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submodule
opencv
Commits
d2a1994d
Commit
d2a1994d
authored
Aug 07, 2016
by
berak
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python docs: fix missing output image in cv2.drawKeypoint examples
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52444bf8
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6 deletions
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py_fast.markdown
doc/py_tutorials/py_feature2d/py_fast/py_fast.markdown
+2
-2
py_orb.markdown
doc/py_tutorials/py_feature2d/py_orb/py_orb.markdown
+2
-2
py_sift_intro.markdown
...torials/py_feature2d/py_sift_intro/py_sift_intro.markdown
+2
-2
No files found.
doc/py_tutorials/py_feature2d/py_fast/py_fast.markdown
View file @
d2a1994d
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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')
...
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@@ -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
...
...
doc/py_tutorials/py_feature2d/py_orb/py_orb.markdown
View file @
d2a1994d
...
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@@ -79,8 +79,8 @@ 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)
plt.imshow(img2),plt.show()
img2 = cv2.drawKeypoints(img,
kp, None,
color=(0,255,0), flags=0)
plt.imshow(img2),
plt.show()
@endcode
See the result below:
...
...
doc/py_tutorials/py_feature2d/py_sift_intro/py_sift_intro.markdown
View file @
d2a1994d
...
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@@ -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
...
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@@ -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:
...
...
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