def test_full(self):
test_matrix = np.matrix('0.1, 0.2, 4.0; 3.0, 2.0, 0.2')
fanout = 2
non_matching_cost = 0.24
graph = Graph()
graph.initFromMatrix(test_matrix, fanout)
graph.computePath()
img_path = graph.getImageCorrespodences()
path_real, path_hidden = PT.filterPath(test_matrix, img_path,
non_matching_cost)
path_real_true = np.array([[1, 2], [0, 1]])
self.assertEqual(np.sum(path_real - path_real_true), 0)
self.assertEqual(len(path_hidden), 0)
print("[ERROR] Not enough input paramters")
print("Proper usage: python3 img_seq_matcher.py cost_matrix.txt fanout non_matching_cost")
sys.exit()
cost_matrix = np.loadtxt(sys.argv[1])
# inverting the costs, so that the better the match the smaller is the
# matching cost
fanout = int(sys.argv[2])
# non_matching_cost = 7.5
non_matching_cost = float(sys.argv[3])
print("Size of the matrix", cost_matrix.shape)
print("Max value ", np.max(np.max(cost_matrix)))
print("Min value ", np.min(np.min(cost_matrix)))
print("non_matching_cost ", non_matching_cost)
print("fanout ", fanout)
graph = Graph()
graph.initFromMatrix(cost_matrix, fanout)
graph.computePath()
img_path = graph.getImageCorrespodences()
# filter result
path_coords_real, path_coords_hidden = pt.filterPath(
cost_matrix, img_path, non_matching_cost)
print("Done.")
plt.figure(1)
pt.plotPathOverMatrix(path_coords_real, path_coords_hidden, cost_matrix)
plt.show()