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Use AKAZE detector instead of ORB in feature_homography test

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Vladislav Sovrasov 2016-03-09 11:37:25 +03:00
parent 22b028b64b
commit e2434ab7c3
1 changed files with 2 additions and 2 deletions
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4
modules/python/test/test_feature_homography.py
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@ -92,7 +92,7 @@ TrackedTarget = namedtuple('TrackedTarget', 'target, p0, p1, H, quad')
class PlaneTracker: class PlaneTracker:
def __init__(self): def __init__(self):
self.detector = cv2.ORB_create( nfeatures = 1000 ) self.detector = cv2.AKAZE_create(threshold = 0.003)
self.matcher = cv2.FlannBasedMatcher(flann_params, {}) # bug : need to pass empty dict (#1329) self.matcher = cv2.FlannBasedMatcher(flann_params, {}) # bug : need to pass empty dict (#1329)
self.targets = [] self.targets = []
self.frame_points = [] self.frame_points = []
@ -155,6 +155,6 @@ class PlaneTracker:
def detect_features(self, frame): def detect_features(self, frame):
'''detect_features(self, frame) -> keypoints, descrs''' '''detect_features(self, frame) -> keypoints, descrs'''
keypoints, descrs = self.detector.detectAndCompute(frame, None) keypoints, descrs = self.detector.detectAndCompute(frame, None)
if descrs is None: # detectAndCompute returns descs=None if not keypoints found if descrs is None: # detectAndCompute returns descs=None if no keypoints found
descrs = [] descrs = []
return keypoints, descrs return keypoints, descrs