/py_tutorials/py_feature2d/py_fast/py_fast.markdown
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@ -105,7 +105,7 @@ fast = cv2.FastFeatureDetector_create()
# find and draw the keypoints
kp = fast.detect(img,None)
img2 = cv2.drawKeypoints(img, kp, color=(255,0,0))
img2 = cv2.drawKeypoints(img, kp, None, color=(255,0,0))
# Print all default params
print "Threshold: ", fast.getInt('threshold')
@ -121,7 +121,7 @@ kp = fast.detect(img,None)
print "Total Keypoints without nonmaxSuppression: ", len(kp)
img3 = cv2.drawKeypoints(img, kp, color=(255,0,0))
img3 = cv2.drawKeypoints(img, kp, None, color=(255,0,0))
cv2.imwrite('fast_false.png',img3)
@endcode

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

@ -79,7 +79,7 @@ kp = orb.detect(img,None)
kp, des = orb.compute(img, kp)
# draw only keypoints location,not size and orientation
img2 = cv2.drawKeypoints(img,kp,color=(0,255,0), flags=0)
img2 = cv2.drawKeypoints(img, kp, None, color=(0,255,0), flags=0)
plt.imshow(img2), plt.show()
@endcode
See the result below:

4
doc/py_tutorials/py_feature2d/py_sift_intro/py_sift_intro.markdown
View File

@ -122,7 +122,7 @@ gray= cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
sift = cv2.xfeatures2d.SIFT_create()
kp = sift.detect(gray,None)
img=cv2.drawKeypoints(gray,kp)
img=cv2.drawKeypoints(gray,kp,img)
cv2.imwrite('sift_keypoints.jpg',img)
@endcode
@ -135,7 +135,7 @@ OpenCV also provides **cv2.drawKeyPoints()** function which draws the small circ
of keypoints. If you pass a flag, **cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS** to it, it will
draw a circle with size of keypoint and it will even show its orientation. See below example.
@code{.py}
img=cv2.drawKeypoints(gray,kp,flags=cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)
img=cv2.drawKeypoints(gray,kp,img,flags=cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)
cv2.imwrite('sift_keypoints.jpg',img)
@endcode
See the two results below: