Getting an error from Example.ipynb

[mahaling]

Getting the following error while trying to run Example.ipynb... Any ideas?

`--------------------------------------------------------------------------- ValueError Traceback (most recent call last) in () 1 log = [] 2 match_fun = fastmatch.match(query_cache, target_img, options = {'log' : log}) ----> 3 print(match_fun(0.7)) 4 #matches = list(match_fun(0.7))

/home/gayathrim/libraries/Fast-Match/fastmatch.pyx in fastmatch.match.get_matches (fastmatch.c:2002)() 49 thumb_tau = thumb_strategy(tau) 50 positions_iter = itertools.chain(thumb_positions[thumb_ratios<thumb_tau]) ---> 51 matches = do_iter(positions_iter, query_cache, target_cache, tau = tau, thumb_tau = thumb_tau, radius = radius, log = log) 52 return matches 53 return get_matches

/home/gayathrim/libraries/Fast-Match/fastmatch.pyx in fastmatch.do_iter (fastmatch.c:3049)() 71 if not has_matched.get((col, row, query_col, query_row), False) : 72 has_matched[(col, row, query_col, query_row)] = True ---> 73 result_pos, ratios, query_idx = match_position((query_pos, target_pos), cache, target_grid, radius = radius) 74 # For each match we don't discard, we might want to examine the neighbor field 75 neighbors = get_neighbors(target_pos, result_pos[ratios<tau], target_grid)

/home/gayathrim/libraries/Fast-Match/fastmatch.pyx in fastmatch.match_position (fastmatch.c:5301)() 150 target_x, target_y = pos[1] 151 --> 152 query_ds, query_pos, query_dis, query_idx = query_cache.get(query_x, query_y, radius) 153 154 target_kp, target_ds = target.get(target_x, target_y)

/home/gayathrim/libraries/Fast-Match/cache.pyx in cache.Metric_Cache.get (cache.c:5159)() 180 cdef object pos_tree = self.original["position_tree"] 181 # Fetch all feature points within radius pixels of position --> 182 indices, distances = pos_tree.query_radius(numpy.array((x,y)), 183 r = radius, 184 return_distance=True,

sklearn/neighbors/binary_tree.pxi in sklearn.neighbors.ball_tree.BinaryTree.query_radius()

/usr/local/lib/python2.7/dist-packages/sklearn/utils/validation.pyc in check_array(array, accept_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, ensure_min_samples, ensure_min_features, warn_on_dtype, estimator) 408 "Reshape your data either using array.reshape(-1, 1) if " 409 "your data has a single feature or array.reshape(1, -1) " --> 410 "if it contains a single sample.".format(array)) 411 array = np.atleast_2d(array) 412 # To ensure that array flags are maintained

ValueError: Expected 2D array, got 1D array instead: array=[299. 517.]. Reshape your data either using array.reshape(-1, 1) if your data has a single feature or array.reshape(1, -1) if it contains a single sample.`