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python: 'cv2.' -> 'cv.' via 'import cv2 as cv'

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Alexander Alekhin
2017-12-11 12:55:03 +03:00
parent 9665dde678
commit 5560db73bf
162 changed files with 2083 additions and 2084 deletions
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doc/py_tutorials/py_feature2d/py_fast/py_fast.markdown
+9 -9
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@@ -90,22 +90,22 @@ FAST Feature Detector in OpenCV
It is called as any other feature detector in OpenCV. If you want, you can specify the threshold,
whether non-maximum suppression to be applied or not, the neighborhood to be used etc.
For the neighborhood, three flags are defined, cv2.FAST_FEATURE_DETECTOR_TYPE_5_8,
cv2.FAST_FEATURE_DETECTOR_TYPE_7_12 and cv2.FAST_FEATURE_DETECTOR_TYPE_9_16. Below is a
For the neighborhood, three flags are defined, cv.FAST_FEATURE_DETECTOR_TYPE_5_8,
cv.FAST_FEATURE_DETECTOR_TYPE_7_12 and cv.FAST_FEATURE_DETECTOR_TYPE_9_16. Below is a
simple code on how to detect and draw the FAST feature points.
@code{.py}
import numpy as np
import cv2
import cv2 as cv
from matplotlib import pyplot as plt
img = cv2.imread('simple.jpg',0)
img = cv.imread('simple.jpg',0)
# Initiate FAST object with default values
fast = cv2.FastFeatureDetector_create()
fast = cv.FastFeatureDetector_create()
# find and draw the keypoints
kp = fast.detect(img,None)
img2 = cv2.drawKeypoints(img, kp, None, color=(255,0,0))
img2 = cv.drawKeypoints(img, kp, None, color=(255,0,0))
# Print all default params
print( "Threshold: {}".format(fast.getThreshold()) )
@@ -113,7 +113,7 @@ print( "nonmaxSuppression:{}".format(fast.getNonmaxSuppression()) )
print( "neighborhood: {}".format(fast.getType()) )
print( "Total Keypoints with nonmaxSuppression: {}".format(len(kp)) )
cv2.imwrite('fast_true.png',img2)
cv.imwrite('fast_true.png',img2)
# Disable nonmaxSuppression
fast.setNonmaxSuppression(0)
@@ -121,9 +121,9 @@ kp = fast.detect(img,None)
print( "Total Keypoints without nonmaxSuppression: {}".format(len(kp)) )
img3 = cv2.drawKeypoints(img, kp, None, color=(255,0,0))
img3 = cv.drawKeypoints(img, kp, None, color=(255,0,0))
cv2.imwrite('fast_false.png',img3)
cv.imwrite('fast_false.png',img3)
@endcode
See the results. First image shows FAST with nonmaxSuppression and second one without
nonmaxSuppression: