def b2p_list_PointTrack(java_list):
size = java_list.size()
py_list = []
for i in range(size):
java_track = JavaWrapper(java_list.get(i))
py_track = PointTrack()
py_track.pixel = (float(java_track.pixel.x), float(java_track.pixel.y))
py_track.feature_id = int(java_track.featureId)
py_track.spawn_frame_id = int(java_track.spawnFrameID)
py_track.last_seen_frame_id = int(java_track.lastSeenFrameID)
py_list.append(py_track)
return py_list
def associate(self):
"""
Associates the two sets of features together. Returns a list of association indexes
:return: List of (src index, dst index, match score)
:rtype: [(int,int,float)]
"""
output = []
self.java_obj.associate()
matches = self.java_obj.getMatches()
for i in range(matches.getSize()):
association = JavaWrapper(matches.get(i))
output.append(
(association.src, association.dst, association.fitScore))
return output
def __init__(self, java_object ):
JavaWrapper.__init__(self, java_object)
def __init__(self, java_object):
JavaWrapper.__init__(self, java_object)