def test_most_similar_zhang():
xyz1 = np.array([[0,0,0],[1,0,0],[2,0,0],[3,0,0]],dtype='float32')
xyz2 = np.array([[0,1,1],[1,0,1],[2,3,-2]],dtype='float32')
xyz3 = np.array([[-1,0,0],[2,0,0],[2,3,0],[3,0,0]],dtype='float32')
tracks=[xyz1,xyz2,xyz3]
for metric in ('avg', 'min', 'max'):
si,s=tm.most_similar_track_zhang(tracks,metric=metric)
#pf should be much faster and the results equivalent
si2,s2=pf.most_similar_track_zhang(tracks,metric=metric)
yield assert_almost_equal, si,si2
def test_most_similar_zhang():
xyz1 = np.array([[0, 0, 0], [1, 0, 0], [2, 0, 0], [3, 0, 0]],
dtype='float32')
xyz2 = np.array([[0, 1, 1], [1, 0, 1], [2, 3, -2]], dtype='float32')
xyz3 = np.array([[-1, 0, 0], [2, 0, 0], [2, 3, 0], [3, 0, 0]],
dtype='float32')
tracks = [xyz1, xyz2, xyz3]
for metric in ('avg', 'min', 'max'):
si, s = tm.most_similar_track_zhang(tracks, metric=metric)
#pf should be much faster and the results equivalent
si2, s2 = pf.most_similar_track_zhang(tracks, metric=metric)
yield assert_almost_equal, si, si2
def most(C):
for c in C:
pass'pf.most_similar_track_zhang()
